Cette stratégie utilise le MACD sur des délais plus longs (par exemple quotidien) pour le biais de tendance et les transactions sur des délais plus courts (par exemple 5 minutes) pour l'exécution.
La logique de la stratégie:
Calculer le MACD sur une période plus longue pour l'orientation générale de la tendance.
Entrer dans les transactions sur une période inférieure lorsque le MACD franchit la ligne de signal.
Ajouter les IFM surachetées/survendues pour une confirmation supplémentaire du signal.
Utilisez des arrêts et des bénéfices pour la gestion des risques.
Optimisez les paramètres pour une plus grande stabilité.
Les avantages:
L'analyse croisée des périodes filtre le bruit à court terme.
Les IFM aident à éviter les faux signaux et améliorent l'exactitude.
Le système de stop loss/take profit contrôle les risques commerciaux uniques.
Les risques:
Les opérations interpériodiques sont retardées, les meilleures entrées manquant potentiellement.
Le MACD et l'IFM peuvent donner de faux signaux, il faut être prudent.
Une gestion stricte des risques est nécessaire pour compenser les risques liés à l'utilisation de la scie.
En résumé, cette approche utilise le MACD interpériodique pour le biais et les IFM pour le filtrage, en échangeant des délais plus courts pour la stabilité.
/*backtest
start: 2022-09-11 00:00:00
end: 2023-01-18 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://www.tradingview.com/u/Wunderbit/)
//
//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 v1.5", overlay=false, pyramiding=0, commission_type=strategy.commission.percent, commission_value=0.08, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, currency = currency.USD, calc_on_every_tick=true)
openlongcomment = "Comment In Here"
closelongcomment = ""
openshortcomment = ""
closeshortcommment = ""
//RES
res = input(title="Resolution", type=input.resolution, defval="5", group="Strategy", inline="1")
ribbon_period = input(19, "Period", step=1, group="Strategy", inline="1")
olc = input(title="Open Long Comment", type=input.string, defval="",group="Strategy", inline="2")
clc = input(title="Close Long Comment", type=input.string, defval="",group="Strategy", inline="2")
if not(olc == "")
openlongcomment := olc
if not(clc == "")
closelongcomment := clc
// 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)
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
// MACD
fast_length = input(title="Fast Length", type=input.integer, defval=7, group="MACD", inline='1')
slow_length = input(title="Slow Length", type=input.integer, defval=23, group="MACD", inline='1')
signal_length = input(title="Signal Smoothing", type=input.integer, minval = 1, maxval = 50, defval = 10, group="MACD", inline='2')
src = input(title="Source", type=input.source, defval=close, group="MACD", group="MACD", inline='2')
sma_source = input(title="Simple MA(Oscillator)", type=input.bool, defval=false, group="MACD", inline='3')
sma_signal = input(title="Simple MA(Signal Line)", type=input.bool, defval=false, group="MACD", inline='3')
// 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
MFTsourceHTF = security(syminfo.tickerid, res, MFIsource[barstate.isrealtime ? 1 : 0])
length = input(15, minval=1, group="MFI", inline='1' )
lower = input(12, minval=0, maxval=50, group="MFI", inline='1')
upper = input(80, minval=50, maxval=100, group="MFI", inline='1')
// 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(MFTsourceHTF) <= 0 ? 0 : MFTsourceHTF), length)
lower_s = sum(volumeHTF * (change(MFTsourceHTF) >= 0 ? 0 : MFTsourceHTF), 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)
//DEPRACATED
// TAKE PROFIT AND STOP LOSS
//useTP1 = input(false, title="Use TPI", group="TP/SL", inline='1', type=input.bool)
//long_tp1_inp = input(1, title='Long TP 1 %', step=0.1, group="TP/SL", inline='1')/100
//long_tp1_qty = input(20, title="Long TP 1 Qty", step=1, group="TP/SL", inline='1')
//traling profit after goal
useTP1 = false //these are defined because of depracation above
long_tp1_inp = 6 //these are defined because of depracation above
long_tp1_qty = 100 //these are defined because of depracation above
enableTrailing = input(defval = true, title = 'Enable Trailing', type=input.bool, tooltip = 'Enable or disable the trailing for take profit.', group = 'Trailing Profit',inline='1')
longTakeProfitPerc = input(title="Long TP (%)", type=input.float, minval=0.0, step=0.1, defval=4, group = 'Trailing Profit', inline='1') * 0.01
trailingTakeProfitDeviationPerc = input(defval = 0.5, title = 'TTP Dev %%', type=input.float, minval = 0.01, maxval = 100, step = 0.1, tooltip = 'The step to follow the price when the take profit limit is reached.', group = 'Trailing Profit', inline='1') / 100
//DEPRACATED
long_trailing =1.3 // input(1.3, title='Trailing Stop', step=0.1, group="TP/SL", inline='1', tooltip="") / 100
long_take_level_1 = strategy.position_avg_price * (1 + long_tp1_inp)
longTPPrice = strategy.position_avg_price * (1 + longTakeProfitPerc)
longLossPerc = input(8, title="Fixed SL (%)", type=input.float, minval=0.0, step=0.1, defval=1, tooltip="Use 100 to turn off - Stop loss % even if ATR did not catch it") * 0.01
longStopPrice = strategy.position_avg_price * (1 - longLossPerc)
//DEPRACATED
// Stop Loss DEPRACATD
multiplier = 2 //input(2, "SL Mult", minval=1, step=0.1, group="TP/SL", inline='2')
ATR_period= 40 //input(40,"ATR Pd", minval=1, step=1, group="TP/SL", inline='2')
//DEPRACATED
//FILTER LOGIC
//Display numbers
showData = input(false, title="Show Data", group="Filters", inline='3', type=input.bool, tooltip="Use this to help see numbers and help set filters")
//Only trade above this MA
aboveTrend = input(false, title="Use Trend", group="Filters", inline='1', type=input.bool)
TrendLength = input(3, minval=1, title="Trend EMA", group="Filters", inline='1', type=input.integer)
aboveTrendFilter = ema(htfClose,TrendLength)
useRSI = input(false, 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)
//Filter via min ATR so you can make sure that there is enough volatility to make a profitable trade
minATR = input(0, title="Min ATR", type=input.float, minval=0.0, step=0.001, defval=1, tooltip="Use 0 to turn off - can remove periods of low volatility where less likely profitable")
if not(useRSI)
belowRSIFilter := 100
if not(aboveTrend)
aboveTrendFilter := 0 //should never have 0 moving average so should always be above
atr = Atr(ATR_period,res)
//show actual numbers
if bar_index % 25 == 0 and showData
label.new(bar_index, na, "RSI = " + tostring(rsi, format.mintick) + "\nATR = "+ tostring(atr, format.mintick), yloc = yloc.abovebar, style = label.style_none, textcolor = color.white, size = size.normal)
// Strategy
entry_long=(crossover(macd,signal) or (crossover(mf,lower) and leadLine2 < leadLine1)) and rsi < belowRSIFilter and close > aboveTrendFilter and atr > minATR
entry_price_long=valuewhen(entry_long,high,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
exit_long= close < SL_floating_long or close < longStopPrice
bool longIsActive = entry_long or strategy.position_size > 0
// LOGIC for Trailing Profit ============================================================================================================
float longTakeProfitPrice = na
longTakeProfitPrice := if longIsActive
if entry_long and not (strategy.position_size > 0)
close * (1 + longTakeProfitPerc)
else
nz(longTakeProfitPrice[1], close * (1 + longTakeProfitPerc))
else
na
longTrailingTakeProfitStepTicks = longTakeProfitPrice * trailingTakeProfitDeviationPerc / syminfo.mintick
var takeProfitColor = color.new(#419388, 0)
plot(series = longTakeProfitPrice, title = 'Long Take Profit', color = takeProfitColor, linewidth = 1, style = plot.style_linebr, offset = 1)
///// BACKTEST PERIOD ///////
testStartYear = input(2018, "Fr Year", group="Backtest", inline="1")
testStartMonth = input(1, "Fr Month", group="Backtest", inline="1")
testStartDay = input(1, "Fr Day", group="Backtest", inline="1")
testPeriodStart = timestamp(testStartYear, testStartMonth, testStartDay, 0, 0)
testStopYear = input(9999, "To Year", group="Backtest", inline="2")
testStopMonth = input(12, "To Month", group="Backtest", inline="2")
testStopDay = input(31, "To Day", group="Backtest", inline="2")
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)
if (useTP1)
strategy.exit("TP1","long", qty_percent=long_tp1_qty, limit=long_take_level_1)
//if (strategy.position_size > 0)
if (strategy.position_size > 0) and close > longTPPrice
//strategy.exit(id="long", profit = longTPPrice, comment=closelongcomment)
// submit exit orders for trailing take profit price
strategy.exit(id = 'Long Trailing Profit', from_entry = 'long', comment=closelongcomment, limit = enableTrailing ? na : longTakeProfitPrice, trail_price = enableTrailing ? longTakeProfitPrice : na, trail_offset = enableTrailing ? longTrailingTakeProfitStepTicks : na, when = longIsActive, alert_message = 'Long(' + syminfo.ticker + '): Take Profit activated')
strategy.exit("ATR 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 )