0bps

Strategy vault / Mean reversion

Cryptocurrency RSI Curve Tracking Strategy

This strategy is designed for the cryptocurrency market, using a combination of ultra-long period RSI and RVI indicators to determine entries and exits. Specifically, long entries are taken when RVI shows the buy…

Author
ChaoZhang
Complexity
Intermediate · 108 lines
Parameters
8
Backtest bar
1h · intraday
Tested on
BTC/USDT · futures

This strategy is designed for the cryptocurrency market, using a combination of ultra-long period RSI and RVI indicators to determine entries and exits.

Specifically, long entries are taken when RVI shows the buy zone, and the super long RSI crosses above overbought level. Exits occur when RVI enters sell zone, and RSI crosses below oversold level for stop loss.

The advantage of this strategy is the ultra-long RSI can more accurately determine trends to avoid whipsaws. RVI assists in gauging buy/sell pressure for higher entry precision. The stop loss method allows timely cut loss to reduce drawdowns.

However, both RSI and RVI have lagging issues, and cannot promptly capture turning points. Loosened parameters or moving stops are needed to adapt to spikes. Also, RSI has limited capabilities in decoding complex price action.

In summary, the cryptocurrency RSI curve tracking strategy can produce decent results when combined with strong trending moves. But active position management, parameter tuning, and monitoring fundamentals are still essential for traders to achieve long-term steady profits.

Parameters

NameDefaultWhat it controls
v_input_1100Period
v_input_249BuyZone
v_input_350SellZone
v_input_4falseTrade reverse
v_input_5100risk
v_input_62.5leverage
v_input_70.2sl
v_input_8truetp

Source Pine Script

/*backtest
start: 2023-01-01 00:00:00
end: 2023-03-30 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © exlux99

strategy(title="Crypto RSI + RVI Strategy", overlay=true, initial_capital = 1000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.03, pyramiding=1  )

Period = input(100, minval=1)
BuyZone = input(49, minval=1)
SellZone = input(50, minval=1)

length=Period
MA_s=0.0
pos=0.0
possig=0.0
nU=0.0
nD=0.0
nRes=0.0
ob=SellZone
os=BuyZone

WiMA(src, length) => 
    MA_s=0.0
    MA_s:=(src + nz(MA_s[1] * (length-1)))/length
    MA_s

calc_rsi_volume(fv, length) =>    
    up=iff(fv>fv[1],abs(fv-fv[1])*volume,0)
    dn=iff(fv<fv[1],abs(fv-fv[1])*volume,0)
    upt=WiMA(up,length)
    dnt=WiMA(dn,length)
    100*(upt/(upt+dnt))

rsi_v = calc_rsi_volume(close, length)

// u=plot(ob)
// l=plot(os)
// fill(u,l,color.red)
// plot(50)
// plot(rsi_v, color=color.red, linewidth=1)

 

reverse = input(false, title="Trade reverse")
xPrice = close
StdDev = stdev(xPrice, Period)
d = iff(close > close[1], 0, StdDev)
u = iff(close > close[1], StdDev, 0)
nU := (13 * nz(nU[1],0) + u) / 14
nD := (13 * nz(nD[1],0) + d) / 14
nRes := 100 * nU / (nU + nD)
pos := iff(nRes < BuyZone, -1,
       iff(nRes > SellZone, 1, nz(pos[1], 0))) 
possig := iff(reverse and pos == 1, -1,
          iff(reverse and pos == -1, 1, pos))       

 


long=crossover (rsi_v,ob) and (possig == 1) 
short=crossunder(rsi_v,os) and (possig == -1)

g(v, p) => round(v * (pow(10, p))) / pow(10, p)
risk     = input(100)
leverage = input(2.5)
c = g((strategy.equity * leverage / open) * (risk / 100), 4)

strategy.entry("long",1,c,when=long)
strategy.close("long",when=short)
//strategy.entry("short",0,when=short)

 

// ------------------------- Strategy Logic --------------------------------- //
var longOpeneda = false
var shortOpeneda = false
var int timeOfBuya = na

 

longCondition= long and not longOpeneda 

if longCondition
    longOpeneda := true
    timeOfBuya := time


longExitSignala = short
exitLongCondition = longOpeneda[1] and longExitSignala

if exitLongCondition
    longOpeneda := false
    timeOfBuya := na

//plotshape(longCondition, style=shape.labelup, location=location.belowbar, color=color.color.green, size=size.tiny, title="BUY", text="BUY", textcolor=color.color.white)
//plotshape(exitLongCondition, style=shape.labeldown, location=location.abovebar, color=color.color.red, size=size.tiny, title="SELL", text="SELL", textcolor=color.color.white)
sl=input(0.2)
tp=input(1.0)
strategy.exit("long_tp/sl", "long", profit=close * tp / syminfo.mintick, loss=close * sl / syminfo.mintick, comment='long_tp/sl', alert_message = 'closelong')
strategy.exit("short_tp/sl", "short", profit=close * tp / syminfo.mintick, loss=close * sl / syminfo.mintick, comment='short_tp/sl',  alert_message = 'closeshort')

Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-11. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

Build this with AgenKit

A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.

in Claude Code, Cursor, Codex & 4 more
/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/Cryptocurrency-RSI-Curve-Tracking-Strategy.md
  1. npx agenkit install engineering-kit in your project
  2. Paste the command into your agent and approve each phase
  3. Get tests, backtest, risk controls and a paper-trading switch

Understand it first

Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.

Related specs

esc

Try , , or .

↑↓ move↵ open