0bps

Strategy vault / Mean reversion

Relative Strength Index Divergences Libertus

Hello all, To ease everyone's trading experience I made this script which colors RSI overbought and oversold conditions and as a bonus displays bullish or bearish divergences in last 50 candles (by default, you can…

Author
ChaoZhang
Complexity
Intermediate · 100 lines
Parameters
7

Hello all,

To ease everyone's trading experience I made this script which colors RSI overbought and oversold conditions and as a bonus displays bullish or bearish divergences in last 50 candles (by default, you can change it). Script is open source, part of code is from Trading View examples. If you have suggestions or you already made some improvements, please report in comment.

Happy trading and good luck!

backtest

IMG

Parameters

NameDefaultWhat it controls
v_input_114RSI Length
v_input_270Overbought
v_input_330Oversold
v_input_4falseHide pivots?
v_input_5falseShorter labels?
v_input_6falseHide labels and color background
v_input_790Div lookback period (bars)?

Source Pine Script

//@version=4
// Copyright by Libertus - 2021
// RSI Divergences v3.2
// Free for private use
study(title="Relative Strength Index - Divergences - Libertus", shorttitle="RSI Div - Lib")
len = input(14, minval=1, title="RSI Length")
ob = input(defval=70, title="Overbought", type=input.integer, minval=0, maxval=100)
os = input(defval=30, title="Oversold", type=input.integer, minval=0, maxval=100)

// RSI code
rsi = rsi(close, len)
band1 = hline(ob)
band0 = hline(os)
plot(rsi, color=(rsi > ob or rsi < os ? color.new(color.red, 0) : color.new(color.black, 0)))
fill(band1, band0, color=color.new(color.purple, 97))

// DIVS code
piv = input(false,"Hide pivots?")
shrt = input(false,"Shorter labels?")
hidel = input(false, "Hide labels and color background")
xbars = input(defval=90, title="Div lookback period (bars)?", type=input.integer, minval=1)
hb = abs(highestbars(rsi, xbars)) // Finds bar with highest value in last X bars
lb = abs(lowestbars(rsi, xbars)) // Finds bar with lowest value in last X bars

// Defining variable values, mandatory in Pine 3
max = float(na)
max_rsi = float(na)
min = float(na)
min_rsi = float(na)
pivoth = bool(na)
pivotl = bool(na)
divbear = bool(na)
divbull = bool(na)

// If bar with lowest / highest is current bar, use it's value
max := hb == 0 ? close : na(max[1]) ? close : max[1]
max_rsi := hb == 0 ? rsi : na(max_rsi[1]) ? rsi : max_rsi[1]
min := lb == 0 ? close : na(min[1]) ? close : min[1]
min_rsi := lb == 0 ? rsi : na(min_rsi[1]) ? rsi : min_rsi[1]

// Compare high of current bar being examined with previous bar's high
// If curr bar high is higher than the max bar high in the lookback window range
if close > max // we have a new high
    max := close // change variable "max" to use current bar's high value
if rsi > max_rsi // we have a new high
    max_rsi := rsi // change variable "max_rsi" to use current bar's RSI value
if close < min // we have a new low
    min := close // change variable "min" to use current bar's low value
if rsi < min_rsi // we have a new low
    min_rsi := rsi // change variable "min_rsi" to use current bar's RSI value

// Finds pivot point with at least 2 right candles with lower value
pivoth := (max_rsi == max_rsi[2]) and (max_rsi[2] != max_rsi[3]) ? true : na
pivotl := (min_rsi == min_rsi[2]) and (min_rsi[2] != min_rsi[3]) ? true : na

// Detects divergences between price and indicator with 1 candle delay so it filters out repeating divergences
if (max[1] > max[2]) and (rsi[1] < max_rsi) and (rsi <= rsi[1])
    divbear := true
if (min[1] < min[2]) and (rsi[1] > min_rsi) and (rsi >= rsi[1])
    divbull := true

// Alerts
alertcondition(divbear, title='Bear div', message='Bear div')
alertcondition(divbull, title='Bull div', message='Bull div')
alertcondition(pivoth, title='Pivot high', message='Pivot high')
alertcondition(pivotl, title='Pivot low', message='Pivot low')

if divbull
    strategy.entry("Enter Long", strategy.long)
else if divbear
    strategy.entry("Enter Short", strategy.short)

// // Plots divergences and pivots with offest
// l = divbear ? 
//       label.new (bar_index-1, rsi[1]+1, "BEAR", color=color.red, textcolor=color.white, style=label.style_labeldown, yloc=yloc.price, size=size.small) :
//       divbull ?
//           label.new (bar_index-1, rsi[1]-1, "BULL", color=color.green, textcolor=color.white, style=label.style_labelup, yloc=yloc.price, size=size.small) :
//           pivoth ?
//               label.new (bar_index-2, max_rsi+1, "PIVOT", color=color.blue, textcolor=color.white, style=label.style_labeldown, yloc=yloc.price, size=size.small) :
//               pivotl ?
//                   label.new (bar_index-2, min_rsi-1, "PIVOT", color=color.blue, textcolor=color.white, style=label.style_labelup, yloc=yloc.price, size=size.small) :
//                   na

// // Shorter labels
// if shrt
//     label.set_text (l, na)
// // Hides pivots or labels
// if (piv and (pivoth or pivotl)) or hidel
//     label.delete (l)
// // Colors indicator background
// bgcolor (hidel ? (divbear ? color.new(color.red, 50) : divbull ? color.new(color.green, 50) : na) : na, offset=-1)
// bgcolor (hidel ? (piv ? na : (pivoth or pivotl ? color.new(color.blue, 50) : na)) : na, offset=-2)

// Debug tools
// plot(max, color=blue, linewidth=2)
// plot(max_rsi, color=red, linewidth=2)
// plot(hb, color=orange, linewidth=2)
// plot(lb, color=purple, linewidth=1)
// plot(min_rsi, color=lime, linewidth=1)
// plot(min, color=black, linewidth=1)

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-24. 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/Relative-Strength-Index-Divergences-Libertus.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