Tetrad Elektro Community v1.0 — Strategy by TetradProtocol
By TetradProtocol
Performance Metrics
- Author: TetradProtocol
- Symbol: BYBIT:BTCUSDT.P
- Timeframe: 30 minutes
- Net P&L: −12.70 USDT (−12.70%)
- Win Rate: 48.0%
- Profit Factor: 0.735
- Max Drawdown: 20.68 USDT (20.52%)
- Total Trades: 25
Description
Tetrad Elektro Community is an open-source educational strategy built around Bollinger Band exhaustion, RSI confirmation, and optional bearish divergence logic.The strategy is designed to identify stretched market conditions where price may be overextended relative to its recent range. Long setups look for price pressing into the lower Bollinger Band with oversold RSI confirmation. Short setups look for upper-band exhaustion, elevated RSI, or bearish divergence where price makes a new high but RSI or MACD fails to confirm.Suggested use:This strategy is best studied on the 30-minute or 45-minute chart. It was designed primarily for crypto markets and may work across several liquid crypto assets such as BTC, ETH, SOL, and DOGE. It may also be worth researching on high-liquidity stocks or ETFs, but users should always test each asset individually before relying on any result.Suggested mode selection:- Use Long Only in bullish environments.- Use Short Only in bearish environments.- Use Long & Short in ranging or two-sided environments.The strategy includes:- Bollinger Band mean-reversion logic- Main RSI and fast RSI filters- Optional bearish divergence using RSI/MACD confirmation failure- Optional stop loss- Optional time stop- Optional flat-first execution behavior- Clean chart visuals with optional labels and signal markersThis public community version is intentionally simplified. It does not include Tetrad’s private MLTT/RORO risk engine, execution controller, portfolio allocator, live-routing infrastructure, optimized production parameters, or machine-learning overlays.This is not financial advice. Backtests are hypothetical and may differ from live execution. Always test on your own market, timeframe, exchange, fee assumptions, and risk model before using any strategy.