Algo Trade Analytics
Algo Trade Analytics
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Platform Features

AI Research Suite for Algo TradingProven From Backtest to Live Fills

Every feature supports the same strategy workflow: the Algo Agent develops and stress-tests strategies, Backtest vs Alerts verifies the signal path, and Alerts vs Fills audits broker fills when broker data is connected. Professional also adds MCP access for users who want to run approved research tools from external AI clients.

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Feature set

Turn research into proven profitable strategies

Develop, test, compare, and audit in one workspace. Algo Lab captures agent research and backtest results; comparison tools show whether live alerts and broker fills preserve the strategy's intent. Professional users can also connect MCP-capable AI clients to approved research tools.

Algo Lab
AI workspace for strategy research

Build or import a Pine strategy, test it on historical bars, and let the Algo Agent suggest stronger versions. Every run stays tied to the idea being tested, the result it produced, and the evidence that separates profitable strategies from weak backtests.

Editor, backtest engine, and AI agent

Strategy versions ranked by test results

Case studies keep the research history

Backtesting Engine
Test every trade before alerts fire

Run Pine strategies against historical bars and inspect every entry, exit, drawdown, profit factor, and win rate. Optimization sweeps, walk-forward checks, and holdout runs help separate promising strategies from fragile backtests.

Historical-bar backtests, full trade tape

Optimization sweeps & walk-forward

Profit, drawdown, profit factor, win rate

Algo Agent
AI strategy improvement through tests

The Algo Agent reads the backtest, diagnoses weak spots, proposes Pine changes, tests new versions, and ranks strategies by the results. It is not just a code generator; it is the strategy research layer inside Algo Lab.

Diagnoses losses and proposes changes

Ranks strategies by tested results

Keeps the research record auditable

Backtest vs Alerts Comparison
Confirm real alerts match backtests

Compare TradingView backtests with the alerts your strategy actually emits. Start before connecting a broker, catch signal drift early, and move strategies forward only when the live alert path matches the backtest.

Broker-free comparison start

Timing and price tolerances

Backtest-to-alert drift detection

MCP Agent Toolpack
MCP Agent with quant tools

Professional exposes approved Algo Lab tools over MCP so Codex, Claude Code, Cursor, ChatGPT, and other MCP clients can run backtests, sweeps, gates, and strategy research without direct database access. Results return to your Algo Lab case studies.

External AI agents can run approved tools

Backtests, sweeps, gates, and research jobs

Metered, revocable access with saved results

Alerts vs Fills Analysis
Check fills preserve strategy intent

Alerts show the strategy's intent; broker fills show what actually happened. Algo Trade Analytics reconciles every TradingView signal against the fill that followed, surfacing slippage, latency, missed trades, and execution gaps that can erode live returns.

Broker fill reconciliation

Missed/extra fills detection

Portfolio performance

Algo Lab — AI Strategy Research

Your AI research loop in one environment

Editor, backtesting engine, Algo Agent, and case studies work together. Code on the left, trade results on the chart, and an AI strategy agent reviewing every run. Each iteration is saved with the idea being tested, the result it produced, and the evidence that separates profitable strategies from weak backtests.

Algo Lab — Pine editor, backtesting engine, Algo Agent, and case studies
Professional MCP Feature

Run approved research tools from your AI agent

Professional exposes the Algo Lab research toolpack over MCP, so Codex, Claude Code, Cursor, ChatGPT, or another MCP-capable client can run approved backtests, sweeps, gates, and strategy research without local database credentials. Results return to your Algo Lab case studies for review.

MCP research case study in the Algo Lab: 46 strategy variants, 613 trials, and the evidence summary with coverage and open checks
Backtest Validation

Compare backtests with real alerts

Line up TradingView backtests with the alerts your code actually emits. Start without a broker connection, catch signal drift early, and move strategies forward only when the alert path matches the backtest.

Backtest vs Alerts Dashboard
Fill Analysis

Compare every signal to its real broker fill

Your alert is the strategy's intent; the broker fill is what actually happened. Algo Trade Analytics reconciles every signal against the fill your broker returned, surfacing slippage, latency, and missed orders that can quietly erode live returns.

Alerts vs Fills Dashboard
Real-Time Monitoring

Monitor performance in one place

Track lab runs, alerts, broker-reported fills, and portfolio context with a pro-grade dashboard. Keep research evidence and fill evidence together without confusing one for the other.

Trading Dashboard

Ready to sign off a real trading strategy?

Start with a strategy, compare real alerts, run lab iterations, and add broker fill review when you are ready to validate execution.

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