Open Campus (EDU) 1-Day Macro Regime MACD Histogram Exhaustion Divergence
Algorithmic 1-Day Macro Regime MACD Histogram Exhaustion Divergence strategy for Open Campus (EDU). Calibrated for 2 to 12 weeks with Macro cycle regime classification and secular 200-day EMA trend direction. Paper trade on live Binance data.
1-Day Macro Regime Calibration & Execution Dynamics
Expected duration from algorithmic entry trigger to defensive target exit.
Macro cycle regime classification and secular 200-day EMA trend direction
Major structural bull runs and dynamic dollar-cost averaging campaigns
Mathematical Engine & Formula
MACD = EMA(12) - EMA(26); Signal = EMA(9, MACD); Histogram = MACD - SignalEntry Condition: Confirm bullish divergence on the 4-hour chart coupled with a MACD histogram tick flip into positive territory.
Exit Condition: Target the recent swing high or exit upon bearish histogram contraction after reaching +2.4 R:R.
Execution & Cost Transparency (1D)
Most backtests fabricate impossible returns by assuming zero fees and zero slippage. Zengtrade factors realistic market realities into every paper trade on Open Campus:
- Spot Friction: False breakouts occur during strong trending impulses. Always mandate ATR-based hard stop losses.
- Risk Guidance: Preserve high cash reserves in neutral or bear regimes to fund strategic accumulation dips.
- 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 Open Campus (EDU) on 1-Day Macro Regime 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.