RSI-Gauss-WiP — Strategy by WorkInProgress374
By WorkInProgress374
Performance Metrics
- Author: WorkInProgress374
- Symbol: COINBASE:BTCUSDC
- Timeframe: 1 day
- Net P&L: +26,425,449.41 USDC (+2,642.54%)
- Win Rate: 34.1%
- Profit Factor: 5.694
- Max Drawdown: 2,729,874.36 USDC (17.22%)
- Total Trades: 41
Description
STRATEGY OVERVIEW: RSI-Gauss-WiP Momentum BreakoutTHE CONCEPT:This strategy is designed to capture high-probability trend expansions by combining advanced signal processing with classic momentum oscillators. Instead of using traditional moving averages (which suffer from significant lag), this strategy utilizes an N-Pole Gaussian Filter to create a smoother, more responsive baseline and volatility channel.THE MECHANICS:Gaussian Channel: We use a multi-pole Gaussian filter (default: 4 poles) to create a "Filtered True Range" channel. Unlike Bollinger Bands, this channel uses a bell-curve weighting to filter out market noise and focus on the true directional energy of the price.Stoch-RSI Momentum: We don't just buy breakouts; we confirm them with momentum. The strategy looks for the Stoch-RSI to be at extreme levels (above 80 or below 20), indicating that the breakout is backed by strong cyclical momentum rather than just a random price spike.+1Trend Alignment: Long positions are only taken when the Gaussian Filter is sloping upwards (Green), ensuring we are trading in harmony with the underlying trend.ENTRY & EXIT LOGIC:Long Entry:Gaussian Trend is bullish (sloping up).Price crosses and closes above the High Band (Volatility Breakout).Stoch-RSI K-line is above the D-line.Stoch-RSI is at an extreme momentum reading (>80 or <20).Long Exit:Price crosses back under the Gaussian Filter (The midline). This acts as a trailing "equilibrium" stop to protect capital during a trend reversal.KEY FEATURES:Lag Reduction: Includes a "Reduced Lag Mode" and "Fast Response Mode" for traders looking to catch turns even earlier.Clean Interface: The script is optimized for a clean chart—status line values and execution labels are hidden by default to allow you to focus on the price action.Time-Filtering: Built-in back testing window to analyze performance across specific market regimes.HOW TO USE:Timeframes: Works best on the 1H, 4H, and Daily timeframes where Gaussian smoothing is most effective at removing "intra-day noise." Check each timeframe for your specific pair, e.g. BTC-USDC, ETH-USDC, LINK-USDC, etc.ASSETS:Optimized for trending assets like BTC, ETH, and high-beta stocks.Tip: If the market is in a heavy sideways chop, increase the "Poles" (N) to 6 or 8 to increase the smoothness of the filter.