Audit My TradesThis is a sample built from made-up trades. Audit your own file →
Your method works, but your money is down
Over 434 trades (2026-03-02 to 2026-10-29) you lost ₹7,761 after paying ₹1,02,935 in charges. The biggest leak below cost you ₹1,13,046.
The typical trade is ahead and that is probably skill, yet in rupees you are behind after charges: the trades you sized up did worse than the rest. Sizing, not the method, is the first thing to look at.
The test behind it: probably skill, not yet proven: the gains are not steady enough yet to call it proven (steadiness 1.53 per block, where 2 counts as skill).
Read it top to bottom: the verdict, then the fixes worth the most money, then where the money went. Everything after that is the detail behind those.
Weakest: Costs. How every point was lost →
If you had no edge at all, a per-block gain this large would still turn up by chance about 1 in 11 times. Take out what NIFTY did while each trade was open and the same trades average +0.132 % per block.
The whole book as one: 434 trades on 45 symbols (230 long, 204 short), Cash intraday, Futures. Read from a trade list. Each strategy is also graded on its own further down.
Early access: this is the full audit. Sections marked Full audit will be paid later; the free report is everything else.
Fix these first
Names you keep losing on: INFY, IDEA, SBIN-₹1.13 L
INFY (59 trades, -₹44,563, won 39 %); IDEA (11 trades, -₹25,272, won 9 %); SBIN (68 trades, -₹19,584, won 38 %). Together these 5 names cost ₹1,13,046.
Next: This is what these names did in your hands, not a view on the stocks. Look at your losing trades on them side by side -- entry time, hold, size, the setup you used -- and ask whether your rules treat them differently from the names that worked for you.
Costs take 108 % of what you make-₹1.03 L
Each trade makes +0.023 % before costs and pays 0.106 % in charges and slippage. If your real fills are a little worse than modelled -- twice the costs -- the average block makes +0.006 %.
Next: A trade should make at least two to three times its cost. Check the brokerage you entered, and if your fills are worse than the default slippage, believe the doubled-costs line. The fix is more profit per trade, not more trades: every extra trade pays the same charges.
Your overnight trades lose; your same-day trades make money-₹1.02 L
Overnight: 56 trades, -₹1,01,743, won 23 %. Same-day: 378 trades, +₹93,982, won 52 %.
Next: These are two different businesses. Audit the overnight trades as their own file; if they lose on their own too, the book is better without them.
6 more findings
6 days cost you 15 % of all your losses-₹70 k
A typical losing day costs ₹2,645; these lost at least three times that: 2026-03-26 (-₹17,303); 2026-09-29 (-₹12,732); 2026-07-24 (-₹11,105). The day after such a loss you averaged 1.8 trades against 2.6 on a normal day and made +₹778.
Next: The book is decided on a handful of days. A daily loss limit at about twice the typical losing day would have cut these; test it on the next month before trusting it.
Re-entering a name after a loss cost you ₹41,650-₹42 k
28 times you went back into a name within an hour of losing on it the same day. Those trades lost ₹41,650 and won 21 %, against 50 % for the rest of your trades.
Next: Write the rule down: after a loss, the name is closed for the day. One hour is enough to tell whether the re-entry was a plan or a reaction.
Your biggest trades lose-₹34 k
The largest tenth of your trades by margin (44 trades) lost ₹34,332 and won 39 % of the time; the other 390 trades made +₹26,571 and won 49 %. A random set of 44 trades does this badly 1.9 % of the time.
Next: Size is the one thing you control completely. Cap the next month's trades at your median size and re-audit: if the result improves, the edge was never in the big trades.
Flip-flopping cost you ₹33,973-₹34 k
On 37 name-days you were both long and short the same name. Those 82 trades lost ₹33,973 and won 40 %.
Next: Two opinions on one name in one day is usually no opinion. Pick the side before the open, or skip the name.
It worked before 2026-08-13, not after
Before 2026-08-13: +0.170 % per block, too consistent to be luck. After: -0.026 % per block, as likely luck as skill.
Next: If the rules were tuned on this whole history, the early trades cannot test them. Enter the date you stopped tuning and re-audit; the trades after it are the test.
4 of 8 months lost money
The worst month was 2026-08 (-₹24,640 on 54 trades); the best 2026-06 (+₹14,903).
Next: Compare the losing months with the winning ones on one thing at a time -- size, names, hold, the market's direction -- and the difference is the finding.
Where your money went
Costs ate 108 % of the gross profit.
Month by month
Running total
what you had kept, by exit day how far below your best point you were
More numbers
Where the points went Full audit
The rules are fixed and the same for everyone, so next month's score is comparable with this one. Confidence is medium: it rests on 181 separate results (trades on the same day count as one), and a score on a few months of trading is a first read, not a verdict.
Edge 25 % of the score
Is the result better than luck, and is it yours rather than the market's
Starts at 68 from the steadiness of the gains (1.53, where 2 counts as skill).
No points lost.
Discipline 20 % of the score
The habits: jumping back in after a loss, flipping sides, names that keep losing
Starts at 100.
- Re-entering a stock within an hour of a loss: 9% of your losses−18 -₹41,650
- Long and short the same stock the same day: 7% of your losses−15 -₹33,973
- 5 names you keep losing on: 25% of your losses−25 -₹1,13,046
Risk control 20 % of the score
How deep the holes get: big-loss days, the worst fall, losing runs
Starts at 100.
- 5 big-loss days: 13% of your losses−20 -₹61,140
- Worst fall 4% of capital−6 -₹57,184
Costs 15 % of the score
How much of what you make you keep after charges and slippage
Starts at 100.
- Costs took 108% of what you made before costs−100 -₹1,02,935
Consistency 10 % of the score
Does it hold month to month, recently, and on trades it was not tuned on
Starts at 100.
- 4 of 8 months lost money−30
- Worked before 2026-08-13, not after−20
Sizing & holds 10 % of the score
Where the money sits: your biggest trades, how long you hold losers, overnight vs same-day
Starts at 100.
- Your biggest tenth of trades lost money−25 -₹34,332
- Overnight trades lose while same-day trades make money−20 -₹1,01,743
This month against last month Full audit
2026-10 against 2026-09: nothing improved; worse on net result, trades won, names that lost last month.
| 2026-09 | 2026-10 | ||
|---|---|---|---|
| Net result | -₹6,938 | -₹14,966 | Worse |
| Trades won | 48 % | 38 % | Worse |
| Re-entries after a loss | 2 | 2 | No change |
| Flip-flop trades | 6 | 6 | No change |
| Big-loss days | 1 | 1 | No change |
| Names that lost last month INFY -₹8,544 on 7 trades; SBIN -₹6,210 on 5 trades | 5 names | 2 lost again | Worse |
Every month
| Month | Trades | Net | Won | Re-entries | Flip-flops | Big-loss days |
|---|---|---|---|---|---|---|
| 2026-03 | 52 | +₹4,706 | 50 % | 3 | 9 | 1 |
| 2026-04 | 57 | +₹8,535 | 54 % | 1 | 15 | 0 |
| 2026-05 | 55 | +₹10,758 | 47 % | 2 | 10 | 0 |
| 2026-06 | 57 | +₹14,903 | 54 % | 4 | 12 | 0 |
| 2026-07 | 58 | -₹119 | 50 % | 6 | 9 | 2 |
| 2026-08 | 54 | -₹24,640 | 41 % | 7 | 12 | 1 |
| 2026-09 | 56 | -₹6,938 | 48 % | 2 | 6 | 1 |
| 2026-10 | 45 | -₹14,966 | 38 % | 2 | 6 | 1 |
Re-run the audit each month on your new trades; this section is how you see whether the habits named above actually stopped.
Your habits, in rupees Full audit
Your own trades, in rupees from your file. The fixes at the top name the ones that matter; these are the tables behind them.
Ten worst trades
| Date | Name | Strategy | Held | Net |
|---|---|---|---|---|
| 2026-07-09 | INFY JUL FUT | Swing futures | 6d | -₹9,998 |
| 2026-04-16 | INFY APR FUT | Swing futures | 12d | -₹7,549 |
| 2026-07-16 | SBIN | Opening breakout | 0d | -₹7,460 |
| 2026-07-06 | ICICIBANK JUL FUT | Swing futures | 10d | -₹7,313 |
| 2026-09-29 | ADANIENT | Opening breakout | 0d | -₹7,259 |
| 2026-06-11 | RELIANCE JUN FUT | Swing futures | 12d | -₹6,693 |
| 2026-06-16 | ICICIBANK | Opening breakout | 0d | -₹6,271 |
| 2026-03-26 | INFY | Opening breakout | 0d | -₹5,992 |
| 2026-04-20 | SBIN APR FUT | Swing futures | 10d | -₹5,822 |
| 2026-09-29 | ICICIBANK | Opening breakout | 0d | -₹5,781 |
Ten best trades
| Date | Name | Strategy | Held | Net |
|---|---|---|---|---|
| 2026-07-21 | ICICIBANK | Opening breakout | 0d | +₹7,338 |
| 2026-05-25 | ADANIENT | Opening breakout | 0d | +₹7,071 |
| 2026-04-02 | SBIN APR FUT | Swing futures | 4d | +₹6,723 |
| 2026-06-30 | ICICIBANK | Opening breakout | 0d | +₹6,535 |
| 2026-03-11 | AXISBANK | Opening breakout | 0d | +₹6,333 |
| 2026-10-07 | TATAMOTORS | Opening breakout | 0d | +₹6,016 |
| 2026-07-20 | RELIANCE JUL FUT | Swing futures | 2d | +₹5,912 |
| 2026-05-08 | RELIANCE | Opening breakout | 0d | +₹5,794 |
| 2026-05-13 | TATAMOTORS | Opening breakout | 0d | +₹5,629 |
| 2026-03-20 | SBIN | Opening breakout | 0d | +₹5,515 |
Month by month
| Month | Trades | Net | Won |
|---|---|---|---|
| 2026-03 | 52 | +₹4,706 | 50 % |
| 2026-04 | 57 | +₹8,535 | 54 % |
| 2026-05 | 55 | +₹10,758 | 47 % |
| 2026-06 | 57 | +₹14,903 | 54 % |
| 2026-07 | 58 | -₹119 | 50 % |
| 2026-08 | 54 | -₹24,640 | 41 % |
| 2026-09 | 56 | -₹6,938 | 48 % |
| 2026-10 | 45 | -₹14,966 | 38 % |
Names that keep losing
Traded four times or more, net negative, won 40 % or less.
| Name | Trades | Net | Won |
|---|---|---|---|
| INFY | 59 | -₹44,563 | 39 % |
| IDEA | 11 | -₹25,272 | 9 % |
| SBIN | 68 | -₹19,584 | 38 % |
| YESBANK | 7 | -₹12,689 | 14 % |
| SUZLON | 7 | -₹10,937 | 0 % |
What you keep doing
- Size: the largest tenth of trades by margin (44) made -₹34,332 and won 39 %; the rest made +₹26,571 and won 49 %.
- Overnight vs same-day: overnight 56 trades, -₹1,01,743, won 23 %; same-day 378 trades, +₹93,982, won 52 %.
- Re-entries after a loss (same name, same day, within an hour): 28 trades, -₹41,650, won 21 % against 50 % for the rest.
- Flip-flops (long and short on one name in one day): 82 trades on 37 name-days, -₹33,973, won 40 %.
- Big-loss days: 2026-03-26 -₹17,303 on 4 trades; 2026-09-29 -₹12,732 on 4 trades; 2026-07-24 -₹11,105 on 4 trades; 2026-07-16 -₹11,012 on 3 trades; 2026-10-05 -₹8,989 on 4 trades.
- Most expensive strategies: Swing futures -₹1,01,743 on 56 trades, won 23 %; VWAP fade -₹95,591 on 104 trades, won 25 %. Best: Opening breakout +₹1,89,573 on 274 trades, won 62 %; VWAP fade -₹95,591 on 104 trades, won 25 %.
By strategy Full audit
Each strategy is judged on its own trades and its own blocks; the verdict at the top is for the whole book. These groups are the file's own strategy column.
| Strategy | Skill or luck | Trades | Days / blocks | Net / unit | t | t neutral | Trades won | Net ₹ |
|---|---|---|---|---|---|---|---|---|
| Opening breakout | Skill | 274 | 170 | +0.440 % | 6.25 | 4.36 | 62 % | +₹1,89,573 |
| VWAP fade | Loses | 104 | 92 | -0.433 % | -5.49 | -2.24 | 25 % | -₹95,591 |
| Swing futures | Loses | 56 | 11 × 23d | -1.285 % | -5.53 | -3.49 | 23 % | -₹1,01,743 |
When you trade: entries, exits, holds Full audit
From the trade list alone. 16 slices were tried against the random-skip null, so about 1 could pass by luck; a flag is a lead to re-check on new trades, never a rule.
Entry hour
| Entered | Trades | Share | Average | Won | Kept trades' average | Change | Luck p |
|---|---|---|---|---|---|---|---|
| 09:15-09:59 | 243 | 56 % | +0.408 % | 67 % | -0.708 % | -0.083 % → -0.708 % | 1.000 |
| 11:00-11:59 | 31 | 7 % | -0.623 % | 19 % | -0.042 % | +50 % | 0.008 |
| 12:00-12:59 | 57 | 13 % | -0.488 % | 21 % | -0.022 % | +74 % | 0.006 |
| 13:00-13:59 | 40 | 9 % | -0.326 % | 35 % | -0.058 % | +30 % | 0.100 |
| 14:00-14:59 | 62 | 14 % | -1.196 % | 21 % | +0.102 % | +223 % | 0.001 |
Next: 11:00-11:59 entries average -0.623 % on 31 trades; without them the rest average -0.042 %, and a random skip of the same size does as well 0.8 % of the time. Keep taking them for now and re-check on the next 50 trades; if it holds there, that is a rule you can write down.
Exit hour
| Exited | Trades | Share | Average | Won | Kept trades' average | Change | Luck p |
|---|---|---|---|---|---|---|---|
| 09:15-09:59 | 27 | 6 % | +0.283 % | 63 % | -0.107 % | -29 % | 0.936 |
| 10:00-10:59 | 207 | 48 % | +0.431 % | 69 % | -0.551 % | -0.083 % → -0.551 % | 1.000 |
| 11:00-11:59 | 74 | 17 % | -0.976 % | 26 % | +0.100 % | +221 % | 0.001 |
| 12:00-12:59 | 39 | 9 % | -0.599 % | 18 % | -0.032 % | +61 % | 0.006 |
| 13:00-13:59 | 57 | 13 % | -0.448 % | 26 % | -0.028 % | +67 % | 0.013 |
| 14:00-14:59 | 24 | 6 % | -0.238 % | 38 % | -0.074 % | +11 % | 0.276 |
| 15:00-15:30 | 6 | 1 % | -0.998 % | 0 % | -0.070 % | +15 % | 0.052 |
Next: 11:00-11:59 exits average -0.976 % on 74 trades; without them the rest average +0.100 %, and a random skip of the same size does as well 0.1 % of the time. Keep taking them for now and re-check on the next 50 trades; if it holds there, that is a rule you can write down.
Hold length
| Held | Trades | Share | Average | Won | Kept trades' average | Change | Luck p |
|---|---|---|---|---|---|---|---|
| same day | 378 | 87 % | +0.085 % | 52 % | -1.216 % | -0.083 % → -1.216 % | 1.000 |
| 1-2 days | 8 | 2 % | +1.258 % | 88 % | -0.108 % | -30 % | 0.999 |
| 3-5 days | 8 | 2 % | +1.076 % | 75 % | -0.105 % | -26 % | 0.997 |
| 6-20 days | 40 | 9 % | -2.169 % | 0 % | +0.129 % | +255 % | 0.001 |
Next: 6-20 days holds average -2.169 % on 40 trades; without them the rest average +0.129 %, and a random skip of the same size does as well 0.1 % of the time. Keep taking them for now and re-check on the next 50 trades; if it holds there, that is a rule you can write down.
Median hold: winners 1 hours, losers 1 hours (0.9x). The 206 trades held past the winners' median averaged -0.112 % and won 50 %.
Held to the close
Needs the instrument's close on each trade's exit day. Add a close column to a trade list and every trade is re-priced as if held to the close, same costs. A broker tradebook cannot carry it; the broker-data phase of the full audit will. What no trade list can show: the best and worst price each trade saw, so whether a time stop or an earlier exit would have helped.
The numbers behind the verdict skill or luck, the untouched test, capital, charges, every slice
Skill or luck: the numbers Full audit
The whole book, all segments together. Your book mixes same-day trades and overnight holds: the 378 same-day trades count one result per session; the 56 overnight holds (90 % held 11 days or fewer) are grouped into 23-day blocks, so holds open on the same days are one result. 181 results in all from 170 entry days; t per block is the score to quote. What the t columns mean: t is the steadiness score -- how many times bigger the average gain is than the swings around it. Under 1: could easily be luck. 1 to 2: maybe skill. Over 2: too steady to be luck. t per trade counts every trade; t neutral is the score after NIFTY's own move during each trade is taken out.
| Blocks | Trades | Gross / block | Net / block | t per block | t per trade | t neutral | Blocks won | |
|---|---|---|---|---|---|---|---|---|
| All trades | 181 | 434 | +0.212 % | +0.109 % | 1.69 | -1.12 | 1.53 | 56 % |
| Last 12 months | 181 | 434 | +0.212 % | +0.109 % | 1.69 | -1.12 | 1.53 | 56 % |
| Without best and worst day | 179 | 426 | +0.220 % | +0.116 % | 1.80 | -1.00 | 1.47 | 57 % |
| Half: 2026-03-02 .. 2026-06-26 | 91 | 219 | +0.283 % | +0.180 % | 2.00 | -0.27 | 1.77 | 62 % |
| Half: 2026-06-29 .. 2026-10-23 | 91 | 215 | +0.111 % | +0.008 % | 0.08 | -1.33 | -0.07 | 51 % |
Best day 2026-04-02 (+₹6,282), worst day 2026-03-26 (-₹17,303).
Return on your capital Full audit
Capital here is the capital you gave. Margin per trade is a modelled fraction of turnover (the fractions are in "How this was read"); an option position uses its own base.
| Segment | Margin assumed | Trades | Avg margin | Net ₹ | RoM / trade, mean | median | RoM / margin-day, median | Won |
|---|---|---|---|---|---|---|---|---|
| Cash intraday (MIS) | 20.0 % | 378 | ₹47,946 | +₹93,982 | +0.42 % | +0.30 % | +0.30 % | 52 % |
| Stock futures | 20.0 % | 56 | ₹29,885 | -₹1,01,743 | -6.08 % | -4.87 % | -0.56 % | 23 % |
RoM per margin-day = net / (margin × days held, at least one): the unit that compares segments on capital rather than on turnover.
Did it keep working on untouched trades Full audit
No split date was given, so the last 30 % of trading days (from 2026-08-13) are held out and judged on their own. If you tuned the strategy on all of these trades, this is not a true out-of-sample test -- tell us the date you stopped tuning. PASS needs a positive net per block, a steadiness of 1.5 or more after the market's move is taken out, and a positive market-neutral average.
| Blocks | Trades | Gross / block | Net / block | t per block | t per trade | t neutral | Blocks won | |
|---|---|---|---|---|---|---|---|---|
| PASS Before | 125 | 297 | +0.272 % | +0.170 % | 2.10 | -0.43 | 1.66 | 62 % |
| FAIL After | 56 | 137 | +0.077 % | -0.026 % | -0.26 | -1.72 | 0.16 | 43 % |
Year by year Full audit
| Blocks | Trades | Gross / block | Net / block | t per block | t per trade | t neutral | Blocks won | |
|---|---|---|---|---|---|---|---|---|
| 2026 | 181 | 434 | +0.212 % | +0.109 % | 1.69 | -1.12 | 1.53 | 56 % |
What charges do to you Full audit
Average cost 0.106 % per trade against an average gross +0.023 %. If your real fills are worse than modelled, the 2x line is the one to believe.
| Net / block | t per block | Blocks won | |
|---|---|---|---|
| 0x costs | +0.212 % | 3.31 | 60 % |
| 1x costs | +0.109 % | 1.69 | 56 % |
| 2x costs | +0.006 % | 0.09 | 51 % |
Which trades to question Full audit
7 of 30 slices pass the bar (skipping them lifts the kept trades' average by 10 % or more, refuses no more than 40 % of trades, and beats a random skip of the same size at 5 %). 30 slices were tried, so about 2 could pass by luck alone: treat a flag as an idea to test on new trades, never a rule.
| Slice | Trades | Share | Its average | Won | Kept trades' average | Change | Luck p |
|---|---|---|---|---|---|---|---|
| Hold: 6-20 days | 40 | 9 % | -2.169 % | 0 % | +0.129 % | +255 % | 0.001 |
| Entry hour: 14:00-14:59 | 62 | 14 % | -1.196 % | 21 % | +0.102 % | +223 % | 0.001 |
| Strategy: Swing futures | 56 | 13 % | -1.216 % | 23 % | +0.085 % | +202 % | 0.001 |
| Strategy: VWAP fade | 104 | 24 % | -0.460 % | 25 % | +0.036 % | +143 % | 0.002 |
| Entry hour: 11:00-11:59 | 31 | 7 % | -0.623 % | 19 % | -0.042 % | +50 % | 0.009 |
| Entry hour: 12:00-12:59 | 57 | 13 % | -0.488 % | 21 % | -0.022 % | +74 % | 0.011 |
| Weekday: Thursday | 104 | 24 % | -0.305 % | 49 % | -0.013 % | +84 % | 0.034 |
| Entry hour: 13:00-13:59 | 40 | 9 % | -0.326 % | 35 % | -0.058 % | +30 % | 0.106 |
| After: a winning trading day | 227 | 52 % | -0.147 % | 47 % | -0.013 % | +84 % | 0.152 |
| Weekday: Monday | 100 | 23 % | -0.112 % | 44 % | -0.074 % | +10 % | 0.388 |
| Side: Long | 230 | 53 % | -0.086 % | 50 % | -0.080 % | +4 % | 0.499 |
| Side: Short | 204 | 47 % | -0.080 % | 47 % | -0.086 % | -4 % | 0.540 |
| Weekday: Tuesday | 73 | 17 % | -0.049 % | 49 % | -0.090 % | -8 % | 0.562 |
| Symbol: INFY | 47 | 11 % | -0.047 % | 47 % | -0.087 % | -5 % | 0.568 |
How this was read
- strategies from column 'strategy': 3
- costs in rupees from each trade's own turnover: statutory stack (2026-10 (STT per Budget 2026, eff 1-Apr-2026)) + brokerage Rs 20 per order + GST + slippage Cash intraday 0.045 %, Futures 0.06 % RT (measured defaults)
- MARKET-NEUTRAL: each trade minus the NIFTY move over its hold, signed for its side (a same-day trade uses the previous close -> close, a proxy for an intraday window); 29 trades without a NIFTY close are left out of the neutral lines
- MARGIN per trade = Cash intraday (MIS) 20.0 %, Stock futures 20.0 % of turnover (echoing the measured fractions behind this audit) -- ASSUMED; your broker's margin statement is the truth
- OVERLAP: 378 same-day trades count one result per session; the 56 overnight holds (90 % held 11 days or fewer) are grouped into 23-day calendar blocks -- 181 results in all from 170 entry days
Not checked here
- Whether the rules used any information that was not available at the moment of the trade (look-ahead). Only you can confirm this.
- Whether these exact trades were chosen after trying many variants. A strategy picked as the best of 50 needs a far higher bar.
- Fills: limit orders that would not have filled, circuit limits, and impact on thin names are not modelled beyond the slippage line.
- Margin, leverage and position sizing: returns are per trade on its own turnover.
Your trades, as read
Every trade this audit counted, one row each, with a strategy column already filled in. Name your strategies in it, then upload it together with your trades file and each strategy gets its own grade.
Name your strategies
These are the strategies this report is graded with. Name your own: describe each strategy the way you think of it and every trade that fits attaches to it; a trade that fits two goes to the first one listed; the rest stay "not named". Then re-grade and each strategy gets its own skill-or-luck read, its own habits, its own rupees. Nothing is saved on our side: download the strategies and upload them with next month's trades to keep the same names.
Or tag a few trades and let the audit work out the rule
Type the strategy name against five or six trades of each kind below, press Work out the rules, and the audit says what those trades have in common and how many more fit. A name typed against a trade always wins over a rule.