Diese Strategie identifiziert Orderblöcke in der Preisbewegung, um Momentum-Bursts zu lokalisieren, und tritt in den Markt ein, wenn Kauf-/Verkaufssignale auftauchen. Orderblöcke repräsentieren institutionelle Beteiligung und signifikante Marktkräfte.
Es gibt zwei Arten von Auftragsblöcken - bullisch und bärisch. Ein bullischer Auftragsblock ist definiert als die letzte rote Kerze, gefolgt von aufeinanderfolgenden grünen Kerzen. Ein bärischer Auftragsblock ist die letzte grüne Kerze, gefolgt von aufeinanderfolgenden roten Kerzen.
Um einen Auftragsblock zu ermitteln, müssen gleichzeitig folgende Kriterien erfüllt sein:
Die Farbe der Kerze ändert sich von der vorherigen zu der aktuellen (z. B. von rot zu grün oder von grün zu rot). Dies deutet darauf hin, dass Institutionen den vorherigen Trend beenden und einen neuen potenziellen Trend einleiten.
Konsistente Richtung nachträglich - Die nachfolgenden Kerzen halten die gleiche Farbrichtung für die Anzahl der in den Parametern angegebenen Perioden (z. B. alle grünen Kerzen nach einem potenziellen bullischen Block). Dies bestätigt den neuen Trend.
Breakout überschreitet Schwellenwert - Die prozentuale Preisänderung von der Öffnung der Orderblockkerze bis zum Schließen der endgültigen Bestätigungskerze überschreitet den Schwellenwert (Standard 0). Dies stellt eine ausreichend starke Dynamik sicher.
Wenn alle drei Kriterien zutreffen, wird ein Auftragsblocksignal ermittelt.
Ein Kaufsignal wird erzeugt, wenn ein bullischer Auftragsblock erkannt wird. Ein Verkaufssignal entsteht, wenn ein bärischer Auftragsblock identifiziert wird.
Angesichts der Unsicherheit der Auftragsströmungssignale tritt die Strategie nicht sofort in den Markt ein. Sie warnt den Händler und ermöglicht stattdessen die Platzierung von Preislimit-Orders in der Nähe der Auftragsblockniveaus. Dies ermöglicht kontrollierte Einträge und Risikomanagement.
Die Orderblöcke stellen institutionellen Geldfluss und erhebliches Volumen dar. Sie zeigen Veränderungen der Marktkräfte an und liefern frühe Hinweise auf eine mögliche Ausbruchrichtung. Dies erleichtert es, dem Trend mit gutem Timing zu folgen.
Die Parameter, die die Anzahl der Kerzen, den Ausbruchsprozentsatz usw. steuern, können so angepasst werden, dass sie sich an die sich ändernden Marktbedingungen und den Handelsstil anpassen.
Durch die nicht automatische Eingabe von Signalen und die Verwendung von Limit-Orders können Händler Eingangsniveaus definieren und das Risiko kontrollieren.
Da Auftragsblöcke Zonen kennzeichnen, ist es üblich, dass die Preise das Niveau erneut überprüfen.
Wenn die Parameter nicht ordnungsgemäß eingestellt sind, können in den Bereichsmärkten gefälschte Signale auftreten. Händler müssen bei der Anwendung von Signalen diskretionär sein. Blinde Optimierung sollte vermieden werden.
Bei jedem Signal, das eine weitere Validierung erfordert, sind erhebliche manuelle Anstrengungen erforderlich.
Fügen Sie zusätzliche Indikatoren wie MACD und RSI ein, wenn Signale Marktbedingungen messen. Dies filtert schlechte Signale aus schlechten Parameter-Einstellungen.
Die Parameter können getestet und angepasst werden, um auf verschiedene Märkte und Instrumente für eine bessere Passform zu passen.
Derzeit dient die Strategie nur als Signalwarnungen. Logiken können hinzugefügt werden, um Limit-Order-Einträge auf Signalen zu automatisieren und Stopps für Ausgänge zu implementieren. Dies erhöht die Automatisierung und reduziert die Abhängigkeit von menschlichem Urteilsvermögen.
Durch die Erkennung der Konvergenz des Auftragsflusses enthüllt diese Strategie versteckte Schwungbewegungen, die sich unter der Oberfläche abspielen. Im Vergleich zum einfachen Trendverfolgen hat sie vorausschauende Fähigkeiten bei der Lokalisierung von Wendepunkten. In Kombination mit Optimierungs- und Risikokontrolltechniken kann sie zu einem effektiven Trendhandelssystem werden. Trotzdem sollten Händler sich vor schlechten Signalen hüten und die Qualität jedes Signals bewerten. Weitere Bemühungen sollten sich auf die Verbesserung der Automatisierung konzentrieren, um Verzerrungen aus subjektiver Diskretion zu minimieren.
/*backtest start: 2024-01-01 00:00:00 end: 2024-01-31 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © TradingSecrets and wugamlo // This experimental Indicator helps identifying instituational Order Blocks. // Often these blocks signal the beginning of a strong move, but there is a significant probability that these price levels will be revisited at a later point in time again. // Therefore these are interesting levels to place limit orders (Buy Orders for Bullish OB / Sell Orders for Bearish OB). // // A Bullish Order block is defined as the last down candle before a sequence of up candles. (Relevant price range "Open" to "Low" is marked) / Optionally full range "High" to "Low" // A Bearish Order Block is defined as the last up candle before a sequence of down candles. (Relevant price range "Open" to "High" is marked) / Optionally full range "High" to "Low" // // In the settings the number of required sequential candles can be adjusted. // Furthermore a %-threshold can be entered. It defines which %-change the sequential move needs to achieve in order to identify a relevant Order Block. // Channels for the last Bullish/Bearish Block can be shown/hidden. // // In addition to the upper/lower limits of each Order Block, also the equlibrium (average value) is marked as this is an interesting area for price interaction. // // Alerts added: Alerts fire when an Order Block is detected. The delay is based on the "Relevant Periods" input. Means with the default setting "5" the alert will trigger after the // number of consecutive candles is reached. //@version=4 strategy("[Backtest] Order Block Finder", overlay = true) colors = input(title = "Color Scheme", defval="DARK", options=["DARK", "BRIGHT"]) periods = input(5, "Relevant Periods to identify OB") // Required number of subsequent candles in the same direction to identify Order Block threshold = input(0.0, "Min. Percent move to identify OB", step = 0.1) // Required minimum % move (from potential OB close to last subsequent candle to identify Order Block) usewicks = input(false, "Use whole range [High/Low] for OB marking?" ) // Display High/Low range for each OB instead of Open/Low for Bullish / Open/High for Bearish showbull = input(false, "Show latest Bullish Channel?") // Show Channel for latest Bullish OB? showbear = input(false, "Show latest Bearish Channel?") // Show Channel for latest Bearish OB? showdocu = input(false, "Show Label for documentation tooltip?") // Show Label which shows documentation as tooltip? info_pan = input(false, "Show Latest OB Panel?") // Show Info Panel with latest OB Stats //strategy inputs plot_offset = input( type=input.bool,defval = false, title = 'Plot Offset?') stoploss_percent = input(type=input.float, defval = 1, title = 'Stop Loss [%]') takeprofit_percent = input(type=input.float, defval = 2, title = 'Take Profit [%]') pyramiding = input( type=input.bool,defval = true, title = 'Pyramiding') ob_period = periods + 1 // Identify location of relevant Order Block candle absmove = ((abs(close[ob_period] - close[1]))/close[ob_period]) * 100 // Calculate absolute percent move from potential OB to last candle of subsequent candles relmove = absmove >= threshold // Identify "Relevant move" by comparing the absolute move to the threshold // Color Scheme bullcolor = colors == "DARK"? color.white : color.green bearcolor = colors == "DARK"? color.blue : color.red // Bullish Order Block Identification bullishOB = close[ob_period] < open[ob_period] // Determine potential Bullish OB candle (red candle) int upcandles = 0 for i = 1 to periods upcandles := upcandles + (close[i] > open[i]? 1 : 0) // Determine color of subsequent candles (must all be green to identify a valid Bearish OB) OB_bull = bullishOB and (upcandles == (periods)) and relmove // Identification logic (red OB candle & subsequent green candles) OB_bull_high = OB_bull? usewicks? high[ob_period] : open[ob_period] : na // Determine OB upper limit (Open or High depending on input) OB_bull_low = OB_bull? low[ob_period] : na // Determine OB lower limit (Low) OB_bull_avg = (OB_bull_high + OB_bull_low)/2 // Determine OB middle line // Bearish Order Block Identification bearishOB = close[ob_period] > open[ob_period] // Determine potential Bearish OB candle (green candle) int downcandles = 0 for i = 1 to periods downcandles := downcandles + (close[i] < open[i]? 1 : 0) // Determine color of subsequent candles (must all be red to identify a valid Bearish OB) OB_bear = bearishOB and (downcandles == (periods)) and relmove // Identification logic (green OB candle & subsequent green candles) OB_bear_high = OB_bear? high[ob_period] : na // Determine OB upper limit (High) OB_bear_low = OB_bear? usewicks? low[ob_period] : open[ob_period] : na // Determine OB lower limit (Open or Low depending on input) OB_bear_avg = (OB_bear_low + OB_bear_high)/2 // Determine OB middle line //@TradingSecrets: Option to disable the offset in order to allign signals with Backtest if not plot_offset ob_period := 0 // Plotting plotshape(OB_bull, title="Bullish OB", style = shape.triangleup, color = bullcolor, textcolor = bullcolor, size = size.tiny, location = location.belowbar, offset = -ob_period, text = "Bullish OB") // Bullish OB Indicator bull1 = plot(OB_bull_high, title="Bullish OB High", style = plot.style_linebr, color = bullcolor, offset = -ob_period, linewidth = 3) // Bullish OB Upper Limit bull2 = plot(OB_bull_low, title="Bullish OB Low", style = plot.style_linebr, color = bullcolor, offset = -ob_period, linewidth = 3) // Bullish OB Lower Limit fill(bull1, bull2, color=bullcolor, transp = 0, title = "Bullish OB fill") // Fill Bullish OB plotshape(OB_bull_avg, title="Bullish OB Average", style = shape.cross, color = bullcolor, size = size.normal, location = location.absolute, offset = -ob_period) // Bullish OB Average plotshape(OB_bear, title="Bearish OB", style = shape.triangledown, color = bearcolor, textcolor = bearcolor, size = size.tiny, location = location.abovebar, offset = -ob_period, text = "Bearish OB") // Bearish OB Indicator bear1 = plot(OB_bear_low, title="Bearish OB Low", style = plot.style_linebr, color = bearcolor, offset = -ob_period, linewidth = 3) // Bearish OB Lower Limit bear2 = plot(OB_bear_high, title="Bearish OB High", style = plot.style_linebr, color = bearcolor, offset = -ob_period, linewidth = 3) // Bearish OB Upper Limit fill(bear1, bear2, color=bearcolor, transp = 0, title = "Bearish OB fill") // Fill Bearish OB plotshape(OB_bear_avg, title="Bearish OB Average", style = shape.cross, color = bearcolor, size = size.normal, location = location.absolute, offset = -ob_period) // Bullish OB Average var line linebull1 = na // Bullish OB average var line linebull2 = na // Bullish OB open var line linebull3 = na // Bullish OB low var line linebear1 = na // Bearish OB average var line linebear2 = na // Bearish OB high var line linebear3 = na // Bearish OB open if OB_bull and showbull line.delete(linebull1) linebull1 := line.new(x1 = bar_index, y1 = OB_bull_avg, x2 = bar_index - 1, y2 = OB_bull_avg, extend = extend.left, color = bullcolor, style = line.style_solid, width = 1) line.delete(linebull2) linebull2 := line.new(x1 = bar_index, y1 = OB_bull_high, x2 = bar_index - 1, y2 = OB_bull_high, extend = extend.left, color = bullcolor, style = line.style_dashed, width = 1) line.delete(linebull3) linebull3 := line.new(x1 = bar_index, y1 = OB_bull_low, x2 = bar_index - 1, y2 = OB_bull_low, extend = extend.left, color = bullcolor, style = line.style_dashed, width = 1) if OB_bear and showbear line.delete(linebear1) linebear1 := line.new(x1 = bar_index, y1 = OB_bear_avg, x2 = bar_index - 1, y2 = OB_bear_avg, extend = extend.left, color = bearcolor, style = line.style_solid, width = 1) line.delete(linebear2) linebear2 := line.new(x1 = bar_index, y1 = OB_bear_high, x2 = bar_index - 1, y2 = OB_bear_high, extend = extend.left, color = bearcolor, style = line.style_dashed, width = 1) line.delete(linebear3) linebear3 := line.new(x1 = bar_index, y1 = OB_bear_low, x2 = bar_index - 1, y2 = OB_bear_low, extend = extend.left, color = bearcolor, style = line.style_dashed, width = 1) // Alerts for Order Blocks Detection alertcondition(OB_bull, title='New Bullish OB detected', message='New Bullish OB detected - This is NOT a BUY signal!') alertcondition(OB_bear, title='New Bearish OB detected', message='New Bearish OB detected - This is NOT a SELL signal!') // Print latest Order Blocks in Data Window var latest_bull_high = 0.0 // Variable to keep latest Bull OB high var latest_bull_avg = 0.0 // Variable to keep latest Bull OB average var latest_bull_low = 0.0 // Variable to keep latest Bull OB low var latest_bear_high = 0.0 // Variable to keep latest Bear OB high var latest_bear_avg = 0.0 // Variable to keep latest Bear OB average var latest_bear_low = 0.0 // Variable to keep latest Bear OB low // Assign latest values to variables if OB_bull_high > 0 latest_bull_high := OB_bull_high if OB_bull_avg > 0 latest_bull_avg := OB_bull_avg if OB_bull_low > 0 latest_bull_low := OB_bull_low if OB_bear_high > 0 latest_bear_high := OB_bear_high if OB_bear_avg > 0 latest_bear_avg := OB_bear_avg if OB_bear_low > 0 latest_bear_low := OB_bear_low // Plot invisible characters to be able to show the values in the Data Window plotchar(latest_bull_high, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bull High") plotchar(latest_bull_avg, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bull Avg") plotchar(latest_bull_low, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bull Low") plotchar(latest_bear_high, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bear High") plotchar(latest_bear_avg, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bear Avg") plotchar(latest_bear_low, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bear Low") //InfoPanel for latest Order Blocks draw_InfoPanel(_text, _x, _y, font_size)=> var label la_panel = na label.delete(la_panel) la_panel := label.new( x=_x, y=_y, text=_text, xloc=xloc.bar_time, yloc=yloc.price, color=color.new(#383838, 5), style=label.style_label_left, textcolor=color.white, size=font_size) info_panel_x = time_close + round(change(time) * 100) info_panel_y = close title = "LATEST ORDER BLOCKS" row0 = "-----------------------------------------------------" row1 = ' Bullish - High: ' + tostring(latest_bull_high, '#.##') row2 = ' Bullish - Avg: ' + tostring(latest_bull_avg, '#.##') row3 = ' Bullish - Low: ' + tostring(latest_bull_low, '#.##') row4 = "-----------------------------------------------------" row5 = ' Bearish - High: ' + tostring(latest_bear_high, '#.##') row6 = ' Bearish - Avg: ' + tostring(latest_bear_avg, '#.##') row7 = ' Bearish - Low: ' + tostring(latest_bear_low, '#.##') panel_text = '\n' + title + '\n' + row0 + '\n' + row1 + '\n' + row2 + '\n' + row3 + '\n' + row4 + '\n\n' + row5 + '\n' + row6 + '\n' + row7 + '\n' if info_pan draw_InfoPanel(panel_text, info_panel_x, info_panel_y, size.normal) // === Label for Documentation/Tooltip === chper = time - time[1] chper := change(chper) > 0 ? chper[1] : chper // === Tooltip text === var vartooltip = "Indicator to help identifying instituational Order Blocks. Often these blocks signal the beginning of a strong move, but there is a high probability, that these prices will be revisited at a later point in time again and therefore are interesting levels to place limit orders. \nBullish Order block is the last down candle before a sequence of up candles. \nBearish Order Block is the last up candle before a sequence of down candles. \nIn the settings the number of required sequential candles can be adjusted. \nFurthermore a %-threshold can be entered which the sequential move needs to achieve in order to validate a relevant Order Block. \nChannels for the last Bullish/Bearish Block can be shown/hidden." // === Print Label === var label l_docu = na label.delete(l_docu) if showdocu l_docu := label.new(x = time + chper * 35, y = close, text = "DOCU OB", color=color.gray, textcolor=color.white, style=label.style_label_center, xloc = xloc.bar_time, yloc=yloc.price, size=size.tiny, textalign = text.align_left, tooltip = vartooltip) // @TradingSecrets: Generate entry and exit orders based on the signals entryLongSignal = OB_bull entryShortSignal = OB_bear if not pyramiding entryLongSignal := entryLongSignal and not strategy.position_size entryShortSignal := entryShortSignal and not strategy.position_size if entryLongSignal strategy.entry("Long Entry", strategy.long) //strategy.exit("Long Exit Loss", "Long Entry", stop = close * (1 - stoploss_percent*0.01)) if entryShortSignal strategy.entry("Short Entry", strategy.short) //strategy.exit("Short Exit Loss", "Short Entry", stop = close * (1 + stoploss_percent*0.01)) strategy.initial_capital = 50000 //Close Position by market order if strategy.position_size > 0 and strategy.openprofit/nz(strategy.initial_capital + strategy.netprofit) >= takeprofit_percent*0.01 //If I m in a long position and my take profit got hit close it by market order strategy.close("Long Entry", comment = "Long Exit Profit") if strategy.position_size < 0 and strategy.openprofit/nz(strategy.initial_capital + strategy.netprofit) >= takeprofit_percent*0.01 strategy.close("Short Entry", comment = "Short Exit Profit") if strategy.position_size > 0 and strategy.openprofit/nz(strategy.initial_capital + strategy.netprofit) <= -stoploss_percent*0.01 //If I m in a long position and my take profit got hit close it by market order strategy.close("Long Entry", comment = "Long Exit Loss") if strategy.position_size < 0 and strategy.openprofit/nz(strategy.initial_capital + strategy.netprofit) <= -stoploss_percent*0.01 strategy.close("Short Entry", comment = "Short Exit Loss")