About us
We help traders and strategy builders turn TradingView ideas into tested strategies, then compare backtests, live alerts, and broker fills in one focused workflow.
Give every TradingView strategy a research record, not just a backtest.
A focused loop for strategy builders
Let the Algo Agent test Pine strategies, compare backtests to emitted alerts, then compare alerts to fills when broker data is linked. See where drift starts and what deserves another research pass.
We stay lean so we can ship weekly with early users, focusing on TradingView intake, broker-optional strategy validation, broker-synced fill analysis, and auditable research records.
Who this is for
Algo Trade Analytics is built for TradingView strategy builders, traders using webhook automation, and small teams that need to verify signal quality and fills before scaling a strategy.
What you can validate
- Backtest assumptions vs emitted live alerts
- Algo Agent iterations vs baseline evidence
- Alert timing vs broker fill timestamps
- Price drift, slippage, and missing signal events
- Pine export overlays for chart-level verification
Our mission
Give trading strategy builders an AI agent that has to prove its work. If a signal drifts, you see it. If Pine needs a new version, the Algo Lab tests it. If a fill slips, broker data turns it into measurable execution evidence.
Validate Strategy
Line up backtests with the alerts your TradingView code actually emits so you can validate strategy logic before connecting broker data.
Let the Agent Research
Use the Algo Lab to generate and stress-test Pine strategies, compare versions, and keep an evidence trail for each research decision.
Test Execution
Reconcile your alerts against real broker fills to expose the slippage, latency, and missing orders behind your live results — then export Pine overlays to verify the fix back in TradingView.