Diese Strategie ist eine hochgradig anpassbare Kombinationsstrategie mit MACD- und MFI-Indikatoren, die für algorithmische Handelsbots geeignet ist.
Die Strategie verwendet den MACD-Indikator, um die Markttrendrichtung zu bestimmen. Der MACD ist ein trendfolgende Momentum-Indikator, der berechnet wird, indem man den langsamen gleitenden Durchschnitt vom schnellen gleitenden Durchschnitt subtrahiert, um das MACD-Histogramm zu erhalten, und einen EMA des MACD als Signallinie verwendet. Ein Crossover über der Signallinie gibt ein Kaufsignal, während ein Crossing darunter ein Verkaufssignal gibt.
Darüber hinaus wird der MFI-Indikator verwendet, um überkaufte/überverkaufte Mengen auf dem Markt zu messen, indem sowohl Preis- als auch Volumeninformationen berücksichtigt werden.
Um falsche Signale zu filtern, implementiert die Strategie auch einen Trendfilter und einen RSI-Filter. Ein Kaufsignal wird nur generiert, wenn der Preis in einem Aufwärtstrend ist und der RSI unter einem Schwellenwert liegt.
Eine schlechte Einstellung der Parameter kann zu falschen Signalen führen
Verschiedene Parameterkombinationen testen, um optimale Einstellungen zu finden
Parameter sind nicht einheitlich, müssen separat pro Instrument getestet/optimiert werden
Eine hohe Handelsfrequenz erhöht die Kosten und das Risiko von Ausrutschungen
Anpassung der Filter zur Verringerung der Handelsfrequenz
Kosten während des Live-Handels genau überwachen
Dies ist eine hochgradig anpassbare Trend-Folge-Strategie, die sowohl Trend- als auch Momentum-Indikatoren kombiniert, um den Marktzustand zu messen, und effektiv Filtermechanismen zur Risikokontrolle verwendet.
/*backtest start: 2022-12-15 00:00:00 end: 2023-12-21 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //(c) Wunderbit Trading //Modified by Mauricio Zuniga - Trade at your own risk //This script was originally shared on Wunderbit website as a free open source script for the community. (https://help.wundertrading.com/en/articles/5246468-macd-mfi-trading-bot-for-ftx) // //WHAT THIS SCRIPT DOES: // This is a scalping script originally intended to be used on altorightmic bot trading. // This strategy is based on the trend-following momentum indicator. It includes the Money Flow index as an additional point for entry. //HOW IT DOES IT: // It uses a combination of MACD and MFI indicators to create entry signals. Parameters for each indicator have been surfaced for user configurability. // Take profits are fixed, but stop loss uses ATR configuration to minimize losses and close profitably. //HOW IS MY VERSION ORIGINAL: // I started trying to deploy this script myself in my algorithmic tradingg but ran into some issues which I have tried to address in this version. // Delayed Signals : The script has been refactored to use a time frame drop down. The higher time frame can be run on a faster chart (recommended on one minute chart for fastest signal confirmation and relay to algotrading platform. // Repainting Issues : All indicators have been recoded to use the security function that checks to see if the current calculation is in realtime, if it is, then it uses the previous bar for calculation. // If you are still experiencing repainting issues based on intended (or non intended use), please provide a report with screenshot and explanation so I can try to address. // Filtering : I have added to additional filters an ABOVE EMA Filter and a BELOW RSI Filter (both can be turned on and off) // Customizable Long and Clos Messages : This allows someone to use the script for algorithmic trading without having to alter code. It also means you can use one indicator for all of your different alterts required for your bots. //HOW TO USE IT: // Find a pair with high volatility - I have found it works particularly well with 3L and 3S tokens for crypto. although it the limitation is that confrigurations I have found to work typically have low R/R ratio, but very high win rate and profit factor. // Ieally set one minute chart for bots, but you can use other charts for manual trading. The signal will be delayed by one bar but I have found configurations that still test well. // Select a time frame in configuration for your indicator calculations. // I like ot use 5 and 15 minutes for scalping scenarios, but I am interested in hearing back from other community memebers. // Optimize your indicator without filters (trendFilter and RSI Filter) // Use the TrendFilter and RSI Filter to further refine your signals for entry. //@version=4 strategy("Customizable HTF MACD Strategy v1.2", overlay=false, pyramiding=0, commission_type=strategy.commission.percent, commission_value=0.07, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, currency = currency.USD) openlongcomment = "Comment In Here" closelongcomment = "" openshortcomment = "" closeshortcommment = "" //RES res = input(title="Resolution", type=input.resolution, defval="5", group="Strategy", inline="1") comment = input(title="Open Long Comment", type=input.string, defval="",group="Strategy", inline="1") if not(comment == "") openlongcomment := comment // FUNCTIONS Ema(src,p) => ema = 0. sf = 2/(p+1) ema := nz(ema[1] + sf*(src - ema[1]),src) Sma(src,p) => a = cum(src), (a - a[max(p,0)])/max(p,0) Atr(p, res) => atr = 0. highHTF = security(syminfo.tickerid, res, high[barstate.isrealtime ? 1 : 0]) lowHTF = security(syminfo.tickerid, res, low[barstate.isrealtime ? 1 : 0]) closeHTF = security(syminfo.tickerid, res, close[barstate.isrealtime ? 1 : 0]) Tr = max(highHTF - lowHTF, max(abs(highHTF - closeHTF[1]), abs(lowHTF - closeHTF[1]))) atr := nz(atr[1] + (Tr - atr[1])/p,Tr) ribbon_period = input(39, "Period", step=1) htfClose = security(syminfo.tickerid, res, close[barstate.isrealtime ? 1 : 0]) leadLine1 = ema(htfClose, ribbon_period) leadLine2 = sma(htfClose, ribbon_period) // p3 = plot(leadLine1, color= #53b987, title="EMA", transp = 50, linewidth = 1) // p4 = plot(leadLine2, color= #eb4d5c, title="SMA", transp = 50, linewidth = 1) // fill(p3, p4, transp = 60, color = leadLine1 > leadLine2 ? #53b987 : #eb4d5c) //Upward Trend UT=leadLine2 < leadLine1 DT=leadLine2>leadLine1 //FILTER LOGIC aboveTrend = input(true, title="Use Trend", group="Filters", inline='1', type=input.bool) TrendLength = input(3, minval=1, title="Trend MA", group="Filters", inline='1', type=input.integer) aboveTrendFilter = sma(htfClose,TrendLength) useRSI = input(true, title="Use RSI", group="Filters", inline='2', type=input.bool) RSILength = input(34, minval=1, title="RSI Length", group="Filters", inline='2') // used to calculate RSI belowRSIFilter = input(50, minval=1, title="Buy Below RSI Filter", group="Filters", inline='2') // only buy if its below this RSI - doesn't seem to work as expected rsi = rsi(htfClose,RSILength) if not(useRSI) belowRSIFilter = 100 if not(aboveTrend) aboveTrendFilter = -1 // MACD fast_length = input(title="Fast Length", type=input.integer, defval=7) slow_length = input(title="Slow Length", type=input.integer, defval=23) src = input(title="Source", type=input.source, defval=close) signal_length = input(title="Signal Smoothing", type=input.integer, minval = 1, maxval = 50, defval = 10) sma_source = input(title="Simple MA(Oscillator)", type=input.bool, defval=false) sma_signal = input(title="Simple MA(Signal Line)", type=input.bool, defval=false) // Plot colors col_grow_above = #26A69A col_grow_below = #FFCDD2 col_fall_above = #B2DFDB col_fall_below = #EF5350 col_macd = #0094ff col_signal = #ff6a00 srcHTF = security(syminfo.tickerid, res, src[barstate.isrealtime ? 1 : 0]) // Calculating fast_ma = sma_source ? Sma(srcHTF, fast_length) : Ema(srcHTF, fast_length) slow_ma = sma_source ? Sma(srcHTF, slow_length) : Ema(srcHTF, slow_length) macd = fast_ma - slow_ma signal = sma_signal ? Sma(macd, signal_length) : Ema(macd, signal_length) hist = macd - signal //plot(hist, title="Histogram", style=plot.style_columns, color=(hist>=0 ? (hist[1] < hist ? col_grow_above : col_fall_above) : (hist[1] < hist ? col_grow_below : col_fall_below) ), transp=0 ) plot(macd, title="MACD", color=col_macd, transp=0) plot(signal, title="Signal", color=col_signal, transp=0) /// MFI MFIsource = hlc3 sourceHTF = security(syminfo.tickerid, res, MFIsource[barstate.isrealtime ? 1 : 0]) length = input(15, minval=1) lower = input(12, minval=0, maxval=50) upper = input(80, minval=50, maxval=100) // DrawMFI_f=input(true, title="Draw MFI?", type=bool) HighlightBreaches=input(true, title="Highlight Oversold/Overbought?") volumeHTF = security(syminfo.tickerid, res, volume[barstate.isrealtime ? 1 : 0]) // MFI upper_s = sum(volumeHTF * (change(sourceHTF) <= 0 ? 0 : sourceHTF), length) lower_s = sum(volumeHTF * (change(sourceHTF) >= 0 ? 0 : sourceHTF), length) mf = rsi(upper_s, lower_s) mfp = plot(mf, color=color.new(color.gray,0), linewidth=1) top = hline(upper, color=color.new(color.gray, 100), linewidth=1, editable=false) bottom = hline(lower, color=color.new(color.gray,100), linewidth=1, editable=false) hline(0, color=color.new(color.black,100), editable=false) hline(100, color=color.new(color.black,100), editable=false) // Breaches b_color = (mf > upper) ? color.new(color.red,70) : (mf < lower) ? color.new(color.green,60) : na bgcolor(HighlightBreaches ? b_color : na) fill(top, bottom, color=color.gray, transp=75) // TAKE PROFIT AND STOP LOSS long_tp1_inp = input(1, title='Long Take Profit 1 %', step=0.1)/100 long_tp1_qty = input(20, title="Long Take Profit 1 Qty", step=1) long_trailing = input(1.3, title='Trailing Stop Long', step=0.1) / 100 long_take_level_1 = strategy.position_avg_price * (1 + long_tp1_inp) // Stop Loss multiplier = input(2, "SL Mutiplier", minval=1, step=0.1) ATR_period=input(40,"ATR period", minval=1, step=1) // Strategy entry_long=(crossover(macd,signal) or (crossover(mf,lower) and leadLine2 < leadLine1)) and rsi < belowRSIFilter and close > aboveTrendFilter entry_price_long=valuewhen(entry_long,close,0) //SL_floating_long = entry_price_long -( (entry_price_long)*multiplier/100)//*Atr(ATR_period,res) //SL_floating_long = entry_price_long - multiplier*Atr(ATR_period,res) SL_floating_long = entry_price_long - multiplier*Atr(ATR_period,res) exit_long= close < SL_floating_long ///// BACKTEST PERIOD /////// testStartYear = input(2018, "Backtest Start Year") testStartMonth = input(1, "Backtest Start Month") testStartDay = input(1, "Backtest Start Day") testPeriodStart = timestamp(testStartYear, testStartMonth, testStartDay, 0, 0) testStopYear = input(9999, "Backtest Stop Year") testStopMonth = input(12, "Backtest Stop Month") testStopDay = input(31, "Backtest Stop Day") testPeriodStop = timestamp(testStopYear, testStopMonth, testStopDay, 0, 0) testPeriod() => time >= testPeriodStart and time <= testPeriodStop ? true : false if testPeriod() if UT strategy.entry("long", strategy.long, when=entry_long == true, comment=openlongcomment) strategy.exit("TP1","long", qty_percent=long_tp1_qty, limit=long_take_level_1) strategy.exit("Trail stop","long", comment=closelongcomment, trail_points=entry_price_long * long_trailing / syminfo.mintick, trail_offset=entry_price_long * long_trailing / syminfo.mintick) strategy.close("long", exit_long == true, comment=closelongcomment )