Aiq Moving Average Trading Bands

MetaStock Custom Indicators 5 35 5 MACD Absolute Breitenindex AdvanceDecline Linie mit Negative Volume Adaptive Moving Average, von Perry Kauffman ADXADXR Individuell (ohne Rundung) Arme Index (TRIN) Aroon Indikatoren, von Tushar Chande Average-Modified-Methode, die von Perry Kauffman Bollinger Bands Breite Thrust Candlecode Kerze Stärke Index Chande Momentum Oszillator Composite Durchschnitt Chande Momentum Oszillator Volatilität Chandes Momentum Oszillator Chandes Trendscore Changing Ways AkkumulationDistribution Vergleichende relative Stärke in MetaStock für Windows Vertrauen Coppock Kurve Täglich Close vs High und Low Close Detrended Preis Oszillator Disparitätsindex Anzeigen des Preises einer Sicherheit in 32nds und 64ths Divergence zwischen dem Schließen und einem Indikator Dynamische Momentum Oscillator Elliot Oscillator Endpunkt Moving Average Endpunkte einer linearen Regressionslinie mit Standardabweichungen Gann High Low Gann-Swing-Gann-Trend Gap Identification GRIIF1 Identification Oszillator Hallo Low Welle tägliche historische Volatilität Tägliche historische Volatilität Wöchentlicher Insync Index Kurtosis Indikator MACD Histogramm Marktfazilität Index Marktfazilitation Index Expert Advisor Marktdruck - Ultimate Market Schuboszillator Martin Prings KST Formeln Mass Index McClellan Oszillator McClellan Summationsindex McGinley Dynamisch modifizierter VIX Indikator Geldflussindex Morris Double Momentum Oszillator Moving Average von nur einem Tag einer der Woche Natenbergs Volatilität One Day Money Flow Prozent AboveBelow Moving Average Persistence of Money Flow Plotten Alpha und Beta Polarized Fractal Efficiency Preis Action Indicator (PAIN) Price Oscillator Wave-Preis Volumen Rang Preis Volumen Trend Stochastic Random Walk Index Rate von Veränderung seit einem bestimmten Datum rekursive Verschieben Trend Durchschnittliche Regression Oszillator und der SlopeClose Indikator Relative Strength Index (RSI) Benutzerdefinierte Relative Volatility Index (RVI) R quadriert, Chande amp Krolls Regel von 7 Oszillator Short Volumenwelle Steigung einer Linie Steigung einer linearen Regression Line-Standardfehler Bands für MetaStock für Windows Sonder Trix STIX Oscillator Stochastic D Stochastic Relative Strength Index Stochastic Welle Lange Stochastic Welle Short Unterstützung und Widerstand - Yoni Die neue Advance-Decline-Linie Tick Linie Momentum Oscillator Handels Channel Index Trending Bandini Trend Formel Wahre Stärke Index Tushar Chandes Zielpreis Tushar Chandes Vidya mit Volatilitätsbändern Volatilität Volatilität Differenzvolumen Akkumulationsindikator Volumen Oszillatorwelle Wöchentlich Hoch Niedrig Welle Wöchentlich Oszillator Segment Wochenpreis Oszillator Wilders Volatilität TASC Händler Tipps Freeburg Edelmetall Schalter Fonds System Rainbow Charts Mit Fibonacci Ratios und Impuls Volatility Indicator Breaking out Preiskanäle Glättungstechniken für präzisere Signale Verankerte Momentum Double Tops und Double Bottoms Adaptive Moving Average Automatische Unterstützung und Resistenz Mutierte Variablen, Volatilität und ein neues Marktparadigma Kanalanalyse Volatilitätshandel von Gold Von Begriffen zu technischen Tools Einfacher Moving Average mit Resistenz und Unterstützung Kombinieren von statistischer und Musteranalyse, Shark 32 Bessere Bollinger-Bänder Dynamische Mehrfachzeitrahmen Sine-Wave-gewichteter Moving Average MetaStock - 5 35 5 MACD Die 5,35,5 MACD ist eine Variation der Standard-12,26,9 MACD und wurde populär gemacht Von Chris Manning, der es benutzt, um wichtige Marktdivergenzpunkte zu identifizieren: (Mov (CLOSE, 5, E) - Mov (CLOSE, 35, E) - Mov (Mov (CLOSE, 5, E) - Mov ( CLOSE, 35, E)), 5, E))) Wenn das erste Diagramm in einem Diagramm dargestellt wird, erscheint die 5,35,5 MACD als eine durchgezogene Linie ohne horizontale Linie mit dem Wert Null (siehe untenstehendes Bild) . Nach dem Anlegen der 5 35 5 MACD-Anzeige auf Ihr Diagramm, verwenden Sie die folgenden Schritte, um ein Histogramm mit vertikaler Linie bei Null zu erstellen. A) Doppelklicken Sie auf das Kennzeichen, um das Dialogfeld Eigenschaften zu öffnen. B) Wählen Sie die Registerkarte ColorStyle aus und wählen Sie in der Dropdown-Liste Stil die Histogramm-Einstellung aus (zweiter von unten). C) Wählen Sie die Registerkarte Horizontale Linien und geben Sie einen Wert von Null (0) für den horizontalen Zeilenwert ein. Klicken Sie auf Hinzufügen. D) Klicken Sie auf OK (Anzeige erscheint wie unten abgebildet) MetaStock Formel - Absoluter Breadth Index Der Absolute Breadth Index (ABI) ist ein Marktimpulsindikator, der von Norman G. Fosback entwickelt wurde. Das ABI zeigt, wie viel Aktivität, Volatilität und Veränderung an der New York Stock Exchange stattfindet, während die Richtungspreise ignoriert werden. Sie können an die ABI als quotactivity indexquot denken. Hohe Messwerte deuten auf Marktaktivität und Veränderung hin, während niedrige Messwerte auf fehlende Veränderungen hindeuten. In Herrn Fosbacks Buch, Aktienmarkt-Logik. Er weist darauf hin, dass historisch hohe Werte in der Regel zu höheren Preisen führen drei bis zwölf Monate später. Die MetaStock-Formel für den Absoluten Breadth Index lautet: ABS (Advancing Issues - Declining Issues) Um es zu plotten: Erstellen Sie eine zusammengesetzte Sicherheit der Advancing Issues - Declining Issues. Verwenden Sie in Windows-Versionen den DownLoader zum Erstellen der zusammengesetzten oder in den DOS-Versionen verwenden MetaStocks File Maintenance, um den Composite zu erstellen. In MetaStock öffnen Sie die Composite-und Plot der benutzerdefinierten Formel ABS (C) auf sie. MetaStock-Formel - Advance Decline Line mit negativem Volumen Es gibt einen Weg, um die negative Lautstärke auf einem Vorab-Linine-Diagramm in MetaStock für Windows zu erhalten. Die Anforderung ist: Jede Sicherheit muss sowohl die Anzahl der Probleme und das Volumen in der Datei. Fortschreitende Probleme mit fortschreitendem Volumen in einem Sicherheitsprogramm und sinkenden Problemen mit sinkender Lautstärke in einer Sicherheitsdatei. Diese Dateien können von Reuters Trend Data über The DownLoader für Windows bezogen werden. Sie müssen auch eine zusammengesetzte Sicherheit der Advance-Decline-Linie erstellen, die die Fortschritte - sinkt. Die folgenden Schritte erhalten Sie eine Vorschusslinie mit negativem Volumen, wo zutreffend. Führen Sie diese Schritte einmal aus und speichern Sie sie als CHART. Wenn Sie es verwenden möchten, laden Sie einfach das Diagramm und das Programm wird das neue Volumenplot mit den neuen Daten berechnen. Erstellen Sie ein NEUES Diagramm der Fortschritte. Erstellen Sie ein NEUES Diagramm der rückläufigen Probleme. Erstellen Sie ein NEU-Diagramm der Vorab-Rückgang Composite. Erstellen Sie ein neues INNER FENSTER auf dem sinkenden Ausgabendiagramm. Löschen Sie die Volumenplot auf der Vorab-Rückgang Composite-Diagramm. Kopieren Sie den Datenträger aus dem Diagramm Fortschritte Probleme und fügen Sie es in das neue innere Fenster auf dem Diagramm mit abnehmenden Problemen ein. Drop die benutzerdefinierte Formel, P-V auf dem vorrückenden Volumen Plot in der sinkenden Fragen Chart, die Schaffung einer neuen Skala. Kopieren Sie dieses Diagramm in das leere innere Fenster (wo das Volumen war) des Vorab-Abnahme-Komposits. Speichern Sie dieses Diagramm als adv-deklumentieren Diagramm (möglicherweise advdecl. mwc). Dies wird die Tabelle, die Sie laden, um Ihre Studie der Vorab-Rückgang Linie mit negativen Volumen MetaStock Formula - Adaptive Moving Average, von Perry Kaufman Dies ist eine Metastock für Windows Version 6.5 Formel. Periods: Input (Quotime Periodsquot, 1,1000, 10) Richtung: CLOSE - Ref (Schließen, - perioden) SSC: ER (FastSC - SlowSC) SlowSC AMA: Wenn (Cum (1) Perioden 1, ref (Schließen, MetaStock-Formel - ADX ADXR Benutzerdefiniert (ohne Rundung) Hier sind benutzerdefinierte ADX - und ADXR-Formeln, die die Dezimalstellen nach der Berechnung darstellen. Die eingebauten Indikatoren plotten genau so, wie Welles Wilder sie in seinem Buch "Neue Konzepte in technischen Handelssystemen" aufzeigt. Diese benutzerdefinierten Indikatoren berechnen die gleiche Weise, außer sie nicht rund wie Wilder tut. Perioden: Input (Quotime Periodsquot, 1,100,14) PlusDM: Wenn (HgtRef (H, -1) UND LgtRef (L, -1), H-Ref (H, -1), If (HgtRef (H, (H, -1) - L, H-Ref (H, -1), 0)) PlusDI: 100Wilders (PlusDM, Perioden (L, L) und LltRef (L, -1) und HltRef (H, -1), Ref (L, -1) - L, If (HgtRef (H, 1) und H-Ref (H, -1) ltRef (L, -1) - L, Ref (L, -1) - L, 0)) MinusDI: 100Wilders (MinusDM, Perioden) ATR (Perioden) DIDif: (plusDI-MinusDI) DISum: PlusDIMinusDI ADXFinal: 100Wilders (DIDifDISum, Perioden) ADXFinal Zeiten: Eingang (quotTime Periodsquot, 1,100,14) plusDM: If (HgtRef (H, -1) und LltRef (L, -1), H - (H, -1) und H-Ref (H, -1) gtRef (L, -1) - L, H-Ref (H. (L, -1) und HltRef (H, -1), Ref (L, -1) - L, (& ndash; Wenn HgtRef (H, -1) UND LltRef (L, -1) und H-Ref (H, -1) ltRef (L, -1) - L, Ref (L, -1) - L, 0) MinusDI: 100Wilders (MinusDM, Perioden) ATR (Perioden) DIDif: Abs (PlusDI-MinusDI) DISum: PlusDIMinusDI ADXFinal: 100Wilders (DIDifDISum, Perioden) ADXRCustom: (ADXFinalRef (ADXFinal, LastValue (1-Perioden))) 2 ADXRCustom MetaStock-Formel - Waffenindex (TRIN) Der Waffenindex, auch TRIN genannt, ist ein Marktindikator, der die Beziehung zwischen der Anzahl der Aktien, die den Preis steigen oder sinken (fortschreitende absteigende Emissionen) und das Volumen der Aktien, die den Preis erhöhen oder senken, zeigt (Vorschubvolumen). Der Waffenindex wurde 1967 von Richard W. Arms, Jr. entwickelt. Der Waffenindex ist in erster Linie ein kurzfristiges Handelsinstrument. Der Index zeigt, ob Volumen in fortschreitende oder sinkende Bestände fließt. Wenn mehr Volumina mit dem Vorrücken von Beständen verbunden sind als die abnehmenden Bestände, wird der Arms-Index weniger als 1,0 betragen, wenn mehr Volumen mit sinkenden Beständen verbunden ist, wird der Index größer als 1,0 sein. Die Formel für den Arms-Index lautet: (Fortschreitende Ausgaben abnehmende Ausgaben) Für die Berechnung des Arms-Index in MetaStock für Windows müssen Sie zunächst die vier Datenmengen sammeln. Reuters Trend Data (RTD) liefert diese Daten in zwei Dateien. Die Ticker sind X. NYSE-A (Anzahlungen, Anzahl und Volumen) und X. NYSE-D (Ablehnungen, Anzahl und Volumen). DialData liefert diese Daten auch in zwei Dateien. Anzahlungen, Anzahl und Lautstärke, Ablehnen, Anzahl und Lautstärke. Die Ticker sind NAZK und NDZK. CompuServe liefert diese Daten in 4 Dateien. Die Tickers sind NYSEI (Advances) verwenden die Cusip 00000157 anstatt das Symbol NYSEJ (Rückgänge) NYUP (Advance Volume) und NYDN (Rückgang Volumen). Nachdem die Daten gesammelt wurden, gehen Sie folgendermaßen vor: Für Daten aus RTD - oder Dial-Daten Erstellen Sie im DownLoader eine zusammengesetzte Sicherheit der Advances Declines. In MetaStock öffnen Sie das Composite. Erstellen und zeichnen Sie die benutzerdefinierte Formel: CV Dies gibt Ihnen den Arms Index (TRIN). Für Daten von CompuServe Erstellen Sie im DownLoader die beiden Composites. Fortschreitende Ausgaben Abnehmende Ausgaben Fortschreitendes Volumen Abfallendes Volumen In MetaStock öffnen Sie beide Composites. Kacheln Sie die Diagramme, so dass sie beide betrachtet werden können. Ziehen Sie den Plot des Adv. VolumeDec. Volumenverbund zu einem Innenfenster im Adv. IssuesDec. Problemdiagramm. Erstellen Sie die benutzerdefinierte Formel: CP Plot diese Formel auf der Adv. VolumeDec. Volume-Plot (der Adv. VolumeDec. Volume-Plot wird eine violette Farbe zu bezeichnen, um die Formel wird auf ihr gezeichnet). Sie wissen, haben die Arms Index (TRIN) aufgetragen. Sie können es zu seinem eigenen Fenster ziehen, wenn Sie es vorziehen. MetaStock Formula - Aroon Indicators, von Tushar Chande Für die Interpretation der Aroon Indikatoren beziehen sich auf Tushar Chandes Artikel Time Price Oscillator im September, 95 Technische Analyse von Stocks amp Commodities Magazin. Wenn (Ref (L, -3) LLV (L, 14), 2. Wenn (Ref (L, ) LLV (L, 14), 5, If (Ref (L, -4) LLV (L, 14) (L, -6) LLV (L, 14), 8, Wenn (Ref (L, (L, -9) LLV (L, 14), 9, Wenn (Ref (L, -10) LLV (L, 14) (L, 14), 13, If (Ref (L, -14) LLV (L, 14), 14, 0))))))) 14 MetaStock Formel - Breitenschub Der Breadth Thrust Indikator ist ein Marktdynamikindikator, der von Dr. Martin Zweig entwickelt wurde. Der Breadth Thrust wird berechnet, indem ein zehntägiger exponentieller gleitender Durchschnitt der vorrückenden Ausgaben geteilt durch die vorrückenden und rückläufigen Probleme berechnet wird. Nach Dr. Zweig tritt ein Breadth Thrust auf, wenn der Breadthhrind-Indikator während einer 10-tägigen Periode von unter 40 Prozent auf über 61,5 Prozent ansteigt. Ein quotierter Trustquot zeigt an, dass sich der Aktienmarkt von einem überverkauften Zustand rasch zu einer der Stärken gewandelt hat, aber noch nicht überkauft ist. Dr. Zweig weist auch darauf hin, dass es seit 1945 nur 14 Breiten-Thrusts gab. Der durchschnittliche Gewinn nach diesen 14 Thrusts betrug 24,6 Prozent in einem durchschnittlichen Zeitrahmen von 11 Monaten. Dr. Zweig weist auch darauf hin, dass die meisten Bullenmärkte mit einem Breadth Thrust beginnen. Um die Marktbreite in MetaStock für Windows zu skizzieren, müssen Sie Folgendes tun: Erstellen Sie eine zusammengesetzte Sicherheit für die Probleme, die Probleme mit dem Fortschrittsproblem haben, im DownLoader. In MetaStock öffnen Sie ein Diagramm des zusammengesetzten und ein Diagramm der vorrückenden Ausgaben. Kacheln Sie die Diagramme, so dass Sie beide auf dem Bildschirm sehen können. Ziehen Sie den Plot des Composite in das Diagramm der Advancing Issues. Erstellen Sie die benutzerdefinierte Anzeige: mov (C P, 10, E), und zeichnen Sie sie dann auf dem Plot des Komposits auf (das Komposit-Diagramm wird eine violette Farbe). Wenn Sie eine flache Linie erhalten, dann wurde es nicht direkt über dem Kompositgrundstück aufgetragen. MetaStock-Formel - Candlecode Bdy: Abs (OC) Lshd: Wenn (CgtO, OL, CL.), Klicken Sie mit der rechten Maustaste auf den Breadth Thrust, wählen Sie Breadth Thrust Properties, (Bj, 55, E, 0,5) ThBotL: BBandBot (Lshd, 55, E, 0,5) ThTopL: BBandTop (Lshd, 55, E, 0,5) ThBotU: BBandBot (Ushd, 55, E, 0,5) ThTopU: BBandTop (Ushd, 55, E, 0,5) CCode: Wenn (CO, 1,0) If (UshdgtLshd, 64,48 (BdygtThTopB, 112,0) Wenn (CltO, 1,0) (If (CgtO, 1,0) (If (BdyltThBotB, 80,0) (LshdgtThBotL UND Lshdgt0,2,0) Wenn (LshdgtThBotL UND LshdltThTopL UND. (LshdgtThBotL UND Lshdgt0,2,0) If (LshdltThBotL UND LshdltThTopL AND (UshdgtThbotU UND UshdltThTopU, 8,0) If (UshdgtThTopU, 12,0)) CCode MetaStock Formel - Kerzenstärkenindex Cum (If (Fml (Fml (quotTodays Changequot), 7, E) UND C-Ref (c, -1) Vergleichende relative Stärke in MetaStock für Windows Vergleichende Relativstärkendiagramme können bei der Entscheidungsfindung von Nutzen sein. C-Ref (C, -1), Neg (CV), 0) Die Sicherheit zu kaufen, indem sie helfen, die besten Performer zu ermitteln. Sie können auch nützlich sein bei der Entwicklung von Spreads, dh Kauf der besten Performer quotlongquot, und Verkauf der schwächeren Fragen quotshort. quot Vergleichende relative Stärke kann in MetaStock für Windows wie folgt angewendet werden: Erstellung einer Vorlage für Vergleichende relative Stärke (Für diese Abbildung , Gehen wir davon aus, dass ein Equitystock mit dem SampP 500 verglichen wird, die beide zuerst von Ihrem Lieferanten gesammelt werden müssen. Beide Datendateien sollten in der gleichen Periodizität sein.) Laden Sie den SampP 500. Laden Sie das Eigenkapital, oder was auch immer Sie suchen Die relative Stärke für. Ziehen Sie das SampP 500-Diagramm in ein neues inneres Fenster des Eigenkapitals. (Möglicherweise müssen Sie zuerst auf Stapel klicken.) Schließen Sie das SampP 500-Diagramm. Erstellen Sie eine benutzerdefinierte Anzeige: Div (schließen, p) Ziehen Sie die benutzerdefinierte Anzeige in das innere Fenster, in dem sich das SampP 500-Diagramm befindet, und verschieben Sie es über den Plot, bis das Plot in eine rosa oder lavendelfarbe wechselt. (Dies wird als Ziehen und Ablegen eines Indikators auf einem Indikator bezeichnet. Der neue Indikator wird im gleichen Fenster wie das SampP 500-Diagramm dargestellt.) Sie haben zwei Möglichkeiten: Sie können die Farbe des SampP 500-Plots ändern Die Diagrammhintergrundfarbe, so dass sie effektiv unsichtbar ist. (Doppelklicken Sie auf den SampP 500 Plot, um zu seinem quotpropertiesquot zu gelangen, dann wählen Sie die Farbe, die Sie aus der Liste Farben benötigen.) Sie können beide Plots verschiedene Farben geben, so dass Sie wissen können, welches welches ist. Speichern Sie dieses Diagramm als Vorlage. (FileSave As, setSave-Datei als Typequot auf Template setzen und ihm einen Namen wie CMPRELST. MWT geben.) Wann immer Sie die relative relative Stärke eines Eigenkapitals gegenüber dem SampP 500 sehen wollen, wenden Sie diese Vorlage auf das Equity-Diagramm an. Hinweis: Wenn Sie die Datendatei, mit der Sie verglichen werden, verschieben möchten, z. B. das SampP 500, wird diese Vorlage nicht mehr funktionieren und muss neu erstellt werden. So führen Sie eine Exploration mit vergleichbarer relativer Stärke aus Laden Sie den SampP 500 (oder was auch immer Sie vergleichen möchten). Erstellen Sie ein benutzerdefiniertes Kennzeichen für die Schaltfläche Schließen. Ziehen Sie diese Anzeige auf dem SampP 500 (oder was auch immer). (Hinweis: Der SampP 500-Plot muss sich in Pinklavenderfarbe ändern, bevor Sie ihn fallen lassen.) Die Anzeige wird gezeichnet. Markieren Sie das Indikatorplot (durch einfaches Klicken mit der linken Maustaste auf der Zeile). Machen Sie eine Erkundung mit DIV (Schließen, p) in Spalte A und legen Sie fest, welches Verzeichnis zu erkunden ist. Die Ergebnisse werden im Explorationsbericht angezeigt. MetaStock-Formel - Vertrauen (Summe (Mov (C (2.5 Sqrt (50 V)), 10, S) - LLV (Mov (C (2.5 Sqrt ( LLV (Mov (C (2,5 Sqrt (50 V)), 10, S), 5), 3) Summe (HHV (Mov (C (2,5 Sqrt (50 V) Die Coppock-Kurve wurde von Edwin Sedgwick Coppock im Jahre 1962 entwickelt. Sie wurde in der November-Ausgabe der Technical Analysis of Stocks amp Commodities vorgestellt. In dem Artikel The Coppock Curvequot. Geschrieben von Elliot Middleton. Genommen von Stocks amp Gebrauchsgüter, V. 12:11 (459-462): Die Coppock Kurve durch Elliott Middleton quotWe sind Geschöpfe der Gewohnheit. Wir beurteilen die Welt relativ zu dem, was wir erlebt haben. Wenn waren einkaufen für eine Hypothek und die Preise wurden in den Teens (wie sie in den frühen 1980er Jahren) und dann auf 10 fallen, sind wir begeistert. Wenn jedoch sie bei 8 gewesen sind und dann auf 10 steigen, sind wir enttäuscht. Es hängt alles von Ihrer Perspektive. Das Prinzip der Anpassungsebene gilt, wie wir unser Einkommen, unsere Aktienkurse und praktisch jede andere Variable in unserem Leben beurteilen. Psychologisch dominiert die Relativität. Der gleitende Durchschnitt ist die einfachste Form der Anpassungsebene. Die Verschiebung der durchschnittlichen Crossover-Regeln signalisiert den Beginn der Rückkehr außerhalb der Norm positiv oder negativ. Dies macht gleitenden Durchschnitt Crossovers nützlich für Händler, die einen Schub bei der Eingabe oder Ausstieg aus Aktien oder Fonds erhalten wollen. Der Oszillator basiert ebenfalls auf Anpassungsstufe, allerdings etwas anders. Oszillatoren beginnen in der Regel durch Berechnung einer prozentualen Änderung des aktuellen Preises von einigen früheren Preis, wo der vorherige Preis ist die Anpassung-Ebene oder Bezugspunkt. Der Geist ist auf prozentuale Veränderungen abgestimmt, da sie Rückschlüsse darstellen. Wenn Sie Microsoft Corp.-Aktien (MSFT) bei 50 gekauft und es geht zu 80, machen Sie 60 vor Dividenden. Wenn Sie Berkshire Hathaway (BRK) bei 4.000 gekauft und es steigt auf 4.030, den gleichen Dollar-Gewinn, machen Sie 0,75 vor Dividenden. Es ist die prozentuale Veränderung, die zählt. Relativität wieder. Coppock begründete, dass der emotionale Zustand der Märkte durch Addition der prozentualen Veränderungen in der jüngsten Vergangenheit bestimmt werden könnte, um ein Gefühl für die Dynamik der Märkte zu bekommen (und Oszillatoren sind in der Regel Impulsindikatoren). Also, wenn wir die Preise vergleichen im Vergleich zu einem Jahr - was geschieht, um die häufigste Intervall sein - und wir sehen, dass in diesem Monat der Markt um 15 über ein Jahr her, im vergangenen Monat war es 12,5 über ein Jahr vor und 10, 7.5 und 5, die Monate davor, dann können wir beurteilen, dass der Markt an Dynamik gewinnt und wie ein Trader, der für die Aufwärtsüberkreuzung des gleitenden Durchschnittes aufwacht, in den Markt springen kann. Die MetaStock Formel für das Coppock Kurve ist: wobei X die Anzahl der Zeitperioden für den Oszillator und TX 2 ist. Beispielsweise wäre ein 20 Perioden DPO: X 20 T (202 1) 11 Close-Ref (Mov (Close, 20, Simple), 11) MetaStock Indicator - Disparitätsindex Steve Nison bezieht sich auf seine Disparity Index Quoten eine prozentuale Anzeige der letzten nah an einem gewählten gleitenden Averagequot. Dies kann in MetaStock unter Verwendung der folgenden Formel definiert werden: (C - Mov (C, X.)) Mov (C, X) 100 wobei X die Anzahl der Zeitperioden und. Ist die Berechnungsart des gleitenden Durchschnitts. ((C, 13, E)) Mov (C, 13, E)) 100 wobei X 13 Zeitperioden und. Exponentieller gleitender Durchschnitt. MetaStock Indicator - Anzeige des Preises eines Security in 32nds und 64ths Alle Versionen von MetaStock vor unserer Windows-Software benötigen diese Formel. Sie können Ihre Sicherheit Preise in 32nds und 64ths, indem Sie die folgenden benutzerdefinierten Formeln. Nach der Darstellung werden diese Werte im Anzeigefenster angezeigt. INT (C) (FRAC (C) .03125) 100) INT (C) (FRAC (C) .015625) 100) Wenn C für den Schlusskurs der Wertpapiere gilt und durch O, H oder L ersetzt werden kann Der offene, hohe oder niedrige Preis statt. MetaStock Indicator - Divergenz zwischen Close und Indicator Die folgende Formel berechnet die Korrelation von Close und MACD. Es wird mit einem MIDI-Quellcode-MACD geschrieben, so dass die von der MACD verwendeten Zeitperioden geändert werden können. In der Windows-Version von MetaStock lautet die Formel: Correl ((Summe (1) (Mov (C, 12, E) - Mov (C, 26, E)) (Summe (Cum (1), 100)) - (Summe (Cum (1), 100) (Summe (Cum (1), 100), 2) 100)), ((Summe (Cum (1) C, 100)) - (Summe (Cum (1), 100), 2) 100)), (12) , 0) Die Interpretation der Indikatorausgabe ist wie folgt: - .08 (80) und niedriger ist die Divergenz zwischen dem Schließen und dem MACD. - 1 ist eine sehr starke Divergenz. 1 ist eine sehr starke Korrelation. Die Formel wurde so konstruiert, dass die meisten anderen Indikatoren anstelle der MACD verwendet werden können. Beispielsweise ist hier der gleiche Indikator unter Verwendung des RSI (14): Correl ((Summe (Cum (1) (RSI (14)), 100)) - (Summe (Cum (1), 100) Summe ((RSI (Summe (Summe (1), 100), 2) 100)), ((Summe (Cum (1), 2), 100) Cum (1) C, 100)) - (Summe (C (100) 100)) ((Summe (Leistung (Cum (1), 2) MetaStock-Indikator - Dynamischer Momentum-Oszillator Im Juli 1996 stellt Futures-Magazin E. Marshall Wall den Dynamic Impuls-Oszillator (Dynamo) vor. Bitte beachten Sie diesen Artikel für Interpretation. Er beschreibt den Dynamo-Oszillator zu sein: Dynamo Mc - (MAo - O) wobei Mc der Mittelpunkt des Oszillators MAo ein gleitender Durchschnitt des Oszillators O der Oszillator Dieses Konzept kann für die meisten jeden Oszillator angewendet werden, um seine Ergebnisse zu verbessern. Die Anwendung des Dynamo-Oszillators auf einen 5-stündigen K verlangsamt 3 Perioden Stochastischer Oszillator würde geben: wobei: Mc Stochastische Oszillatoren Mittelpunkt 50 MAo Beweglicher Durchschnitt der Stochastischen Bewegung (Stoch (5,3), 21, SO Stochastischer Oszillator Stoch (5,3 ) Dieses Beispiel gilt für einen RSI-Oszillator: Hierbei gilt: Mc RSI-Mittelpunkt 50 MAo Moving-Mittelwert der RSI-Bewegung (RSI 14), 21, SO RSI-Oszillator RSI (14) MetaStock-Anzeige - Elliot-Oszillator-MetaStock-Indikator - Der Endpunkt Moving Average wurde in der Oktober-Ausgabe von Technical Analysis of Stocks amp Commodities in dem Artikel "The End Point Moving Averagequot" von Patrick E. Lafferty eingeführt, wobei die genaue Formel für den Endpunkt Moving Average wie folgt lautet: (14 Summe (Cum (1), 14) Summe (C, 14) (14 Summe (Pwr (Cum (1), 2), 14) - Pwr (Summe (Cum (1) (Cum (1), 14, S) (14 Summe (Cum (1) C, 14) - Summe (Cum (2), 14) - Pwr (Summe (Cum (1), 14), 2))) Die obigen Formelschemata (1), 14) Summe (C, 14) Der letzte Wert einer linearen Regressionsgerade der vorhergehenden 14 Perioden. Die Zeitreihenprognose nimmt diesen Wert und die Steigung der Regressionsgerade an, um den nächsten Tag vorherzusagen und stellt dann diesen prognostizierten Preis als heutigen Wert dar. Bitte beachten Sie, dass die obige Formel 14 Regressionszeiten verwendet. Wenn Sie verschiedene Zeiträume verwenden möchten, müssen Sie alle Instanzen der Zahl 14 auf die gewünschte Anzahl von Zeiträumen ändern. Zur Interpretation siehe Artikel von Herrn Laffertys. MetaStock Indicator - Endpunkte einer linearen Regression mit Standardabweichungen In MetaStock 5.x für Windows gibt es eine Möglichkeit, die Endpunkte einer linearen Regressionslinie mit Kanälen - 2 Standardabweichungen darzustellen. Hier sind die drei Formeln: Lineare Regression (14): (14 Summe (Cum (1) C, 14) - Summe (Cum (1), 14) Summe (C, 14) (14 Summe (Pwr (Cum (1 (2), 14) - Pwr (Summe (Cum (1), 14), 2)) Cum (1) (Mov (C, 14, S) Summe (Cum (1), 14) Summe (C, 14) (14 Summe (Pwr (Cum (1), 2), 14) - Pwr (Summe (Cum (1) 1), 14), 2))) Lineare Regression Unteres Band: Fml (lineare Regression (14)) - 2 Stdev (Fml (lineare Regression (14))), 14) Lineare Regression Obere: Fml (lineare Regression (14 ) 2 Stdev (Fml (lineare Regression (14))), 14) MetaStock-Indikator - Plotten von Alpha und Beta Gehen Sie folgendermaßen vor, um Alpha und Beta in MetaStock darzustellen. Das benutzerdefinierte Kennzeichen Beta ist erforderlich, um Alpha zu zeichnen. In den Windows-Versionen von MetaStock: So zeichnen Sie Alpha: Erstellen Sie die benutzerdefinierten Formeln Alpha und Beta (siehe unten für Formel-Syntax). Öffnen Sie ein Diagramm der gewünschten Sicherheit. Ziehen Sie den Preisplot des Index, den Sie vergleichen, in das Diagramm des Wertpapiers und schließen Sie das Diagramm des Index. Maximieren Sie die Sicherheitskarte, wenn nötig. Ziehen Sie die benutzerdefinierte Anzeige Alpha aus der Schnellliste und legen Sie sie auf den Preisplot des Indexes ab. Das Index-Diagramm wird eine violette Farbe, wenn Sie plotten oben sind. Diese Formel ist so festgelegt, dass Alpha über 21 Perioden berechnet wird. Um die Zeiträume zu ändern, ersetzen Sie jede Instanz von 21 in der Formel durch die gewünschte Anzahl von Perioden und ändern Sie auch die Zeiträume im benutzerdefinierten Beta-Indikator. (Summe (ROC (SCHLIESSEN, 1,), 21) - (Fml (SummeBetaquot) Summe (ROC (INDIKATOR, 1,), 21))) 21 Betrachten Sie ein Diagramm der gewünschten Sicherheit. Ziehen Sie den Preisplot des Indexes, den Sie vergleichen, in das Diagramm des Wertpapiers. Ziehen Sie dieses benutzerdefinierte Kennzeichen aus der Liste und legen Sie es auf die Preisübersicht des Indexes ab. Beachten Sie, dass diese Formel gesetzt ist, um Beta über 21 Perioden zu berechnen. Um die Zeiträume zu ändern, ersetzen Sie jede Instanz von 21 in der Formel durch die gewünschte Anzahl von Perioden. (Summe (ROC (SCHLIESSEN, 1,), 21) Summe (ROC (INDIKATOR, 1,), 21) ) (2), 21)) - Pwr (Summe (ROC (INDIKATOR, 1,), 21), 2)) Beta ist ein Maß für die Volatilität eines Wertpapiers Gegen einen anderen. Dies wird typischerweise verwendet, um die Volatilität einer Aktie gegenüber einem Index wie dem SampP 500 zu messen. Ein Wert größer als 1 zeigt an, dass der Bestand volatiler als der Index ist. MetaStock Indicator - Polarized Fractual Efficiency Die Januar 1994 Ausgabe von Stocks amp Commodities zeigte einen Artikel von Hans Hannula über Polarized Fractual Efficiency. Hier ist die benutzerdefinierte Formel für die Erstellung des fünfperiodischen geglätteten 10-Tage-PFE unter Verwendung von MetaStock: Mov (If (C, gt, Ref (C, -9), Sqr (Pwr (Roc (C, 9,), 2) Pwr (10,2)) Summe (Prr (Roc (C, 1,), 2) 1), 9), - Sqr (Pwr (Roc (C, 9,), (PAQ) Wenn Sie heute nur noch offen, hoch, niedrig und geschlossen sind, Wie könnte man Köpfe oder Schwänze davon machen Der Preis Action Indicator (PAIN) kann helfen. Die Formel gibt einen einzigen Wert zurück, der das Intra-Day-Momentum (C-O), den Late Selling-Druck (LSP) (C-L) und den Late-Buying-Druck (LBP) (C-H) wiegt. Die Formel wird durch den Aufbau von idealen Limit - und Limit-Down-Szenarien in Bond-Futures bewiesen. Die Ausgabe ist im Einklang mit der Interpretation der japanischen Candlestick-Muster. Siehe Michael B. Geraty (1997). BITTE WARTEN 26: Aug. MetaStock-Indikator - Preis-Oscillator-Welle MetaStock-Indikator - Preisvolumen-Rang aus Lagerbestand amp Commodities, V. 12: 6 (235-239): Preis-Volumen-Rang von Anthony J. Macek quotImagine empfängt eine Warnung, wenn der Markt war Wahrscheinlich zu kollabieren oder alarmiert, wenn einer Ihrer Lieblings-Aktien war im Begriff, zu sammeln. Was wäre, wenn diese Signale aus einer Analyse stammten, die einfach genug war, um auf einen Computer zu verzichten und nur ein paar Minuten am Tag zu aktualisieren, mit nur zwei Informationen, die in praktisch jeder Zeitung gefunden wurden. Anthony Macek erklärt. Das alte Sprichwort, die Dinge einfach zu halten, gilt auch für die Investment-Welt. Analysemethoden wie polarisierte Fraktaleffizienz und Preisoszillatordivergenzen sind ein großer Job, aber für diejenigen, die weder die Zeit noch die Neigung haben, die Techniken zu überwachen, die notwendig sind, um jeden Blip und Sputter zu überwachen, den der Markt produziert, können genauso gut bedient werden Nur zwei sehr wichtige Marktvariablen: Preis und Volumen. quot Für Interpretation beziehen sich auf die Juni-Ausgabe der Technical Analysis of Stocks amp Commodities. Sie müssen alle folgenden benutzerdefinierten Formeln erstellen, damit der PV-Rank ordnungsgemäß berechnet wird. PV (1), wenn (V, lt, Ref (V, -1), 2, 0)), 0) PV2: Wenn (C, lt, Ref (C, -1), If (V, lt, Ref (V, , Gt, Ref (V, -1), 4, 0)), 0) PV Biggie: (Dies vereinigt alle Formeln zu einer Formel) Wenn (C, gt, Ref (C, -1), If (V, gt (V, -1), If (V, lt, Ref (V, -1), 2, 0)), wenn (C, lt, Ref (C, (V, gt, Ref (V, -1), 4, 0)), 0)) MetaStock-Indikator - Preis-Volumen-Trend Stochastisch Die folgenden Formeln für den Random-Walk-Index , Wurden unter Verwendung von Informationen aus dem Artikel quotAre There Persistent Cyclesquot. Von E. Michael Poulos, im September 1992 TASC. Alle Formeln werden benötigt. (Ref (HIGH, -1) - LOW) ((Ref (HOCH, - 1), 2), - 1) 2) Sqrt (2) (Ref (Summe (Atr (1), 3), - 1) 3) Sqrt (3)), Max ((Ref (HIGH, -3) - LOW) ((Ref (Summe (Atr (1), 5), - 1) 5) ((Ref (HOCH, -4) - NIEDRIG) Sqrt (6), Sqrt (6)), Max ((Ref (HIGH, -5) - LOW) (Ref (Summe (Atr (1), 6) (Ref (Summe (Atr (1), 7), - 1) 7) Sqrt (7), Max ((Ref (HIGH, -7) - LOW) (Ref (Summe (Atr (1), 9), - 1) 9) (Ref (HOCH, Sqrt (9)))))))) MetaStock Formel - Änderungsrate seit einem bestimmten Datum Die folgende Formel zeigt eine prozentuale Veränderungsrate zwischen einem bestimmten Datum und heute. Der Benutzer wird zur Eingabe des bestimmten Datums aufgefordert. Dies funktioniert nur in MetaStock für Windows 95NT Version 6.5 (oder höher) oder in MetaStock Professional. Konstruieren Sie die Formel im Indicator Builder und geben Sie den Namen unten in Fettdruck an. Der gesamte Text nach quotFORMULA: quot und before quotEND von FORMULAquot sollte im Feld Formel im Indicator Builder platziert werden. Sobald der Indikator erstellt wurde, können Sie ihn aus der Indikator-Schnellliste für die Platzierung in ein inneres Fenster des Diagramms ziehen. NAME: ROC Seit einem Datum Tag1: Input (quotDayquot, 1,31,4) Monat 1: Input (quotMonthquot, 1,12,1) Jahr1: Input (quotYearquot, 1900,2400,1999) 100 (CLOSE - ValueWhen (1, TagOFMonth () Tag1 UND Monat () Monat1 UND Jahr () Jahr1, SCHLIESSEN)) ValueWhen (1, DayOfMonth () Tag1 UND Monat () Monat1 UND Jahr () Jahr1, CLOSE) MetaStock-Indikator - Rekursive Verschiebung Trend Durchschnittliche MetaStock-Anzeige - Regression Oscillator und SlopeClose-Indikator In MetaStock 6.0 ist es einfach, den Regression-Oszillator und den SlopeClose-Indikator von Richard Goeddes-Artikel, quotMarket-Timing mit dem Regression-Oszillatorquot zu erstellen, der in der März-Ausgabe von Technical Analysis Stocks und Commodities erscheint. Wählen Sie Indicator Builder aus dem Menü Extras aus, und geben Sie die folgenden Formeln ein: Regression Oszillator 100 (CLOSE LinearReg (CLOSE, 63) -1) SlopeClose 10000 LinRegSlope (CLOSE, 63) CLOSE Ziehen Sie als nächstes jede dieser Formeln aus der Anzeige QuickList und löschen Sie sie Auf der Überschrift eines Diagramms. Um horizontale Linien zu erzeugen, klicken Sie mit der rechten Maustaste, während der Mauszeiger über dem Regression-Oszillator positioniert ist, um das Kontextmenü anzuzeigen. Wählen Sie Regression Oscillator Properties. Fügen Sie auf der horizontalen Linie horizontale Linien bei 14, 0 und -14 hinzu. Sie können den Explorer verwenden, um den in dem Artikel erwähnten Bildschirm auszuführen. Wählen Sie zuerst den Explorer im Menü Extras, und erstellen Sie als nächstes eine neue Exploration mit den folgenden Informationen: Spalte A Name: Reg Osc Formel: Fml (Regression Oscillatorquot) Spalte B Name: SlpCls Formel: Fml (quotSlopeClosequot) Filterformel: ColB gt 50 and ColA gt-15 und ColA lt -5 Wählen Sie OK und dann Erkunden, um die Exploration zu starten. Für MetaStock für Windows 5.x Benutzer die Anweisungen sind die gleichen, außer geben Sie die folgenden benutzerdefinierten Indikator an Stelle der oben genannten. Regression Oscillator 100 (CLOSE ((63 Sum(Cum(1) C,63) - Sum(Cum(1),63) Sum(C,63)) (63 Sum(Pwr(Cum(1),2),63) - Pwr(Sum(Cum(1),63),2)) Cum(1) (Mov(C,63,S) - Mov(Cum(1),63,S) (63 Sum(Cum(1) C,63) - Sum(Cum(1),63) Sum(C,63)) (63 Sum(Pwr(Cum(1),2),63) - Pwr(Sum(Cum(1),63),2))))-1) SlopeClose 10000 ((63 Sum(Cum(1) C,63) - Sum(Cum(1),63) Sum(C,63)) (63 Sum(Pwr(Cum(1),2),63) - Pwr(Sum(Cum(1),63),2)))CLOSE MetaStock Indicator - Relative Strength Index (RSI) Custom This custom RSI will allow you to select which price data to use when you plot it. Der Standard-RSI verwendet den nahen Wert, wie Welles Wilder tat, als er das Kennzeichen erzeugte. Dieses benutzerdefinierte Kennzeichen erlaubt Ihnen, die anderen Preisfelder einschließlich Volumen zu verwenden. B:Input(quotField: 1Close, 2Open, 3High, 4Low, 5Volumequot,1,5,1) MetaStock Indicator - Relative Volatility Index (RVI) The following formulas were taken from the article quotThe relative volatility index, quot written by Dorsey, Donald, in the June 93 issue of Technical Analysis of STOCKS amp COMMODITIES. Ausgehend von Stocks amp Commodities, V. 11: 6 (253-256): Der relative Volatilitätsindex von Donald Dorsey quotDas RVI ist einfach der relative Stärkeindex (RSI) mit der Standardabweichung der letzten 10 Tage anstelle des Tagespreises Veränderung. Da die meisten Indikatoren Preisänderungen für ihre Berechnungen verwenden, benötigen wir einen Bestätigungsindikator, der eine andere Messung verwendet, um die Marktstärke zu interpretieren. Das RVI misst die Richtung der Volatilität auf einer Skala von null bis 100. Messwerte über 50 zeigen, dass die Volatilität, gemessen durch die 10-Tage-Standardabweichung der Schlusskurse, mehr auf der Oberseite liegt. Messwerte unter 50 zeigen, dass die Richtung der Volatilität nach unten ist. Die anfänglichen Tests zeigen, dass das RVI verwendet werden kann, wo immer Sie das RSI und in der gleichen Weise verwenden könnten, aber der spezifische Zweck dieser Studie ist, die RVI Leistung als bestätigender indicator. quot zu messen. Das RVI wurde entworfen, um die Richtung von zu messen Volatilität. Es berechnet die Preisfestigkeit durch Messung der Volatilität anstatt der Preisänderung. All of the following formulas are required: For interpretation refer to the article quot Standard Error Bands quot, in the September 96 issue of TASC, written by Jon Anderson. 21 period Upper Band (smoothed): Mov((21 Sum(Cum(1) C,21) - Sum(Cum(1),21) Sum(C,21)) (21 Sum(Pwr(Cum(1),2),21) - Pwr(Sum(Cum(1),21),2)) Cum(1) (Mov(C,21,S) - Mov(Cum(1),21,S) (21 Sum(Cum(1) C,21) - Sum(Cum(1),21) Sum(C,21)) (21 Sum(Pwr(Cum(1),2),21) - Pwr(Sum(Cum(1),21),2))) 2(Sqrt(((Sum(Power(C,2),21)-(Power(Sum(C,21),2)21)) -((Sum(Cum(1)C,21))-((Sum(Cum(1),21)Sum(C,21)21))) ((Sum(Power(Cum(1),2),21))-(Power(Sum(Cum(1),21),2)21)) ((Sum(Cum(1)C,21))-((Sum(Cum(1),21)Sum(C,21)21)))) 19)),3,S) 21 period Lower Band (smoothed): Mov((21 Sum(Cum(1) C,21) - Sum(Cum(1),21) Sum(C,21)) (21 Sum(Pwr(Cum(1),2),21) - Pwr(Sum(Cum(1),21),2)) Cum(1) (Mov(C,21,S) - Mov(Cum(1),21,S) (21 Sum(Cum(1) C,21) - Sum(Cum(1),21) Sum(C,21)) (21 Sum(Pwr(Cum(1),2),21) - Pwr(Sum(Cum(1),21),2))) - 2(Sqrt(((Sum(Power(C,2),21)-(Power(Sum(C,21),2)21)) -((Sum(Cum(1)C,21))- ((Sum(Cum(1),21) Sum(C,21)21))) ((Sum(Power(Cum (1),2),21))-(Power(Sum(Cum(1),21),2)21))((Sum(Cum(1)C,21))- ((Sum(Cum(1),21)Sum(C,21)21)))) 19)),3,S) MetaStock Indicator - Support and Resistance Think of security prices as the result of a head-to-head battle between a bull (the buyer) and a bear (the seller). Die Bullen drücken Preise höher und die Bären drücken Preise niedriger. The direction prices actually move reveals who is winning the battle. Unterstützungsniveaus geben den Preis an, an dem die Mehrheit der Anleger glauben, dass sich die Preise weiter verschieben werden, und der Widerstandswert zeigt den Preis an, zu dem die Mehrheit der Anleger das Gefühl hat, dass sich die Preise niedriger bewegen werden. To create the Support and Resistance indicator in MetaStock use the following custom formula: LookBack : Input(quotLook Back Periodsquot,1,1000,10) Resistance :ValueWhen(1,Cross(Mov(C, LookBack, S),C),HHV(H, LookBack)) Support :ValueWhen(1,Cross(C, Mov(C, LookBack, S)),LLV(L, LookBack)) Resistance Support To use this formula most effectively, use the parameters dialogue to change the style to a dotted line while increasing the line weighting. MetaStock Indicator - The New Advance Decline Line The formulas and steps necessary to do the New Advance - Decline Line from the September 1994 Technical Analysis of Stocks amp Commodities . page 14 by Daniel Downing are: Taken from Stocks amp Commodities, V. 12:9 (363-365): A New Advance-Decline Line by Daniel E. Downing quotHeres a trading tool that uses a unique version of the daily advance-decline line of the New York Stock Exchange (NYSE). This version helps in our short - and long-term trading of index options and stock index futures. It gives many good short-term trading signals and excellent but infrequent longer-term signals The philosophy behind this tool is that the short-term traders capital is finite and that traders have to reliquify their holdings after a period. Traders can buy and try to push the equities higher only so many times before they need to reliquify, just as only a finite amount of selling waves can take place before the sellers are out of supplies. A tool that points to when short-term traders need to reliquify their positions will also spot when the markets will soon reverse their trends. quot For the Windows versions of MetaStock: Load the advances Load the declines Drag the plot of the advances into the chart of the declines Plot the following custom formula directly on the plot of advances. Cum( If( P, gt ,1000,If(C, lt ,1000. 1 ,0 ),If( C, gt ,1000 ,-1 ,0 ) ) ) MetaStock Indicator - Tick Line Momentum Oscillator In his article quotUsing The Tick In A Short-Term Indicatorquot . in the January 94 issue of TASC . Daniel E. Downing presents the Tick Line Momentum Oscillator. Taken from Stocks amp Commodities, V. 12:1 (42-44): Using The Tick In A Short-Term Indicator by Daniel E. Downing quotThe tick index, the net difference of the numbers of stocks last traded on an uptick from those last traded on a downtick. is a well-known indicator, but its got a problem. The raw number result is volatile, perhaps too volatile for some. What to do here, then, is a way to smooth out the noise to identify short-term trading opportunities. The tick is a basic unit for the markets, watched with fascination during periods of turmoil and periods of enthusiasm. It is quoted throughout the day on most quote services. In addition, the closing tick value can be found on the market statistics pages of financial newspapers such as Barrons and The Wall Street Journal. Let me present, then, the tick line momentum oscillator, which is based on the closing value for the New York Stock Exchange (NYSE) tick indicator. The oscillator has been shown to have a good track record of determining when the NYSE is overbought or oversold on a short-term basis. The formula for the tick line momentum oscillator is simple and can be easily calculated without a computer, although a spreadsheet version can be found in the sidebar, quotTick line momentum. quot Finally, the oscillator is straightforward and simple to apply. quot The MetaStock formula for the Tick Line Momentum Oscillator is: Mov( ROC( Cum( If( C, gt, Ref( Mov(C ,10,E ) ,-1 ) ,1,If( C, lt, Ref( Mov( C ,10,E ) ,-1 ) ,- 1 ,0 ) ) ) ,5 , ) ,5,E ) For interpretation refer to Mr. Downings article. MetaStock Index - Trading Channel Index The Trading Channel Index comes from an early version of AIQs Stock Expert program. quotThe Trading Channel Index measures the location of average daily price relative to a smoothed average of average daily price. It is derived from the average difference between these two values. quot To create the Trading Channel Index in MetaStock create the following custom formulas: AP: Average price ( H L C ) 3 ESA: Smoothed price average Mov( Fml( quotAPquot ) ,10,E ) ( Mov( Ref( Fml( quotAPquot ) ,-1 ) ,10,E ) ) D: Price range estimate Mov( ( Fml( quotAPquot ) - Fml( quotESAquot ) ) ,10,E ) ( Mov( Ref( Fml( quotAPquot ) - Fml( quotESAquot ) ,-1 ) ,10,E ) ) CI: Channel index ( ( Fml( quotAPquot ) - Fml( quotESAquot ) ) ( 0.015 Fml( quotDquot ) ) ) TRADING CHANEL INDEX: Mov( Fml( quotCIquot ) ,21,E ) ( Mov( Ref( Fml( quotCIquot ) ,-1 ) ,21,E ) ) MetaStock Indicator - Trending Banding Mov(C,2,S)gt Mov(Mov(C,2,S),2,S) AND Mov(Mov(C,2,S),2,S)gt Mov(Mov(Mov(C,2,S),2,S),2,S) AND Mov(Mov(Mov(C,2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)ANDMov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S) MetaStock Indicator - Trendline Formula MetaStock Formula - Freeburg Precious Metal Switch Fund System To create the Freeburg Precious Metal Switch Fund system in MetaStock for Windows, you must first create the K ratio as a composite security. To do this, launch The Downloader from MetaStock, and choose New and then Composite from The Downloaders File menu. Make sure the directory specified is the directory where your weekly GMI and Handy and Harman data are located. Name the composite the K ratio, then choose the Barrons Gold Mining Index as the Primary symbol and Handy and Harman prices as the secondary symbol. Next, choose Divide as the Operator and the click the OK button to add the composite. Open the K ratio chart in MetaStock, Plot the Bollinger Bands Indicator and enter 46 for the number of periods and 2.3 for the standard deviations. Plot Bollinger Bands again and enter 4 for the periods and 1.6 for the Standard Deviations. Your chart should look like the one in Figure. You can also create this system in MetaStock for Dos with the same steps. The data necessary for this chartindicator, is extremely difficult to obtain. The only source we are aware of on diskette is the author of the article. The data is in a Lotus spreadsheet. It must be output to ASCII and then converted to MetaStock data files. He will make a small charge for this data. To keep the GMI data updated, it is only available from Barrons magazine and must be manually input. The Handy amp Harman data must also be manually updated. This may be obtained from the Wall Street Journal as well. MetaStock Formula - Rainbow Charts To create Rainbow Charts in MetaStock for Windows, open any chart, drop the moving average indicator from the Indicator QuickList, and drop it in the same inner windows as the price bars. Geben Sie zwei für die Perioden ein und für die Methode einfach. Als nächstes wird ein zweiter gleitender Durchschnitt auf den ersten gleitenden Durchschnitt gezogen, indem ein gleitender Durchschnitt aus der QuickList gezogen und auf den ersten gleitenden Durchschnitt gelegt wird. (Hinweis: Der erste gleitende Durchschnitt sollte vor dem Loslassen der Maustaste heller werden.) Wenn Sie es korrekt gelöscht haben, sollte das Dialogfeld Parameter den Indikator für das Feld Preis anzeigen. Klicken Sie auf OK, um zwei Perioden zu akzeptieren und einfach wie die Parameter. Change the color of this moving average as desired. Nun wird ein dritter gleitender Durchschnitt des zweiten gleitenden Durchschnitts durch Wiederholen dieser Schritte aufgetragen. Fahren Sie fort, bis Sie zehn gleitende Durchschnitte haben. Wählen Sie Ja, wenn MetaStock Sie auffordert, ein Duplikat anzuzeigen. Klicken Sie im Menü Extras auf Indicator Builder und geben Sie die folgenden Formeln ein. Max(Mov(C,2,S), Max(Mov(Mov(C,2,S),2,S), Max(Mov(Mov(Mov(C,2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S), Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)))))))))) Min(Mov(C,2,S), Min(Mov(Mov(C,2,S),2,S), Min(Mov(Mov(Mov(C,2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S), Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)))))))))) 100 (CLOSE - ((Mov(C,2,S) Mov(Mov(C,2,S),2,S) Mov(Mov(Mov(C,2,S),2,S),2,S) Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)) 10))(HHV(C,10)-LLV(C,10)) -100 (Fml(quotRainbow Maxquot) - Fml(quotRainbow Minquot)) (HHV(C,10) - LLV(C,10)) 100 (Fml(quotRainbow Maxquot) - Fml(quotRainbow Minquot)) (HHV(C,10) - LLV(C,10)) Plot the Rainbow Oscillator in a new inner window of your chart with the ten moving averages, by dropping the custom indicator from the QuickList onto the charts heading. Klicken Sie mit der rechten Maustaste auf den Rainbow Oscillator und wählen Sie Eigenschaften, dann ändern Sie den Style in ein Histogramm. Now plot the Lower Rainbow Band and the Upper Rainbow Band in the same inner window as the Rainbow Oscillator. Wenn das Skalierungsdialogfeld beim Plotten dieser Indikatoren erscheint, wählen Sie Merge with Scale on Right. Ändern Sie die Farben der oberen und unteren Rainbow Bands wie gewünscht. Now save this as a new template by choosing Save As from the File Menu and changing the File Type to template, so you can easily apply it to any chart. MetaStock Formula - Fibonacci Ratios and Momentum In MetaStock for Windows, you can establish Fibonacci Retracement levels as outlined in the November 1997 TASC article quotUsing Fibonacci Ratios and Momentumquot by Thom Hartle by first creating an Expert in the Expert Advisor. To do this, choose Expert Advisor from the Tools menu and then choose New. Enter the following Expert Highlights and Expert Symbols into your Expert. Fibonacci Ratios and Momentum Condition: RSI(14) gt 50 Label: Isolated High Note: If the Symbol labels make the chart too busy you may want to shorten the label (e. g. change Isolated High to IH). Next, close the Expert Advisor, open any chart, and then click the right-mouse button on the charts heading. Choose Expert Advisor and then Attach from the Chart Shortcut Menu. You can now choose Fibonacci Retracement from the Insert menu, and then drag from one isolated extreme to another. In MetaStock 6.5 you should right-click on the Fibonacci Retracement lines and choose properties. Check the Snap to Price checkbox so the Retracement lines will automatically snap to the high and low prices. If you followed these steps correctly, your chart should look like the chart below MetaStock Formula - Volatility Indicator You can easily create the Volatility Indicator from William Browers article in MetaStock for Windows. First choose Indicator Builder from the Tools menu in MetaStock. Next choose New and enter one of the following formulas: Formula for MetaStock Lookback : Input(quotTime Periodsquot,1,1000,50) HighVolatility : Input(quotHigh Volatility quot,.01,100,3) 100 Sum(100 ATR(1)CLOSE gt HighVolatility, Lookback)Lookback Formula for earlier versions of MetaStock for Windows 100 Sum(100 ATR(1)CLOSE gt 3, 50)50 Now drag the Volatility from the Indicator QuickList and drop it on the desired chart. Allan McNichol Equis International MetaStock Formula - Breaking out of Price Channels Breaking out of Price Channels, by Gerald Marisch, quotTechnical Analysis of Stocks amp Commoditiesquot, January 1998, page 93. quotHeres a technique based upon Tushar Chandes variable-length moving average. The indicator is more responsive to market price movements than a conventional simple or exponential moving average, and can be used for position trading. quot The following formula will match the authors slight modification to the variable moving average: VIDYA 21,5 Indicator MetaStock Formula - Smoothing Techniques for More Accurate Signals The following MetaStock formulas are from the 1998 January TASC article quot Smoothing Techniques for more Accurate Signalsquot . by Tim Tillson. Siehe seinen Artikel für die Auslegung. "Mehr anspruchsvolle Glättung Techniken können verwendet werden, um Markttrends zu bestimmen. Better trend recognition can be lead to more accurate trading signals. quot Periods:Input(quotPeriodsquot,2,63,11) Size:LastValue(Cum(1)) Start:LastValue(Ref(Mov(P, Periods, S),Periods-Size)) Cum(LinRegSlope(P, Periods))Start Periods:Input(quotPeriodsquot,1,63,5) a:Input(quotHotquot,0,2,.7) e1:Mov(P, Periods, E) e2:Mov(e1,Periods, E) e3:Mov(e2,Periods, E) e4:Mov(e3,Periods, E) e5:Mov(e4,Periods, E) e6:Mov(e5,Periods, E) c1:-aaa c2:3aa3aaa c3:-6aa-3a-3aaa c4:13aaaa3aa c1e6c2e5c3e4c4e3 MetaStock Formula - Anchored Momentum The four indicators in Rudy Stefenels article quotAnchored Momentumquot can be easily created in MetaStock. First, choose Indicator Builder from the Tools menu. If you have MetaStock 6.5 enter the following formulas: General Anchored Momentum w Exponential Smoothing MomPer : Input(quotMomentum Periodsquot,1,1000,10) SmaPer : Input(quotSimple Moving Average Periodsquot,1,1000,7) EmaPer : Input(quotExponential Moving Average Periodsquot,1,1000,7) 100 ((Mov(CLOSE, EMAPer, E) Ref(Mov(CLOSE, SmaPer, S), ((SmaPer - 1)2) MetaStock Formula - Double Tops and Double Bottoms In the February 1998 issue of Technical Analysis of Stocks amp Commodities magazine, Thomas Bulkowski discusses the use of Double Bottoms as a means of finding profitable trades. In MetaStock for Windows, you can find both Double Tops and Double Bottoms with these formulas. There is a caveat however. In the article, Mr. Bulkowski utilizes the High-Low range in finding Double Bottoms. These formulas use only the close value, so a few of the lower priced issues will not produce signals in MetaStock. Overall, however, these formulas produce most of the major signals he discusses. PK:Zig(C,10,)ltRef(Zig(C,10,),-1) AND Ref(Zig(C,10,),-1)gtRef(Zig(C,10,),-2) TR:Zig(C,10,)gtRef(Zig(C,10,),-1) AND Ref(Zig(C,10,),-1)ltRef(Zig(C,10,),-2) (ValueWhen(1,PK, Ref(C,-1))ValueWhen(2,PK, Ref(C,-1))gt.96 AND ValueWhen(1,PK, Ref(C,-1)) ValueWhen(2,PK, Ref(C,-1))lt1.04) AND PK2-PK1gt10 AND Cross(ValueWhen(1,TR, Ref(C,-1)),C) PK:Zig(C,10,)ltRef(Zig(C,10,),-1) AND Ref(Zig(C,10,),-1)gtRef(Zig(C,10,),-2) TR:Zig(C,10,)gtRef(Zig(C,10,),-1) AND Ref(Zig(C,10,),-1)ltRef(Zig(C,10,),-2) (ValueWhen(1,TR, Ref(C,-1))ValueWhen(2,TR, Ref(C,-1))gt.96 AND ValueWhen(1,TR, Ref(C,-1)) ValueWhen(2,TR, Ref(C,-1))lt1.04) AND TR2-TR1gt10 AND Cross(C, ValueWhen(1,PK, Ref(C,-1))) MetaStock Formula - Adaptive Moving Average In MetaStock 6.5 you can easily create the Perry Kaufman Adaptive Moving Average system. With MetaStock 6.5 running, choose Indicator Builder from the Tools menu and then click on the New button. Enter the following formulas. Adaptive Moving Average Binary Wave Periods : Input(quotTime Periodsquot,1,1000, 10) Direction : CLOSE - Ref(Close,-periods) SSC : ER (FastSC - SlowSC) SlowSC AMA : If(Cum(1) periods 1, ref(Close,-1) constant (CLOSE - ref(Close,-1)),Prev constant (CLOSE - PREV)) FilterPercent : Input(quotFilter Percentagequot, 0,100,15)100 Filter : FilterPercent Std(AMA - Ref(AMA,-1),Periods) AMALow : If(AMA lt Ref(AMA,-1),AMA, PREV) AMAHigh : If(AMA gt Ref(AMA,-1),AMA, PREV) If(AMA - AMALow gt Filter, 1 , If(AMAHigh - AMA gt Filter, -1 , 0 )) AMA : If(Cum(1) periods 1, ref(Close,-1) constant (CLOSE - ref(Close,-1)),Prev constant (CLOSE - PREV)) If you want to see the Adaptive Moving Average, just plot it on any chart. If you want to see the buy and sell signals of the Adaptive Moving Average system plot the Adaptive Moving Average Binary wave. This binary wave plots a 1 when there is a buy signal, a 1 when there is a sell signal and a zero when there is no signal. MetaStock Formula - Automatic Support and Resistance Copied from Technical Analysis of Stocks and Commodities Magazine. This is in regards to an article on page 51 of the May 1998 issue. In my article quotAutomatic support and resistancequot in this issue, I present a computerized approach to finding support and resistance levels on a chart. To recreate the indicators and system described in my article using MetaStock for Windows, enter the following formulas: S1: IF(Ref(LOW,-4)LLV(LOW,9),Ref(LOW,-4),PREVIOUS) S2: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS1quot),-1)) S3: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS2quot),-1)) S4: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS3quot),-1)) S5: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS4quot),-1)) S6: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS5quot),-1)) WSO: 100(1(Int(Fml(quotS1quot)CLOSE)Int(Fml(quotS2quot)CLOSE)Int(Fml(quotS3quot)CLOSE)Int(Fml(quotS4quot)CLOSE) Int(Fml(quotS5quot)CLOSE)Int(Fml(quotS6quot)CLOSE))6) R1: IF(Ref(HIGH,-4)HHV(HIGH,9),Ref(HIGH,-4),PREVIOUS) R2: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR1quot),-1)) R3: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR2quot),-1)) R4: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR3quot),-1)) R5: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR4quot),-1)) R6: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR5quot),-1)) WRO: 100(1(Int(Fml(quotR1quot)CLOSE)Int(Fml(quotR2quot)CLOSE) Int(Fml(quotR3quot)CLOSE)Int(Fml(quotR4quot)CLOSE) Int(Fml(quotR5quot)CLOSE)Int(Fml(quotR6quot)CLOSE))6) The indicators S1 through S6 and R1 through R6 should be plotted as points and not as a continuous line. Trading System Formulas and Parameters: Enter long positions on either building support or sustained uptrend and exit position using stops. No short positions. Enter Long: Fml(quotWSOquot) gt Mov( Fml(quotWSOquot). 4. S ) OR Mov( Fml(quotWROquot). 30. S ) gt 95 Breakeven stop: Floor level at 2 Trailing stop: Profit risk of 10 Percent, ignoring 10 periods Maximum loss stop: Maximum loss of 7 Initial equity 1000, Long positions only, Trade price close, Trade delay 0, Entry commission 0, Exit commission 0. Interest rate 5, Margin req. 100 MetaStock Formula - Muted Variables, Volatility, and a New Market Paradigm Mutated Variables, Volatility and a New Market Paradigm by Walter T. Downs, Ph. D. In MetaStock for Windows 6.0 or higher, use the Expert Advisor to create highlights, which will show when contraction and expansion phases are present. First, choose Expert Advisor from the tools menu in MetaStock. Create a new Expert with the following highlights: Expert name: New Market Paradigm Highlights Name: Contraction Condition: BBandTop(CLOSE,28,SIMPLE,2)lt Ref(BBandTop(CLOSE,28,SIMPLE,2),-1) AND BBandBot(CLOSE,28,SIMPLE,2)gtRef(BBandBot(CLOSE,28,SIMPLE,2),-1) Color: Blue Name: Expansion Condition: BBandTop(CLOSE,28,SIMPLE,2)gt Ref(BBandTop(CLOSE,28,SIMPLE,2),-1) AND BBandBot(CLOSE,28,SIMPLE,2)ltRef(BBandBot(CLOSE,28,SIMPLE,2),-1) Color: Red Click OK to save the changes to the Expert. Open a chart and then click your right-mouse button while pointing at the chart heading. Choose Expert Advisor and then choose Attach from the chart shortcut menu. Choose the New Market Paradigm Expert and then click the OK button. The price bars in the chart will be highlighted blue during a contraction phase and red in an expansion phase. MetaStock Formula - Channel Analysis Channel Analysis, beginning on page 18 of the July 1998 Technical Analysis of Stocks amp Commodities Magazine Its quite easy to create the Trend Channels discussed in Thom Hartles Channel Analysis article in MetaStock for Windows. After opening a chart, you may want to zoom in a little to make it easier to draw the Trend Channels more precisely. You can do this by clicking on the quotquot button located on the Chart Toolbar at the bottom of the chart. Next you may want to identify the bars for the support or resistant points by drawing circles on the bars as Mr. Hartle did in the article, or you can use symbols from the symbol palette. Both can be chosen from the Drawing Toolbar which is on left side of the chart. After identifying the points to draw the trendline, click on the Trendline button, also located on the Drawing Toolbar, and draw the trendline between the closing prices of the two bars. If you are using MetaStock 6.5, you may want to right-click on the trendline, choose properties, and then check the Snap to Price checkbox. This will make the trendline line up exactly with the closing prices. To create the second trendline of the Trend Channel, right-click on the first trendline and choose Create Parallel Line. Drag this parallel line so it aligns with the highest high between the two support points or the lowest low between two resistance points. If desired, you can go to the properties of each of these trendlines and choose to extend the lines to the right. MetaStock Formula - A Volatility Trade in Gold quotA Volatility Trade In Goldquot by David S. Landry, CTA, Technical Analysis of Stocks amp Commodities, page 87. In this article the author gives formulas for three indicators MetaStock. The formulas as given will work in all versions of MetaStock. However, there is an error in the formula the author names Volatility 12 EMA. The formula should be: Mov((Fml(quotCONHV4quot) Fml(quotCONHV6quot) Fml(quotCONHV10quot))3,12,e) Here are formulas for version 6.5 of MetaStock for Windows. These formulas use Inputs which allow you to select the time periods when you plot the formulas. David Landry Historical Volatility Num:Input(quotNumber Of Periods For Numeratorquot,1,100,4) Den:Input(quotNumber Of Periods For Denominatorquot,2,1000,100) (Log(CRef(C,-1)),Num)Std(Log(CRef(C,-1)),Den) David Landry Average Historical Volatility Den:Input(quotNumber Of Periods For Denominatorquot,2,1000,100) ((Std(Log(CRef(C,-1)),4)Std(Log(CRef(C,-1)),Den))(Std(Log(CRef(C,-1)),6)Std(Log(CRef(C,-1)),Den))(Std(Log(CRef(C,-1)),10)Std(Log(CRef(C,-1)),Den)))3 David Landry EMA of Historical Volatility Den:Input(quotNumber Of Periods For Denominatorquot,2,1000,100) EMA:Input(quotNumber Of Periods For EMAquot,2,100,12) Mov(((Std(Log(CRef(C,-1)),4)Std(Log(CRef(C,-1)),Den))(Std(Log(CRef(C,-1)),6)Std(Log(CRef(C,-1)),Den))(Std(Log(CRef(C,-1)),10)Std(Log(CRef(C,-1)),Den)))3,LastValue(EMA),E) Note: Standard deviation information was not included here because the way these formulas are being used, any standard deviation being used would return an identical value as 1 standard deviation. MetaStock Formula - From Terms to Technical Tools In Walter Downs article quotFrom Terms To Technical Toolsquot he introduces the Point of Balance Oscillator, two conditions to color bars and two system tests. All of these can be created quite easily in MetaStock 6.5. To create the Point of Balance Oscillator, choose Indicator Builder from the Tools menu, click on the New button, and enter the following formula: Point of Balance Oscillator n : Input(quotTime Periodsquot,1,100,12)2 POBC1 : (HHV(CLOSE, n) LLV(CLOSE, n))2 POBC2 : (HHV(POBC1, n) LLV(POBC1,n))2 POBC3 : (HHV(POBC2, n) LLV(POBC2,n))2 POBC4 : (HHV(POBC3, n) LLV(POBC3,n))2 POBC5 : (HHV(POBC4, n) LLV(POBC4,n))2 POBC6 : (HHV(POBC5, n) LLV(POBC5,n))2 POBC7 : (HHV(POBC6, n) LLV(POBC6,n))2 POBC8 : (HHV(POBC7, n) LLV(POBC7,n))2 POBC9 : (HHV(POBC8, n) LLV(POBC8,n))2 POBC10 : (HHV(POBC9, n) LLV(POBC9,n))2 AV : (POBC1 POBC2 POBC3 POBC4 POBC5 POBC6 POBC7 POBC8 POBC9 POBC10) 10 POBCOsc : 100 ((CLOSE - AV) (HHV(CLOSE, 10)-LLV(CLOSE, 10))) To highlight bars based on the Bull Fear and Bear Fear conditions discussed in the article, choose Expert Advisor from the Tools menu, click on the New button and enter the following expert: Bull Fear and Bear Fear Expert HIGHLIGHTS Name: Bull Fear Condition: n : 12 BullFear : (HHV(HIGH, n) - LLV(HIGH, n))2 LLV(HIGH, n) CLOSE gt BullFear Color: Blue Name: Bear Fear Condition: n : 12 BearFear : (HHV(LOW, n) - LLV(LOW, n))2 LLV(LOW, n) CLOSE lt BearFear Color: Red To test the two systems discussed in the article, choose System Tester from the Tools menu and enter both of the following systems: Bull and Bear Fear System Test MetaStock Formula - Simple Moving Average with Resistance and Support In this issue, Dennis L. Tilley uses support and resistance to confirm price and SMA crossover signals in his article quotSimple Moving Average with Resistance and Supportquot. In MetaStock für Windows, können Sie ganz einfach die SMARS Indikatoren, die in Tilleys Artikel. First, choose Indicator Builder from the Tools menu in MetaStock 6.5. Next, choose New and enter the following formulas: Resistance and Support LookBack : Input(quotLook Back Periodsquot,1,1000,10) Resistance :ValueWhen(1,Cross(Mov(C, LookBack, S),C),HHV(H, LookBack)) Support :ValueWhen(1,Cross(C, Mov(C, LookBack, S)),LLV(L, LookBack)) Resistance and Support F LookBack: Input(quotLook Back Periodsquot,1,1000,10) Note It is much easier to see the difference between the actual quotResistance and Supportquot lines and the quot Resistance and Support F quot lines if you change the color andor style of one of them. Anzeigen der Indikatoren in MetaStock 6.5 Ziehen Sie das Kennzeichen "Indikator QuickList" in das Preisfenster. Wählen Sie Simple als Methode, geben Sie die Zeiträume ein und klicken Sie dann auf OK. Now, drag the quotResistance and Supportquot indicator from the QuickList into the price window. You will be prompted to enter the quotLook Backquot periods. You should select the same time periods you used with the quotMoving Averagequot. Finally, drag the quotResistance and Support Fquot indicator into the price window. You will be prompted to enter the quotPercentagequot and the quotLook Backquot periods. Wenn es sich bei dem Indikator um eine 10-fache Differenz von der Zeile "Widerstands" und "Supportquot" handelt, geben Sie den Wert 10 ein. Sie sollten die gleichen Zeiträume auswählen, die Sie mit dem "MOVing Averagequot" verwendet haben. Allan McNichol Equis International MetaStock Formulas - Combining Statistical and Pattern Analysis Shark 32 In MetaStock for Windows you can use the Expert Advisor to recreate the quotShark 32quot signals on your charts as discussed in Walter T. Downs article quotCombining Statistical and Pattern Analysisquot. First, choose Expert Advisor from the Tools menu in MetaStock 6.5. Next, choose New and enter the following formulas: Click the Name tab and enter quotShark 32quot in the Name field. Click the Trends tab and enter the following formulas in the Bullish and Bearish fields. Click the Highlights tab, choose New, and enter quot3 rd Barquot in the Name field. Now change the color in the Color field to Blue. Finally, enter the following formula in the Condition field, and then choose OK. Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(Apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Using the same method as above, enter the following 2 highlight formulas. Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(Apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(Apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Click the Symbols tab, choose New and enter quotShark Buyquot in the Name field. Geben Sie nun im Feld Bedingung die folgende Formel ein. Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Buy: Buyok1 AND Ref(Chk,-1)0 AND ValidChk1 Click the Graphic tab. Change the symbol in the Graphic field to Buy Arrow. Ändern Sie nun die Farbe im Feld Farbe auf Grün. Finally, type quotBuyquot in the Label field, and then choose OK. Using the Same method as above, enter the following Symbol formula. Name: Shark Sell Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Note The above ValidChk variable makes the Shark signal valid for 25 periods. If the price does not cross below the Low value of the base within 25 periods, you will not receive a signal. You can change the number of periods by changing 25 to the number of periods you desire. Sell: Sellok1 AND Ref(Chk,-1)0 AND ValidChk1 Symbol: Sell Arrow After you have finished creating the Symbol formulas, you can attach the Expert to your chart by choosing Expert Advisor from the Tools Menu. Select the Expert called quotShark 32quot from your list of Experts, choose Attach, and then Close. MetaStock Formula - Better Bollinger Bands In an article in Futures Magazine, October 1998, Dennis McNicholl describes the use of Bollinger Bands and provides a means of making them tighter when markets are trending. He calls them Better Bollinger Bands. Here is the formula for MetaStock 6.5 or higher. pds:Input(quotPeriodsquot,2,200,20) sd:Input(quotStandard Deviationsquot,.01,10,2) alpha:2(pds1) mt:alphaC(1-alpha)(If(Cum(1)ltpds, C,PREV)) ut:alphamt(1-alpha)(If(Cum(1)ltpds, C,PREV)) dt:((2-alpha)mt-ut)(1-alpha) mt2:alphaAbs(C-dt)(1-alpha)PREV ut2:alphamt2(1-alpha)PREV dt2:((2-alpha)mt2-ut2)(1-alpha) but:dtsddt2 blt:dt-sddt2 dt but blt MetaStock Formula - Dynamic Multiple Time Frames Here are the formulas described in the 1999 bonus issue of quotTechnical Analysis of Stocks amp Commoditiesquot magazine in the article quotDynamic Multiple Time Framesquot, p 45. All formulas are written to use daily data. The lines are plotted as described in the article, with the fixed lines only changing their values on the first day of each week. A sixth formula, Tendency, was added to indicate which way the price will tend to move, based on the relationship between the Friday close and the fixed balance point. This formula plots a value on Thursday and on Friday just in case Friday is a market holiday. On every trading week which includes Friday data, ignore the Thursday value. A value of 1 means prices will tend up first and a value of -1 means they will tend down Variables were used in places to simplify the formulas and to allow the referencing of certain values in formulas that plot multiple lines. Dynamic Balance Point Ref( HHV(H,5)LLV(L,5)C, -1)3 MetaStock Formula - quotHow Smooth is Your Data Smootherquot (Sine-Wave Weighted Moving Average) The article quotHow Smooth is Your Data Smootherquot, by Patrick E. Lafferty, reviews different types of moving averages, including a Sine-Weighted Moving Average. The Sine-Weighted Moving Average can easily be created in MetaStock 6.5 or higher. In MetaStock select the quotIndicator Builderquot from the quotToolsquot menu. In the Indicator Builder click quotNewquot and enter the name (shown below in Bold font) in the Name field. Then place the formula (all the text after quotFORMULA:quot and before quotEND OF FORMULAquot) in the Formula field in the Indicator Builder: NAME: Sine-Weighted Moving Average PI:3.1415926 SD:1806 S1:Sin(11806)C S2:Sin(21806)Ref(C,-1) S3:Sin(31806)Ref(C,-2) S4:Sin(41806)Ref(C,-3) S5:Sin(51806)Ref(C,-4) Num:S1S2S3S4S5 Den:Sin(SD)Sin(2SD)Sin(3SD)Sin(4SD)Sin(5SD) Next, click OK and Close out of the Indicator Builder. Open a chart and plot the new formula by dragging it from the Indicator QuickList or by using quotIndicatorsquot from the quotInsertquot menu. Formula by Cheryl Elton, Equis International Many securities, particularly futures, show a tendency to move in cyclical patterns. Price changes can often be anticipated at key cyclical intervals. Cycles allow us to accurately predict events in nature: bird migrations, the tides, planetary movements, etc. You can also use cycle analysis to predict changes in financial markets, although not always with the accuracy found in nature. We know that prices are a consensus of human expectations. These expectations are always changing, and causing prices to oscillate between overbought and oversold levels. Fluctuations in prices are a natural process of changing expectations and lead to cyclical patterns. An obvious example of a cyclical pattern is shown in a chart of a sine wave. Although security prices rarely move with this degree of predictability, even a quick glance at many security charts is enough to see evidence of some type of cyclical pattern. Cycle Line tools allow you to place equally spaced vertical lines on a chart. Since you can control the spacing between the cycle lines, you may be able to visually extrapolate the cycles evident in a plot. If you extend the right margin of a chart, the cycle lines will extend into the future. This can help you anticipate when the next peak or trough of a cycle may occur. Detrended Price Oscillator The Detrended Price Oscillator (DPO) is an indicator that attempts to eliminate the trend in prices. Detrended prices allow you to more easily identify cycles and overboughtoversold levels. The calculation is quite simple you simply center an x-period moving average by shifting it back x2 1 periods. This centered moving average is then subtracted from the close. The result is an oscillator that crosses above and below zero. Since the DPO is shifted back quotx2 1quot periods, the last quotx2 1quot periods will have no values. MetaStock Pro prompts you to enter the number of periods. The value entered should be the approximate length of the cycle you wish to identify. Cycles longer than the number of periods you enter will not be shown. The default value is 20. Long-term cycles are made up of a series of short-term cycles. Analyzing these shorter term components of the long-term cycles can be helpful in identifying major turning points in the longer term cycle. The DPO is helpful in recognizing the underlying cyclical components of the price action. Leonardo Fibonacci was an important mathematician who was born in Italy around the year 1170. It is rumored that Fibonacci discovered the relationship of what are now referred to as Fibonacci numbers while studying the Great Pyramid of Giza in Egypt. Fibonacci numbers are a sequence of numbers in which each successive number is the sum of the two previous numbers: 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, etc. These numbers possess an intriguing number of interrelationships, such as the fact that any given number is approximately 1.618 times the preceding number and any given number is approximately 0.618 times the following number. MetaStock Pro has four Fibonacci studies: arcs, fans, retracements, and time zones. The general interpretation of the Fibonacci studies involves the anticipation of a change in trend as prices near the lines created by the Fibonacci studies. Arcs The calculation and interpretation of Fibonacci Arcs is similar to that of Fibonacci Fan Lines. First, a trendline is drawn between two extreme points. MetaStock Pro then draws three arcs, centered on the second extreme point, that intersect the trendline drawn between the two extreme points at the Fibonacci levels of 38.2, 50.0, and 61.8. The interpretation of Fibonacci Arcs involves looking for, or anticipating, support and resistance as prices approach the arcs. A common technique is to display both Fibonacci Arcs and Fibonacci Fan Lines and to anticipate supportresistance at the points where the Fibonacci studies cross. The points where the Arcs cross the price data will vary depending on the scaling, because the Arcs are drawn so they always appear circular relative to the computer screen. Fans Fibonacci Fan Lines are displayed by first drawing a trendline between two extreme points. MetaStock Pro then draws an invisible vertical line through the second extreme point. This vertical line is then divided at the Fibonacci levels of 38.2, 50.0, and 61.8. Finally, three trendlines are drawn from the first extreme point so they pass through the invisible vertical line at the above three levels. (This technique is similar to the method used to calculate Speed Resistance Lines.) Retracements Fibonacci Retracements are displayed by first drawing a trendline between two extreme points (i. e. a significant trough and peak). After selecting Fibonacci Retracement from the Insert menu, a series of up to nine horizontal lines will be drawn at the Fibonacci levels of 0.0, 23.6, 38.2, 50.0, 61.8, 100, 161.8, 261.8, and 423.6. After a significant move (either up or down), prices will often rebound and retrace a significant portion (if not all) of the original move. As the price retraces, support and resistance levels will often occur at or near the Fibonacci Retracement levels. Time Zones The Fibonacci Time Zones command displays vertical lines at the Fibonacci intervals of 1, 2, 3, 5, 8, 13, 21, 34, etc. The interpretation of Fibonacci Time Zones involves looking for significant changes in price near the vertical lines. It is beyond the scope of this website to provide a full explanation of Fourier analysis. Further information can be found in Technical Analysis of Stocks amp Commodities magazine (TASC), Volume One issues 2, 4, and 7 Volume Two issue 4 Volume Three issues 2 and 7 (Understanding Cycles) Volume Four issue 6 Volume Five issues 3 (In Search of the Cause of Cycles) and 5 (Cycles and Chart Patterns) and Volume Six issue 11 (Cycles). Fourier Transforms were originally developed as an engineering tool to study repetitious (cyclical) phenomena such as the vibration of a stringed musical instrument or an airplane wing during flight. The complete analysis concept is called spectral analysis. Fast Fourier Transform (FFT) is an abbreviated calculation that computes in seconds rather than minutes. The FFT sacrifices phase relationships and concentrates only on cycle length and amplitude (strength). The benefit of FFT is its ability to extract the predominate cycle(s) from a series of data (e. g. an indicator or a securitys price). FFTs are based on the principal that any finite, time-ordered set of data can be approximated arbitrarily well by decomposing the data into a set of sine waves. Each sine wave has a specific cycle length, amplitude, and phase relationship to the other sine waves. Problems occur when applying FFT analysis to security price data because FFTs were designed to be applied to non-trending, periodic data (whereas security price data tends to be trending). This is overcome by quotdetrendingquot the data using either a linear regression trendline or a moving average. Security data is not truly periodic, since securities are not traded on weekends and some holidays. MetaStock Pro removes these discontinuities by passing the data through a smoothing function called a quothamming window. quot As stated at the beginning of this section, it is beyond the scope of this website to provide complete interpretation of FFT analysis. The remainder of this section explains the interpretation of MetaStock Pro s Interpreted FFT. The Interpreted FFT displays an indicator that shows the three predominate cycle lengths and the relative strength (i. e. the relative amplitudes) of the cycles. The Interpreted FFT indicator is always displayed from the most significant cycle to the least significant cycle. The longer the indicator remains at a specific cycle length, the more predominate it was in the data being analyzed. Once you know the predominate cycle length, you may want to use it as a parameter for other indicators. For moving averages, use 12 of the cycle length for the optimum number of periods. For example, if you know that a security has a 40-day cycle, you may want to plot a 20-day moving average. The MESA Sinewave indicator was developed by recognized cycle specialist John Ehlers. The MESA Sinewave indicator looks like a sinewave when the market is in a cycle mode and tends to wander when the market is in a trend mode. The MESA Sinewave indicator anticipates cycle mode turning points rather than waiting for confirmation as is done with most oscillators. The MESA Sinewave indicator has the additional advantage that trend mode whipsaw signals are minimized. The Sine Wave indicator was introduced in the November 1996 issue of Technical Analysis of Stocks amp Commodities magazine. The MESA Sinewave indicator consists of two plots - one displaying the Sine of the measured phase angle over the time period parameter and the other the Sine of the phase angle advanced by 45 degrees (called the Lead Sine). Together, the crossings of the Sine and Lead Sine plots give clear advanced indication of cycle mode turning points. When the MESA Sinewave indicator resembles an actual sine wave, this suggests the market is in a cycle mode. The indicator lines are not well structured when the market is in a trend mode. A buy signal is given when the Sine plot crosses above the Lead Sine plot. A sell signal is given when the Sine plot crosses below the Lead Sine plot. An obvious advantage that the MESA Sinewave indicator has over its overboughtoversold counterparts is that it enters and exits much more precisely without giving up a piece of the markets movement by waiting for confirmation. When the market is in a trend mode the MESA Sinewave indicator does not resemble a sine wave. In fact, the Sine and Lead Sine plots typically languish in a sideways pattern around zero, running somewhat parallel and distant from each other. The correct trading strategy in the trend mode is to trade the trend. Basic moving average crossovers are helpful for entering and exiting positions in this type of market. The MESA Sinewave indicator is sensitive to using the correct time period parameter. You can use the Cycle Lines line study to estimate the best time period to use. MetaStock Custom Indicators 5 35 5 MACD Absolute Breadth Index AdvanceDecline Line with Negative Volume Adaptive Moving Average, by Perry Kauffman ADXADXR Custom (without rounding) Arms Index (TRIN) Aroon Indicators, by Tushar Chande Average-Modified Method, by Perry Kauffman Bollinger Bands Breadth Thrust Candlecode Candle Strength Index Chande Momentum Oscillator Composite Average Chande Momentum Oscillator Volatility Chandes Momentum Oscillator Chandes Trendscore Changing Ways AccumulationDistribution Comparative Relative Strength in MetaStock for Windows Confidence Coppock Curve Daily Close vs High and Low Close Detrended Price Oscillator Disparity Index Displaying the Price of a Security in 32nds and 64ths Divergence between the Close and an Indicator Dynamic Momentum Oscillator Elliot Oscillator End Point Moving Average End Points of a Linear Regression Line with Standard Deviations Gann High Low Gann-Swing Gann-Trend Gap Identification GRIIF1 Identification Oscillator Hi Low Wave Daily Historical Volatility Daily Historical Volatility Weekly Insync Index Kurtosis Indicator MACD Histogram Market Facilitation Index Market Facilitation Index Expert Advisor Market Pressure - Ultimate Market Thrust Oscillator Martin Prings KST Formulas Mass Index McClellan Oscillator McClellan Summation Index McGinley Dynamic Modified VIX Indicator Money Flow Index Morris Double Momentum Oscillator Moving Average of Only One Day of a the Week Natenbergs Volatility One Day Money Flow Percent AboveBelow Moving Average Persistence of Money Flow Plotting Alpha and Beta Polarized Fractal Efficiency Price Action Indicator (PAIN) Price Oscillator Wave Price Volume Rank Price Volume Trend Stochastic Random Walk Index Rate of Change Since a Specific Date Recursive Moving Trend Average Regression Oscillator and the SlopeClose Indicator Relative Strength Index (RSI) Custom Relative Volatility Index (RVI) R squared, Chande amp Krolls Rule of 7 Oscillator Short Volume Wave Slope of a Line Slope of a Linear Regression Line Standard Error Bands for MetaStock for Windows Special Trix STIX Oscillator Stochastic D Stochastic Relative Strength Index Stochastic Wave Long Stochastic Wave Short Support and Resistance - Yoni The New Advance Decline Line Tick Line Momentum Oscillator Trading Channel Index Trending Bandini Trendline Formula True Strength Index Tushar Chandes Target Price Tushar Chandes Vidya with Volatility Bands Volatility Volatility Difference Volume Accumulation Indicator Volume Oscillator Wave Weekly High Low Wave Weekly Oscillator Segment Weekly Price Oscillator Wilders Volatility TASC Traders Tips Freeburg Precious Metal Switch Fund System Rainbow Charts Using Fibonacci Ratios and Momentum Volatility Indicator Breaking out of Price Channels Smoothing Techniques for more Accurate Signals Anchored Momentum Double Tops and Double Bottoms Adaptive Moving Average Automatic Support and Resistance Mutated Variables, Volatility and a New Market Paradigm Channel Analysis A Volatility Trade in Gold From Terms to Technical Tools Simple Moving Average with Resistance and Support Combining Statistical and Pattern Analysis, Shark 32 Better Bollinger Bands Dynamic Multiple Time Frames Sine-Wave Weighted Moving Average MetaStock - 5 35 5 MACD The 5,35,5 MACD is a variation of the standard 12,26,9 MACD and was made popular by Chris Manning, who uses it to identify major market divergence points: ((Mov( CLOSE, 5, E) - Mov( CLOSE, 35, E))-(Mov((Mov( CLOSE, 5, E) - Mov( CLOSE, 35, E)),5,E))) When first plotted on a chart, the 5,35,5 MACD will appear as a solid line with no horizontal line at the value of zero (as shown in picture below). After applying the 5 35 5 MACD indicator to your chart, use the following steps to create a histogram with vertical line at zero. A) Double click the indicator to open the properties dialogue box. B) Select the ColorStyle tab and using the Style drop-down list, select the histogram setting (second from the bottom). C) Select the Horizontal Lines tab and enter a value of zero (0) for the horizontal line value. Klicken Sie auf Hinzufügen. D) Click OK (indicator will appear as per picture below) MetaStock Formula - Absolute Breadth Index The Absolute Breadth Index (ABI) is a market momentum indicator that was developed by Norman G. Fosback. The ABI shows how much activity, volatility, and change is taking place on the New York Stock Exchange while ignoring the direction prices are headed. You can think of the ABI as an quotactivity indexquot. High readings indicate market activity and change, while low readings indicate lack of change. In Mr. Fosbacks book, Stock Market Logic . he indicates that historically, high values typically lead to higher prices three to twelve months later. The MetaStock formula for the Absolute Breadth Index is: ABS ( Advancing Issues - Declining Issues ) To plot it: Create a composite security of the Advancing Issues - Declining Issues. In Windows versions use The DownLoader to create the composite or in the DOS versions use MetaStocks File Maintenance to create the composite. In MetaStock open the composite and plot the custom formula ABS( C ) on it. MetaStock Formula - Advance Decline Line with Negative Volume There is a way to get the negative volume on an advance-decline line chart in MetaStock for Windows. The requirement is: Each security must have both the number of issues and the volume in the file. Advancing issues with advancing volume in one security and declining issues with declining volume in one security file. These files may be obtained from Reuters Trend Data by way of The DownLoader for Windows. You will also need to create a composite security of the Advance-Decline line, which is the advances - declines. The following steps will get you an advance-decline line with negative volume where applicable. Follow these steps once and save as a CHART. When you want to use it simply load the chart and the program will calculate the new volume plot using the new data. Create a NEW chart of the advancing issues. Create a NEW chart of the declining issues. Create a NEW chart of the advance-decline composite. Create a NEW INNER WINDOW on the declining issues chart. Delete the volume plot on the advance-decline composite chart. Copy the volume from the advancing issues chart and paste it into the new inner window on the declining issues chart. Drop the custom formula, P-V on the advancing volume plot in the declining issues chart, creating a new scale. Copy that plot to the empty inner window (where the volume was) of the advance-decline composite. Save that chart as the adv-decl chart (perhaps advdecl. mwc). This will be the chart you load to do your study of the advance-decline line with negative volume MetaStock Formula - Adaptive Moving Average, by Perry Kaufman This is a Metastock for Windows version 6.5 formula. Periods : Input(quotTime Periodsquot,1,1000, 10) Direction : CLOSE - Ref(Close,-periods) SSC : ER (FastSC - SlowSC) SlowSC AMA : If(Cum(1) periods 1, ref(Close,-1) constant (CLOSE - ref(Close,-1)),Prev constant (CLOSE - PREV)) MetaStock Formula - ADX ADXR Custom (without Rounding) Here are custom ADX and ADXR formulas that will plot the decimals after the calculation. The built-in indicators plot exactly as Welles Wilder plots them in his book, New Concepts in Technical Trading Systems. These custom indicators calculate the same way except they do not round as Wilder does. Periods:Input(quotTime Periodsquot,1,100,14) PlusDM:If(HgtRef(H,-1) AND LgtRef(L,-1), H-Ref(H,-1),If(H gtRef(H,-1) AND LltRef(L,-1) AND H-Ref(H,-1)gt Ref(L,-1)-L, H-Ref(H,-1),0)) PlusDI:100Wilders(PlusDM, Periods)ATR(Periods) MinusDM:If(LltRef(L,-1) AND HltRef(H,-1), Ref(L,-1)-L, If(HgtRef(H,-1) AND LltRef(L,-1) AND H-Ref(H,-1)ltRef(L,-1)-L, Ref(L,-1)-L,0)) MinusDI:100Wilders(MinusDM, Periods)ATR(Periods) DIDif:Abs(PlusDI-MinusDI) DISum:PlusDIMinusDI ADXFinal:100Wilders(DIDifDISum, Periods) ADXFinal Periods:Input(quotTime Periodsquot,1,100,14) PlusDM:If(HgtRef(H,-1) AND LltRef(L,-1), H-Ref(H,-1),If(HgtRef(H,-1) AND LltRef(L,-1) AND H-Ref(H,-1)gtRef(L,-1)-L, H-Ref(H,-1),0)) PlusDI:100Wilders(PlusDM, Periods)ATR(Periods) MinusDM:If(LltRef(L,-1) AND HltRef(H,-1), Ref(L,-1)-L, If(HgtRef(H,-1) AND LltRef(L,-1) AND H-Ref(H,-1)ltRef(L,-1)-L, Ref(L,-1)-L,0)) MinusDI:100Wilders(MinusDM, Periods)ATR(Periods) DIDif:Abs(PlusDI-MinusDI) DISum:PlusDIMinusDI ADXFinal:100Wilders(DIDifDISum, Periods) ADXRCustom: (ADXFinalRef(ADXFinal, LastValue(1-periods)))2 ADXRCustom MetaStock Formula - Arms Index (TRIN) The Arms Index, also known as TRIN, is a market indicator that shows the relationship between the number of stocks that increase or decrease in price (advancingdeclining issues) and the volume associated with stocks that increase or decrease in price (advancingdeclining volume). The Arms Index was developed by Richard W. Arms, Jr. in 1967. The Arms Index is primarily a short term trading tool. The Index shows whether volume is flowing into advancing or declining stocks. If more volume is associated with advancing stocks than declining stocks, the Arms Index will be less than 1.0 if more volume is associated with declining stocks, the Index will be greater than 1.0. The formula for the Arms Index is: (Advancing Issues Declining Issues) (Advancing Volume Declining Volume) To calculate the Arms Index in MetaStock for Windows you will need to first collect the four pieces of data. Reuters Trend Data (RTD) supplies this data in two files. The tickers are X. NYSE-A (Advances, number and volume) and X. NYSE-D (Declines, number and volume). DialData also supplies this data in two files. Advances, number and volume and Declines, number and volume. The tickers are NAZK and NDZK. CompuServe supplies this data in 4 files. The tickers are NYSEI (Advances)use the cusip 00000157 rather than the symbol NYSEJ (declines) NYUP (Advance volume) and NYDN (decline volume). After the data has been collected follow these steps: For data from RTD or Dial Data In the DownLoader create a composite security of the Advances Declines. In MetaStock open the composite. Create and plot the custom formula: CV This gives you the Arms Index (TRIN). For data from CompuServe In the DownLoader create the two composites. Advancing Issues Declining Issues Advancing Volume Declining Volume In MetaStock open both composites. Tile the charts so they can both be viewed. Drag the plot of the Adv. VolumeDec. Volume composite into an inner window in the Adv. IssuesDec. Issues chart. Create the custom formula: CP Plot this formula on top of the Adv. VolumeDec. Volume plot (the Adv. VolumeDec. Volume plot will turn a purplish color to signify the formula will be plotted on it). You will know have the Arms Index (TRIN) plotted. You can drag it to its own inner window if you prefer. MetaStock Formula - Aroon Indicators, by Tushar Chande For interpretation of the Aroon indicators refer to Tushar Chandes article quot Time Price Oscillator quot in the September, 95 Technical Analysis of Stocks amp Commodities magazine. 100 (14 - (( If (Ref (L,-1) LLV( L ,14 ) ,1. If ( Ref (L ,-2 ) LLV ( L,14 ) ,2. If ( Ref (L ,- 3 ) LLV( L,14 ) ,3,If ( Ref (L ,-4 ) LLV ( L ,14 ) ,4,If (Ref ( L ,-5 ) LLV ( L ,14 ) ,5,If (Ref (L ,-6 ) LLV( L,14 ) ,6,If ( Ref (L ,-7 ) LLV ( L,14 ) ,7,If (Ref ( L ,-8 ) LLV ( L ,14 ) ,8,If (Ref( L ,-9 ) LLV( L,14 ) ,9,If ( Ref (L,-10) LLV (L,14 ) ,10,If (Ref (L ,-11) LLV( L,14 ) ,11,If (Ref(L,-12 ) LLV(L ,14) ,12,If ( Ref (L,-13) LLV (L ,14 ) ,13,If ( Ref ( L,-14) LLV( L,14 ) ,14 ,0) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) 14 MetaStock Formula - Breadth Thrust The Breadth Thrust indicator is a market momentum indicator developed by Dr. Martin Zweig. The Breadth Thrust is calculated by taking a 10-day exponential moving average of the advancing issues divided by the advancing plus declining issues. According to Dr. Zweig a Breadth Thrust occurs when, during a 10-day period, the Breadth Thrust indicator rises from below 40 percent to above 61.5 percent. A quotThrustquot indicates that the stock market has rapidly changed from an oversold condition to one of strength, but has not yet become overbought. Dr. Zweig also points out that there have only been 14 Breadth Thrusts since 1945. The average gain following these 14 Thrusts was 24.6 percent in an average time frame of 11 months. Dr. Zweig also points out that most bull markets begin with a Breadth Thrust. To plot the Market Breadth in MetaStock for Windows you will need to: Create a composite security of the Advancing Issues Declining Issues in The DownLoader. In MetaStock open a chart of the composite and a chart of the Advancing Issues. Tile the charts so you can see both of them on the screen. Drag the plot of the composite into the chart of the Advancing Issues. Create the custom indicator: mov( C P, 10, E ), then plot it on top of the plot of the composite (the composites plot will turn a purplish color ). If you get a flat line then it was not plotted directly on top of the composites plot. You can then right-click on the Breadth Thrust, select Breadth Thrust Properties, go to the Horizontal Lines page and add horizontal lines at 40 and 60. MetaStock Formula - Candlecode Bdy:Abs(O-C) Lshd:If(CgtO, O-L, C-L) Ushd:If(CgtO, H-C, H-O) ThBotB:BBandBot(Bdy,55,E,0.5) ThTopB:BBandTop(Bdy,55,E,0.5) ThBotL:BBandBot(Lshd,55,E,0.5) ThTopL:BBandTop(Lshd,55,E,0.5) ThBotU:BBandBot(Ushd,55,E,0.5) ThTopU:BBandTop(Ushd,55,E,0.5) CCode:If(CO,1,0)If(UshdgtLshd,64,48)If(CO,0,1)(If(CgtO,1,0)(If(BdyltThBotB,80,0)If(BdygtThBotB AND BdyltThTopB,96,0) If(BdygtThTopB,112,0)) If(CltO,1,0)(If(BdyltThBotB,32,0) If(BdygtThBotB AND BdyltThTopB,16,0)))(If(Lshd0,3,0) If(LshdltThBotL AND Lshdgt0,2,0) If(LshdgtThBotL AND LshdltThTopL AND Lshdgt0,1,0))(If(Ushdgt0 AND UshdltThBotU,4,0) If(UshdgtThbotU AND UshdltThTopU,8,0) If(UshdgtThTopU,12,0)) CCode MetaStock Formula - Candle Strength Index Cum(If(Fml( quotTodays Changequot ) gt Mov(Fml( quotTodays Changequot ),7,E) AND C gt Ref(C,-1), C V, If(Fml( quotTodays Changequot ) lt Mov(Fml( quotTodays Changequot ),7,E) AND C lt Ref(C,-1), Neg(C V) ,0))) Where Fml( quotTodays Changequot ) c - ref(c,-1) Comparitive Relative Strength in MetaStock for Windows Comparative Relative Strength charts can be useful in deciding which security to buy, by helping to pinpoint the best performer. They can also be useful in developing spreads, i. e. purchase of the best performer quotlongquot, and selling the weaker issues quotshort. quot Comparative Relative Strength can be applied in MetaStock for Windows as follows: Creation of a Template for Comparative Relative Strength (For this illustration, we assume an equitystock is compared to the SampP 500, both of which must first have been collected from your vendor. Both data files should be in the same periodicity.) Load the SampP 500. Load the equity, or whatever you wish to find the relative strength for. Drag the SampP 500 plot into a new inner window of the equity. (You may need to click Stack first.) Close the SampP 500 chart. Create a custom indicator: Div(close, p) Drag the custom indicator into the inner window containing the SampP 500 plot, moving it over the plot until the plot changes to a pink or lavender color, then release your mouse button. (This is called dragging and dropping an indicator on an indicator. The new indicator will plot in the same window as the SampP 500 plot.) You have two options here: You can change the color of the SampP 500 plot to be the same as the chart background color, so that it is effectively invisible. (Double-click the SampP 500 plot to get to its quotpropertiesquot, then choose the color you need from the Colors list.) You can give both plots different colors so you can tell which is which. Save this chart as a Template. (FileSave As, set quotSave File As Typequot to Template, and give it a name, such as CMPRELST. MWT.) Any time you want to see Comparative Relative Strength of an equity against the SampP 500, apply this template to the equitys chart. Note: if you should move the data file against which you are comparing, such as the SampP 500, this template will no longer work, and would have to be recreated. To Run an Exploration Using Comparative Relative Strength Load the SampP 500 (or whatever you want to compare against). Create a custom indicator of the Close. Drag and drop this indicator on the SampP 500 (or whatever. ). (Note: the SampP 500 plot must change to pinklavender color before you drop it.) The indicator will plot. Select the indicator plot (by single-clicking with the left mouse button on the line). Do an Exploration with DIV(Close, p) in column A, and specify which directory to explore. The results are displayed in the Exploration report. (P is a special variable that points at the last indicator plotted or selected.) MetaStock Formula - Confidence (Sum(Mov(C (2.5 Sqrt(50 V)),10,S)- LLV(Mov(C (2.5 Sqrt(50 V)),10,S),5), 3 ) Sum(HHV(Mov(C (2.5 Sqrt(50 V)),10,S),5) - LLV(Mov(C (2.5 Sqrt(50 V)),10,S),5), 3) ) 100 MetaStock Indicator - Coppock Curve The Coppock Curve was developed by Edwin Sedgwick Coppock in 1962. It was featured in the November 94 issue of Technical Analysis of Stocks amp Commodities . in the article quot The Coppock Curvequot . written by Elliot Middleton. Taken from Stocks amp Commodities, V. 12:11 (459-462): The Coppock Curve by Elliott Middleton quotWe are creatures of habit. We judge the world relative to what we have experienced. If were shopping for a mortgage and rates have been in the teens (as they were in the early 1980s) and then drop to 10, we are elated. If, however, theyve been at 8 and then rise to 10, we are disappointed. It all depends on your perspective. The principle of adaptation-level applies to how we judge our income levels, stock prices and virtually every other variable in our lives. Psychologically, relativity prevails. The moving average is the simplest form of adaptation-level. Moving average crossover rules accurately signal the onset of periods of returns outside the norm, whether positive or negative. This makes moving average crossovers useful to traders who want to get a boost on entering or exiting stocks or funds. The oscillator is also based on adaptation-level, although in a slightly different way. Oscillators generally begin by calculating a percentage change of current price from some previous price, where the previous price is the adaptation-level or reference point. The mind is attuned to percentage changes because they represent returns. If you bought Microsoft Corp. stock (MSFT) at 50 and it goes to 80, you make 60 before dividends. If you bought Berkshire Hathaway (BRK) at 4,000 and it rises to 4,030, the same dollar gain, you make 0.75 before dividends. Its the percentage change that counts. Relativity again. Coppock reasoned that the markets emotional state could be determined by adding up the percentage changes over the recent past to get a sense of the markets momentum (and oscillators are generally momentum indicators ). So if we compare prices relative to a year ago - which happens to be the most common interval - and we see that this month the market is up 15 over a year ago, last month it was up 12.5 over a year ago, and 10, 7.5 and 5, respectively, the months before that, then we may judge that the market is gaining momentum and, like a trader watching for the upward crossover of the moving average, we may jump into the market. quot The MetaStock formula for the Coppock Curve is: where X is the number of Time Periods for the Oscillator and T X 2 1. For example, a 20 period DPO would be: X 20 T (202 1) 11 Close-Ref( Mov(Close, 20, Simple),11) MetaStock Indicator - Disparity Index Steve Nison refers to the his Disparity Index quotas a percentage display of the latest close to a chosen moving averagequot. This can be defined in MetaStock using the formula: ( ( C - Mov( C, X. ) ) Mov( C, X. ) ) 100 where X is the number of time periods and. is the calculation type of the moving average. ( ( C - Mov( C ,13,E ) ) Mov( C ,13,E ) ) 100 where X 13 time periods and. Exponentieller gleitender Durchschnitt. MetaStock Indicator - Displaying the Price of a Security in 32nds and 64ths All versions of MetaStock prior to our Windows software would need this formula. You can display your securitys prices in 32nds and 64ths, by using the following custom formulas. Once plotted these values will be displayed in the indicator window. INT( C ) ( ( FRAC( C ) .03125 ) 100 ) INT( C ) ( ( FRAC( C ) .015625 ) 100 ) Where C is for the securitys closing price and can be replaced with O, H, or L for the open, high, or low price instead. MetaStock Indicator - Divergence Between the Close and an Indicator The following formula will calculate the correlation of the Close and the MACD. It is written using a quotlong formquot MACD so that the time periods used by the MACD may be changed. This indicator shows quotdivergencequot between the close and the indicator: In the Windows versions of MetaStock the formula is: Correl(((Sum(Cum(1)(Mov(C,12,E)-Mov(C,26,E)),100))-(Sum(Cum(1),100) Sum((Mov(C,12,E)-Mov(C,26,E)),100)100))((Sum(Power(Cum(1),2),100))- (Power(Sum(Cum(1),100),2)100)),((Sum(Cum(1)C,100))-(Sum(Cum(1),100) Sum(C,100)100))((Sum(Power(Cum(1),2),100))-(Power(Sum(Cum(1),100),2)100)),12,0) The interpretation of the indicator output is as follows: - .08 (80) and lower is divergence between the Close and the MACD. - 1 is very strong divergence. 1 is very strong correlation. The formula was constructed this way so that most other indicators may be used in place of the MACD. For example here is the same indicator using the RSI(14): Correl(((Sum(Cum(1)(RSI(14)),100))-(Sum(Cum(1),100) Sum((RSI(14)),100)100))((Sum(Power(Cum(1),2),100))-(Power(Sum(Cum(1),100),2)100)), ((Sum(Cum(1)C,100))-(Sum(Cum(1),100)Sum(C,100)100))((Sum(Power(Cum(1),2),100))- (Power(Sum(Cum(1),100),2)100)),12,0) MetaStock Indicator - Dynamic Momentum Oscillator In July 1996 Futures magazine, E. Marshall Wall introduces the Dynamic Momentum Oscillator (Dynamo). Please refer to this article for interpretation. He describes the Dynamo Oscillator to be: Dynamo Mc - ( MAo - O ) where Mc the midpoint of the oscillator MAo a moving average of the oscillator O the oscillator This concept can be applied to most any oscillator to improve its results. Applying the Dynamo Oscillator to a 5-period K slowed 3 periods Stochastic Oscillator would give: where: Mc Stochastic Oscillators midpoint 50 MAo Moving average of the Stochastic Mov(Stoch(5,3),21,S O Stochastic Oscillator Stoch(5,3) This example applies it to an RSI oscillator: where: Mc RSIs midpoint 50 MAo Moving average of the RSI Mov(RSI(14),21,S O RSI Oscillator RSI(14) MetaStock Indicator - Elliot Oscillator MetaStock Indicator - End Point Moving Average The End Point Moving Average was introduced in the October 95 issue of Technical Analysis of Stocks amp Commodities in the article quot The End Point Moving Averagequot . by Patrick E. Lafferty. The exact formula for the End Point Moving average is as follows: ( 14 Sum( Cum( 1 ) C,14 ) - Sum( Cum( 1 ),14) Sum( C,14) ) (14 Sum( Pwr( Cum( 1 ),2),14 ) - Pwr( Sum( Cum( 1 ),14 ),2 ) ) Cum( 1 ) (Mov(C,14,S) - Mov( Cum( 1 ),14,S) (14 Sum( Cum( 1 ) C,14) - Sum( Cum( 1 ),14 ) Sum( C,14) ) (14 Sum( Pwr( Cum( 1 ),2 ),14) - Pwr( Sum( Cum( 1 ),14 ),2 ) ) ) The above formula plots the last value of a linear regression line of the previous 14 periods. The Time Series Forecast takes this value and the slope of the regression line to forecast the next day and then plots this forecasted price as todays value. Please note the above formula is using 14 regression periods. If you desire to use different time periods you must change all instances of the number 14 to the desired number of time periods. For interpretation refer to Mr. Laffertys article. MetaStock Indicator - End Points of a Linear Regression with Standard Deviations In MetaStock 5.x for Windows there is a way to plot the end points of a linear regression line with channels - 2 Standard Deviations. Here are the three formulas: Linear Regression (14): (14 Sum(Cum(1) C,14) - Sum(Cum(1),14) Sum(C,14)) (14 Sum(Pwr(Cum(1),2),14) - Pwr(Sum(Cum(1),14),2)) Cum(1) (Mov(C,14,S) - Mov(Cum(1),14,S) (14 Sum(Cum(1) C,14) - Sum(Cum(1),14) Sum(C,14))(14 Sum(Pwr(Cum(1),2),14) - Pwr(Sum(Cum(1),14),2))) Linear Regression Lower Band: Fml( quotLinear Regression (14)quot ) - 2 Stdev( Fml( quotLinear Regression (14)quot ) ,14) Linear Regression Upper: Fml( quotLinear Regression (14)quot ) 2 Stdev( Fml( quotLinear Regression (14)quot ) ,14) MetaStock Indicator - Plotting Alpha and Beta To plot Alpha and Beta in MetaStock follow the steps below. The custom indicator named Beta is required to plot Alpha. In the Windows versions of MetaStock: To plot Alpha: Create the custom formulas Alpha and Beta (see below for formula syntax). Open a chart of the desired security. Drag the price plot of the index you are comparing, into the chart of the security and close the chart of the index. Maximize the security chart if needed. Drag the custom indicator Alpha from the Quick List and drop it onto the price plot of the index. The index plot will turn a purplish color when you are plotting on top of it. Note, this formula is set to calculate Alpha over 21 periods. To change the time periods replace each instance of 21 in the formula with the desired number of periods and also change the time periods in the Beta custom indicator. ( Sum( ROC( CLOSE ,1 , ) ,21 ) - ( Fml( quotBetaquot ) Sum( ROC( INDICATOR,1,) ,21 ) ) ) 21 To plot Beta: Open a chart of the desired security. Drag the price plot of the index your comparing, into the chart of the security. Drag this custom indicator from the Quick List and drop it onto the price plot of the index. Note, this formula is set to calculate beta over 21 periods. To change the time periods replace each instance of 21 in the formula with the desired number of periods. ( ( 21 Sum( ROC( CLOSE ,1 , ) ROC( INDICATOR ,1 , ) ,21 ) ) - ( Sum( ROC( CLOSE ,1 , ) ,21) Sum( ROC( INDICATOR ,1 , ) ,21 ) ) ) ( (21 Sum( Pwr( ROC( INDICATOR ,1 , ) ,2 ) ,21 )) - Pwr( Sum( ROC( INDICATOR ,1 , ) ,21 ) ,2 )) Beta is a measure of volatility of one security against another. This is typically used to measure the volatility of a stock against an index like the SampP 500. A value greater than one indicates the stock is more volatile than the index. MetaStock Indicator - Polarized Fractual Efficiency The January 1994 issue of Stocks amp Commodities featured an article by Hans Hannula on Polarized Fractual Efficiency. Here is the custom formula for creating the five-period smoothed 10-day PFE using MetaStock: Mov(If(C, gt, Ref(C,-9),Sqr(Pwr(Roc(C,9,),2) Pwr(10,2)) Sum(Sqr(Pwr(Roc(C,1,),2)1),9),- Sqr(Pwr(Roc(C,9,),2) Pwr(10,2)) Sum(Sqr(Pwr(Roc(C,1,),2)1),9))100,5,E) MetaStock - Price Action Indicator (PAIN) If you were only given todays open, high, low and close, how could you make heads or tails of it The Price Action Indicator (PAIN) can help. The formula returns a single value that weighs intra-day momentum (C-O), Late Selling Pressure (LSP) (C-L), and Late Buying Pressure (LBP) (C-H). The formula is proven by constructing ideal limit-up and limit down scenarios in bond futures. The output is shown to be consistent with the interpretation of Japanese candlestick patterns. See Michael B. Geraty (1997). quotGetting Better Directionsquot Futures Vol. 26: Aug. MetaStock Indicator - Price Oscillator Wave MetaStock Indicator - Price Volume Rank Taken from Stocks amp Commodities, V. 12:6 (235-239): Price-Volume Rank by Anthony J. Macek quotImagine receiving a warning when the market was likely to collapse or being alerted when one of your favorite stocks was about to rally. What if these signals came from analysis that was simple enough to do without a computer and took only a few minutes a day to update, using just two pieces of information found in virtually any newspaper Is this a dream Maybe not. Anthony Macek explains. The old adage about keeping things simple applies even to the investment world. Methods of analysis such as polarized fractal efficiency and price oscillator divergences do a great job, but for those with neither the time nor the inclination to master the techniques necessary to monitor every blip and sputter that the market produces may be served just as well by noting only two very important market variables: price and volume. quot For interpretation refer to the June 94 issue of Technical Analysis of Stocks amp Commodities . You need to create all of the following custom formulas in order for the PV Rank to calculate properly. P-V Rank: Fml( quotPV1quot ) Fml( quotPV2quot ) PV1: If( C, gt, Ref( C ,-1 ),If( V, gt, Ref( V ,-1 ) ,1,If( V, lt, Ref(V ,-1 ) ,2 ,0 ) ) ,0 ) PV2: If( C, lt, Ref( C ,-1 ),If( V, lt, Ref( V ,-1 ) ,3,If( V, gt, Ref( V ,-1 ) ,4 ,0 ) ) ,0 ) PV Biggie: (This combines all formulas into one formula) If( C, gt, Ref( C ,-1 ),If( V, gt, Ref( V ,-1 ) ,1,If( V, lt, Ref( V ,-1 ) ,2 ,0 ) ),If( C, lt, Ref( C ,-1 ),If( V, lt, Ref( V ,-1 ) ,3,If( V, gt, Ref( V ,-1 ) ,4 ,0 ) ) ,0 ) ) MetaStock Indicator - Price Volume Trend Stochastic The following formulas, for the Random Walk Index, were constructed using information from the article quotAre There Persistent Cyclesquot . Von E. Michael Poulos, im September 1992 TASC. Alle Formeln werden benötigt. Random Walk Index: Max( ( Ref(HIGH,-1) - LOW ) ( ( Ref(Sum (Atr ( 1 ) ,2 ),-1) 2) Sqrt( 2 ) ),Max( (Ref(HIGH,-2) - LOW) ( ( Ref(Sum (Atr ( 1 ),3),-1) 3) Sqrt( 3 ) ), Max( (Ref(HIGH,-3) - LOW) ( (Ref(Sum (Atr( 1 ) ,4) ,-1) 4) Sqrt( 4 ) ). Max( ( Ref( HIGH,-4) - LOW) ( (Ref(Sum(Atr( 1 ),5),-1) 5) Sqrt( 5 ) ), Max( (Ref(HIGH,-5) - LOW) ( (Ref( Sum( Atr ( 1 ),6),-1) 6 ) Sqrt( 6 ) ), Max( ( Ref(HIGH,-6) - LOW) ( (Ref( Sum( Atr( 1 ),7),-1) 7) Sqrt( 7 ) ), Max((Ref(HIGH,-7)-LOW) ( (Ref(Sum (Atr( 1 ),8),-1) 8) Sqrt(8) ), (Ref(HIGH,-8)-LOW) ( (Ref(Sum (Atr (1),9),-1) 9) Sqrt( 9 ) ) ) ) ) ) ) ) ) MetaStock Formula - Rate of Change Since a Specific Date The following formula plots a percent rate of change between a specific date and today. Der Benutzer wird zur Eingabe des bestimmten Datums aufgefordert. Dies funktioniert nur in MetaStock für Windows 95NT Version 6.5 (oder höher) oder in MetaStock Professional. Konstruieren Sie die Formel im Indicator Builder und geben Sie den Namen unten in Fettdruck an. Der gesamte Text nach quotFORMULA: quot und before quotEND von FORMULAquot sollte im Feld Formel im Indicator Builder platziert werden. Sobald der Indikator erstellt wurde, können Sie ihn aus der Indikator-Schnellliste für die Platzierung in ein inneres Fenster des Diagramms ziehen. NAME: ROC Since a Date Day1 : Input(quotDayquot,1,31,4) Month1 : Input(quotMonthquot,1,12,1) Year1 : Input(quotYearquot,1900,2400,1999) 100 (CLOSE - ValueWhen(1,DayOfMonth() Day1 AND Month() Month1 AND Year() Year1, CLOSE)) ValueWhen(1,DayOfMonth() Day1 AND Month() Month1 AND Year() Year1,CLOSE) MetaStock Indicator - Recursive Moving Trend Average MetaStock Indicator - Regression Oscillator and SlopeClose Indicator In MetaStock 6.0 its easy to create the Regression Oscillator and the SlopeClose Indicator from Richard Goeddes article, quotMarket timing with the regression oscillatorquot, which appears in the March 97 issue of Technical Analysis Stocks and Commodities magazine . Wählen Sie Indicator Builder aus dem Menü Extras aus, und geben Sie die folgenden Formeln ein: Regression Oszillator 100 (CLOSE LinearReg (CLOSE, 63) -1) SlopeClose 10000 LinRegSlope (CLOSE, 63) CLOSE Ziehen Sie als nächstes jede dieser Formeln aus der Anzeige QuickList und löschen Sie sie Auf der Überschrift eines Diagramms. Um horizontale Linien zu erzeugen, klicken Sie mit der rechten Maustaste, während der Mauszeiger über dem Regression-Oszillator positioniert ist, um das Kontextmenü anzuzeigen. Wählen Sie Regression Oscillator Properties. Fügen Sie auf der horizontalen Linie horizontale Linien bei 14, 0 und -14 hinzu. Sie können den Explorer verwenden, um den in dem Artikel erwähnten Bildschirm auszuführen. Wählen Sie zuerst den Explorer im Menü Extras, und erstellen Sie als nächstes eine neue Exploration mit den folgenden Informationen: Spalte A Name: Reg Osc Formel: Fml (Regression Oscillatorquot) Spalte B Name: SlpCls Formel: Fml (quotSlopeClosequot) Filterformel: ColB gt 50 and ColA gt-15 und ColA lt -5 Wählen Sie OK und dann Erkunden, um die Exploration zu starten. Für MetaStock für Windows 5.x Benutzer die Anweisungen sind die gleichen, außer geben Sie die folgenden benutzerdefinierten Indikator an Stelle der oben genannten. Regression Oscillator 100 (CLOSE ((63 Sum(Cum(1) C,63) - Sum(Cum(1),63) Sum(C,63)) (63 Sum(Pwr(Cum(1),2),63) - Pwr(Sum(Cum(1),63),2)) Cum(1) (Mov(C,63,S) - Mov(Cum(1),63,S) (63 Sum(Cum(1) C,63) - Sum(Cum(1),63) Sum(C,63)) (63 Sum(Pwr(Cum(1),2),63) - Pwr(Sum(Cum(1),63),2))))-1) SlopeClose 10000 ((63 Sum(Cum(1) C,63) - Sum(Cum(1),63) Sum(C,63)) (63 Sum(Pwr(Cum(1),2),63) - Pwr(Sum(Cum(1),63),2)))CLOSE MetaStock Indicator - Relative Strength Index (RSI) Custom This custom RSI will allow you to select which price data to use when you plot it. Der Standard-RSI verwendet den nahen Wert, wie Welles Wilder tat, als er das Kennzeichen erzeugte. Dieses benutzerdefinierte Kennzeichen erlaubt Ihnen, die anderen Preisfelder einschließlich Volumen zu verwenden. B:Input(quotField: 1Close, 2Open, 3High, 4Low, 5Volumequot,1,5,1) MetaStock Indicator - Relative Volatility Index (RVI) The following formulas were taken from the article quotThe relative volatility index, quot written by Dorsey, Donald, in the June 93 issue of Technical Analysis of STOCKS amp COMMODITIES. Ausgehend von Stocks amp Commodities, V. 11: 6 (253-256): Der relative Volatilitätsindex von Donald Dorsey quotDas RVI ist einfach der relative Stärkeindex (RSI) mit der Standardabweichung der letzten 10 Tage anstelle des Tagespreises Veränderung. Da die meisten Indikatoren Preisänderungen für ihre Berechnungen verwenden, benötigen wir einen Bestätigungsindikator, der eine andere Messung verwendet, um die Marktstärke zu interpretieren. Das RVI misst die Richtung der Volatilität auf einer Skala von null bis 100. Messwerte über 50 zeigen, dass die Volatilität, gemessen durch die 10-Tage-Standardabweichung der Schlusskurse, mehr auf der Oberseite liegt. Messwerte unter 50 zeigen, dass die Richtung der Volatilität nach unten ist. Die anfänglichen Tests zeigen, dass das RVI verwendet werden kann, wo immer Sie das RSI und in der gleichen Weise verwenden könnten, aber der spezifische Zweck dieser Studie ist, die RVI Leistung als bestätigender indicator. quot zu messen. Das RVI wurde entworfen, um die Richtung von zu messen Volatilität. Es berechnet die Preisfestigkeit durch Messung der Volatilität anstatt der Preisänderung. All of the following formulas are required: For interpretation refer to the article quot Standard Error Bands quot, in the September 96 issue of TASC, written by Jon Anderson. 21 period Upper Band (smoothed): Mov((21 Sum(Cum(1) C,21) - Sum(Cum(1),21) Sum(C,21)) (21 Sum(Pwr(Cum(1),2),21) - Pwr(Sum(Cum(1),21),2)) Cum(1) (Mov(C,21,S) - Mov(Cum(1),21,S) (21 Sum(Cum(1) C,21) - Sum(Cum(1),21) Sum(C,21)) (21 Sum(Pwr(Cum(1),2),21) - Pwr(Sum(Cum(1),21),2))) 2(Sqrt(((Sum(Power(C,2),21)-(Power(Sum(C,21),2)21)) -((Sum(Cum(1)C,21))-((Sum(Cum(1),21)Sum(C,21)21))) ((Sum(Power(Cum(1),2),21))-(Power(Sum(Cum(1),21),2)21)) ((Sum(Cum(1)C,21))-((Sum(Cum(1),21)Sum(C,21)21)))) 19)),3,S) 21 period Lower Band (smoothed): Mov((21 Sum(Cum(1) C,21) - Sum(Cum(1),21) Sum(C,21)) (21 Sum(Pwr(Cum(1),2),21) - Pwr(Sum(Cum(1),21),2)) Cum(1) (Mov(C,21,S) - Mov(Cum(1),21,S) (21 Sum(Cum(1) C,21) - Sum(Cum(1),21) Sum(C,21)) (21 Sum(Pwr(Cum(1),2),21) - Pwr(Sum(Cum(1),21),2))) - 2(Sqrt(((Sum(Power(C,2),21)-(Power(Sum(C,21),2)21)) -((Sum(Cum(1)C,21))- ((Sum(Cum(1),21) Sum(C,21)21))) ((Sum(Power(Cum (1),2),21))-(Power(Sum(Cum(1),21),2)21))((Sum(Cum(1)C,21))- ((Sum(Cum(1),21)Sum(C,21)21)))) 19)),3,S) MetaStock Indicator - Support and Resistance Think of security prices as the result of a head-to-head battle between a bull (the buyer) and a bear (the seller). Die Bullen drücken Preise höher und die Bären drücken Preise niedriger. The direction prices actually move reveals who is winning the battle. Unterstützungsniveaus geben den Preis an, an dem die Mehrheit der Anleger glauben, dass sich die Preise weiter verschieben werden, und der Widerstandswert zeigt den Preis an, zu dem die Mehrheit der Anleger das Gefühl hat, dass sich die Preise niedriger bewegen werden. To create the Support and Resistance indicator in MetaStock use the following custom formula: LookBack : Input(quotLook Back Periodsquot,1,1000,10) Resistance :ValueWhen(1,Cross(Mov(C, LookBack, S),C),HHV(H, LookBack)) Support :ValueWhen(1,Cross(C, Mov(C, LookBack, S)),LLV(L, LookBack)) Resistance Support To use this formula most effectively, use the parameters dialogue to change the style to a dotted line while increasing the line weighting. MetaStock Indicator - The New Advance Decline Line The formulas and steps necessary to do the New Advance - Decline Line from the September 1994 Technical Analysis of Stocks amp Commodities . page 14 by Daniel Downing are: Taken from Stocks amp Commodities, V. 12:9 (363-365): A New Advance-Decline Line by Daniel E. Downing quotHeres a trading tool that uses a unique version of the daily advance-decline line of the New York Stock Exchange (NYSE). This version helps in our short - and long-term trading of index options and stock index futures. It gives many good short-term trading signals and excellent but infrequent longer-term signals The philosophy behind this tool is that the short-term traders capital is finite and that traders have to reliquify their holdings after a period. Traders can buy and try to push the equities higher only so many times before they need to reliquify, just as only a finite amount of selling waves can take place before the sellers are out of supplies. A tool that points to when short-term traders need to reliquify their positions will also spot when the markets will soon reverse their trends. quot For the Windows versions of MetaStock: Load the advances Load the declines Drag the plot of the advances into the chart of the declines Plot the following custom formula directly on the plot of advances. Cum( If( P, gt ,1000,If(C, lt ,1000. 1 ,0 ),If( C, gt ,1000 ,-1 ,0 ) ) ) MetaStock Indicator - Tick Line Momentum Oscillator In his article quotUsing The Tick In A Short-Term Indicatorquot . in the January 94 issue of TASC . Daniel E. Downing presents the Tick Line Momentum Oscillator. Taken from Stocks amp Commodities, V. 12:1 (42-44): Using The Tick In A Short-Term Indicator by Daniel E. Downing quotThe tick index, the net difference of the numbers of stocks last traded on an uptick from those last traded on a downtick. is a well-known indicator, but its got a problem. The raw number result is volatile, perhaps too volatile for some. What to do here, then, is a way to smooth out the noise to identify short-term trading opportunities. The tick is a basic unit for the markets, watched with fascination during periods of turmoil and periods of enthusiasm. It is quoted throughout the day on most quote services. In addition, the closing tick value can be found on the market statistics pages of financial newspapers such as Barrons and The Wall Street Journal. Let me present, then, the tick line momentum oscillator, which is based on the closing value for the New York Stock Exchange (NYSE) tick indicator. The oscillator has been shown to have a good track record of determining when the NYSE is overbought or oversold on a short-term basis. The formula for the tick line momentum oscillator is simple and can be easily calculated without a computer, although a spreadsheet version can be found in the sidebar, quotTick line momentum. quot Finally, the oscillator is straightforward and simple to apply. quot The MetaStock formula for the Tick Line Momentum Oscillator is: Mov( ROC( Cum( If( C, gt, Ref( Mov(C ,10,E ) ,-1 ) ,1,If( C, lt, Ref( Mov( C ,10,E ) ,-1 ) ,- 1 ,0 ) ) ) ,5 , ) ,5,E ) For interpretation refer to Mr. Downings article. MetaStock Index - Trading Channel Index The Trading Channel Index comes from an early version of AIQs Stock Expert program. quotThe Trading Channel Index measures the location of average daily price relative to a smoothed average of average daily price. It is derived from the average difference between these two values. quot To create the Trading Channel Index in MetaStock create the following custom formulas: AP: Average price ( H L C ) 3 ESA: Smoothed price average Mov( Fml( quotAPquot ) ,10,E ) ( Mov( Ref( Fml( quotAPquot ) ,-1 ) ,10,E ) ) D: Price range estimate Mov( ( Fml( quotAPquot ) - Fml( quotESAquot ) ) ,10,E ) ( Mov( Ref( Fml( quotAPquot ) - Fml( quotESAquot ) ,-1 ) ,10,E ) ) CI: Channel index ( ( Fml( quotAPquot ) - Fml( quotESAquot ) ) ( 0.015 Fml( quotDquot ) ) ) TRADING CHANEL INDEX: Mov( Fml( quotCIquot ) ,21,E ) ( Mov( Ref( Fml( quotCIquot ) ,-1 ) ,21,E ) ) MetaStock Indicator - Trending Banding Mov(C,2,S)gt Mov(Mov(C,2,S),2,S) AND Mov(Mov(C,2,S),2,S)gt Mov(Mov(Mov(C,2,S),2,S),2,S) AND Mov(Mov(Mov(C,2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S) AND Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)ANDMov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)gt Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S) MetaStock Indicator - Trendline Formula MetaStock Formula - Freeburg Precious Metal Switch Fund System To create the Freeburg Precious Metal Switch Fund system in MetaStock for Windows, you must first create the K ratio as a composite security. To do this, launch The Downloader from MetaStock, and choose New and then Composite from The Downloaders File menu. Make sure the directory specified is the directory where your weekly GMI and Handy and Harman data are located. Name the composite the K ratio, then choose the Barrons Gold Mining Index as the Primary symbol and Handy and Harman prices as the secondary symbol. Next, choose Divide as the Operator and the click the OK button to add the composite. Open the K ratio chart in MetaStock, Plot the Bollinger Bands Indicator and enter 46 for the number of periods and 2.3 for the standard deviations. Plot Bollinger Bands again and enter 4 for the periods and 1.6 for the Standard Deviations. Your chart should look like the one in Figure. You can also create this system in MetaStock for Dos with the same steps. The data necessary for this chartindicator, is extremely difficult to obtain. The only source we are aware of on diskette is the author of the article. The data is in a Lotus spreadsheet. It must be output to ASCII and then converted to MetaStock data files. He will make a small charge for this data. To keep the GMI data updated, it is only available from Barrons magazine and must be manually input. The Handy amp Harman data must also be manually updated. This may be obtained from the Wall Street Journal as well. MetaStock Formula - Rainbow Charts To create Rainbow Charts in MetaStock for Windows, open any chart, drop the moving average indicator from the Indicator QuickList, and drop it in the same inner windows as the price bars. Geben Sie zwei für die Perioden ein und für die Methode einfach. Als nächstes wird ein zweiter gleitender Durchschnitt auf den ersten gleitenden Durchschnitt gezogen, indem ein gleitender Durchschnitt aus der QuickList gezogen und auf den ersten gleitenden Durchschnitt gelegt wird. (Hinweis: Der erste gleitende Durchschnitt sollte vor dem Loslassen der Maustaste heller werden.) Wenn Sie es korrekt gelöscht haben, sollte das Dialogfeld Parameter den Indikator für das Feld Preis anzeigen. Klicken Sie auf OK, um zwei Perioden zu akzeptieren und einfach wie die Parameter. Change the color of this moving average as desired. Nun wird ein dritter gleitender Durchschnitt des zweiten gleitenden Durchschnitts durch Wiederholen dieser Schritte aufgetragen. Fahren Sie fort, bis Sie zehn gleitende Durchschnitte haben. Wählen Sie Ja, wenn MetaStock Sie auffordert, ein Duplikat anzuzeigen. Klicken Sie im Menü Extras auf Indicator Builder und geben Sie die folgenden Formeln ein. Max(Mov(C,2,S), Max(Mov(Mov(C,2,S),2,S), Max(Mov(Mov(Mov(C,2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S), Max(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S), Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)))))))))) Min(Mov(C,2,S), Min(Mov(Mov(C,2,S),2,S), Min(Mov(Mov(Mov(C,2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S), Min(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S), Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)))))))))) 100 (CLOSE - ((Mov(C,2,S) Mov(Mov(C,2,S),2,S) Mov(Mov(Mov(C,2,S),2,S),2,S) Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S) Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(Mov(C,2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S),2,S)) 10))(HHV(C,10)-LLV(C,10)) -100 (Fml(quotRainbow Maxquot) - Fml(quotRainbow Minquot)) (HHV(C,10) - LLV(C,10)) 100 (Fml(quotRainbow Maxquot) - Fml(quotRainbow Minquot)) (HHV(C,10) - LLV(C,10)) Plot the Rainbow Oscillator in a new inner window of your chart with the ten moving averages, by dropping the custom indicator from the QuickList onto the charts heading. Klicken Sie mit der rechten Maustaste auf den Rainbow Oscillator und wählen Sie Eigenschaften, dann ändern Sie den Style in ein Histogramm. Now plot the Lower Rainbow Band and the Upper Rainbow Band in the same inner window as the Rainbow Oscillator. Wenn das Skalierungsdialogfeld beim Plotten dieser Indikatoren erscheint, wählen Sie Merge with Scale on Right. Ändern Sie die Farben der oberen und unteren Rainbow Bands wie gewünscht. Now save this as a new template by choosing Save As from the File Menu and changing the File Type to template, so you can easily apply it to any chart. MetaStock Formula - Fibonacci Ratios and Momentum In MetaStock for Windows, you can establish Fibonacci Retracement levels as outlined in the November 1997 TASC article quotUsing Fibonacci Ratios and Momentumquot by Thom Hartle by first creating an Expert in the Expert Advisor. To do this, choose Expert Advisor from the Tools menu and then choose New. Enter the following Expert Highlights and Expert Symbols into your Expert. Fibonacci Ratios and Momentum Condition: RSI(14) gt 50 Label: Isolated High Note: If the Symbol labels make the chart too busy you may want to shorten the label (e. g. change Isolated High to IH). Next, close the Expert Advisor, open any chart, and then click the right-mouse button on the charts heading. Choose Expert Advisor and then Attach from the Chart Shortcut Menu. You can now choose Fibonacci Retracement from the Insert menu, and then drag from one isolated extreme to another. In MetaStock 6.5 you should right-click on the Fibonacci Retracement lines and choose properties. Check the Snap to Price checkbox so the Retracement lines will automatically snap to the high and low prices. If you followed these steps correctly, your chart should look like the chart below MetaStock Formula - Volatility Indicator You can easily create the Volatility Indicator from William Browers article in MetaStock for Windows. First choose Indicator Builder from the Tools menu in MetaStock. Next choose New and enter one of the following formulas: Formula for MetaStock Lookback : Input(quotTime Periodsquot,1,1000,50) HighVolatility : Input(quotHigh Volatility quot,.01,100,3) 100 Sum(100 ATR(1)CLOSE gt HighVolatility, Lookback)Lookback Formula for earlier versions of MetaStock for Windows 100 Sum(100 ATR(1)CLOSE gt 3, 50)50 Now drag the Volatility from the Indicator QuickList and drop it on the desired chart. Allan McNichol Equis International MetaStock Formula - Breaking out of Price Channels Breaking out of Price Channels, by Gerald Marisch, quotTechnical Analysis of Stocks amp Commoditiesquot, January 1998, page 93. quotHeres a technique based upon Tushar Chandes variable-length moving average. The indicator is more responsive to market price movements than a conventional simple or exponential moving average, and can be used for position trading. quot The following formula will match the authors slight modification to the variable moving average: VIDYA 21,5 Indicator MetaStock Formula - Smoothing Techniques for More Accurate Signals The following MetaStock formulas are from the 1998 January TASC article quot Smoothing Techniques for more Accurate Signalsquot . by Tim Tillson. Siehe seinen Artikel für die Auslegung. "Mehr anspruchsvolle Glättung Techniken können verwendet werden, um Markttrends zu bestimmen. Better trend recognition can be lead to more accurate trading signals. quot Periods:Input(quotPeriodsquot,2,63,11) Size:LastValue(Cum(1)) Start:LastValue(Ref(Mov(P, Periods, S),Periods-Size)) Cum(LinRegSlope(P, Periods))Start Periods:Input(quotPeriodsquot,1,63,5) a:Input(quotHotquot,0,2,.7) e1:Mov(P, Periods, E) e2:Mov(e1,Periods, E) e3:Mov(e2,Periods, E) e4:Mov(e3,Periods, E) e5:Mov(e4,Periods, E) e6:Mov(e5,Periods, E) c1:-aaa c2:3aa3aaa c3:-6aa-3a-3aaa c4:13aaaa3aa c1e6c2e5c3e4c4e3 MetaStock Formula - Anchored Momentum The four indicators in Rudy Stefenels article quotAnchored Momentumquot can be easily created in MetaStock. First, choose Indicator Builder from the Tools menu. If you have MetaStock 6.5 enter the following formulas: General Anchored Momentum w Exponential Smoothing MomPer : Input(quotMomentum Periodsquot,1,1000,10) SmaPer : Input(quotSimple Moving Average Periodsquot,1,1000,7) EmaPer : Input(quotExponential Moving Average Periodsquot,1,1000,7) 100 ((Mov(CLOSE, EMAPer, E) Ref(Mov(CLOSE, SmaPer, S), ((SmaPer - 1)2) MetaStock Formula - Double Tops and Double Bottoms In the February 1998 issue of Technical Analysis of Stocks amp Commodities magazine, Thomas Bulkowski discusses the use of Double Bottoms as a means of finding profitable trades. In MetaStock for Windows, you can find both Double Tops and Double Bottoms with these formulas. There is a caveat however. In the article, Mr. Bulkowski utilizes the High-Low range in finding Double Bottoms. These formulas use only the close value, so a few of the lower priced issues will not produce signals in MetaStock. Overall, however, these formulas produce most of the major signals he discusses. PK:Zig(C,10,)ltRef(Zig(C,10,),-1) AND Ref(Zig(C,10,),-1)gtRef(Zig(C,10,),-2) TR:Zig(C,10,)gtRef(Zig(C,10,),-1) AND Ref(Zig(C,10,),-1)ltRef(Zig(C,10,),-2) (ValueWhen(1,PK, Ref(C,-1))ValueWhen(2,PK, Ref(C,-1))gt.96 AND ValueWhen(1,PK, Ref(C,-1)) ValueWhen(2,PK, Ref(C,-1))lt1.04) AND PK2-PK1gt10 AND Cross(ValueWhen(1,TR, Ref(C,-1)),C) PK:Zig(C,10,)ltRef(Zig(C,10,),-1) AND Ref(Zig(C,10,),-1)gtRef(Zig(C,10,),-2) TR:Zig(C,10,)gtRef(Zig(C,10,),-1) AND Ref(Zig(C,10,),-1)ltRef(Zig(C,10,),-2) (ValueWhen(1,TR, Ref(C,-1))ValueWhen(2,TR, Ref(C,-1))gt.96 AND ValueWhen(1,TR, Ref(C,-1)) ValueWhen(2,TR, Ref(C,-1))lt1.04) AND TR2-TR1gt10 AND Cross(C, ValueWhen(1,PK, Ref(C,-1))) MetaStock Formula - Adaptive Moving Average In MetaStock 6.5 you can easily create the Perry Kaufman Adaptive Moving Average system. With MetaStock 6.5 running, choose Indicator Builder from the Tools menu and then click on the New button. Enter the following formulas. Adaptive Moving Average Binary Wave Periods : Input(quotTime Periodsquot,1,1000, 10) Direction : CLOSE - Ref(Close,-periods) SSC : ER (FastSC - SlowSC) SlowSC AMA : If(Cum(1) periods 1, ref(Close,-1) constant (CLOSE - ref(Close,-1)),Prev constant (CLOSE - PREV)) FilterPercent : Input(quotFilter Percentagequot, 0,100,15)100 Filter : FilterPercent Std(AMA - Ref(AMA,-1),Periods) AMALow : If(AMA lt Ref(AMA,-1),AMA, PREV) AMAHigh : If(AMA gt Ref(AMA,-1),AMA, PREV) If(AMA - AMALow gt Filter, 1 , If(AMAHigh - AMA gt Filter, -1 , 0 )) AMA : If(Cum(1) periods 1, ref(Close,-1) constant (CLOSE - ref(Close,-1)),Prev constant (CLOSE - PREV)) If you want to see the Adaptive Moving Average, just plot it on any chart. If you want to see the buy and sell signals of the Adaptive Moving Average system plot the Adaptive Moving Average Binary wave. This binary wave plots a 1 when there is a buy signal, a 1 when there is a sell signal and a zero when there is no signal. MetaStock Formula - Automatic Support and Resistance Copied from Technical Analysis of Stocks and Commodities Magazine. This is in regards to an article on page 51 of the May 1998 issue. In my article quotAutomatic support and resistancequot in this issue, I present a computerized approach to finding support and resistance levels on a chart. To recreate the indicators and system described in my article using MetaStock for Windows, enter the following formulas: S1: IF(Ref(LOW,-4)LLV(LOW,9),Ref(LOW,-4),PREVIOUS) S2: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS1quot),-1)) S3: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS2quot),-1)) S4: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS3quot),-1)) S5: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS4quot),-1)) S6: IF(Fml(quotS1quot)Ref(Fml(quotS1quot),-1),PREVIOUS, Ref(Fml(quotS5quot),-1)) WSO: 100(1(Int(Fml(quotS1quot)CLOSE)Int(Fml(quotS2quot)CLOSE)Int(Fml(quotS3quot)CLOSE)Int(Fml(quotS4quot)CLOSE) Int(Fml(quotS5quot)CLOSE)Int(Fml(quotS6quot)CLOSE))6) R1: IF(Ref(HIGH,-4)HHV(HIGH,9),Ref(HIGH,-4),PREVIOUS) R2: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR1quot),-1)) R3: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR2quot),-1)) R4: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR3quot),-1)) R5: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR4quot),-1)) R6: IF(Fml(quotR1quot)Ref(Fml(quotR1quot),-1),PREVIOUS, Ref(Fml(quotR5quot),-1)) WRO: 100(1(Int(Fml(quotR1quot)CLOSE)Int(Fml(quotR2quot)CLOSE) Int(Fml(quotR3quot)CLOSE)Int(Fml(quotR4quot)CLOSE) Int(Fml(quotR5quot)CLOSE)Int(Fml(quotR6quot)CLOSE))6) The indicators S1 through S6 and R1 through R6 should be plotted as points and not as a continuous line. Trading System Formulas and Parameters: Enter long positions on either building support or sustained uptrend and exit position using stops. No short positions. Enter Long: Fml(quotWSOquot) gt Mov( Fml(quotWSOquot). 4. S ) OR Mov( Fml(quotWROquot). 30. S ) gt 95 Breakeven stop: Floor level at 2 Trailing stop: Profit risk of 10 Percent, ignoring 10 periods Maximum loss stop: Maximum loss of 7 Initial equity 1000, Long positions only, Trade price close, Trade delay 0, Entry commission 0, Exit commission 0. Interest rate 5, Margin req. 100 MetaStock Formula - Muted Variables, Volatility, and a New Market Paradigm Mutated Variables, Volatility and a New Market Paradigm by Walter T. Downs, Ph. D. In MetaStock for Windows 6.0 or higher, use the Expert Advisor to create highlights, which will show when contraction and expansion phases are present. First, choose Expert Advisor from the tools menu in MetaStock. Create a new Expert with the following highlights: Expert name: New Market Paradigm Highlights Name: Contraction Condition: BBandTop(CLOSE,28,SIMPLE,2)lt Ref(BBandTop(CLOSE,28,SIMPLE,2),-1) AND BBandBot(CLOSE,28,SIMPLE,2)gtRef(BBandBot(CLOSE,28,SIMPLE,2),-1) Color: Blue Name: Expansion Condition: BBandTop(CLOSE,28,SIMPLE,2)gt Ref(BBandTop(CLOSE,28,SIMPLE,2),-1) AND BBandBot(CLOSE,28,SIMPLE,2)ltRef(BBandBot(CLOSE,28,SIMPLE,2),-1) Color: Red Click OK to save the changes to the Expert. Open a chart and then click your right-mouse button while pointing at the chart heading. Choose Expert Advisor and then choose Attach from the chart shortcut menu. Choose the New Market Paradigm Expert and then click the OK button. The price bars in the chart will be highlighted blue during a contraction phase and red in an expansion phase. MetaStock Formula - Channel Analysis Channel Analysis, beginning on page 18 of the July 1998 Technical Analysis of Stocks amp Commodities Magazine Its quite easy to create the Trend Channels discussed in Thom Hartles Channel Analysis article in MetaStock for Windows. After opening a chart, you may want to zoom in a little to make it easier to draw the Trend Channels more precisely. You can do this by clicking on the quotquot button located on the Chart Toolbar at the bottom of the chart. Next you may want to identify the bars for the support or resistant points by drawing circles on the bars as Mr. Hartle did in the article, or you can use symbols from the symbol palette. Both can be chosen from the Drawing Toolbar which is on left side of the chart. After identifying the points to draw the trendline, click on the Trendline button, also located on the Drawing Toolbar, and draw the trendline between the closing prices of the two bars. If you are using MetaStock 6.5, you may want to right-click on the trendline, choose properties, and then check the Snap to Price checkbox. This will make the trendline line up exactly with the closing prices. To create the second trendline of the Trend Channel, right-click on the first trendline and choose Create Parallel Line. Drag this parallel line so it aligns with the highest high between the two support points or the lowest low between two resistance points. If desired, you can go to the properties of each of these trendlines and choose to extend the lines to the right. MetaStock Formula - A Volatility Trade in Gold quotA Volatility Trade In Goldquot by David S. Landry, CTA, Technical Analysis of Stocks amp Commodities, page 87. In this article the author gives formulas for three indicators MetaStock. The formulas as given will work in all versions of MetaStock. However, there is an error in the formula the author names Volatility 12 EMA. The formula should be: Mov((Fml(quotCONHV4quot) Fml(quotCONHV6quot) Fml(quotCONHV10quot))3,12,e) Here are formulas for version 6.5 of MetaStock for Windows. These formulas use Inputs which allow you to select the time periods when you plot the formulas. David Landry Historical Volatility Num:Input(quotNumber Of Periods For Numeratorquot,1,100,4) Den:Input(quotNumber Of Periods For Denominatorquot,2,1000,100) (Log(CRef(C,-1)),Num)Std(Log(CRef(C,-1)),Den) David Landry Average Historical Volatility Den:Input(quotNumber Of Periods For Denominatorquot,2,1000,100) ((Std(Log(CRef(C,-1)),4)Std(Log(CRef(C,-1)),Den))(Std(Log(CRef(C,-1)),6)Std(Log(CRef(C,-1)),Den))(Std(Log(CRef(C,-1)),10)Std(Log(CRef(C,-1)),Den)))3 David Landry EMA of Historical Volatility Den:Input(quotNumber Of Periods For Denominatorquot,2,1000,100) EMA:Input(quotNumber Of Periods For EMAquot,2,100,12) Mov(((Std(Log(CRef(C,-1)),4)Std(Log(CRef(C,-1)),Den))(Std(Log(CRef(C,-1)),6)Std(Log(CRef(C,-1)),Den))(Std(Log(CRef(C,-1)),10)Std(Log(CRef(C,-1)),Den)))3,LastValue(EMA),E) Note: Standard deviation information was not included here because the way these formulas are being used, any standard deviation being used would return an identical value as 1 standard deviation. MetaStock Formula - From Terms to Technical Tools In Walter Downs article quotFrom Terms To Technical Toolsquot he introduces the Point of Balance Oscillator, two conditions to color bars and two system tests. All of these can be created quite easily in MetaStock 6.5. To create the Point of Balance Oscillator, choose Indicator Builder from the Tools menu, click on the New button, and enter the following formula: Point of Balance Oscillator n : Input(quotTime Periodsquot,1,100,12)2 POBC1 : (HHV(CLOSE, n) LLV(CLOSE, n))2 POBC2 : (HHV(POBC1, n) LLV(POBC1,n))2 POBC3 : (HHV(POBC2, n) LLV(POBC2,n))2 POBC4 : (HHV(POBC3, n) LLV(POBC3,n))2 POBC5 : (HHV(POBC4, n) LLV(POBC4,n))2 POBC6 : (HHV(POBC5, n) LLV(POBC5,n))2 POBC7 : (HHV(POBC6, n) LLV(POBC6,n))2 POBC8 : (HHV(POBC7, n) LLV(POBC7,n))2 POBC9 : (HHV(POBC8, n) LLV(POBC8,n))2 POBC10 : (HHV(POBC9, n) LLV(POBC9,n))2 AV : (POBC1 POBC2 POBC3 POBC4 POBC5 POBC6 POBC7 POBC8 POBC9 POBC10) 10 POBCOsc : 100 ((CLOSE - AV) (HHV(CLOSE, 10)-LLV(CLOSE, 10))) To highlight bars based on the Bull Fear and Bear Fear conditions discussed in the article, choose Expert Advisor from the Tools menu, click on the New button and enter the following expert: Bull Fear and Bear Fear Expert HIGHLIGHTS Name: Bull Fear Condition: n : 12 BullFear : (HHV(HIGH, n) - LLV(HIGH, n))2 LLV(HIGH, n) CLOSE gt BullFear Color: Blue Name: Bear Fear Condition: n : 12 BearFear : (HHV(LOW, n) - LLV(LOW, n))2 LLV(LOW, n) CLOSE lt BearFear Color: Red To test the two systems discussed in the article, choose System Tester from the Tools menu and enter both of the following systems: Bull and Bear Fear System Test MetaStock Formula - Simple Moving Average with Resistance and Support In this issue, Dennis L. Tilley uses support and resistance to confirm price and SMA crossover signals in his article quotSimple Moving Average with Resistance and Supportquot. In MetaStock für Windows, können Sie ganz einfach die SMARS Indikatoren, die in Tilleys Artikel. First, choose Indicator Builder from the Tools menu in MetaStock 6.5. Next, choose New and enter the following formulas: Resistance and Support LookBack : Input(quotLook Back Periodsquot,1,1000,10) Resistance :ValueWhen(1,Cross(Mov(C, LookBack, S),C),HHV(H, LookBack)) Support :ValueWhen(1,Cross(C, Mov(C, LookBack, S)),LLV(L, LookBack)) Resistance and Support F LookBack: Input(quotLook Back Periodsquot,1,1000,10) Note It is much easier to see the difference between the actual quotResistance and Supportquot lines and the quot Resistance and Support F quot lines if you change the color andor style of one of them. Anzeigen der Indikatoren in MetaStock 6.5 Ziehen Sie das Kennzeichen "Indikator QuickList" in das Preisfenster. Wählen Sie Simple als Methode, geben Sie die Zeiträume ein und klicken Sie dann auf OK. Now, drag the quotResistance and Supportquot indicator from the QuickList into the price window. You will be prompted to enter the quotLook Backquot periods. You should select the same time periods you used with the quotMoving Averagequot. Finally, drag the quotResistance and Support Fquot indicator into the price window. You will be prompted to enter the quotPercentagequot and the quotLook Backquot periods. Wenn es sich bei dem Indikator um eine 10-fache Differenz von der Zeile "Widerstands" und "Supportquot" handelt, geben Sie den Wert 10 ein. Sie sollten die gleichen Zeiträume auswählen, die Sie mit dem "MOVing Averagequot" verwendet haben. Allan McNichol Equis International MetaStock Formulas - Combining Statistical and Pattern Analysis Shark 32 In MetaStock for Windows you can use the Expert Advisor to recreate the quotShark 32quot signals on your charts as discussed in Walter T. Downs article quotCombining Statistical and Pattern Analysisquot. First, choose Expert Advisor from the Tools menu in MetaStock 6.5. Next, choose New and enter the following formulas: Click the Name tab and enter quotShark 32quot in the Name field. Click the Trends tab and enter the following formulas in the Bullish and Bearish fields. Click the Highlights tab, choose New, and enter quot3 rd Barquot in the Name field. Now change the color in the Color field to Blue. Finally, enter the following formula in the Condition field, and then choose OK. Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(Apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Using the same method as above, enter the following 2 highlight formulas. Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(Apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(Apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Click the Symbols tab, choose New and enter quotShark Buyquot in the Name field. Geben Sie nun im Feld Bedingung die folgende Formel ein. Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Buy: Buyok1 AND Ref(Chk,-1)0 AND ValidChk1 Click the Graphic tab. Change the symbol in the Graphic field to Buy Arrow. Ändern Sie nun die Farbe im Feld Farbe auf Grün. Finally, type quotBuyquot in the Label field, and then choose OK. Using the Same method as above, enter the following Symbol formula. Name: Shark Sell Shark:If((HltRef(H,-1) AND LgtRef(L,-1) AND Ref(H,-1)ltRef(H,-2) AND Ref(L,-1)gtRef(L,-2))1,If(apex lt (Ref(H,-2)-(WBSymmetry)) AND Apex gt (Ref(L,-2)(WBSymmetry)) ,1,0),0) Note The above ValidChk variable makes the Shark signal valid for 25 periods. If the price does not cross below the Low value of the base within 25 periods, you will not receive a signal. You can change the number of periods by changing 25 to the number of periods you desire. Sell: Sellok1 AND Ref(Chk,-1)0 AND ValidChk1 Symbol: Sell Arrow After you have finished creating the Symbol formulas, you can attach the Expert to your chart by choosing Expert Advisor from the Tools Menu. Select the Expert called quotShark 32quot from your list of Experts, choose Attach, and then Close. MetaStock Formula - Better Bollinger Bands In an article in Futures Magazine, October 1998, Dennis McNicholl describes the use of Bollinger Bands and provides a means of making them tighter when markets are trending. He calls them Better Bollinger Bands. Here is the formula for MetaStock 6.5 or higher. pds:Input(quotPeriodsquot,2,200,20) sd:Input(quotStandard Deviationsquot,.01,10,2) alpha:2(pds1) mt:alphaC(1-alpha)(If(Cum(1)ltpds, C,PREV)) ut:alphamt(1-alpha)(If(Cum(1)ltpds, C,PREV)) dt:((2-alpha)mt-ut)(1-alpha) mt2:alphaAbs(C-dt)(1-alpha)PREV ut2:alphamt2(1-alpha)PREV dt2:((2-alpha)mt2-ut2)(1-alpha) but:dtsddt2 blt:dt-sddt2 dt but blt MetaStock Formula - Dynamic Multiple Time Frames Here are the formulas described in the 1999 bonus issue of quotTechnical Analysis of Stocks amp Commoditiesquot magazine in the article quotDynamic Multiple Time Framesquot, p 45. All formulas are written to use daily data. The lines are plotted as described in the article, with the fixed lines only changing their values on the first day of each week. A sixth formula, Tendency, was added to indicate which way the price will tend to move, based on the relationship between the Friday close and the fixed balance point. This formula plots a value on Thursday and on Friday just in case Friday is a market holiday. On every trading week which includes Friday data, ignore the Thursday value. A value of 1 means prices will tend up first and a value of -1 means they will tend down Variables were used in places to simplify the formulas and to allow the referencing of certain values in formulas that plot multiple lines. Dynamic Balance Point Ref( HHV(H,5)LLV(L,5)C, -1)3 MetaStock Formula - quotHow Smooth is Your Data Smootherquot (Sine-Wave Weighted Moving Average) The article quotHow Smooth is Your Data Smootherquot, by Patrick E. Lafferty, reviews different types of moving averages, including a Sine-Weighted Moving Average. The Sine-Weighted Moving Average can easily be created in MetaStock 6.5 or higher. In MetaStock select the quotIndicator Builderquot from the quotToolsquot menu. In the Indicator Builder click quotNewquot and enter the name (shown below in Bold font) in the Name field. Then place the formula (all the text after quotFORMULA:quot and before quotEND OF FORMULAquot) in the Formula field in the Indicator Builder: NAME: Sine-Weighted Moving Average PI:3.1415926 SD:1806 S1:Sin(11806)C S2:Sin(21806)Ref(C,-1) S3:Sin(31806)Ref(C,-2) S4:Sin(41806)Ref(C,-3) S5:Sin(51806)Ref(C,-4) Num:S1S2S3S4S5 Den:Sin(SD)Sin(2SD)Sin(3SD)Sin(4SD)Sin(5SD) Next, click OK and Close out of the Indicator Builder. Open a chart and plot the new formula by dragging it from the Indicator QuickList or by using quotIndicatorsquot from the quotInsertquot menu. Formula by Cheryl Elton, Equis International Many securities, particularly futures, show a tendency to move in cyclical patterns. Price changes can often be anticipated at key cyclical intervals. Cycles allow us to accurately predict events in nature: bird migrations, the tides, planetary movements, etc. You can also use cycle analysis to predict changes in financial markets, although not always with the accuracy found in nature. We know that prices are a consensus of human expectations. These expectations are always changing, and causing prices to oscillate between overbought and oversold levels. Fluctuations in prices are a natural process of changing expectations and lead to cyclical patterns. An obvious example of a cyclical pattern is shown in a chart of a sine wave. Although security prices rarely move with this degree of predictability, even a quick glance at many security charts is enough to see evidence of some type of cyclical pattern. Cycle Line tools allow you to place equally spaced vertical lines on a chart. Since you can control the spacing between the cycle lines, you may be able to visually extrapolate the cycles evident in a plot. If you extend the right margin of a chart, the cycle lines will extend into the future. This can help you anticipate when the next peak or trough of a cycle may occur. Detrended Price Oscillator The Detrended Price Oscillator (DPO) is an indicator that attempts to eliminate the trend in prices. Detrended prices allow you to more easily identify cycles and overboughtoversold levels. The calculation is quite simple you simply center an x-period moving average by shifting it back x2 1 periods. This centered moving average is then subtracted from the close. The result is an oscillator that crosses above and below zero. Since the DPO is shifted back quotx2 1quot periods, the last quotx2 1quot periods will have no values. MetaStock Pro prompts you to enter the number of periods. The value entered should be the approximate length of the cycle you wish to identify. Cycles longer than the number of periods you enter will not be shown. The default value is 20. Long-term cycles are made up of a series of short-term cycles. Analyzing these shorter term components of the long-term cycles can be helpful in identifying major turning points in the longer term cycle. The DPO is helpful in recognizing the underlying cyclical components of the price action. Leonardo Fibonacci was an important mathematician who was born in Italy around the year 1170. It is rumored that Fibonacci discovered the relationship of what are now referred to as Fibonacci numbers while studying the Great Pyramid of Giza in Egypt. Fibonacci numbers are a sequence of numbers in which each successive number is the sum of the two previous numbers: 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, etc. These numbers possess an intriguing number of interrelationships, such as the fact that any given number is approximately 1.618 times the preceding number and any given number is approximately 0.618 times the following number. MetaStock Pro has four Fibonacci studies: arcs, fans, retracements, and time zones. The general interpretation of the Fibonacci studies involves the anticipation of a change in trend as prices near the lines created by the Fibonacci studies. Arcs The calculation and interpretation of Fibonacci Arcs is similar to that of Fibonacci Fan Lines. First, a trendline is drawn between two extreme points. MetaStock Pro then draws three arcs, centered on the second extreme point, that intersect the trendline drawn between the two extreme points at the Fibonacci levels of 38.2, 50.0, and 61.8. The interpretation of Fibonacci Arcs involves looking for, or anticipating, support and resistance as prices approach the arcs. A common technique is to display both Fibonacci Arcs and Fibonacci Fan Lines and to anticipate supportresistance at the points where the Fibonacci studies cross. The points where the Arcs cross the price data will vary depending on the scaling, because the Arcs are drawn so they always appear circular relative to the computer screen. Fans Fibonacci Fan Lines are displayed by first drawing a trendline between two extreme points. MetaStock Pro then draws an invisible vertical line through the second extreme point. This vertical line is then divided at the Fibonacci levels of 38.2, 50.0, and 61.8. Finally, three trendlines are drawn from the first extreme point so they pass through the invisible vertical line at the above three levels. (This technique is similar to the method used to calculate Speed Resistance Lines.) Retracements Fibonacci Retracements are displayed by first drawing a trendline between two extreme points (i. e. a significant trough and peak). After selecting Fibonacci Retracement from the Insert menu, a series of up to nine horizontal lines will be drawn at the Fibonacci levels of 0.0, 23.6, 38.2, 50.0, 61.8, 100, 161.8, 261.8, and 423.6. After a significant move (either up or down), prices will often rebound and retrace a significant portion (if not all) of the original move. As the price retraces, support and resistance levels will often occur at or near the Fibonacci Retracement levels. Time Zones The Fibonacci Time Zones command displays vertical lines at the Fibonacci intervals of 1, 2, 3, 5, 8, 13, 21, 34, etc. The interpretation of Fibonacci Time Zones involves looking for significant changes in price near the vertical lines. It is beyond the scope of this website to provide a full explanation of Fourier analysis. Further information can be found in Technical Analysis of Stocks amp Commodities magazine (TASC), Volume One issues 2, 4, and 7 Volume Two issue 4 Volume Three issues 2 and 7 (Understanding Cycles) Volume Four issue 6 Volume Five issues 3 (In Search of the Cause of Cycles) and 5 (Cycles and Chart Patterns) and Volume Six issue 11 (Cycles). Fourier Transforms were originally developed as an engineering tool to study repetitious (cyclical) phenomena such as the vibration of a stringed musical instrument or an airplane wing during flight. The complete analysis concept is called spectral analysis. Fast Fourier Transform (FFT) is an abbreviated calculation that computes in seconds rather than minutes. The FFT sacrifices phase relationships and concentrates only on cycle length and amplitude (strength). The benefit of FFT is its ability to extract the predominate cycle(s) from a series of data (e. g. an indicator or a securitys price). FFTs are based on the principal that any finite, time-ordered set of data can be approximated arbitrarily well by decomposing the data into a set of sine waves. Each sine wave has a specific cycle length, amplitude, and phase relationship to the other sine waves. Problems occur when applying FFT analysis to security price data because FFTs were designed to be applied to non-trending, periodic data (whereas security price data tends to be trending). This is overcome by quotdetrendingquot the data using either a linear regression trendline or a moving average. Security data is not truly periodic, since securities are not traded on weekends and some holidays. MetaStock Pro removes these discontinuities by passing the data through a smoothing function called a quothamming window. quot As stated at the beginning of this section, it is beyond the scope of this website to provide complete interpretation of FFT analysis. The remainder of this section explains the interpretation of MetaStock Pro s Interpreted FFT. The Interpreted FFT displays an indicator that shows the three predominate cycle lengths and the relative strength (i. e. the relative amplitudes) of the cycles. The Interpreted FFT indicator is always displayed from the most significant cycle to the least significant cycle. The longer the indicator remains at a specific cycle length, the more predominate it was in the data being analyzed. Once you know the predominate cycle length, you may want to use it as a parameter for other indicators. For moving averages, use 12 of the cycle length for the optimum number of periods. For example, if you know that a security has a 40-day cycle, you may want to plot a 20-day moving average. The MESA Sinewave indicator was developed by recognized cycle specialist John Ehlers. The MESA Sinewave indicator looks like a sinewave when the market is in a cycle mode and tends to wander when the market is in a trend mode. The MESA Sinewave indicator anticipates cycle mode turning points rather than waiting for confirmation as is done with most oscillators. The MESA Sinewave indicator has the additional advantage that trend mode whipsaw signals are minimized. The Sine Wave indicator was introduced in the November 1996 issue of Technical Analysis of Stocks amp Commodities magazine. The MESA Sinewave indicator consists of two plots - one displaying the Sine of the measured phase angle over the time period parameter and the other the Sine of the phase angle advanced by 45 degrees (called the Lead Sine). Together, the crossings of the Sine and Lead Sine plots give clear advanced indication of cycle mode turning points. When the MESA Sinewave indicator resembles an actual sine wave, this suggests the market is in a cycle mode. The indicator lines are not well structured when the market is in a trend mode. A buy signal is given when the Sine plot crosses above the Lead Sine plot. A sell signal is given when the Sine plot crosses below the Lead Sine plot. An obvious advantage that the MESA Sinewave indicator has over its overboughtoversold counterparts is that it enters and exits much more precisely without giving up a piece of the markets movement by waiting for confirmation. When the market is in a trend mode the MESA Sinewave indicator does not resemble a sine wave. In fact, the Sine and Lead Sine plots typically languish in a sideways pattern around zero, running somewhat parallel and distant from each other. The correct trading strategy in the trend mode is to trade the trend. Basic moving average crossovers are helpful for entering and exiting positions in this type of market. The MESA Sinewave indicator is sensitive to using the correct time period parameter. You can use the Cycle Lines line study to estimate the best time period to use.