এই কৌশলটি বর্তমান প্রবণতা দিক নির্ধারণের জন্য দ্বৈত ইএমএ সূচকগুলির সোনার ক্রস এবং মৃত্যুর ক্রস ব্যবহার করে এবং হারানো কেনার এবং বিক্রির সুযোগগুলি এড়ানোর জন্য আরএসআই সূচককে একত্রিত করে। এটি একটি সাধারণ প্রবণতা ট্র্যাকিং কৌশল।
/*backtest start: 2023-12-21 00:00:00 end: 2023-12-28 00:00:00 period: 2h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=4 strategy(title='[STRATEGY][RS]MicuRobert EMA cross V1', shorttitle='S', overlay=true, pyramiding=0, initial_capital=100000) USE_TRADESESSION = input(title='Use Trading Session?', type=bool, defval=true) USE_TRAILINGSTOP = input(title='Use Trailing Stop?', type=bool, defval=true) trade_session = input(title='Trade Session:', defval='0400-1500', confirm=false) istradingsession = not USE_TRADESESSION ? false : not na(time('1', trade_session)) bgcolor(istradingsession?color.gray:na) trade_size = input(title='Trade Size:', type=float, defval=1) tp = input(title='Take profit in pips:', type=float, defval=55.0) * (syminfo.mintick*10) sl = input(title='Stop loss in pips:', type=float, defval=11.0) * (syminfo.mintick*10) ma_length00 = input(title='EMA length:', defval=10) ma_length01 = input(title='DEMA length:', defval=20) price = input(title='Price source:', defval=open) // ||--- NO LAG EMA, Credit LazyBear: ---|| f_LB_zlema(_src, _length)=> _ema1=ema(_src, _length) _ema2=ema(_ema1, _length) _d=_ema1-_ema2 _zlema=_ema1+_d // ||-------------------------------------|| ma00 = f_LB_zlema(price, ma_length00) ma01 = f_LB_zlema(price, ma_length01) plot(title='M0', series=ma00, color=black) plot(title='M1', series=ma01, color=black) isnewbuy = change(strategy.position_size)>0 and change(strategy.opentrades)>0 isnewsel = change(strategy.position_size)<0 and change(strategy.opentrades)>0 buy_entry_price = isnewbuy ? price : buy_entry_price[1] sel_entry_price = isnewsel ? price : sel_entry_price[1] plot(title='BE', series=buy_entry_price, style=circles, color=strategy.position_size <= 0 ? na : aqua) plot(title='SE', series=sel_entry_price, style=circles, color=strategy.position_size >= 0 ? na : aqua) buy_appex = na(buy_appex[1]) ? price : isnewbuy ? high : high >= buy_appex[1] ? high : buy_appex[1] sel_appex = na(sel_appex[1]) ? price : isnewsel ? low : low <= sel_appex[1] ? low : sel_appex[1] plot(title='BA', series=buy_appex, style=circles, color=strategy.position_size <= 0 ? na : teal) plot(title='SA', series=sel_appex, style=circles, color=strategy.position_size >= 0 ? na : teal) buy_ts = buy_appex - sl sel_ts = sel_appex + sl plot(title='Bts', series=buy_ts, style=circles, color=strategy.position_size <= 0 ? na : red) plot(title='Sts', series=sel_ts, style=circles, color=strategy.position_size >= 0 ? na : red) buy_cond1 = crossover(ma00, ma01) and (USE_TRADESESSION ? istradingsession : true) buy_cond0 = crossover(price, ma00) and ma00 > ma01 and (USE_TRADESESSION ? istradingsession : true) buy_entry = buy_cond1 or buy_cond0 buy_close = (not USE_TRAILINGSTOP ? false : low <= buy_ts) or high>=buy_entry_price+tp//high>=last_traded_price + tp or low<=last_traded_price - sl //high >= hh or sel_cond1 = crossunder(ma00, ma01) and (USE_TRADESESSION ? istradingsession : true) sel_cond0 = crossunder(price, ma00) and ma00 < ma01 and (USE_TRADESESSION ? istradingsession : true) sel_entry = sel_cond1 or sel_cond0 sel_close = (not USE_TRAILINGSTOP ? false : high >= sel_ts) or low<=sel_entry_price-tp//low<=last_traded_price - tp or high>=last_traded_price + sl //low <= ll or strategy.entry('buy', long=strategy.long, qty=trade_size, comment='buy', when=buy_entry) strategy.close('buy', when=buy_close) strategy.entry('sell', long=strategy.short, qty=trade_size, comment='sell', when=sel_entry) strategy.close('sell', when=sel_close) //What i add .! pos = iff(ma01 < ma00 , 1, iff(ma01 > ma00 , -1, nz(pos[1], 0))) barcolor(pos == -1 ? red: pos == 1 ? green : blue) plot(ma00, color=red, title="MA") plot(ma01, color=blue, title="EMA")