$100 lifetime access/first 1,000 members/realtime data is $20/month after launch.
Leroy ranks strategy classes across real historical market conditions, then shows the evidence behind each result.
Historical research only. Not investment advice, not a promise of future returns, and not a broker order.
The model is −0.05% today, −0.79% versus the available passive benchmark.
Paper Model Profit / Loss
Model Today
−$53.82
SPY Today
$741.42
VTI Today
Benchmark Proxy
Edge Vs VTI
Model Minus VTI
Latest Model Actions
A compact view of the latest paper fills that contributed to today’s result.
Recent research results
| Class | Public Model | Dates | Observations | Starting Capital | Modeled P/L | Return | Ending Value | Evidence |
|---|---|---|---|---|---|---|---|---|
| Neural Router | Router Cohort 1 | May 6, 2026 – Today | Trade Ledger | |||||
| Combo + Meta | Router Rule Set 4 | May 6, 2026 – Today | Validated | |||||
| Combo Algo | Strategy Pair 1 | May 6, 2026 – Today | Simulation | |||||
| Mono Algo | Strategy 1 | May 6, 2026 – Today | Full History |
Read it like this: if the modeled $100,000 research account followed the listed model over the listed date range, this is the ending value the simulation produced.
These are historical simulations, not live broker returns, investment advice, or future-return promises.
Research Preview
Visitors can see the structure: leaderboards, model classes, benchmark comparison, and proof-ledger workflow. The proprietary names, scores, and exact statistics stay locked until they have access.
Research Lab Locked
Subscribe to reveal exact strategy names, model scores, and exportable trade ledgers.
Historical Leaderboard
All completed research windows
Historical Leader
███ ██████
+██.██%
Neural Approval
Model █
██.█%
SPY Comparison
Today
±█.██%
VTI Comparison
Today
±█.██%
| Rank | Class | Model | Dates | Return |
|---|---|---|---|---|
| 1 | Neural | Cohort █ | May 6 – Today | +███.██% |
| 2 | Combo + Meta | Rule Set █ | May 6 – Today | +██.██% |
| 3 | Mono Algo | Strategy █ | Full Window | +██.██% |
| 4 | Validation | Context █ | Holdout | +█.██% |
How Leroy Works
Compare the result, verify the path, then decide whether the signal deserves more attention. The page keeps the details available without turning the pitch into documentation.
Minute Data
Since 2005
Historical one-minute stock bars powering repeatable simulations.
Strategy Classes
Mono To Neural
Single signals, combinations, meta rules, and adaptive models compared side by side.
External Sensors
Expanding
Kalshi-style event markets, macro, sector, breadth, volatility, and earnings context.
Trade Ledgers
Line By Line
Every headline result can be checked against the modeled buys and sells behind it.
The product answer is practical: it turns a pile of strategies, simulations, and model scores into a ranked short list you can inspect today.
Question
What Worked?
Proof
Ledger + Path
Next Move
Paper Or Review
Start with the practical question: which approach held up over this date range? Single algos, combinations, meta rules, and neural cohorts only compete when the coverage is comparable.
View
Leaderboard
Classes
Mono · Combo · Meta · Neural
Evidence
Complete Windows Only
A big number is not enough. Leroy keeps the result tied to the modeled buys, sells, gains, losses, and balance path that created it.
Start
$100,000
Check
Trade Ledger
Output
Line-By-Line Proof
The goal is not to worship one strategy forever. The stronger system asks which signal mix historically worked best under similar market conditions.
Signals
Breakout · Reversion · Momentum
Context
Time · Trend · Volatility
Model
Meta + Neural
The roadmap layers in external context like Kalshi-style event markets, macro calendars, sector pressure, breadth, volatility, and earnings risk.
Live
Supervised Workflow
Sensors
Market + Event Context
Research
Faster Reruns