MTF RSI STOCH Strategy

This sharing is an indicator where you can see the average of different time frames. The RSI is the blue line The Stock is the yellow line You can manage the timeframe in the parameters. The strategy is to take…

Pine ScriptMulti-timeframe Mean reversion RSI SMA Stochastic

Author: ChaoZhang
Complexity: Intermediate · 112 lines
Parameters: 15
Backtest bar: 1d · swing
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

This sharing is an indicator where you can see the average of different time frames.

The RSI is the blue line The Stock is the yellow line

You can manage the timeframe in the parameters.

The strategy is to take position when the two lines get overbought or oversold and close when the stoch and RSI goes to the middle.

backtest

Parameters

Name	Default	What it controls
v_input_int_1	80	(?GRP1)Overbought Level
v_input_int_2	20	Oversold Level
v_input_timeframe_1	W	(?GRP2)Timeframe 1
v_input_timeframe_2	D	Timeframe 2
v_input_timeframe_3	240	Timeframe 3
v_input_timeframe_4	60	Timeframe 4
v_input_int_3	14	(?GRP3)RSI length
v_input_1_close	0	RSI Source: close \| high \| low \| open \| hl2 \| hlc3 \| hlcc4 \| ohlc4
v_input_int_4	70	RSI Overbought Level
v_input_int_5	30	RSI Oversold Level
v_input_int_6	14	(?GRP4)%K length
v_input_int_7	3	Smooth K
v_input_2_close	0	Stochastic Source: close \| high \| low \| open \| hl2 \| hlc3 \| hlcc4 \| ohlc4
v_input_int_8	70	Stochastic Overbought Level
v_input_int_9	30	Stochastic Oversold Level

Source Pine Script

/*backtest
start: 2021-05-09 00:00:00
end: 2022-05-08 23:59:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

////////////////////////////////////////// MTF Stochastic & RSI Strategy ©️ bykzis /////////////////////////////////////////
//

// *** Inspired by "Binance CHOP Dashboard" from @Cazimiro and "RSI MTF Table" from @mobester16 *** and LOT OF COPY of Indicator-Jones MTF Scanner
// 
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

//@version=5
//strategy('MTF RSI & STOCH Strategy', overlay=false,initial_capital=100, currency=currency.USD, commission_value=0.01, commission_type=strategy.commission.percent)


// Pair list
var string GRP1       = '══════════    General    ══════════'
overbought = input.int(80, 'Overbought Level', minval=1, group=GRP1)
oversold = input.int(20, 'Oversold Level', minval=1, group=GRP1)


/// Timeframes
var string GRP2       = '══════════   Timeframes   ══════════'
timeframe1 = input.timeframe(title="Timeframe 1", defval="W", group=GRP2)
timeframe2 = input.timeframe(title="Timeframe 2", defval="D", group=GRP2)
timeframe3 = input.timeframe(title="Timeframe 3", defval="240", group=GRP2)
timeframe4 = input.timeframe(title="Timeframe 4", defval="60", group=GRP2)

// RSI settings
var string GRP3       = '══════════   RSI settings   ══════════'
rsiLength = input.int(14, minval=1, title='RSI length', group=GRP3)
rsiSource = input(close, 'RSI Source', group=GRP3)
rsioverbought = input.int(70, 'RSI Overbought Level', minval=1, group=GRP3)
rsioversold = input.int(30, 'RSI Oversold Level', minval=1, group=GRP3)


/// Get RSI values of each timeframe /////////////////////////////////////////////////////
rsi = ta.rsi(rsiSource, rsiLength)
callRSI(id,timeframe) =>
    rsiValue = request.security(id, str.tostring(timeframe), rsi, gaps=barmerge.gaps_off)
    rsiValue

RSI_TF1 = callRSI(syminfo.tickerid, timeframe1)
RSI_TF2 = callRSI(syminfo.tickerid, timeframe2)
RSI_TF3 = callRSI(syminfo.tickerid, timeframe3)
RSI_TF4 = callRSI(syminfo.tickerid, timeframe4)




/////// Calculate Averages /////////////////////////////////////////////////////////////////
calcAVG(valueTF1, valueTF2, valueTF3, valueTF4) =>
    math.round((valueTF1 + valueTF2 + valueTF3 + valueTF4) / 4, 2)

AVG=calcAVG(RSI_TF1, RSI_TF2, RSI_TF3, RSI_TF4)



// Stochastic settings
var string GRP4       = '══════════   Stochastic settings   ══════════'
periodK = input.int(14, '%K length', minval=1, group=GRP4)
smoothK = input.int(3, 'Smooth K', minval=1, group=GRP4)
stochSource = input(close, 'Stochastic Source', group=GRP4)
stochoverbought = input.int(70, 'Stochastic Overbought Level', minval=1, group=GRP4)
stochoversold = input.int(30, 'Stochastic Oversold Level', minval=1, group=GRP4)


/// Get Stochastic values of each timeframe ////////////////////////////////////////////////
stoch = ta.sma(ta.stoch(stochSource, high, low, periodK), smoothK)
getStochastic(id,timeframe) =>
    stochValue = request.security(id, str.tostring(timeframe), stoch, gaps=barmerge.gaps_off)
    stochValue

Stoch_TF1 = getStochastic(syminfo.tickerid, timeframe1)
Stoch_TF2 = getStochastic(syminfo.tickerid, timeframe2)
Stoch_TF3 = getStochastic(syminfo.tickerid, timeframe3)
Stoch_TF4 = getStochastic(syminfo.tickerid, timeframe4)


AVG_STOCH=calcAVG(Stoch_TF1, Stoch_TF2, Stoch_TF3, Stoch_TF4)


plot(AVG, color = color.blue, title='RSI')
plot(AVG_STOCH, color = color.yellow,title='STOCH')
hline(rsioverbought,color=color.red)
hline(rsioversold, color=color.lime)
hline(50, color=color.white)

//============ signal Generator ==================================//

if AVG <= rsioversold and AVG_STOCH <=stochoversold 
    strategy.entry('Buy_Long', strategy.long)

    
strategy.close("Buy_Long",when=(AVG_STOCH >=70 and AVG >=50 and close >=strategy.position_avg_price),comment="Long_OK")

if AVG >=rsioverbought and AVG_STOCH >=stochoverbought
    strategy.entry('Buy_Short', strategy.short)


strategy.close("Buy_Short",when=(AVG_STOCH <=30 and AVG <=50 and close <=strategy.position_avg_price),comment="Short_OK")


///////////////////////////////////////////////////////////////////////////////////////////

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-10. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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Source Pine Script

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