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Algo Trade Analytics Docs

Start with the outcome you need

Algo Trade Analytics has two connected jobs: research a strategy and check what happens after the backtest. Choose the side that matches the question you have now.

Pillar 01 — Strategy research

Build and test the strategy in Algo Lab. Edit Pine Script, run a baseline, compare bounded changes, and keep the evidence behind the versions you decide to preserve.

Basic or Professional

Run your first Algo Lab baseline →

Pillar 02 — Live validation

Compare backtest → alerts → fills. First check whether TradingView alerts agree with the List of Trades export. When broker fills exist, review timing and price differences between alerts and those fills.

Backtest vs Alerts: all plans

Run the sample comparison →

After the first result, replace the sample or starter inputs with your own strategy data. You do not need to configure webhooks, a broker, Algo Lab, and every AI feature in one session.

Data sourceWhat it provesWhen you need it
TradingView List of Trades CSVWhat the historical strategy run says should have happenedBacktest vs Alerts
TradingView alert-history CSV or captured webhooksWhat the strategy emitted in real timeBacktest vs Alerts
Alpaca historical barsInput data for a native Algo Lab backtest when platform data is unavailableAlgo Lab
Alpaca fill reportsWhat the broker reports as filledAlerts vs Fills

Algo Trade Analytics is a research and reconciliation system. It helps you inspect evidence and discrepancies; it does not place trades or guarantee returns. A high match rate means more events matched under the tolerances you selected. It is not, by itself, proof that a strategy is profitable or appropriate for live capital.