Trade Lab — Track Every Strategy, Find Where It Wins

Trade Lab lets you name, track and compare trading strategies independently. Best conditions and danger zones surface automatically from your own trade history — no manual filtering. Updated 13 October 2026.

What is a trading strategy tracker?

A trading strategy tracker records each named strategy's trades separately and compares the results. In The Trading Terminal, Trade Lab (Elite, A$29/mo) tracks win rate, expectancy, profit factor and drawdown for every strategy, and shows its best conditions and danger zones from your own trade history.

Why Strategy Tracking Matters

Most traders run 2–4 strategies simultaneously — different setups, different sessions, different instruments — without clean data on which one is actually generating the edge. Total win rate and total P&L blend everything together, which makes it impossible to know whether your London session breakout is carrying your account or draining it.

Trade Lab solves this by treating each named strategy as a separate dataset. Tag a trade as "London Breakout" or "Asia Range Fade" when you log it, and Trade Lab builds a full performance profile for each strategy independently — win rate, expectancy, profit factor, R-distribution, best conditions and danger zones. You can run 6 strategies in parallel and get clean data on all 6.

Backtesting and Live Journal Data Answer Different Questions

Backtesting shows what a set of rules would have done on historical data. It is useful for initial validation, with two well-known problems: look-ahead bias (you know what happened, which colours how you read the chart) and curve-fitting (adjusting rules until they fit the past). Research on your own journal is different because you tagged the trades at the time, under real conditions. The Trading Terminal is a journal and analytics platform rather than a backtesting engine, so it works from the trades you log. Three questions the journal can help answer: does the strategy have a positive expectancy over enough trades, in which conditions has it worked best, and in which has it done poorly.

Tracking Each Strategy Under Its Own Name

Mixing every setup together in one journal averages very different strategies into a single win rate. Trade Lab keeps each named strategy as a separate group of trades with its own expectancy, profit factor, drawdown profile and session breakdown. With two strategies, for example "BOS entry" and "discount array reversal", you can see whether they have similar profiles or whether one is pulling the other's numbers down. Strategies can then be ranked by expectancy and profit factor from your own results. What to do with the ranking is the trader's decision.

Confluence Analysis

A confluence is any condition that independently supports a trade thesis, such as a key level, a session window, a liquidity sweep or a higher-timeframe alignment. If you tag each trade with the confluences that lined up, the data can show whether trades with two confluences have a similar expectancy to trades with four, or whether additional confluences coincide with a better or worse result in your own history. Trades with many confluences are fewer, so the sample behind them is smaller and the numbers are less steady. Your results will differ from anyone else's, which is the point of using your own data.

Best Conditions and Danger Zones

Best-conditions scanning finds the combinations of session, setup, instrument and market condition where your expectancy has been highest. Danger zones are the inverse: combinations where your results have been consistently weak, such as a particular pair in a particular session. Do Not Trade lists the danger-zone conditions found in your own journal history, with a minimum sample so a handful of trades does not create one. They describe past results and are not predictions.

Comparing Strategies on the Same Terms

Useful measures for a like-for-like comparison are expectancy per trade, profit factor, maximum drawdown, win rate, average R:R and sample size. A strategy with a lower win rate can have the higher expectancy. Comparing over the same period and market conditions is fairer than setting a new strategy's early results against an older strategy's long history. Strategy Comparison in Trade Lab puts two or more strategies side by side on these measures; the definitions are on how we calculate.

Strategy Research Tools