Chip Street Capital · Trading report

Derivatives trading

91 trades, one contract at a time, judged by what they risked as much as what they made.

January to September 2026 · Trader: Navansh Kumar Talwar · Instrument: E-mini S&P 500 (ES), CME · Source: personal trade log, unaudited · All figures per single contract, in USD

Net P&L$22,449449.0 index points
Trades91of ~225 sessions
Win rate72.5%of trades taken
Expectancy$2474.9 points per trade
Max drawdown−$1,684Recovered in 3 weeks
Net P&L / drawdown13.3xProfit per dollar of drawdown
Largest loss−$1,600Single trade
Profitable months9 of 930 of 45 weeks positive

01 / Strategy

From discretionary observations to systematic rules.

The work combines daily futures market observation with strategy development: identifying setups, documenting outcomes, avoiding weak conditions, and translating the strongest patterns into logic that can be tested and automated.

Market setupEntry & exit rulesRisk controlsAlgorithm testing

Not trading is part of the strategy. Across 225 possible sessions the log records 91 trades, so more than half were passed: FOMC days, holidays, and setups that failed the filters. The filter is what keeps a bad week from becoming a bad month.

02 / Contract and execution

One contract, intraday, flat into the close.

Results are quoted in points and dollars per contract rather than as a percentage return, because a percentage depends on how the account is margined and the log does not record that.

Instrument
E-mini S&P 500 (ES), CME
Contract multiplier
$50 per index point
Minimum tick
0.25 pt = $12.50
Notional per contract
Index level × $50
Size
1 contract per trade, no scaling
Holding period
Intraday only, flat into the close
Days not traded
FOMC days, holidays, setups that fail the filters

03 / Performance

$22,449 over 45 weeks, every month positive.

Equity curve

Realised P&L in USD, 1 ES contract per trade · January to September 2026
$0$5k$10k$15k$20kJanFebMarAprMayJunJulAugSep$22,449
Hover the chart for any weekShaded band marks the largest drawdown: −$1,684 from February W1 to February W3

Month by month

Realised P&L in USD · bars scaled to the strongest month
January$4,208
February$264
March$3,038
April$3,366
May$2,464
June$3,164
July$3,305
August$617
September$2,023

04 / Risk analysis

Losses stayed small and short.

Week level statistics from the same log. They show how the result was reached: how often weeks lost, how large the losses were, and how long recovery took.

Winning / losing / flat weeks30 / 9 / 6
Average winning week$907
Average losing week−$529
Gains in winning weeks ÷ losses in losing weeks5.7x
Best week$2,539 (July W2)
Worst week−$1,092 (February W3)
Longest run of losing weeks2 weeks
Longest run without a losing week12 weeks
Largest drawdown−$1,684, February W1 to February W3
New equity high after drawdownMarch W1, 3 weeks after the low
Largest single trade loss−$1,600

The largest drawdown, −$1,684, is 7.5% of the period's net profit, and the curve made a new high 3 weeks after the low. Losing weeks never ran longer than 2 in a row.

05 / Return per contract

What one contract earned.

Net index points~449 pts$22,449 on 1 contract, January to September
Expectancy per trade$2474.9 pts across 91 trades
Net P&L to max drawdown13.3x−$1,684 peak to trough

Expectancy is net P&L divided by trades taken. The drawdown ratio divides net P&L by the largest peak to trough decline on the weekly equity curve.

06 / Limitations and next steps

What this record does not show yet.

Self recordedResults come from a personal trade log and are unaudited. They are not verified live account statements.
Short sample9 months and 91 trades is a short record. Past results are not indicative of future results.
Weekly detail onlyThe site shows weekly totals. Average winning and losing trade, and a trade level profit factor, need the trade by trade log and are not estimated here.
Next stepTurn the strongest, most repeatable setups into rules that can be backtested and automated, and publish trade level statistics alongside the weekly record.