by 
This mean-reversion strategy combines multi-timeframe exponential moving averages, Bollinger Bands, and the Relative Strength Index. It generates long and optional short trade signals when price interacts with the Bollinger Bands alongside RSI threshold confir
Strategy · Pine Script v6 · On the chart
SSE Index RSI Bounce Strategy - Enhanced
This strategy combines multi-timeframe RSI analysis with exponential moving average filters to execute trades on price bounces.
GitHub stars49on the repository
Pine versionv6current
Lines of code255
Settings16inputs
LicenceCustom licence
Last update3 months ago2 Jul 2026
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.
Overview
SSE Index RSI Bounce Strategy - Enhanced evaluates daily and weekly RSI levels alongside pip-distance thresholds between fast, slow, and long-term EMAs. Position entries are conditioned on EMA alignment and price proximity requirements, while partial exits trigger when the daily RSI reaches overbought territory. Users can adjust RSI boundaries, position sizing percentages, EMA periods, and pip thresholds. It overlays directly on the price chart. Notable risk factors include high pyramiding limits and an absence of built-in stop-loss controls.
- Multi-timeframe daily and weekly RSI analysis
- EMA distance and alignment filters
- Partial exit logic on RSI overbought levels
- Price proximity threshold checks
Details
Published by
zhutoutoutousan on GitHub
Type
Strategy, Pine Script v6
Draws
On the price chart
Category
Oscillators & momentum, Moving averages, Mean reversion
Markets
Indices
Timeframes
M15-H1, H4 and above
Risk Notes
- The strategy can add several entries in the same direction
- The strategy enters trades without a stop loss
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| RSI Length | int | 17 | rsi_length |
| RSI Oversold Level | int | 27 | rsi_oversold |
| RSI Overbought Level | int | 86 | rsi_overbought |
| EMA Length | int | 177 | ema_length |
| Weekly Signal Position Size (%) | float | 14.0 | weekly_position_size |
| Daily Signal Position Size (%) | float | 11.0 | daily_position_size |
| Partial Exit Percentage on Daily RSI Overbought (%) | float | 41.0 | partial_exit_percent |
| EMA Distance Threshold (Pips) | float | 16.0 | ema_distance_threshold |
| EMA Distance Position Size (%) | float | 53 | ema_distance_position_size |
| Fast EMA Length | int | 21 | fast_ema_length |
| Slow EMA Length | int | 55 | slow_ema_length |
| EMA Alignment Threshold (Pips) | float | 15000.0 | ema_alignment_threshold |
Show all 16 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| EMA Alignment Direction | string | both | ema_alignment_direction |
| Price Proximity Threshold (Pips) | float | 535.0 | price_proximity_threshold |
| EMA Exit Period | int | 34 | ema_exit_period |
| Require Volume Confirmation for EMA Exit | bool | true | enable_volume_confirmation |
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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