Brett (BRETT) 4-Hour Trend Following Multi-Timeframe RSI Confluence Swing
Algorithmic 4-Hour Trend Following Multi-Timeframe RSI Confluence Swing strategy for Brett (BRETT). Calibrated for 3 to 14 days with Multi-day trend structure, volume profile nodes, and funding rate bias. Paper trade on live Binance data.
4-Hour Trend Following Calibration & Execution Dynamics
Expected duration from algorithmic entry trigger to defensive target exit.
Multi-day trend structure, volume profile nodes, and funding rate bias
Core systematic swing trend captures with highest signal-to-noise ratio
Mathematical Engine & Formula
RSI = 100 - (100 / (1 + RS)), where RS = AverageGain / AverageLossEntry Condition: Daily 50 EMA is sloping upward AND 1-hour RSI drops below 32 and crosses back above 35 with volume confirmation.
Exit Condition: Exit when 1-hour RSI crosses above 70 or price achieves a 1:2.0 risk-reward expansion.
Execution & Cost Transparency (4H)
Most backtests fabricate impossible returns by assuming zero fees and zero slippage. Zengtrade factors realistic market realities into every paper trade on Brett:
- Spot Friction: Tight stop loss minimizes downside exposure to less than 1.5% of trade equity per execution.
- Risk Guidance: Size positions according to ATR volatility to ensure stop loss does not exceed 1.5% account equity.
- 35 bps Friction Model: Exchange taker fee (10 bps) + maker fee (10 bps) + dynamic slippage buffer (15 bps).
Authored & Verified by Zengtrade Quantitative Research: Every model parameter for Brett (BRETT) on 4-Hour Trend Following is calibrated on historical Binance spot tick archives with a 35 bps round-trip friction model. Zengtrade operates under a strict non-custodial, paper-first mandate: we never hold client deposits, never charge commissions on trading volume, and never fabricate hypothetical return curves. Forward-test evidence must be established before live deployment. Read our Regime Engine Methodology and Risk Disclosures.