Mask Network (MASK) 4-Hour Trend Following Bollinger Band Mean Reversion
Algorithmic 4-Hour Trend Following Bollinger Band Mean Reversion strategy for Mask Network (MASK). 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
Band = SMA(20) +/- 2.0 * StandardDeviation(20)Entry Condition: Trigger buy when price pierces the lower 2.0-sigma band and forms a bullish hammer or RSI bullish reversal candle.
Exit Condition: Take profit upon touch of the middle 20 SMA line; hard stop loss anchored 0.5 sigma below the recent swing low.
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 Mask Network:
- Spot Friction: High precision required. Avoid trading immediately prior to scheduled token unlocks or protocol upgrades.
- 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 Mask Network (MASK) 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.