Strategy Analytics

4 min readUpdated March 15, 2026

Strategy Analytics

Once you have created one or more strategies and tagged your trades accordingly, TraderNest generates detailed per-strategy performance analytics. This feature lets you objectively measure which strategies are profitable, which are not, and how each compares to the others. It removes guesswork from the question "Should I keep using this strategy?"

Accessing Strategy Analytics

Navigate to Strategy in the sidebar. Your strategies are listed with summary cards showing key metrics at a glance. Click on any strategy to see its full analytics breakdown. You can also access a comparison view that puts all strategies side by side.

Key Metrics per Strategy

For each strategy, TraderNest calculates:

  1. Total Trades — How many trades you have tagged with this strategy.
  2. Win Rate — Percentage of trades that closed in profit. Compare this across strategies to see which ones produce more winners.
  3. Profit Factor — Gross profit divided by gross loss. A profit factor above 1.5 is solid; above 2.0 is excellent. If a strategy's profit factor is below 1.0, it is losing money overall.
  4. Average R:R — The average risk-to-reward ratio. Tells you how much you win on winners vs. how much you lose on losers for this specific strategy.
  5. Total P&L — Net profit or loss from all trades tagged with this strategy.
  6. Average Trade Duration — How long trades typically last. Useful for understanding whether a strategy suits your schedule and style.
  7. Max Drawdown — The largest peak-to-trough decline within this strategy's equity curve. A low max drawdown relative to total P&L indicates a robust strategy.
  8. Expectancy — The average profit per trade. A positive expectancy means that over a large number of trades, the strategy makes money. A negative expectancy means it loses money regardless of short-term win streaks.

Comparing Strategies

The strategy comparison view is where this feature really shines. You can see all your strategies side by side with their metrics in a table format. This makes it immediately obvious:

  1. Which strategy is most profitable — Sorted by total P&L or profit factor.
  2. Which strategy has the best risk profile — Lowest max drawdown relative to gains.
  3. Which strategy you should stop using — Any strategy with a profit factor below 1.0 over 30+ trades is consistently losing money and should be retired or redesigned.
  4. Which strategy needs refinement — A strategy with a profit factor between 1.0 and 1.3 is marginally profitable and might become solidly profitable with rule adjustments.
Tip: A strategy needs at least 30-50 trades to produce statistically meaningful analytics. With fewer than 30 trades, random variance can make a bad strategy look good or a good strategy look bad. Be patient and collect data before drawing conclusions.

Equity Curve per Strategy

Each strategy has its own equity curve — a line chart showing cumulative P&L over time for just that strategy. This is separate from your overall cumulative P&L chart on the dashboard. Viewing individual strategy equity curves helps you:

  1. Identify whether a strategy's profitability is consistent or driven by a few outlier trades.
  2. See if a strategy has stopped working over time (declining equity curve in recent months).
  3. Determine if a strategy works better in certain market conditions (trending vs. ranging).

Making Actionable Decisions

1

Double Down on Winners

If a strategy has a profit factor above 1.5 over 50+ trades, it is working. Focus more of your trading time on this strategy. Consider whether it could handle slightly larger position sizes (while still respecting your risk rules).

2

Fix or Retire Losers

If a strategy has a profit factor below 1.0 over 30+ trades, stop using it. Either fundamentally redesign it (change entry criteria, exit criteria, or market conditions) or remove it entirely and focus on what works.

3

Investigate Marginal Strategies

If a strategy has a profit factor between 1.0 and 1.3, it might be profitable but needs refinement. Use Plan vs Actual to check whether discipline failures are dragging down an otherwise good strategy.

4

Check the Time Dimension

A strategy that was profitable 6 months ago but has been flat or declining for the past 3 months may have stopped working due to changed market conditions. Markets evolve, and strategies must evolve with them.

Availability

Strategy Analytics requires the Starter plan or higher. You need at least one strategy with tagged trades for analytics to populate.

Important: Strategy analytics are only meaningful if you consistently and honestly tag your trades. If you selectively tag only winning trades to a strategy, the analytics will paint a misleadingly positive picture. Tag every trade — winners and losers alike.

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