Fast RSI Breakout Trading Strategy
This strategy trades RSI extremes using the fast RSI indicator and filters entries based on candle body size to avoid whipsaws. It aims for quick identification of overbought/oversold levels to capture reversals…
This strategy trades RSI extremes using the fast RSI indicator and filters entries based on candle body size to avoid whipsaws. It aims for quick identification of overbought/oversold levels to capture reversals swiftly.
Strategy Logic:
Calculate fast RSI and set overbought/oversold thresholds.
Calculate EMA of candle body size for body filtering.
Go long when RSI crosses above overbought line and body over half of EMA. Vice versa for short.
Exit when RSI crosses back below original threshold and body over EMA.
Min/max can provide additional signal verification.
Advantages:
Fast RSI speeds up signal generation avoiding lag.
Body size filters reduce insignificant candle noise.
Min/max improves signal quality.
Risks:
Body filtering may skip some valid signals.
Whipsaws still possible for RSI in ranging markets.
Strict risk management required for reversal trades.
In summary, this strategy combines fast RSI and body size filtering for quicker but more robust overbought/oversold detection. But over-filtering issues remain so prudent risk controls are still needed.
Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_1 | true | Long |
| v_input_2 | true | Short |
| v_input_3 | 7 | RSI Period |
| v_input_4 | 30 | RSI limit |
| v_input_5_close | 0 | RSI Price: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4 |
| v_input_6 | true | RSI Bars |
| v_input_7 | false | Use Min/Max |
| v_input_8 | false | Show Arrows |
| v_input_9 | 2018 | From Year |
| v_input_10 | 2100 | To Year |
| v_input_11 | true | From Month |
| v_input_12 | 12 | To Month |
| v_input_13 | true | From day |
| v_input_14 | 31 | To day |
Source Pine Script
/*backtest
start: 2023-01-01 00:00:00
end: 2023-09-11 00:00:00
period: 2d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=3
strategy(title = "Noro's Fast RSI Strategy v1.3", shorttitle = "Fast RSI str 1.3", overlay = true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, pyramiding = 5)
//Settings
needlong = input(true, defval = true, title = "Long")
needshort = input(true, defval = true, title = "Short")
rsiperiod = input(7, defval = 7, minval = 2, maxval = 50, title = "RSI Period")
limit = input(30, defval = 30, minval = 1, maxval = 100, title = "RSI limit")
rsisrc = input(close, defval = close, title = "RSI Price")
rb = input(1, defval = 1, minval = 1, maxval = 5, title = "RSI Bars")
usemm = input(false, defval = false, title = "Use Min/Max")
showarr = input(false, defval = false, title = "Show Arrows")
fromyear = input(2018, defval = 2018, minval = 1900, maxval = 2100, title = "From Year")
toyear = input(2100, defval = 2100, minval = 1900, maxval = 2100, title = "To Year")
frommonth = input(01, defval = 01, minval = 01, maxval = 12, title = "From Month")
tomonth = input(12, defval = 12, minval = 01, maxval = 12, title = "To Month")
fromday = input(01, defval = 01, minval = 01, maxval = 31, title = "From day")
today = input(31, defval = 31, minval = 01, maxval = 31, title = "To day")
//Fast RSI
fastup = rma(max(change(rsisrc), 0), rsiperiod)
fastdown = rma(-min(change(rsisrc), 0), rsiperiod)
fastrsi = fastdown == 0 ? 100 : fastup == 0 ? 0 : 100 - (100 / (1 + fastup / fastdown))
//Limits
bar = close > open ? 1 : close < open ? -1 : 0
uplimit = 100 - limit
dnlimit = limit
//RSI Bars
ur = fastrsi > uplimit
dr = fastrsi < dnlimit
uprsi = rb == 1 and ur ? 1 : rb == 2 and ur and ur[1] ? 1 : rb == 3 and ur and ur[1] and ur[2] ? 1 : rb == 4 and ur and ur[1] and ur[2] and ur[3] ? 1 : rb == 5 and ur and ur[1] and ur[2] and ur[3] and ur[4] ? 1 : 0
dnrsi = rb == 1 and dr ? 1 : rb == 2 and dr and dr[1] ? 1 : rb == 3 and dr and dr[1] and dr[2] ? 1 : rb == 4 and dr and dr[1] and dr[2] and dr[3] ? 1 : rb == 5 and dr and dr[1] and dr[2] and dr[3] and dr[4] ? 1 : 0
//Body
body = abs(close - open)
emabody = ema(body, 30)
//MinMax
min = min(close, open)
max = max(close, open)
//Signals
up1 = bar == -1 and (strategy.position_size == 0 or close < strategy.position_avg_price) and dnrsi and body > emabody / 4
dn1 = bar == 1 and (strategy.position_size == 0 or close > strategy.position_avg_price) and uprsi and body > emabody / 4
up2 = min < min[1] and bar == -1 and bar[1] == -1 and usemm
dn2 = max > max[1] and bar == 1 and bar[1] == 1 and usemm
exit = ((strategy.position_size > 0 and fastrsi > dnlimit and bar == 1) or (strategy.position_size < 0 and fastrsi < uplimit and bar == -1)) and body > emabody / 2
//Arrows
col = exit ? black : up1 or dn1 ? blue : up2 or dn2 ? red : na
needup = up1 or (up2 and usemm)
needdn = dn1 or (dn2 and usemm)
needexitup = exit and strategy.position_size < 0
needexitdn = exit and strategy.position_size > 0
plotarrow(showarr and needup ? 1 : na, colorup = blue, colordown = blue, transp = 0)
plotarrow(showarr and needdn ? -1 : na, colorup = blue, colordown = blue, transp = 0)
plotarrow(showarr and needexitup ? 1 : na, colorup = black, colordown = black, transp = 0)
plotarrow(showarr and needexitdn ? -1 : na, colorup = black, colordown = black, transp = 0)
//Trading
if up1 or up2
strategy.entry("Long", strategy.long, needlong == false ? 0 : na, when=(time > timestamp(fromyear, frommonth, fromday, 00, 00) and time < timestamp(toyear, tomonth, today, 00, 00)))
if dn1 or dn2
strategy.entry("Short", strategy.short, needshort == false ? 0 : na, when=(time > timestamp(fromyear, frommonth, fromday, 00, 00) and time < timestamp(toyear, tomonth, today, 00, 00)))
if time > timestamp(toyear, tomonth, today, 00, 00) or exit
strategy.close_all()Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-12. 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.
/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/Fast-RSI-Breakout-Trading-Strategy.md- npx agenkit install engineering-kit in your project
- Paste the command into your agent and approve each phase
- 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
- Bull Market Tracking SystemPine Script · Breakout · 1h
- Dual MA Momentum Breakout StrategyPine Script · Breakout · 1h
- EMA and Bollinger Bands Breakout StrategyPine Script · Breakout · 1h
- Exponential Moving Average Candle Stop Trading StrategyPine Script · Breakout · 1d
- Force Breakthrough StrategyPine Script · Breakout · 30m
- MA Trendline Breakthrough StrategyPine Script · Breakout · 1d