Don't let your agent trade blind.

Leroy gives AI trading agents current market context and historical evidence through a free CLI or MCP connection. Propose a trade and see how the exact same setup performed in the past. Backed by evaluated trades.

Start free with MCPor
$npm install -g @leroylabs/cli

No card required. Free accounts include 100 lookups each month.

leroy evaluate ABNB
BUY evidence

Evidence Strength

ABNB@ $191.13
Signal Pattern
50signal-pattern observations

Strategy mix

41 evaluated
Buy 18Neutral 14Sell 9

Observed Outcomes

15 Min+0.84%62% win rate · lift +8.40
30 Min+2.46%64% win rate · lift +12.50
60 Min+3.18%68% win rate · lift +18.10

Connect to the trading stack you already use.

Robinhood
Alpaca
Webull
TradeStation
OKX
Coinbase

Bring Leroy into the same agent workspace you use to research and trade. It adds current context and historical evidence before execution.

The same evidence, wherever your agent runs.

Use the CLI from a terminal or connect through MCP. Both interfaces reach the same Market Memory and return structured evidence your agent can reason over.

CLI

Evaluate a ticker directly from the environment where your agent is already working.

$leroy evaluate ABNB
Read the CLI guide

MCP

Give an agent a direct research tool with explicit status, context, and historical outcomes.

Set a wake rule through MCP, and Leroy will wake your agent with signed evidence when a fresh setup matches.

connect leroy / research
See example requests

From request to response.

Scroll through the five passes behind a CLI or MCP answer. Every step adds context before Leroy returns the evidence.

Inputs

The agent sends the setup it is considering. Leroy does not need a candle dump or a giant prompt.

Command

Leroy CLI

CLI
$ leroy evaluate ABNB

Assess Market

The current market frame adds context around the setup: volume, benchmarks, breadth, and volatility.

Volume

1.38× avg

Elevated

SPY

+0.42%

Firm

VTI

+0.31%

Firm

Breadth

61% advancing

Positive

Volatility

Normal

Neutral

Read Strategy Signals

Each supported strategy reports a signal so the agent can see agreement, disagreement, and neutral signals.

Opening Range 30

+0.82

Buy

Donchian 20

+0.67

Buy

Relative Strength

+0.41

Buy

VWAP

0.00

Neutral

RSI 14

+0.04

Neutral

Bollinger

−0.08

Neutral

Find Historical Matches

Leroy searches the verified record for comparable setups and measures what followed them.

AAPL · Buy · 15 minutes

184 comparable historical setups

Matched

Average Return

+3.84%

Win Rate

63%

Profit Factor

1.42

Return Evidence

The agent receives the evidence, assumptions, and boundary in one deterministic response.

Possible Return

Evaluated

AAPL · buy

15-minute historical average

+3.84%

Samples

184

Win Rate

63%

Profit Factor

1.42

The archive behind the answer.

Terabyte-class market memory with more than 105 billion strategy evaluations across 41 registered strategies, indexed across decades of market history since 2010.

Cumulative strategy evaluations in Market Memory.

Since 2010

Historical market sessions prepared for repeatable research.

5/5

Match tiers from exact ticker setup to side baseline.

From market memory to a model.

Market Memory gives an agent current context, strategy signals, and historical outcomes. We're developing a paper model on top of that foundation—testing how those signals combine, exposing its decision threshold, and keeping every result inspectable.

Open Research Center
ClosedUpdated 11:59:17 PM Eastern

How’d the model do last session?

At this decision threshold, 22 trades would have executed and marked +0.33% after 15 minutes. Slide the threshold to compare all protectiveness levels.

Decision Threshold

Higher settings require stronger evidence, so fewer signals pass.

47%

SPY

−0.34%

VTI

−0.37%

Executed Trades

22

Wins v. Losses

12/10

15m Mark

+0.33%

Model Result

+0.33%

Executed Trades

22

12/10 Wins v. Losses

ModelSPYVTI9:30 AM – 3:58 PM Eastern

How did the model compare to SPY over the last 5 sessions?

The model beat SPY on 5 of 5 verified sessions.

Sep 23, 2026Beat

Model (P47)

+0.73%

vs

SPY

−0.69%

Sep 24, 2026Beat

Model (P38)

+3.02%

vs

SPY

+0.43%

Sep 25, 2026Beat

Model (P33)

+4.86%

vs

SPY

+0.37%

Sep 28, 2026Beat

Model (P41)

+0.49%

vs

SPY

−0.36%

Sep 29, 2026Beat

Model (P47)

+0.33%

vs

SPY

−0.34%

Give your agent a better question to answer.

Install the CLI, connect through MCP, and start with the evidence your agent needs.