> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tradex.so/llms.txt
> Use this file to discover all available pages before exploring further.
# Strategy Analysis
> Analyze your trade data to see per-strategy performance, key loss patterns, and other detailed insights.
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## Best & Worst
See the strategy combinations with your highest and lowest win rates to date.
* **Best-performing strategy**: The strategy combination with your highest win rate.
* **Worst-performing strategy**: The strategy combination with your lowest win rate.
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## Custom Strategy Analysis
Select any strategy combination you want to analyze and explore its insights.
* The indicators, timeframes, technical setups, and other strategy items you record in your journal feed these filters.
* Select any strategy to see its win rate and performance insights.
* Use the calendar and exchange filters at the top.
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## Strategy Analysis Metrics
The concepts behind each strategy analysis metric and its insight data.
### 1. Overview
The basic overview of a strategy.
* **Total trades**: The total number of trades using this strategy.
* **Win rate**: The win rate of trades using this strategy.
* **Average profit**: The average profit of trades using this strategy.
* **Average R/R**: The risk/reward ratio of trades using this strategy.
* **Cumulative profit**: The cumulative profit of trades using this strategy.
* **Longest streaks**: The longest winning and losing streaks for this strategy.
* **AI insights**: The AI analyzes your trade data and strategy to suggest improvements and insights.
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### 2. Expectancy
Validate your strategy with a metric far more reliable than raw win rate.
To get the most out of strategy analysis and its insights, be sure to read the [**concept guide**](/en/etc/expectancy).
* **Expectancy**: How much you earn per trade on average, expressed in R. Here, R is the unit of risk the trader takes on in a single trade.
* **Sample confidence**: A metric for validating a strategy based on its number of trades. If a strategy has only a few trades, a high win rate and expectancy may simply be luck.
* **Win rate confidence interval**: Tells you how much you can trust your current win rate — the range your future win rate will fall into with 95% probability.
**Q. Why does this metric matter?**
A. Expectancy tells you how much you earn per trade on average. No matter how high a strategy's win rate is, a low expectancy means the losses cost far more than the wins earn. Check your expectancy regularly to verify the strategy still works in the current market over the long run.
**Q. How do I use it?**
A. If expectancy is negative, the strategy is structurally unable to make money over the long run — stop trading it immediately and analyze the cause or try a different strategy. Conversely, if expectancy is 0.4R or higher, it's a stable, healthy strategy — keep it consistent and consider increasing your trade count or position size.
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### 3. R-Multiple Distribution & Outlier Dependence
Looking at the distribution of every trade in a strategy reveals whether a few lucky trades created the overall performance.
To get the most out of strategy analysis and its insights, be sure to read the [**concept guide**](/en/etc/r-multiple).
* **R-Multiple distribution**: A graph that buckets all trades by R range.
* **Distribution statistics**: See your maximum profit and loss, median and skew, and outlier dependence.
**Q. Why does this metric matter?**
A. If you made a 50% return over 100 trades but 40% of it came from a single trade, you were probably just lucky. The more stable a strategy, the more evenly its profits are spread across trades. Use this metric to keep checking your strategy's stability.
**Q. How do I use it?**
A. If the bars extend well to the right, it's a good strategy. If they're lopsided or only a few bars spike, the strategy is risky and luck-dependent.
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### 4. MFE / MAE Analysis
Analyzes the most favorable and most adverse price points in each trade to optimize your stop-loss and take-profit placement.
* **MFE (Maximum Favorable Excursion)**: The point where price moved most in your favor during the trade.
* **MAE (Maximum Adverse Excursion)**: The point where price moved most against you during the trade.
* **AI insights**: Compares against your actual exit prices to identify problems like premature take-profits or inefficient stop placement, and provides optimization simulations.
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### 5. Scenario Compliance Score
Compares the scenario and TP/SL you entered in your journal against your actual trades.
* **Scenario compliance score**: The share of trades closed at the TP/SL values you set in the pre-trade scenario.
* See the losses caused by risk patterns like early take-profits or delayed stop-losses.
* A simulation graph shows the performance you would have achieved by executing every trade as planned.
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### 6. Performance by Context
The same strategy performs differently depending on market conditions, time, and direction. Trade in the conditions where your strategy works best.
* **Expectancy by session**: Average expectancy and win rate of trades entered during each global market session.
* **Performance by side**: Compare performance between long and short positions.
* **Performance by symbol**: Compare performance across the symbols you trade.
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### 7. Strategy Validity & Fee Impact
Check whether the strategy still works recently, and account precisely for the impact of fees and funding.
* **10-trade rolling expectancy**: A graph of the average expectancy of your 10 most recent trades. Above the green average line means the strategy is still working recently; below it means the strategy has stopped working lately.
* **Fee & funding impact**: Your net expectancy after removing fees and funding costs from trade profits.
**Q. Why does this metric matter?**
Financial markets change fast, so a strategy that performed well in the past may not work anymore. Compare your average expectancy with your recent trades' expectancy to validate the strategy.
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## Filters
Set the analysis period and exchange to see how results change by condition.
* **Date range**: From all time to the last 7 days or a custom range.
* **Exchange**: If you've connected multiple exchanges, you can select a specific one.