SMPivot Gaussian Trend Strategy [Js.K] by Jasonkasei
By Jasonkasei
Performance Metrics
- Author: Jasonkasei
- Symbol: BINANCE:BTCUSDT.P
- Timeframe: 1 hour
- Net P&L: +16,727.56 USDT (+165.85%)
- Win Rate: 27.1%
- Profit Factor: 1.353
- Max Drawdown: 8,019.80 USDT (29.87%)
- Total Trades: 317
- Sharpe Ratio: 0.351
Description
This open-source strategy combines a Gaussian-weighted moving average with “Smart Money” swing-pivot breaks (BoS = Break-of-Structure) to capture trend continuations and early reversals. It is intended for educational and research purposes only and must not be interpreted as financial advice.How the logic works ------------------- 1. Gaussian Moving Average (GMA) • A custom Gaussian kernel (length = 30 by default) smooths price while preserving turning points. • A second pass (“Smoothed GMA”) further filters noise; only its direction is used for bias. 2. Swing-Pivot detection • High/Low pivots are found with a symmetric look-back/forward window (Pivot Length = 20). • The most recent confirmed pivot creates a dynamic structure level (UpdatedHigh / UpdatedLow). 3. Entry rules Long • Price closes above the most recent pivot high **and** above Smoothed GMA. Short • Price closes below the most recent pivot low **and** below Smoothed GMA. 4. Exit rules • Fixed stop-loss and take-profit in percent of current price (user-defined). • Separate parameters and on/off switches for longs and shorts. 5. Visuals • GMA (dots) and Smoothed GMA (line). • Structure break lines plus “BoS PH/PL” labels at the midpoint between pivot and break. Inputs ------ Gaussian • Gaussian Length (default 30) – smoothing window. • Gaussian Scatterplot – toggle GMA dots. Smart-Money Pivot • Pivot Length (default 20). • Bull / Bear colors. Risk settings • Long / Short enable. • Individual SL % and TP % (default 1 % SL, 30 % TP). • Strategy uses percent-of-equity sizing; initial capital defaults to 10 000 USD. Adjust these to reflect your own account size, realistic commission and slippage.Best practice & compliance notes -------------------------------- • Test on a data sample that yields ≥ 100 trades to obtain statistically relevant results. • Keep risk per trade below 5–10 % of equity; the default values comply with this guideline. • Explain any custom settings you publish that differ from the defaults. • Do **not** remove the code header or licence notice (MPL-2.0). • Include realistic commission and slippage in your back-test before publishing. • The script does **not** repaint; orders are processed on bar close. Usage ----- 1. Add the script to any symbol / timeframe; intraday and swing timeframes both work—adjust lengths accordingly. 2. Configure SL/TP and position size to match your personal risk management. 3. Run “List of trades” and the performance summary to evaluate expectancy; forward-test before live use. Disclaimer ---------- Trading involves substantial risk. Past performance based on back-testing is not necessarily indicative of future results. The author is **not** responsible for any financial losses arising from the use of this script.