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15-Minute Intraday · Mean Reversion Engine

Xertra (STRAX) 15-Minute Intraday Bollinger Band Mean Reversion

Algorithmic 15-Minute Intraday Bollinger Band Mean Reversion strategy for Xertra (STRAX). Calibrated for 1 to 4 hours with Volume-weighted confirmation across European and US session opens. Paper trade on live Binance data.

Xertra / USDT BINANCE LIVE (15M)
Timeframe: 15M Target Horizon: 1 to 4 hours
Timeframe Specifications

15-Minute Intraday Calibration & Execution Dynamics

Execution Horizon
1 to 4 hours

Expected duration from algorithmic entry trigger to defensive target exit.

Noise Filter
15M Filter

Volume-weighted confirmation across European and US session opens

Best Use-Case
Optimal Intent

Intraday trend continuation and VWAP reversion setups

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 (15M)

Most backtests fabricate impossible returns by assuming zero fees and zero slippage. Zengtrade factors realistic market realities into every paper trade on Xertra:

  • Spot Friction: High precision required. Avoid trading immediately prior to scheduled token unlocks or protocol upgrades.
  • Risk Guidance: Avoid holding open intraday scalps across major macroeconomic releases.
  • 35 bps Friction Model: Exchange taker fee (10 bps) + maker fee (10 bps) + dynamic slippage buffer (15 bps).
✓ Quantitative Methodology & YMYL Risk Governance

Authored & Verified by Zengtrade Quantitative Research: Every model parameter for Xertra (STRAX) on 15-Minute Intraday 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.