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15-Minute Intraday · Swing Trading Engine

Treasure (MAGIC) 15-Minute Intraday Multi-Timeframe RSI Confluence Swing

Algorithmic 15-Minute Intraday Multi-Timeframe RSI Confluence Swing strategy for Treasure (MAGIC). Calibrated for 1 to 4 hours with Volume-weighted confirmation across European and US session opens. Paper trade on live Binance data.

Treasure / 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

RSI = 100 - (100 / (1 + RS)), where RS = AverageGain / AverageLoss

Entry 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 (15M)

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

  • Spot Friction: Tight stop loss minimizes downside exposure to less than 1.5% of trade equity per execution.
  • 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 Treasure (MAGIC) 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.