Instant Post-Market Review Checklist
If you're a prop trader , the first 15 minutes after the bell are crucial. Use this prop trading checklist to lock in data before you forget it.
- Log every ticket. Record the symbol, entry and exit timestamps, fill price, slippage, and net P/L. A quick spreadsheet or journal app works fine.
- Capture indicator snapshots. Note the EMA cross status (e.g., bullish crossover on 9- and 21-period EMA) and the RSI value at the exact exit moment. Screenshot isn't needed - just write the numbers.
- Risk metrics at a glance . Jot down today's max drawdown, daily VaR, and the ratio of position size to total account equity. This gives you a quick health check for your prop trading account.
- Verify stop-loss execution. Did the stop trigger at the intended price? Record any deviation and the reason - maybe a gap or latency.
- Assess trade rationale. Briefly restate why you entered (trend, news, pattern) and whether the exit aligned with your plan.
- Update performance stats. Add the trade's result to your cumulative win-rate, average R-multiple, and expectancy calculations.
Quick example: you were long EUR/USD, EMA-9 crossed above EMA-21, RSI sat at 62, and you set a 0.5% stop loss. The market reversed, the stop hit at 1.0820, slippage was -2 pips, and the trade closed with a -0.5% loss. You log the exit price, note the bullish EMA crossover, and record today's max drawdown of 1.2% and a VaR of 0.8%.
Now you have a clean post market review prop trading record , ready for tomorrow's analysis.
Analyzing Trade Execution and Slippage
If you're a prop trader, the first step in a trade execution analysis is to line up the price you wanted with the price you actually got. For a market order, note the quoted bid/ask at the moment you hit “send” and then record the fill price shown in your platform. For a limit order, simply check whether the order was filled at or better than the limit you set; any deviation is a red flag.
Calculating average slippage
Take GBP/JPY as a high-volatility example. Pull the last 50 trades, write down the intended entry and the fill. Subtract the intended price from the fill price, then divide the total by 50. The result is your average slippage per pip for that instrument. A quick spreadsheet formula looks like =SUM(Fill-Intended)/COUNT(Fill).
Adjusting order types and broker choice
- If average slippage exceeds 2 pips on GBP/JPY, consider switching from market orders to limit or stop-limit orders.
- When slippage spikes during news releases, use a broker with tighter ECN spreads or a guaranteed stop-loss feature.
- Track patterns: consistent lag on one broker may signal poor routing, prompting a broker review.
A solid slippage review prop trading routine will flag these issues early, and doing a slippage review prop trading each month keeps your edge sharp.
Template for execution timestamps
Copy the table below into your journal. Fill in the columns after each trade.
| Trade ID | Instrument | Intended Price | Fill Price | Timestamp (Your Platform) | Timestamp (Market Tick) | Slippage (pips) |
|---|---|---|---|---|---|---|
Assessing Indicator Performance
When you run a prop trading technical analysis routine, the first step is a quick indicator performance review . Grab a simple table and log every signal you used - EMA, MACD, Bollinger Bands - together with the direction it gave you at entry and at exit. This visual log lets you spot patterns without digging through dozens of charts.
| Indicator | Entry Signal | Exit Signal | Win / Loss |
|---|---|---|---|
| EMA (50/200) | Bullish crossover | Bearish crossover | Win |
| MACD | Histogram rise | Histogram fall | Loss |
| Bollinger Bands | Price breaks upper band | Price re-enters band | Win |
Now, look for conflicts. A classic example is the EUR/USD pair where the RSI flashed an overbought reading (above 70) while the EMA produced a bullish crossover. In that case the RSI warned you to stay cautious, yet the EMA pushed you into a long trade that later reversed. Highlighting these mismatches helps you decide which signal to trust.
Statistical test you can run
- Calculate the win-rate for each indicator (wins ÷ total trades).
- Compare the rates using a simple chi-square test to see if differences are statistically significant.
- Identify the indicator with the highest reliable win-rate - that's your go-to signal.
If any indicator's win-rate drops below a preset threshold (say 55 %), consider tweaking its parameters - shorten the EMA period, adjust MACD fast/slow settings, or widen Bollinger Band deviations. Keeping the numbers in front of you turns guesswork into a disciplined, data-driven edge.
Risk Management Metrics Review
If you're a prop trader, the first thing you look at is whether each trade stayed inside the 2% of account equity limit. In our latest audit we ran a quick script that flagged any ticket where the position size crossed that line. Good news - most of you kept it tight, but a handful of outliers showed up.
Next up, we added up the daily exposure for correlated pairs, like EUR/USD and GBP/USD. The rule says the combined risk can't go beyond 5% of the account. By summing the absolute value of each lot's risk-adjusted size, we saw the total stayed under the cap on 92% of the days. The remaining days spiked when both pairs moved together after a news release.
Stop-loss placement is another key metric. We compared each stop to the nearest support or resistance level and measured the distance in ATR units. Stops that were less than 1.5 ATR away were marked as too tight, while those beyond 3 ATR were considered overly wide.
- Breaches: three trades exceeded the 2% size rule, two days breached the 5% correlated exposure limit, and five stops fell outside the 1.5-3 ATR window.
- Corrective actions: tighten stop distances to 1.5-2.5 ATR, cut lot sizes on high-correlation days, and set an automatic alert when a trade approaches the 2% threshold.
Keeping these trading risk metrics in check is the backbone of solid risk management prop trading. Adjusting the parameters now helps protect your equity and keeps the desk running smooth.
Liquidity and Volatility Context
First, jot down the average daily volume for each pair you trade. For EUR/USD you'll see roughly 1.2 billion contracts a day, but notice the dip around the New York close - that's a low-liquidity window. GBP/JPY, on the other hand, spikes to over 800 million contracts when the Asian session overlaps with London, creating a high-volatility window you can't ignore.
Pull the VIX or any implied volatility index and tag the days when it climbs above 20. Those are the elevated-risk days. When you compare your trade outcomes, you'll see a higher win-rate on low-VIX days and more whipsaws when the index spikes. That's a core part of any volatility assessment trading routine.
News releases are the real spread-wideners. During a UK CPI announcement, the GBP/USD spread can double in seconds, turning a clean entry into a costly slip. A simple rule of thumb: stay out of the market 10 minutes before and after any major economic release. It saves you from chasing a widening spread that eats into your profit.
Liquidity gaps can also bite your stop-loss. In a recent EUR/USD trade, the price slipped through a thin order book at 1.0800, leaving a 15-pip stop-loss to fill at 1.0775. The gap erased the intended protection and turned a modest loss into a bigger one. That's why a solid liquidity analysis prop trading approach always checks order-book depth before setting stops.
Psychology and Emotional Review
Before you click “enter” on any trade, pause and give yourself a confidence rating from 1 to 10. Write that number down next to the trade ticket and then note if you drifted away from your original plan. This tiny habit builds trading psychology prop that most pros swear by.
During fast-moving GBP/JPY sessions, many traders feel a rush to add or cut positions. Spot those moments of impulsive scaling - the instant you add a lot more lots or exit half-way through a move. Mark them in your journal; a simple bullet point is enough.
If you're a beginner, you'll probably feel FOMO when the price spikes, or you might chase a loss with revenge trading. When that happens, try a breathing pause: inhale for four seconds, hold two, exhale four. Do it twice before you act again. It's a cheap but effective tool for emotional discipline trading.
- Identify the exact price level where the emotional spike hit.
- Link that spike to the trade result - profit, break-even, or loss.
- Write a one-sentence note on why the feeling pushed you.
Seeing the cause-and-effect on paper makes the pattern obvious. Over time you'll notice that high-confidence ratings usually line up with better outcomes, while low-confidence or panic-driven entries tend to bite you. Keep the review short, honest, and you'll train your mind to stay steadier, even when the market roars.
Documenting Lessons and Adjustments
If you're a trader who wants a living record of insights, start each post-trade review with the three biggest takeaways. Write them in plain language - no jargon, just what you actually saw on the screen.
- Indicator lag: The EMA crossover was a bar late, causing you to chase the move.
- Slippage patterns: GBP/JPY slipped 4 pips on the opening auction, eating into your profit target.
- Risk breach: A single trade pushed the daily loss limit past the 1 % threshold.
Now turn those lessons into concrete action items. Keep the list short and actionable so you can actually follow through.
- tighten EMA crossover confirmation to a two-bar alignment before entering a trade; assign to John , deadline: 2025-01-10.
- reduce GBP/JPY position size by 25 % when volatility exceeds 0.8 %; assign to Sara , deadline: 2025-01-12.
- add an automated alert that stops trading once the daily loss hits 1 %; assign to Mike , deadline: 2025-01-15.
Store these notes in a centralized journal - a shared Google Sheet or a simple markdown repo works fine. Tag each entry with “trading lessons prop” and “process improvement trading” so you can pull them up during pre-market plan ning. When you open your morning routine, scan the journal for any pending deadlines, check who's responsible, and adjust your watchlist accordingly. This habit turns a one-off mistake into a repeatable improvement, and over time your performance will reflect the disciplined record-keeping.
Integrating Review into Daily Discipline Routine
Pick a fixed time window - 30 minutes after the market closes - and treat it like a non-negotiable appointment. During this slot you run through a short checklist , no distractions, no scrolling social media. The goal is to lock in the daily review prop trading habit before you even think about the next day.
Step-by-step checklist
- Close the trading platform, then open your journal.
- Mark each trade as win, loss, or break-even and note the reason.
- Update your watchlist: add symbols that showed strength, remove those that stalled.
- Adjust indicator settings if they felt too tight or too loose.
- Re-calculate risk parameters for the upcoming session.
Link the outcomes directly to your pre-market plan. If a trade missed because of a wrong stop size, change the risk rule before you set your morning alerts. If a pattern kept repeating, add it to your watchlist and tweak the entry criteria. This creates a feedback loop that tightens your trading routine discipline.
Use habit-stacking to make the review automatic. For example, after you log out of the platform, immediately sit at your desk, open the journal, and start the checklist. The cue is the logout, the routine is the review, the reward is a clear, updated plan for the next day.
Track consistency on a simple 30-day calendar. Put a checkmark each night you finish the review. Celebrate milestones - a week straight, two weeks, a full month - to reinforce the behavior and keep the daily review prop trading habit alive.