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trading journal performance analyzer
Audit trading journal data to identify execution errors, risk inconsistencies, and strategy expectancy.
$5
Works with the AI tools you already use
trading journal performance analyzer
Example session with this skill installed
Analyze my journal. I took 12 trades this week using a Breakout setup. 4 wins, 8 losses. I risk 1% per trade but I feel like my losses are bigger than they should be. Here is the data...
- Read your context and instructions
- Compiled the trading journal performance
I have analyzed your 12-trade breakout sequence. The primary objective is to determine if your disproportionate losses are due to slippage, poor stop-loss placement, or risk-scaling errors.
Decision Snapshot
Your current data suggests a negative expectancy (-0.15 R) driven by inconsistent risk execution rather than a failure of the breakout setup itself. While your win rate is 33%, the average loss is 1.8% of your account, significantly exceeding your stated 1% risk mandate.
Inputs & Assumptions
| Item | Value | Status |
|---|---|---|
| Sample Size | 12 Trades | Verified |
| Strategy | Breakout | Verified |
| Target Risk | 1.00% | Verified |
| Actual Avg Loss | 1.82% | Verified |
| Slippage Data | Missing | Unknown |
Analysis
| Dimension | Score | Evidence | Why It Matters |
|---|---|---|---|
| Expectancy | 1/5 | Negative R-multiple over 12 trades. | Strategy is currently burning capital. |
| Risk Consistency | 0/5 | Losses range from 0.8% to 3.2%. | Inconsistent sizing negates the edge. |
| Setup Quality | 3/5 | 4 wins reached 3R targets. | The setup works when risk is contained. |
| Sample Size | 1/5 | Only 12 trades recorded. | Low confidence; could be high variance. |
Key Risks / Gaps
- Risk Blowout: Two trades accounted for 60% of total losses, suggesting "revenge trading" or moved stops.
- Data Thinness: 12 trades are insufficient to judge the Breakout setup's long-term viability.
- Execution Gap: The gap between 1% target risk and 1.8% actual risk is the primary cause of drawdowns.
Recommended Next Move
Primary Action: Implement a "Hard Stop" rule where the broker or a third-party tool prevents trade execution if a daily loss limit of 2% is hit.
Supporting Actions:
- Record "Planned Exit" vs "Actual Exit" for the next 10 trades.
- Review the two largest losses to check for manual stop-loss removal.
Validation Plan
| Question | Evidence Needed | Cheapest Test | Pass Signal |
|---|---|---|---|
| Is risk fixable? | Next 10 trades data | Strict 1% limit | Avg loss < 1.1% |
| Is the setup valid? | 30+ trade sample | Continue journaling | Positive expectancy |
Next steps
- Review the specific entry/exit timestamps for the two largest losses.
- Standardize your position sizing using a fixed calculator before the next session.
- Update the journal with "Emotion Tags" to see if large losses correlate with specific moods.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Stop guessing why your trades are failing. Most traders struggle to separate bad luck from bad habits because they lack a structured way to audit their own history. This skill transforms raw trade logs into a rigorous performance audit, identifying the specific leaks in your execution and risk management.
What it does
- Expectancy Calculation determines the mathematical edge of your current strategy based on historical win/loss ratios.
- Risk Consistency Audit identifies deviations in position sizing that lead to disproportionate account drawdowns.
- Setup Performance Analysis isolates which specific strategies are profitable and which are dragging down your equity curve.
- Behavioral Pattern Detection flags execution errors and emotional deviations recorded in your trade notes.
- Confidence Scoring evaluates if your current sample size is statistically significant or just a streak of variance.
How it works
- Intake your trading journal data, including entry/exit prices, setup labels, and risk per trade.
- Normalize the data into an evidence ledger that separates verified facts from your subjective hypotheses.
- Audit the performance across eight dimensions including win/loss distribution and market-condition patterns.
- Score each area from 0 to 5 to provide a visual map of your trading strengths and technical weaknesses.
Frameworks & tools
This skill uses evidence-based financial analysis principles. It is compatible with CSV exports from common journaling software, manual ledger entries, and standard risk-reward modeling.
Why this beats prompting it yourself
Generic prompts often return vague advice like "stick to your plan." This skill follows a strict decision logic that forces an evidence-based audit, preventing the model from hallucinating market trends or giving unsubstantiated financial advice.
Use cases
- Auditing a losing streak to determine if it is a strategy failure or an execution error.
- Evaluating a new setup's performance over a 30-trade sample before increasing position size.
- Identifying specific times of day or market conditions where your win rate drops significantly.
- Pinpointing exactly how inconsistent risk-per-trade is impacting your long-term expectancy.
Known limitations
Does not provide live trade signals or personalized investment advice. Requires historical data to be useful. Cannot connect directly to broker APIs or live data feeds.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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Security scanned
Verified clean 9 days ago
- Passed all security checks, Safe to install