Founding lifetime access: $100, $250, or $500
Then $100/month. 642 spots left.
Leroy turns a terabyte-class market archive into ranked strategies, model evidence, and trade-by-trade proof you can actually inspect.
Ask a what-if market question.
What happened when you tradedDonchian Breakout 20onARMthe last 30 sessions
Result
+$
Return
Trades
Historical research only. Not investment advice, not a promise of future returns, and not a broker order.
Start with a trading idea. Replay it. Compare it. Add context. Then let the model decide whether it still deserves attention.
The point is knowing which ideas survived contact with the data.
01
Ask the clean question first: what would this strategy have done on this ticker over this window?
Signals
1 Active
Research Engine
Inputs are scored, compared, and resolved into evidence.
Result Evidence
Return
Drawdown
Trades
The output stays tied to replayable results: return, risk, trade count, and ledger evidence.
02
Then measure whether two or more strategies agreeing actually improves the outcome.
Signals
2 Active
Research Engine
Inputs are scored, compared, and resolved into evidence.
Result Evidence
Lift
Win Rate
Trades
The output stays tied to replayable results: return, risk, trade count, and ledger evidence.
03
The same signal means different things in different markets. The lab measures the conditions around it.
Signals
2 Active
Context Layer
Inputs are scored, compared, and resolved into evidence.
Result Evidence
Matches
Hit Rate
Edge
The output stays tied to replayable results: return, risk, trade count, and ledger evidence.
04
Finally, the model scores what survived and separates trades worth attention from trades to block or shadow-track.
Signals
2 Active
Model Router
Inputs are scored, compared, and resolved into evidence.
Result Evidence
Approved
Blocked
Shadow
The output stays tied to replayable results: return, risk, trade count, and ledger evidence.
Approved paper fills are −0.08% today. At this strictness, 426 blocked candidates would have fired and marked +2.29% after 15 minutes.
Model Protectiveness
Lower = more signals. Higher = more protection.
34%
Would Fire
426
Wins / Losses
244/175
15m Mark
+$2,285.07
Approved Model
−0.08%
−$81.67
Blocked What-If
+2.29%
426 Would Fire
SPY Today
+0.48%
$747.42
VTI Today
+0.27%
Benchmark Proxy
Latest model actions
Recent paper fills behind the model line.
Research Center
The paid research center turns the archive into searchable replays, model comparisons, and proof ledgers. Subscribers see the exact strategy names, scores, decision paths, and trade-by-trade results.
Market Archive
Terabyte-Class
Cleaned, stored, indexed, and turned into repeatable simulations.
Minute Data
Since 2005
Historical one-minute stock bars powering repeatable simulations.
Strategy Types
Rules To Models
Single signals, blended signals, context filters, and adaptive models compared side by side.
Trade Ledgers
Line By Line
Every headline result can be checked against the modeled buys and sells behind it.
Lifetime Simulation View
Ranked results, benchmark context, and modeled account value stay tied to the trade ledgers behind each simulation.
| Class | Public Model | Dates | Observations | Starting Capital | Modeled P/L | Return | Ending Value | Evidence |
|---|---|---|---|---|---|---|---|---|
| Latest Model | Latest Model | Today | Live Paper Snapshot | |||||
| Signal Blend | Strategy 61 | Apr 21, 2026 – Jun 30, 2026 | Validated Result | |||||
| Signal + Context | Strategy + Context Rule | May 7, 2026 – Jun 30, 2026 | Validated Result | |||||
| Signal Blend | Strategy 85 | Apr 23, 2026 – Jun 30, 2026 | Validated Result |
These are research simulations and paper snapshots, not live broker returns, investment advice, or future-return promises.