Renko and Relative Vigor Index Trend Following Strategy

This strategy combines the Renko charts and Relative Vigor Index (RVI) to capture most of the major market trends. It works well on major symbols like BTCUSD, HSI etc.

Pine ScriptTrend following Mean reversion Volatility SMA ATR

Author: ChaoZhang
Complexity: Intermediate · 129 lines
Parameters: 4
Backtest bar: 1d · swing
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

This strategy combines the Renko charts and Relative Vigor Index (RVI) to capture most of the major market trends. It works well on major symbols like BTCUSD, HSI etc.

Strategy Logic

The strategy constructs Renko bricks based on 9 period ATR. A new green brick is constructed when close price exceeds the previous brick's high. A new red brick is constructed when close price falls below the previous brick's low. The trend direction is determined by RVI indicator.

RVI oscillates between 0-1 to measure the relative strength between buying and selling pressure. Above 0.5 represents stronger buying pressure while below 0.5 represents stronger selling pressure. RVI crossing above its smooth moving average gives buy signal as selling pressure eases. RVI crossing below gives sell signal as buying pressure eases.

Combine the Renko brick direction and RVI signals to enter long or short positions accordingly.

Advantages

Renko bricks filter out normal market noise and only react to significant price movement, avoiding whipsaws.
RVI helps identifying trend reversal, further confirming trading signals.
Combining two indicators filters out some noise and enables capturing major trends.

Risks

Brick size directly affects trading frequency. Bricks too large may miss opportunity while too small increases costs.
Improper RVI parameters may cause missing signals or more false signals.
Double filtering misses some trading opportunity.

Enhancement

Dynamic brick size to adapt changing volatility.
Optimize RVI parameters to find best balance.
Test stability across different symbols and timeframes.

Conclusion

This strategy combines two different types of indicators to capture major trends. Further optimization on Renko and RVI parameters can improve stability. No model is perfect and missing some trades is inevitable. Users need to assess their own risk preference and choose proper symbol/parameter combo.

Parameters

Name	Default	What it controls
v_input_1	D	TimeFrame
v_input_2	9	ATR length
v_input_3	5	SMA length
v_input_4	20	SMA CurTF length

Source Pine Script

/*backtest
start: 2023-01-28 00:00:00
end: 2024-02-03 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=3
strategy("Lancelot RR Strategy", overlay=false)
p=9
CO=close-open
HL=high-low
value1 = (CO + 2*CO[1] + 2*CO[2] + CO[3])/6
value2 = (HL + 2*HL[1] + 2*HL[2] + HL[3])/6
num=sum(value1,p)
denom=sum(value2,p)
RVI=denom!=0?num/denom:0
RVIsig=(RVI+ 2*RVI[1] + 2*RVI[2] + RVI[3])/6

rvicloselongcondition = crossunder(RVI, RVIsig)
rvicloseshortcondition = crossover(RVI, RVIsig)

plot(RVI,color=green,style=line,linewidth=1)
plot(RVIsig,color=red,style=line,linewidth=1)
bgcolor(rvicloseshortcondition ? green : na, transp = 75)
bgcolor(rvicloselongcondition ? red : na, transp = 75)

///Renko///
TF = input(title='TimeFrame', defval="D")
ATRlength = input(title="ATR length",  defval=9, minval=2, maxval=100)
SMAlength = input(title="SMA length",  defval=5, minval=2, maxval=100)
SMACurTFlength = input(title="SMA CurTF length",  defval=20, minval=2, maxval=100)

HIGH = request.security(syminfo.tickerid, TF, high)
LOW = request.security(syminfo.tickerid, TF, low)
CLOSE = request.security(syminfo.tickerid, TF, close)
ATR = request.security(syminfo.tickerid, TF, atr(ATRlength))
SMA = request.security(syminfo.tickerid, TF, sma(close, SMAlength))
SMACurTF = sma(close, SMACurTFlength)

RENKOUP = na
RENKODN = na
H = na
COLOR = na
BUY = na
SELL = na
UP = na
DN = na
CHANGE = na

RENKOUP := na(RENKOUP[1]) ? ((HIGH+LOW)/2)+(ATR/2) : RENKOUP[1]
RENKODN := na(RENKOUP[1]) ? ((HIGH+LOW)/2)-(ATR/2) : RENKODN[1]
H := na(RENKOUP[1]) or na(RENKODN[1]) ? RENKOUP-RENKODN : RENKOUP[1]-RENKODN[1]
COLOR := na(COLOR[1]) ? white : COLOR[1]
BUY := na(BUY[1]) ? 0 : BUY[1]
SELL := na(SELL[1]) ? 0 : SELL[1]
UP := false
DN := false
CHANGE := false

if(not CHANGE and close >= RENKOUP[1]+H*3)
    CHANGE := true
    UP := true
    RENKOUP := RENKOUP[1]+ATR*3
    RENKODN := RENKOUP[1]+ATR*2
    COLOR := lime
    SELL := 0
    BUY := BUY+3

if(not CHANGE and close >= RENKOUP[1]+H*2)
    CHANGE := true
    UP := true
    RENKOUP := RENKOUP[1]+ATR*2
    RENKODN := RENKOUP[1]+ATR
    COLOR := lime
    SELL := 0
    BUY := BUY+2

if(not CHANGE and close >= RENKOUP[1]+H)
    CHANGE := true
    UP := true
    RENKOUP := RENKOUP[1]+ATR
    RENKODN := RENKOUP[1]
    COLOR := lime
    SELL := 0
    BUY := BUY+1

if(not CHANGE and close <= RENKODN[1]-H*3)
    CHANGE := true
    DN := true
    RENKODN := RENKODN[1]-ATR*3
    RENKOUP := RENKODN[1]-ATR*2
    COLOR := red
    BUY := 0
    SELL := SELL+3

if(not CHANGE and close <= RENKODN[1]-H*2)
    CHANGE := true
    DN := true
    RENKODN := RENKODN[1]-ATR*2
    RENKOUP := RENKODN[1]-ATR
    COLOR := red
    BUY := 0
    SELL := SELL+2

if(not CHANGE and close <= RENKODN[1]-H)
    CHANGE := true
    DN := true
    RENKODN := RENKODN[1]-ATR
    RENKOUP := RENKODN[1]
    COLOR := red
    BUY := 0
    SELL := SELL+1
    
plotshape(UP, style=shape.arrowup, location=location.bottom, size=size.normal)

renkolongcondition = UP
renkoshortcondition = DN

///Long Entry///
longcondition = UP
if (longcondition)
    strategy.entry("Long", strategy.long)
    
///Long exit///
closeconditionlong = rvicloselongcondition
if (closeconditionlong)
    strategy.close("Long")

Published by ChaoZhang on the FMZ strategy square · last modified 2024-02-04. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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