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Lesson 11 of 12 · Module 5, part 1 of 2 · 3 min read

The trading journal habit

What to write down for every trade, how to measure results in R, a worked expectancy example, and a weekly review that turns a list of trades into decisions.

Memory is a poor record of trading. Wins feel like skill, losses feel like bad luck, and a month later you remember neither accurately. A journal replaces impressions with evidence. It is also the one tool in this course that works the same for everyone.

What to record for every trade

Write it down when you enter, not at the end of the day:

Field Example
Date, time, stock, side 21 Oct, 10:12, a bank stock, long
Why Bullish count 150/60, Banks top sector, score 78, price back at the zone
Entry, stop, target ₹500 / ₹495 / ₹510
Planned R:R and size 1:2, 1,000 shares (₹5,000 risk)
Exit and result in R ₹509.20, +1.8R
Mistake tag, if any none / chased / moved stop / no plan / oversized / revenge
One line of reflection Exited before T1 because of a red candle; plan said hold

Recording the Live Flow context (count, sector rank, score, distance from the zone) lets you test later which conditions actually worked for you.

Measure in R, not rupees

Results in rupees depend on position size; results in R (multiples of the planned risk) measure your decisions. A win of ₹9,000 on a ₹5,000 risk is +1.8R. A loss at the stop is −1R. A loss of −2.5R means something went wrong with the stop, and that's worth a tag.

Expectancy: the number that matters

Expectancy = (win rate × average win) − (loss rate × average loss), in R per trade.

Worked example: 20 trades, 8 winners averaging +2R, 12 losers averaging −1R.

  • Wins: 8 × 2 = +16R
  • Losses: 12 × 1 = −12R
  • Expectancy = (16 − 12) ÷ 20 = +0.2R per trade, before costs
20 trades in R: fewer wins than losses, still positive +2R−1R 8 wins × 2R − 12 losses × 1R = +4R over 20 trades = +0.2R per trade
Illustrative. A positive expectancy can come with more losing trades than winning ones.

Once you add costs (lesson 8) and slippage, a thin positive expectancy can easily turn negative. Twenty trades is also far too few to be sure of anything: treat early results as a hint, not proof.

The weekly review

Once a week, sort the journal and answer:

  1. What is my expectancy in R, after costs? Is it positive at all?
  2. Which conditions made money? By side, sector strength, score band, time of day, distance from the zone.
  3. Which mistake tags cost the most? Add up the R lost to "chased", "moved stop", "oversized" and so on. Fixing the most expensive one is usually worth more than any new setup.
  4. Did I follow my daily loss limit?
  5. One rule to change, or one rule to follow better, next week. Only one.

Talking it through

Going over a review with someone you trust helps. Describe trades in R and in terms of the process, not rupee profits or screenshots, and keep it about your own decisions rather than calls for anyone else to follow.

Check your understanding

3 quick questions. Your answers aren't graded by anyone: they're here to help it stick.

1. 10 trades: 4 wins averaging +1.5R and 6 losses averaging −1R. What is the expectancy per trade, before costs?
2. Why measure results in R rather than rupees?
3. In the weekly review, what usually helps most?

This lesson is for education only. It is not investment advice or a recommendation to buy or sell any security. StoxGud is not registered with SEBI as an investment adviser or research analyst. Trading futures and options carries a high risk of loss. The course is free; Live Flow, which it describes, is part of StoxGud's paid plan (pricing).