Scan the stats, equity curve, Monte Carlo, and screenshots first.
Strategy Lab
Prop-firm strategy research, ranked by survival first. The current best shelf anchor is the MNQ/MES DBP Morning Filter Router: a demo-gated candidate with strong funded survival math, but still blocked from paid-eval automation until fresh live data and one supervised paper bracket are proven.
Each strategy has a deeper dashboard and PDF research brief.
Paid releases will include parameters, code, and execution notes.
Quick read
Use the shelf like a filter.
The shelf is sorted by decision quality: current demo candidates first, then archived routers, then free study examples. Live automation is not claimed until broker-connected paper logs prove fills, timestamps, brackets, and fail-closed behavior.
556 filtered trades
3.56 trades/week
60.8% win rate
2.06 profit factor
74.3% 44d pass
98.7% funded payout
Apress audit pass
No automation claim
Current decision sheet
Best current routeable candidate: MNQ/MES DBP Morning Filter Router. It keeps 556 trades from the detector-ready opening-structure portfolio and skips one DBP open-drive reclaim slice during 08:00-08:59 entry time to reduce failure-tail risk. It is a site candidate and demo candidate, not paid-eval automation yet.
| Model | Status | Trades | Freq | Win | Exp | PF | Eval | Funded | Decision |
|---|---|---|---|---|---|---|---|---|---|
| MNQ/MES DBP Morning Filter Router | Demo candidate | 556 | 3.56/wk | 60.8% | +0.383R | 2.06 | 74.33% pass / 26d median | 98.69% payout | Current best anchor; blocked only by live-data/paper-bracket proof |
| Strict Funded Observation Guard | Internal watchlist | 350 | 2.25/wk | 64.9% | +0.285R | 1.80 | 57.6% pass / 86d median | 95.3% payout | Good funded survival; not eval automation yet |
| Raw Detector-Ready Book | Research context only | 620 | 3.98/wk | 65.7% | +0.389R | 2.30 | 90.8% pass before strict route | 99.8% payout before strict route | Useful, but not the orderable result |
| No-Leak Prop Anchor | Corrected research anchor | 605 | 3.88/wk | 64.6% | +0.285R | 1.85 | 89.2% pass / 61d median | 99.7% payout | Keep as audit anchor; no live account yet |
| MES Power-Hour Positive Add-On | Rejected: leakage audit | 26 add-on rows | Outcome-filtered | Invalid | Invalid | Invalid | Do not promote | Do not automate | Rebuild only with pre-entry regime labels |
| MNQ Prior-Day Sweep 4R Sleeve | Internal watchlist | 55 | 0.36/wk | 32.7% | +0.529R | 1.71 | Improves speed only as tiny-risk sleeve | Strong but sparse | Keep researching; not standalone |
| MNQ Rolling Sweep 1.75R | Rejected for routing | 163 | 1.04/wk | 49.7% | +0.226R | 1.39 | Worse than anchor after strict stress | Not enough portfolio value | Detector passed; route failed |
| PBX Pullback Expansion | Mutation family only | 55-98 | Sparse | 32-38% | +0.20R range | ~1.3 | Did not beat anchor | Funded behavior acceptable | Modify, do not sell |
What this means: the current best anchor is no longer the older strict 350-trade observation guard. The DBP morning-filter router has better public shelf stats, stronger funded survival, and a detector patch that can be observed live.
Current robustness gate: 556 trades, 60.8% win rate, +0.383R expectancy, 2.06 profit factor, 5.63R historical max drawdown, 74.33% 44-day pass, and 98.69% funded60 payout under the safe/default governor.
Current blocker: the launch gate is still NO-GO for paid evaluation because fresh current data, one fresh accepted signal, and one supervised paper bracket have not been proven.
Prop account timing: use this for paper/demo observation first. Buying an evaluation before the paper-bracket gate passes would be testing platform plumbing with real challenge risk.
Research Archive
Archive context: older candidates are retained for comparison and evidence review. They are not the current automation anchor unless they pass the newer no-leak audit, local paper rehearsal, and broker-connected paper observation gates.
| Profile | Eval pass | Fail | Funded payout | Cost stress | Median timing | P95 DD | Frequency | Verdict |
|---|---|---|---|---|---|---|---|---|
| Filtered Open-Drive + Prior-Day Sweep Demo / $275->$125 risk | 90.3% | 2.5% | 89.99% pass+payout path | Miss7 89.6% / Miss5 82.6% / random 80.0% | 95d pass+payout path | $1,728 eval / $855 funded | 2.92/wk | Best current demo candidate; needs frozen-gate walk-forward before automation |
| Exact 50K rule matrix / Topstep-style $225->$125 | 97.8% | 0.1% | 97.8% pass+payout path | Random miss + extra cost: 95.4% | 114d base / 128d stressed | P95 ~$1,333-$1,346 / P99 ~$1,634-$1,650 | 2.92/wk | Demo automation candidate; needs paper fill audit before live use |
| Exact 50K rule matrix / Tradeify Select Flex $225->$125 | 98.0% | 0.1% | 98.0% pass+payout path | Random miss + extra cost: 95.6% | 113d base / 128d stressed | P95 ~$1,336-$1,337 / P99 ~$1,643-$1,650 | 2.92/wk | Best firm fit so far if EOD drawdown rules remain current |
| Opening Structure + Midday Sweep / $250 eval risk | 82.2% | 2.2% | 99.0% at $125 funded risk | +0.10R per trade | 67d eval / 47d payout | $1,709 eval / $772 funded | 2.63/wk | Best strict live-guard eval profile |
| M1 Active RTH Add-On / $125-$150 funded risk | 76.8% at $200 eval risk | 1.8% | 99.6% | +0.10R per trade | 72d eval / 29-35d payout | $1,640 eval / $850-$969 funded | 3.10/wk | ATR-state funded watchlist; not default eval profile |
| Open-Drive Reclaim Eval + M1 State Funded / $250->$125 risk | 85.2% | 2.0% | 99%+ funded survival path | +0.10R plus missed-fill stress | 102d pass+payout path | $1,712 eval / $847 funded | ~2.7-2.9/wk | Primary challenger; higher base pass+payout, not demo-ready |
| Open-Drive Reclaim Aggressive Eval + M1 State Funded / $275->$125 risk | 87.9% | 2.9% | 99%+ funded survival path | Higher eval risk frontier | 98d pass+payout path | stress screen: 80.4% miss7 | ~2.7-2.9/wk | Primary aggressive challenger; below 3% base eval-fail target |
| Open-Drive + Prior-Day Sweep Add-On / unfiltered $265->$125 risk | 89.1% | 2.8% | 99%+ funded survival path | Miss7 88.9% / Miss5 78.0% | 96d pass+payout path | $1,770 eval / stress-screened funded | 3.04/wk | Superseded by filtered demo candidate; random execution stress was weaker |
| Opening Structure + Midday Sweep / $150 funded risk | 44.8% at $150 eval risk | 0.1% | 99.6% | +0.10R per trade | 93d eval / 35d payout | $1,095 eval / $855 funded | 2.63/wk | Best funded-survival profile |
| Strict Opening Structure control / $250 eval risk | 73.1% | 2.2% | 95.7% at $125 funded risk | +0.10R per trade | 74d eval / 59d payout | $1,678 eval / $794 funded | 2.25/wk | Routeable baseline before midday add-on |
| Detector signal book reference / $200 eval risk | 90.9% | ~0.9% | 99.7% at $125 funded risk | +0.10R per trade | 59-60d eval / 41-42d payout | ~$1,480 eval / ~$830 funded | 3.98/wk signal book | Research reference only; not fully routeable under strict live guard |
Practical recommendation: paper-test the governed filtered prior-sweep candidate before any live account. The confirmed gate is frozen: early NY-open signals only, pre-entry regime contains positive, $225 eval risk, $125 funded risk, max three trades per day, $400 daily stop, $650 daily lock, and half risk after $800 modeled drawdown.
Exact 50K rule update: the governed version was confirmed across 15,000 paths per row against Topstep-style and Tradeify Select Flex 50K rule models. Base pass + payout held near 97.8%-98.0%, random missed-fill plus extra-cost stress held near 95.4%-95.6%, and p99 evaluation drawdown stayed around $1,634-$1,650. This promotes it to demo automation candidate, but not live-funded ready until broker fill logging and intraday breach monitoring are verified.
Demo package status: a paper-prep package is staged with live-safe signal replay, order-intent replay, governor-state template, fill-log schema, kill-switch rules, and acceptance checklist. The live-safe files contain 455 replay rows and intentionally exclude outcome fields such as result, MAE, net R, and hold time.
Observation harness: replay validation processed 455 live-safe signals with zero order or fill events. A separate fail-closed test blocked 80/80 signals when the news calendar was unavailable. This is observation-ready, not broker-routing ready.
Two-phase prop policy: the best current eval-to-funded route is anchor at $250 eval risk, then M1 Active RTH at $125 funded risk after passing. In 20,000 modeled paths this produced 81.8% pass + payout, 2.3% eval fail, 0.04% funded fail after pass, and 105 median trading days on successful paths.
New research branch: the strongest mixed policy uses the Open-Drive Reclaim sleeve for evaluation, then switches to the M1 State Router for funded mode. In 10,000 modeled base paths it produced 84.7% pass + payout, 2.0% eval fail, 0.05% funded fail after pass, and 102 median trading days.
Risk frontier: the cleaner aggressive sleeve now uses Open-Drive Reclaim variant 066 at $275 eval risk, then M1 State Router at $125 funded risk. In 20,000 paths it reached 87.9% pass + payout, 2.9% eval fail, 98 median trading days, and 80.4% pass + payout under miss-every-7 stress. $300+ is not the default because breach risk rises too much.
Filtered prior-sweep update: the frozen positive-regime prior-sweep filter reached 89.99% pass + payout, 2.53% eval fail, 95 median trading days, 89.6% miss-every-7, 82.6% miss-every-5, and 80.0% random missed-fill plus extra-cost survival across 20,000 paths. It is promoted to demo candidate, not automation candidate, until split-period validation holds.
Rule update: strict live-guard simulation is now the default prop gate. Raw detector-book pass figures are retained only as research context.
Detector gate status: complete for the 620-row signal book and the midday sweep add-on. Strict routing currently accepts 410 trades. Next gate is observation-only forward logging before paper routing.
Older shelf preview
Prop Eval Blend 80
A historical shelf model kept for evidence review. It is not the current automation anchor. Use this page to compare older research against the newer prop-governed anchor.
Open full evidence dashboardTrades457closed historical signals
Win rate80.7%blended signal set
Target RR0.3-1.25Rcontext-specific exits
Net return+78.5Rnormalized risk units
Profit factor1.82gross wins / gross losses
Max drawdown5.51Rhistorical path
MC p90 DD8.47Rbootstrap stress path
120d prop read68.7%$350 risk pass estimate
120d fail read7.8%$350 risk fail estimate
Equity Curve Preview
public evidence
Locked
Private strategy file
Unlock includes the rule sheet, stop/target model, platform notes, and source code.
Payment unlock coming soon
TradingView proof layer
TradingView buyer assets are staged.
TradingView PineScript previews and source files are built and staged privately. Public chart screenshots are attached on strategy pages as each script passes the compile/add-to-chart check.
One LuxAlgo Quant AI generated script per current shelf strategy.
Opening Drive Reclaim now has a live chart preview; the rest remain in the staged buyer packet.
No .pine or .lux.pine files are placed under public_html.
What the data means
Deep enough to trust, simple enough to scan.
Each candidate is normalized in R-multiples, then shown with drawdown, profit factor, Monte Carlo stress, and prop-style pass/fail estimates where available.
Live dashboards23working public routes after deploy
Newest prop routerMNQ 1-Min Open Drive Router360 trades / 62.8% win / PF 1.98
ModelingR-baseddrawdown and prop-style stress
Evidence window2023-2026where full replay exists
Results can scale across small accounts or prop sizing.
Risk sizing is compared against historical and simulated drawdowns.
Pass/fail reads estimate challenge pressure, not guaranteed outcomes.
No model is called live-approved until demo fills match the research.
Research vault
Strategy shelf
Cards are research pages, not equal recommendations. Prioritize status first: paper observation beats site candidate, site candidate beats internal watchlist, and no page is live automation-approved yet.
MNQ/MES DBP Morning Filter Router
A 556-trade hierarchical opening-structure router with one DBP morning slice removed to reduce prop-firm failure-tail risk. Site and demo candidate; not paid-eval automation until live paper proof.
- Win
- 60.8%
- RR
- 1.0-1.75R mix
- Trades
- 556
- 44d pass
- 74.33%
- Funded
- 98.69%
Portfolio Forward Replay
Low-frequency prop-survival router combining Open Drive Quality with four sleeves under one global risk governor. Strong anchor, not a scalper.
- Win
- 68.3%
- RR
- 1.0-1.5R
- Freq
- 1.04/wk
- Eval pass
- 99.7%
- Funded
- 100.0%
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.
- Win
- 60.2%
- RR
- 1.0R
- Trades
- 221
- Eval pass
- 95.1%
- Median
- 28d
Open Drive Speed Pass
A faster open-drive reclaim variant designed for aggressive prop-evaluation attempts, with a validated speed-pass governor frontier.
- Win
- 63.0%
- RR
- 1.0R
- Trades
- 165
- Eval pass
- 94.8%
- Median
- 26d
Open Drive OR Boost Portfolio
A higher-frequency portfolio combining Open Drive Prop 95 with a reduced-risk opening-range failed-break add-on.
- Win
- 58.2%
- RR
- 1.0R, OR add-on at 0.5x risk
- Trades
- 416
- Eval pass
- 93.1%
- Median
- 46d
MES Clean Power Hour Router
A MES-focused RTH router combining clean midday and power-hour continuation/reclaim sleeves under a prop-firm governor.
- Win
- 65.2%
- RR
- 1.0-1.5R
- Trades
- 279
- Eval pass
- 95.2%
- Median
- 51d
MNQ 1-Min Open Drive Router
A one-minute MNQ open-drive reclaim sleeve routed into the MES clean prop anchor for higher frequency without accepting the rejected high-frequency scalper risk.
- Win
- 62.8%
- RR
- 1.0-1.5R
- Trades
- 360
- Eval pass
- 98.3%
- Median
- 45d
MNQ Open Drive Active RTH Router
A faster one-minute MNQ active-RTH/open-drive router with a newly verified evaluation governor targeting faster pass speed without accepting the rejected high-frequency graft risk.
- Win
- 60.7%
- RR
- 1.0-1.5R
- Trades
- 471
- Eval pass
- 98.2%
- Median
- 28d
Prior Day Sweep Portfolio Overlay
An independent prior-day sweep reclaim sleeve added to the MNQ active-RTH speed anchor, improving frequency and median pass speed without duplicating existing trades.
- Win
- 61.0%
- RR
- 1.0-1.5R
- Trades
- 592
- Eval pass
- 99.1%
- Median
- 25d
Opening Failed-Break Portfolio Add-On
A long-only opening failed-break add-on layered onto the active-RTH plus prior-day sweep portfolio, increasing trade frequency and cutting modeled median eval pass time.
- Win
- 61.6%
- RR
- 1.0-1.5R
- Trades
- 672
- Eval pass
- 99.1%
- Median
- 21d
Opening Structure Speed Portfolio
A faster one-minute opening-structure portfolio branch with balanced, safe, and aggressive eval profiles. The balanced profile is the default because it keeps speed while surviving cost stress better.
- Win
- 62.0%
- RR
- 1.0-1.5R
- Trades
- 756
- Eval pass
- 99.4%
- Median
- 18d
Opening Structure Plus Portfolio
An older additive speed branch with active-day pass-speed context. Kept as research archive; the strict live-guard router is now the headline anchor.
- Win
- 62.7%
- RR
- 1.0-1.5R
- Trades
- 796
- Eval pass
- 99.5%
- Median
- 17 active days
Opening Structure + Midday Sweep Guard
Closed-bar MES/MNQ opening-structure router plus a midday sweep add-on, tested with one active position, two trades/day, daily locks, and cost stress.
- Win
- 64.9%
- RR
- 1.0-1.5R
- Trades
- 410
- Eval pass
- 82.2%
- Median
- 67 weekdays
M1 Active RTH Add-On
A state-routed one-minute MNQ active-RTH sleeve layered onto the strict anchor for faster funded payout timing, enabled only when ATR state is acceptable.
- Win
- 63.6%
- RR
- 1.0-1.5R
- Trades
- 484
- Eval pass
- 76.8%
- Funded
- 99.6%
Power Hour Prior Sweep
A 1-minute power-hour prior-day-low sweep reclaim model with strong funded-mode survival and solid evaluation pass behavior.
- Win
- 62.8%
- RR
- 1.0R
- Trades
- 86
- Eval pass
- 91.5%
- Median
- 26d
VWAP Snap Funded Demo
A 2-minute MES/MNQ NY-open VWAP mean-reversion snap candidate with improved funded-mode behavior and still-elevated evaluation drawdown risk.
- Win
- 57.3%
- RR
- 1.0R
- Trades
- 248
- Eval pass
- 74.1%
- Median
- 35d
Midday Overnight Sweep Reversal
A 5-minute MES/MNQ long-only midday overnight-liquidity sweep reversal with a 1.5R target and low-risk prop governor.
- Win
- 53.2%
- RR
- 1.5R
- Trades
- 141
- Eval pass
- 88.1%
- Median
- 46d
Prop Eval Blend 80
Blended MES-focused model with higher prop pass speed and controlled drawdown.
- Win
- 80.7%
- RR
- 0.3-1.25R
- Trades
- 457
- PF
- 1.82
- Net
- +78.5R
Prior Sweep Momentum 80
Faster MES-focused signal stream built from the flagship baseline plus a guarded prior-sweep add-on.
- Win
- 80.0%
- RR
- 0.3-1.25R
- Trades
- 476
- PF
- 1.83
- Net
- +85.5R
Midday Sweep Model 85
High-win monitored-demo candidate with cleaner prop-fail math than the faster signal streams, but slower pass speed.
- Win
- 84.9%
- RR
- 0.3-1.25R
- Trades
- 390
- PF
- 2.13
- Net
- +71.5R
MNQ Range Expansion 96
MNQ range-bar research candidate with high expectancy but smaller sample.
- Win
- 59.3%
- RR
- 1.5R
- Trades
- 108
- PF
- 2.24
- Net
- +58.7R
Prior Sweep Stack 79
Aggressive MES-focused signal stream with higher frequency, better suited to discretionary/demo use than unattended unattended automation.
- Win
- 79.8%
- RR
- 0.3-1.25R
- Trades
- 485
- PF
- 1.81
- Net
- +87.0R
Fade Pulse Research
Faster failed-auction style model; promising but still needs broader validation.
- Win
- 61.6%
- RR
- ~1.25R
- Trades
- 112
- PF
- 1.66
- Net
- +31.9R
Free PDF and public dashboard are open now. Use these for study and forward-test practice, not live trade advice.
Free C-tier researchFailed Auction Short Research
MES-focused short-side research branch with a larger sample and moderate edge.
- Win
- 56.8%
- RR
- ~1.25R
- Trades
- 199
- PF
- 1.34
- Net
- +32.9R
Free PDF and public dashboard are open now. Use these for study and forward-test practice, not live trade advice.
Free C-tier researchMES Bollinger Reclaim Research
Profitable MES power-hour Bollinger reclaim study. It did not meet the 70%+ premium signal threshold, so it is filed as free research/context rather than unattended automation.
- Win
- 57.8%
- RR
- 0.75R
- Trades
- 367
- PF
- 1.22
- Net
- +23.3R
Free lower-tier research. Useful as context/filter study; not promoted as a standalone 70%+ signal or automation-ready prop model.
Free C-tier researchVWAP Midday Reclaim Research
Very conservative MES/MNQ midday VWAP sweep-reclaim study. The win rate is close to the desired bar, but the sample is too small and the trade frequency is far below the daily-signal goal.
- Win
- 68.3%
- RR
- 1.0R
- Trades
- 60
- PF
- 2.00
- Net
- +16.7R
Free C-tier conservative research. Positive historical read, but too infrequent for the active signal engine we are hunting now.
Free C-tier researchOpening Drive Reclaim Research
MES/MNQ New York open continuation study with a quality mode and a higher-frequency mode. This is a stronger lead than the C-tier research, but still demo-only until stress-tested further.
- Win
- 63.0%
- RR
- 1.0R
- Trades
- 165 / 516
- PF
- 1.56 / 1.24
- Net
- +34.3R / +50.6R
B-minus research/demonstration candidate. Positive historical read with useful frequency option, but not labeled prop-ready automation.
Free B- research preview
The honest hard part
Passing faster without breaking the edge.
The current flagship is slow because it waits for rare, clean setups. To improve eval speed, the right move is not forcing low-quality trades. The right move is adding independent validated modules that trade different conditions while sharing the same prop guard.
- Clean path: add one or two independent modules with non-overlapping market states.
- Riskier path: size 2 ES for the challenge, then drop size after passing.
- Bad path: loosen filters until it trades daily and destroys the drawdown profile.
Unlock and payment area
Locked strategy files will unlock the exact entry/exit rules, stop and target parameters, platform notes, and code delivery. Stripe checkout is not connected yet, so locked buttons currently route here for access requests.
Audit trail
How the strategy data was tested
Each public dashboard is built from local historical replay artifacts, then stress-tested with normalized R-multiple stats, equity curves, Monte Carlo paths, and modeled prop-style pass/fail simulations. The exact playbook stays locked unless a strategy is marked free or unlocked.
MES and MNQ are CME Group Micro E-mini equity-index futures. Contract specs and tick structure are linked below so buyers can verify the instrument being modeled.
CME MES contract specs CME MNQ contract specsResearch artifacts were generated from local futures replay files and Databento historical-data pulls where available, then converted into strategy-level closed-trade CSVs.
Databento Historical API docsHeadline prop reads now use calendar-aware 120-weekday Monte Carlo paths, include zero-trade weekdays, and apply +0.10R execution-cost stress where noted. Older active-day-only reads are retained only as research context.
These are not broker statements, audited live fills, or financial advice. Slippage, latency, platform behavior, missed trades, rule changes, and market-regime shifts can break live results.
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.