0x1234…5678
Sample data180 closed trades across 61 active days, Jul 3, 2026 to Sep 1, 2026
This is a generated sample wallet that shows what a report looks like. Analyse a real address to see actual history.
Equity curve
Cumulative realized P&L after fees
By the numbers
- Trading volume
- $4M
- Max drawdown
- -$2,301
- Avg win / avg loss
- $211.66 / $178.65
- Best trade
- +$675.96 TSLA
- Worst trade
- -$563.63 AMZN
- Longest streaks
- 9 wins, 6 losses
- Fees paid
- $73.61
Insights
Patterns found in this trading history. Each one cites the figures it is based on.
- Working+$49.03/trade
Positive expectancy
The average closed trade returned +$49.03 after fees, with a profit factor of 1.66. That is the number to protect: changes that lower it need a strong reason.
- Watch1.7x
You size up after losses
Trades that follow a loss average $14.6K in size, against $8,684 after a win. Increasing size while chasing a loss back is a classic tilt pattern.
- Watch-$554.65
AAPL is your biggest leak
AAPL lost $554.65 across 34 trades at a 44% win rate. Reviewing those trades, or sitting the market out, is the highest-leverage fix.
- Working+$6,110
TSLA is your strongest market
TSLA produced $6,110 over 72 trades with a 65% win rate. It is where your process is working best so far.
- Watch22:00
A costly time of day
Trades closed between 22:00 and 23:00 UTC lost $238.80 over 15 trades. If that window matches tired or rushed sessions, consider skipping it.
- Watch6
Long losing streaks
Your longest losing run was 6 trades in a row. A pre-set daily loss limit or a forced break after three losses can keep a bad run from compounding.
- Working+$53.78
Your sweet spot is 4 to 24h
Trades held 4 to 24h averaged +$53.78 over 109 trades, the best of your holding periods.
- Note11.6%
Size suggested by your edge
On your win rate and payoff, the Kelly formula suggests risking up to 23.2% of capital per trade, and traders usually use half of that (11.6%). Treat it as a ceiling, since it assumes your past edge continues.
- Note+$1,338
Cap every loss at $267.97
12 losses were bigger than 1.5x your average loss. This is the most it could have saved, since a stop is not always filled at the price you set. Removing that alone would have moved your net trade P&L by +$1,338. This is hindsight, so use it to find a habit worth fixing rather than a forecast.
When it trades
Net P&L by hour of day and weekday, in UTC
Holding time
How long positions were held before closing, across 180 trades with a known open time
| Held for | Trades | Win rate | Net P&L |
|---|---|---|---|
| Under 1h | 15 | 60% | +$690.48 |
| 1 to 4h | 56 | 61% | +$2,273 |
| 4 to 24h | 109 | 57% | +$5,862 |
| 1 to 3d | 0 | n/a | n/a |
| 3 to 7d | 0 | n/a | n/a |
| Over 7d | 0 | n/a | n/a |
Each sale is dated by the oldest shares it sold (first in, first out), so a position built up over several buys is timed from its earliest purchase.
Risk
How bumpy the ride was, beyond the headline P&L
What if
Hindsight, not advice. These show which habits cost the most, not what will happen next.
- Cap every loss at $267.9712 losses were bigger than 1.5x your average loss. This is the most it could have saved, since a stop is not always filled at the price you set.+$1,338
- Never trade AAPL34 trades in AAPL lost $554.65 in total.+$554.65
- Skip trades closed at 22:00 UTC15 trades closed in that hour lost $238.80 in total.+$238.80
Stock tokens
Robinhood stock tokens, identified by their official contract addresses so lookalike tokens are not counted
By US market session
When each stock trade was closed. Stock tokens trade 24/5, but the underlying stock only trades in full during regular hours.
| Session | Trades | Win rate | Net P&L |
|---|---|---|---|
| Regular hours | 30 | 63% | +$1,605 |
| Pre-market | 29 | 62% | +$1,439 |
| After hours | 21 | 43% | -$43.86 |
| Overnight | 44 | 52% | +$2,119 |
| Market closed | 56 | 64% | +$3,707 |
Stocks traded
| Token | Company | Trades | Win rate | Net P&L |
|---|---|---|---|---|
| TSLA | Tesla | 72 | 65% | +$6,110 |
| NVDA | NVIDIA | 54 | 61% | +$2,917 |
| AAPL | Apple | 34 | 44% | -$554.65 |
| AMZN | Amazon | 20 | 50% | +$354.00 |
Tokens
Ranked by traded volume
| Market | Trades | Win rate | Volume | Net P&L |
|---|---|---|---|---|
| TSLA | 72 | 65% | $1.7M | +$6,110 |
| NVDA | 54 | 61% | $1.2M | +$2,917 |
| AAPL | 34 | 44% | $714K | -$554.65 |
| AMZN | 20 | 50% | $436.4K | +$354.00 |
Recent trades
Latest closed trades, newest first
| Closed | Market | Side | Size | Net P&L |
|---|---|---|---|---|
| Sep 1, 01:42 UTC | AMZN | Long | $12.9K | +$278.28 |
| Aug 31, 17:35 UTC | AMZN | Long | $5,300 | +$67.75 |
| Aug 31, 12:34 UTC | TSLA | Long | $11.8K | +$76.87 |
| Aug 31, 02:01 UTC | NVDA | Long | $5,572 | -$82.81 |
| Aug 30, 18:41 UTC | TSLA | Long | $9,169 | +$213.96 |
| Aug 30, 02:06 UTC | NVDA | Long | $19.2K | -$202.52 |
| Aug 30, 00:25 UTC | NVDA | Long | $11.3K | -$156.15 |
| Aug 29, 17:08 UTC | AMZN | Long | $11.2K | +$278.71 |
| Aug 29, 13:30 UTC | TSLA | Long | $10.2K | -$107.07 |
| Aug 29, 07:21 UTC | AMZN | Long | $7,150 | -$55.60 |
| Aug 28, 22:44 UTC | NVDA | Long | $4,489 | +$41.48 |
| Aug 28, 14:03 UTC | NVDA | Long | $7,531 | +$67.53 |