Arya Somayajula Pavan Kumar — Quant researcher, US equities
Two Fidelity accounts, both started at $30,000, traded under the same method — opening-range breakouts and 9 EMA / VWAP breakouts in liquid US equities, mostly in the first hour after the open. Every figure below is net of commissions and fees. The bad months are in here too.
01 / ACCOUNTS
Different statement windows, same trader and method. Account A ran January to June; Account B ran January to August 2026.
| Metric | Account A | Account B |
|---|---|---|
| Statement period | 29 Jan – 18 Jun 2026 | 5 Jan – 25 Aug 2026 |
| Starting capital | $30,000 | $30,000 |
| Net realized P&L | +$35,913 (+119.7%) | +$67,375 (+224.6%) |
| Trading days | 83 | 108 |
| Closed trades · per day | 963 · 11.6 | 1,968 · 18.2 |
| Win rate · trades | days | 53.2% | 65.1% | 59.3% | 71.2% |
| Profit factor · trades | days | 1.41 | 2.15 | 1.46 | 1.99 |
| Average win | average loss | $240 | −$207 | $182 | −$188 |
| Max realized drawdown | −$9,573 (−29.2%) · 25 Mar | −$34,128 (−42.9%) · 25 Feb |
Account A ends at $65,913 realized equity. Account B ends at $97,375 realized equity. Both statement windows end mid-month, so the last month in each series is partial — discount it accordingly.
02 / DRAWDOWN
Before March 2026 there was no intraday stop-loss rule. Losses could accumulate past any daily threshold, and they did. The deepest drawdown in either account happened in that window.
03 / PROCESS
Short-duration trades in liquid US equities. Opening-range breakouts and 9 EMA / VWAP breakouts, confirmed with cumulative volume delta divergence and a 200 EMA trend filter. Executed in clips, mostly in the first hour after the open.
| Account A | Account B | |
|---|---|---|
| Median trade size (notional) | $41,909 | $37,034 |
| Executions per day | 223 | 244 |
| Fees paid | $6,269 | $6,160 |
| Closed trades per day | 11.6 | 18.2 |
Typically 200–500 share clips in high-liquidity, high-beta names. A breakout without 200 EMA agreement is a reject — the filter is the rule, not a suggestion.
04 / RISK
Risk is read from realized losses, because the broker exports do not contain stop orders. Outliers matter more than averages. Trades represent one symbol's position from flat to flat. All P&L figures are reported net of commissions and fees.
| Measure | Account A | Account B |
|---|---|---|
| Average loss per losing trade | −$207 | −$188 |
| Average loss as % of trade size | −0.24% | −0.20% |
| Worst trade | best trade | −$3,469 | +$3,790 | −$10,208 | +$6,730 |
| Average winning day | losing day | $1,244 | −$1,078 | $1,830 | −$2,268 |
| Best day | worst day | $3,992 | −$4,984 | $7,019 | −$25,237 |
05 / RESEARCH
Walk-forward and Monte Carlo validation. On Nasdaq opening-range trades, range size, direction and VWAP slope held up under robustness testing. Execution overlays did not show a confirmed edge, and that branch was frozen rather than deployed.
06 / VERIFICATION
Everything above is a summary. The record holds the tables, the month-by-month series and the risk statistics. Evidence can be reviewed without publishing client identifiers.
Methodology. Realized cash flow per position, net of fees, reconciled to raw account cash flows. Equity curves start at $30,000 and exclude deposits and withdrawals.
Limitations, stated plainly. Two accounts, one five-to-eight-month window, realized P&L only, net of commissions and fees. Past results do not guarantee future results.