Ch 9 ยท Price Action

Trading Records for Discretionary Traders

How to log a discretionary trade so that six months from now you can review it honestly โ€” the ex-ante vs ex-post distinction, what to record, what to ignore.

๐Ÿ“– 12 min

Discretionary trading without records is guessing. Records without honest reflection are just data. This chapter is the single-highest-leverage habit in retail trading: how to log every trade so that six months from now, your journal produces a better trader than any additional strategy would.

9.1 Two categories of records

Most retail traders keep the first and skip the second. That's why most retail traders don't improve. Skill comes from reviewing the second, not the first.

9.2 What to record at entry (ex-ante)

Written BEFORE the trade executes or immediately upon executing:

๐Ÿ’ก The 'reasoning at entry' rule
This is the discipline that separates skilled discretionary traders from everyone else. Ex-ante reasoning captures your genuine thesis before hindsight bias contaminates it. Reviewed later, it exposes the difference between "I read the market well" and "I got lucky."

9.3 What to record at exit (ex-post)

Written AFTER the trade closes:

9.4 Ex-ante vs ex-post โ€” the critical distinction

The most important distinction in trading records is between:

Both matter. But they matter for different reasons.

Ex-ante shows the quality of your process. If you made a decision that would be correct 70% of the time, and it happened to be one of the 30% failures, that's a good decision with a bad outcome. Ex-ante records let you evaluate the process independently of the outcome. This is the only way to build genuine skill.

Ex-post shows the pattern of outcomes over time. What sets fail, what setups win, what times of day work, what market conditions favour you. This is where statistical edge is measured.

โš ๏ธ The hindsight bias trap
Ex-post narrative naturally contaminates memory. Two months from now, a losing trade will "feel" like it was obviously going to fail. It wasn't โ€” you took it because at the time it looked like a good trade. Ex-ante screenshots and written reasoning are the antidote to this bias. Without them, you keep making the same mistakes because you're convinced you already learned from them.

9.5 The minimal setup โ€” one spreadsheet, one folder

You don't need software. A single Google Sheet + a folder of screenshots is enough:

ColumnContent
DateTrade entry date/time
InstrumentNifty / RELIANCE / etc
SetupPin bar at daily support / Engulfing at VWAP / etc
BiasBullish / Bearish / Neutral
EntryPrice
StopPrice
TargetPrice
R:R(target โˆ’ entry) / (entry โˆ’ stop)
Confidence1โ€“5
Screenshot linkURL to entry chart image
ExitPrice + reason
R resultActual R gained/lost
Notes1โ€“2 sentences on what happened
Lesson tagShort label

Every row is one trade. Every trade takes 5 minutes to log properly. Skip weeks are more expensive than they feel โ€” after 6 weeks of gaps, the journal loses its diagnostic power because the pattern is broken.

9.6 The weekly review โ€” where the compound learning happens

Every Sunday, before market opens Monday:

  1. Filter your journal to the past week's trades
  2. Group by setup type. Compute win rate and average R per setup. Which setup made money? Which lost?
  3. Read the ex-ante notes for the losing trades. What was the process error? Was the setup wrong, the level wrong, the R:R wrong, or the execution wrong?
  4. Read the ex-ante notes for the winners. Was there a lesson tag pattern? Are the winners concentrated in a specific setup, time-of-day, or bias?
  5. Pick ONE thing to focus on next week. One rule to enforce, one setup to skip, one habit to add. Not five things โ€” one
  6. Write that one thing at the top of next week's journal

Compounding this weekly for a year does more for a discretionary trader than any book, course, or indicator can.

Advanced The journal metrics that actually matter
Most journals over-count and under-signal. The four metrics worth tracking, in order of importance: 1. **Expectancy per trade** = (win rate ร— avg winner R) โˆ’ (loss rate ร— avg loser R). Should be > 0.3R for the strategy to be worth trading 2. **Max consecutive losses** โ€” measures whether you can survive a rough patch without breaking discipline. Should be < 5% of account drawdown 3. **Win rate by setup** โ€” reveals which of your setups is actually working. Often you'll discover 2 of 3 setups are profitable and 1 is a break-even; drop the third 4. **Execution deviation** โ€” % of trades where you deviated from the written plan (moved stop, exited early, added size). Should trend toward zero over months Ignore: total P&L for individual weeks. Too noisy. Total P&L for a quarter is a valid but lagging read.