The Sprock Post-Mortem: A 10-Minute Checklist to Diagnose Any Trade (Win or Lose)

You close a trade. Green or red, you glance at the P&L, maybe screenshot it, then move to the next chart. That moment — the minute after you exit — is the most wasted resource in trading. The Sprock Post-Mortem is a 10-minute checklist that forces you to extract a lesson from every trade, win or lose, before your brain rewrites the story. This guide walks through the checklist step by step, with a real composite example, edge cases, and honest limits.

Why Most Traders Skip the Post-Mortem (and Why That Costs Them)

The biggest gap between amateur and professional traders isn't entry timing or risk management — it's the feedback loop. Amateurs treat each trade as an isolated event. They celebrate wins as genius and bury losses as bad luck. Professionals treat every trade as data. They know that a single win can hide a flawed process, and a single loss can obscure a sound one.

Consider this: you take a trade based on a breakout pattern. Price moves in your favor, you trail your stop, and you capture a 2:1 gain. Feels great. But what if the real reason price moved was an unexpected news release that had nothing to do with your pattern? Your process was wrong, but you got lucky. Without a post-mortem, you'll repeat that flawed setup, waiting for luck to strike again.

On the flip side, you take a trade that checks every box — trend alignment, volume confirmation, clear risk level — but a sudden liquidity gap takes out your stop. You lose. If you skip the review, you might abandon a perfectly good strategy because of one anomalous event. The post-mortem separates signal from noise.

Most traders skip it because it feels like homework. It's not real-time, it's not exciting, and it doesn't produce immediate dopamine. But the cumulative effect of 10 minutes per trade, over 100 trades, is a personalized playbook that no course can teach. The Sprock Post-Mortem is designed to be fast, structured, and brutally honest.

Core Mechanism: Separating Process from Outcome

The heart of the Sprock Post-Mortem is a simple principle: judge the decision, not the result. This sounds obvious, but it's counterintuitive in practice. Our brains are wired to associate good outcomes with good decisions and bad outcomes with bad decisions. That's called outcome bias, and it's the enemy of improvement.

The checklist forces you to answer three questions before you even look at the P&L:

• Did I follow my predefined rules? If yes, the process was sound regardless of the outcome. If no, the process was flawed regardless of the outcome.
• What was the primary reason for entry and exit? Write it in one sentence. No excuses, no narratives.
• What was the one thing I could have done differently? This isn't about blaming yourself — it's about identifying a single actionable tweak.

Once you've answered those, you look at the P&L. But you assign it less weight than the process check. A winning trade with a broken process is a red flag. A losing trade with a perfect process is a green light — it means the strategy is sound and the loss was noise.

This mechanism works because it builds a dataset of process-based outcomes over time. After 20–30 trades, you can look back and see: "When I follow my rules, I win 60% of the time with a 1.5:1 average. When I break my rules, I win 30% with a 0.8:1 average." That's actionable. That's edge.

The 10-minute time limit is intentional. It prevents over-analysis and rumination. You're not writing a thesis — you're capturing the essential facts while they're fresh. If a review takes longer than 10 minutes, you're probably rationalizing, not analyzing.

The Sprock Post-Mortem Checklist: Step by Step

Here's the exact checklist. Copy it, print it, or keep it in a notes app. Each step should take about one minute.

Step 1: Pre-Trade Plan Check (1 minute)

Pull up your trade log or screenshot of the entry. Did you have a written plan before you entered? If not, that's already a process failure. If yes, compare the plan to what actually happened. Did you stick to the planned stop and target? Did you add to the position? This step catches impulsive deviations.

Step 2: Emotional State at Entry (1 minute)

Rate your emotional state on a scale of 1 (calm) to 5 (fomo or panic). Be honest. Many traders won't admit they entered because they felt left out. This step flags emotional patterns over time — for example, you might notice that your worst trades happen when you're above a 3.

Step 3: One-Sentence Thesis (1 minute)

Write exactly why you entered. Example: "I bought because price broke above the 50-day moving average on above-average volume, and the RSI was above 50." Not: "I thought it would go up." The more specific, the more useful for pattern recognition later.

Step 4: Exit Reason (1 minute)

Why did you close? Was it a stop loss, a target hit, a manual decision, or a time-based exit? If manual, what triggered it? This reveals whether you're letting emotions override your plan.

Step 5: Process Score (1 minute)

Give yourself a binary pass/fail: Did you follow your plan exactly? No grading on a curve. If you moved your stop because you were scared, that's a fail. If you trailed it per your rules, that's a pass.

Step 6: Outcome Score (1 minute)

Record the P&L in percentage or R-multiple. But don't let this number influence Step 5. A pass with a loss is better than a fail with a win.

Step 7: One Lesson (2 minutes)

Write one concrete lesson. Not "I need to be more disciplined" — that's too vague. Instead: "I need to set my stop before I enter, not after." Or: "When volume drops below the 20-day average, my breakout trades fail more often."

Step 8: Next Trade Prep (1 minute)

What's the one thing you'll do differently on the next trade? Write it down. This closes the loop and makes the lesson stick.

Worked Example: A Win and a Loss

Example 1: The Lucky Winner

Trader A sees a stock breaking out from a triangle pattern. They enter without a written plan, just a gut feeling. Price shoots up 5% in an hour on a rumor. They sell near the high for a nice gain. The post-mortem reveals: no pre-trade plan (fail), emotional state at entry was 4 (excitement), thesis was vague ("it looked ready to pop"), exit was manual (they got scared of a reversal). Process score: fail. Outcome: win. The lesson: "I got lucky. I need a written plan before any entry." Without the post-mortem, Trader A would think they're a genius and repeat the same reckless behavior.

Example 2: The Sound Loss

Trader B enters a pullback trade on a trending currency pair. They have a written plan: enter at the 50% Fibonacci retracement, stop at the 78.6% level, target at the previous high. The trade triggers, but an unexpected central bank announcement causes a sharp spike that hits the stop. Price later reverses and hits the target. The post-mortem shows: plan followed exactly (pass), emotional state was 2 (calm), thesis was specific, exit was the stop as planned. Process score: pass. Outcome: loss. The lesson: "My plan was sound. This loss was noise. I will continue the strategy." Trader B sticks with a good system instead of abandoning it.

Edge Cases and Common Mistakes

The checklist works best for discretionary and semi-systematic traders. Pure algorithmic traders may need a different approach, since their "process" is the code itself. But even algo traders can use the checklist to review manual overrides or parameter changes.

One common mistake is filling out the checklist after the fact but then ignoring the data. If you consistently score "fail" on emotional state but never address it, the checklist becomes a feel-good ritual. The value comes from reviewing the last 20 checklists every month and looking for patterns.

Another edge case: very short timeframes. Scalpers taking 20 trades a day can't spend 10 minutes per trade. For them, we recommend a daily summary review: pick the three most significant trades (best win, worst loss, most unusual) and run the checklist on those. The same principles apply, just compressed.

Be careful with hindsight bias. When you write the thesis after the trade, it's easy to retroactively make it sound smarter. The checklist only works if you write the thesis before the trade — or at least immediately after entry, before you know the outcome. If you're writing the thesis after the close, you're probably rationalizing.

Finally, don't use the checklist to beat yourself up. The goal is learning, not shame. If you notice a pattern of failures, that's useful information — it tells you where to focus your improvement. But dwelling on a single bad trade won't help. The 10-minute cap is there to keep you moving forward.

Limits of the Approach

The Sprock Post-Mortem is not a trading system. It doesn't generate entries or exits. It's a diagnostic tool, and like any tool, it has blind spots.

First, it assumes you have a consistent strategy to evaluate. If you're jumping between different markets and timeframes every day, the checklist data will be too noisy to draw conclusions. The framework works best when you're running a defined strategy for at least 20 trades.

Second, it doesn't account for market regime changes. A strategy that passes the process check for months might suddenly fail because the market structure shifted (e.g., from trending to ranging). The checklist won't catch that unless you also track the broader market context. We recommend adding a one-line note about the market environment (e.g., "low volatility," "strong trend") to each review.

Third, the binary pass/fail process score is intentionally coarse. Some deviations are minor (e.g., moving a stop by a few ticks) and some are major (e.g., doubling position size). The checklist treats them the same. If you find yourself frequently getting "fail" on minor deviations, consider adding a third category: "partial pass" for small deviations, but use it sparingly to avoid slippery grading.

Fourth, the checklist doesn't address position sizing directly. While it asks about plan adherence, it doesn't force you to evaluate whether your risk was appropriate for your account. We recommend adding a separate step: "Did my risk per trade stay within my predefined limit?" as a pass/fail item.

Finally, the 10-minute limit can feel rushed for complex trades (e.g., multi-leg options strategies). For those, extend to 15 minutes, but don't exceed 20 — diminishing returns set in fast.

Frequently Asked Questions

How many trades do I need to review before I see a pattern?

Most traders start to see clear patterns after 20–30 reviews. That's about one month of active trading for a typical swing trader. If you're a day trader, you might hit that in a week. The key is consistency — reviewing every trade, not just the ones that bother you.

Should I analyze every trade or only losers?

Every trade. Winners can teach you more than losers because they reinforce good habits — or hide bad ones. The lucky winner example above shows why skipping wins is dangerous. If you only review losers, you'll miss the fact that your winning process might be flawed.

What if I can't remember my emotional state accurately?

That's normal. The best workaround is to write down your emotional state immediately after entry, before the trade plays out. If you forget, use a rough estimate and note that it's approximate. Over time, you'll get better at self-awareness.

Can I use this checklist for crypto or forex?

Yes, the checklist is market-agnostic. The same principles apply to any asset class. The only difference might be in the exit reasons — crypto markets can have sudden liquidity gaps that trigger stops, so you might want to add a note about market conditions (e.g., "low liquidity due to weekend").

What if my trade lasted weeks or months?

For long-term trades, the emotional state at entry is still relevant, but you might also want to note how your emotions changed over the duration. Consider doing a mid-trade check (monthly) and a final review. The 10-minute limit applies to the final review; the mid-trade checks can be 2 minutes each.

How do I know if my process is actually good?

The process score only tells you if you followed your rules, not if the rules are sound. To evaluate the rules themselves, look at your aggregate data after 20–30 trades: what's your win rate and average R-multiple when you pass the process? If that's positive, your rules are likely sound. If not, you need to adjust the rules — not just follow them more strictly.

Start tonight. Pick your last trade — win or lose — and run the 10-minute checklist. That's one data point. Do it again tomorrow, and the day after. In a month, you'll have a dataset that shows you exactly where your edge lives, and where it leaks. That's the Sprock Post-Mortem promise: not a magic formula, but a mirror.