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Tier A prop-eval engine

Open Drive Reclaim Prop 95

A 2-minute MES/MNQ NY-open long-only prop-evaluation engine built around strong opening-drive continuation and VWAP/EMA reclaim.

Trades2211.43 per week
Win rate60.2%10k validated
Target RR1.0Rdefault model
Expectancy+0.157Rper trade
Profit factor1.45gross wins / losses
Max DD7.99Rhistorical path
Eval pass95.1%10,000 paths
Eval fail4.8%trailing/DD fail
Median pass28 daysp25 20 / p75 39
Funded payout99.9%modeled eligibility
Historical Equity Curveclosed-trade R path
Exact operating profile

Entry, stop, target, and governor logic

The public page shows the research-grade operating shape. Source code, alert wiring, and platform-specific automation files remain private until unlock.

ItemValidated ruleExecution note
Chart2-minute execution chartThe research winner is a 2-minute model. Do not assume 1m or 5m parity.
MarketMES/MNQ micro futuresMicro sizing is preferred for prop-rule control and live fill drift monitoring.
DirectionLong onlyNo short-side version survived the prop reality filter at comparable quality.
SessionNY-open/open-drive windowTradingView session input must be aligned to chart/exchange timezone.
SetupStrong opening drive, then bullish VWAP/EMA reclaim continuationRequires trend-quality confirmation, not blind first-bar breakout chasing.
EntryClosed-bar signal, next-bar/market style entry in the approximationBacktest used next-bar execution from the replay engine.
StopMax of structure risk and 1.25 ATR, with minimum-risk floorStop is attached immediately. No widening.
TargetFixed 1.0R targetFast, bracketed target. Do not stretch target during eval mode.
Time exit8 bars on the validated 2-minute modelExit if neither stop nor target resolves inside the modeled horizon.
GovernorDaily stop -$500, daily lock +$650, max two model lossesThe strategy is only prop-realistic with the governor active.
Fast-pass governor frontier

Speed versus survival settings

These rows keep the same signal logic and only change risk dollars plus daily lockouts. Faster pass settings raise drawdown failure risk, so they belong in demo first.

ModeRiskDaily stopDaily lockPassFailMedianP75Avg DD
Best survival score$200$500$50098.1%1.9%36d49d$819
Fast-pass frontier 1$300$500$50094.1%5.9%21d30d$940
Fast-pass frontier 2$275$650$50094.5%5.5%23d32d$881
Fast-pass frontier 3$275$650$80093.5%6.5%24d35d$945
Fast-pass frontier 4$275$500$50095.0%5.0%25d34d$924
TradingView package

PineScript approximation staged privately.

Exact source, alert template, automation wiring, and broker-risk governor stay gated until checkout is connected.

Pine v5 indicator

output/luxalgo-buyer-assets/pinescripts/prop-open-drive-95.lux.pine

Alerts and plotted levels

Buy arrows, stop line, target line, session controls, and alert conditions are included in the staged script.

Not public-published

The script is private buyer/testing code and has not been published to the TradingView public library.

Sources and testing protocol

What this validation is based on

The page is a research summary, not audited live performance. These are the internal files and rule assumptions behind the published metrics.

AreaSourceTest note
Market dataNormalized MES/MNQ continuous-contract intraday bars from work/databento_validation_normalized.Coverage checked from source CSVs: 2023-06-01 through 2026-05-29.
Replay enginework/drawing_board_edge_hunt_20260624.py plus work/prop_alpha_expanded_tournament.py.1-minute bars are resampled into the tested 2-minute and 5-minute execution views before signals are replayed.
Validation fileswork/prop_alpha_expanded_validation_20260625 and work/prop_alpha_portfolio_validation_20260625.Promoted candidates were rerun through 10,000 Monte Carlo prop-firm paths.
Rule templateTopstep-style 50K Combine/XFA simulator, verified from official Topstep help pages on 2026-06-25.Includes MLL, optional DLL, contract limits, micro ratio, consistency, payout-day, and automation caveats.
Costs$1.24 commission per side and 1 tick slippage per side in the current simulator template.Live fills must be audited before scaling. If costs drift, the strategy is paused.

Risk note

Strategy research is educational software and trading research, not financial advice. Backtests and Monte Carlo simulations can fail in live markets due to fees, slippage, latency, platform behavior, regime changes, and user execution.