Does the STS NQ strategy do better or worse on FOMC, CPI and jobs-report (NFP) days?

STS ResearchPublished October 6, 2026

Short answer. No measurable difference. In our hypothetical 2011-2026 NQ backtest, FOMC days won least often, 36.8% of 106 trades against 45.1% of 3,103 on ordinary days, and jobs-report days won most often, but with 15 comparisons run, gaps that size fall within what chance produces.

Many traders treat Fed and data days as special. We tested that belief on our own book, and the lesson reaches past news days: check enough slices of any record and one can look special by luck alone. The last section covers what this means on a prop-firm account with a news rule. All figures are hypothetical backtest results on NQ mini, 1 to 3 contracts scaled by volatility, except one live signal, marked where it appears.

How did the book do on each type of release day?

Every release type was profitable in this hypothetical record. Win rates, the share of trades that made money, ran from 36.8% on FOMC days to 54.0% on jobs-report days, against 45.1% on ordinary days, those with none of the three releases.

The book traded on 295 of the 456 release days, at 0.87 trades per release day against 0.95 on ordinary days. The 456 days carry 466 releases, because 10 days had two.

Day type Days Trades Net P&L Win rate Avg profit per trade Worst trade
FOMC statement 119 106 $53,227 36.8% (39 of 106) $502 -$4,164
CPI release 177 149 $61,605 50.3% (75 of 149) $413 -$5,784
Jobs report (NFP) 170 150 $80,267 54.0% (81 of 150) $535 -$7,458
Any of the three 456 397 $193,754 48.1% (191 of 397) $488 -$7,458
All other days 3,272 3,103 $918,478 45.1% (1,400 of 3,103) $296 -$15,628

Hypothetical backtest, NQ mini, 1 to 3 contracts vol-scaled, August 2011 to August 2026. Eight trades fell on days with two releases, so the type rows sum to 405 trades, not 397. The FOMC worst trade is the July 29, 2026 live signal, shown at its backtest figure.

Are these differences real, or could luck produce them?

Luck can produce them. Of 15 comparisons between release days and ordinary days, one cleared the usual 5% bar on its own, and none stands out once all 15 are counted (hypothetical backtest). The 5% bar marks a result luck would produce less than 1 time in 20.

Picture a room full of people, each flipping a coin five times. Someone will probably flip five heads in a row. That person has no skill; the room gave luck many chances. A result that is rare for one person is ordinary for the room.

Our test works the same way. We compared each of the three release types with ordinary days on five measures: win rate, profit per trade, profit per day, profit per contract and percentage return per trade. That makes 15 comparisons, so 15 people in the room.

For each comparison we ranked the release days among random sets of the same number of trading days. That rank is a percentile: 50 is perfectly ordinary, and 2.8 means only 2.8% of random sets did as badly or worse.

Dot chart of 15 percentiles, three release types on five measures, against random sets of trading days. Jobs-report win rate sits at the 98.7th percentile and FOMC win rate at the 2.8th; the other 13 sit between the 26.5th and 95.5th.Dot chart of 15 percentiles, three release types on five measures, against random sets of trading days. Jobs-report win rate sits at the 98.7th percentile and FOMC win rate at the 2.8th; the other 13 sit between the 26.5th and 95.5th.
How to read it: each dot is one of the 15 comparisons, placed at the percentile where release days rank among random sets of the same number of trading days, where 50 is typical and the shaded band holds the middle 95% of random sets. A dot outside the band clears the 5% bar on its own. Only the jobs-day win rate (98.7) lands outside, and with 15 dots, luck alone would put about one there. Hypothetical backtest, NQ mini 1 to 3 contracts vol-scaled, 2011 to 2026.

The other 13 sat between the 26.5th and 95.5th percentiles. The two striking ones point in opposite directions: jobs-report days won more often than 98.7% of random sets, and FOMC days less often than all but 2.8%.

The fair test is how often the whole room produces a result that extreme. When we ran all 15 comparisons on random sets of days, at least one was as extreme as the jobs-report result 17.8% to 20.4% of the time, and at least one was as extreme as the FOMC result 34.0% to 38.1% of the time (ranges across ten runs).

Are FOMC days worse for the STS book?

Not measurably. FOMC days netted a hypothetical $53,227 over 106 trades and won least often, 36.8% against 45.1% on ordinary days, a gap within what chance produces once all 15 comparisons are counted.

Even taken alone, the gap is fragile: random sets of 119 trading days won as rarely as FOMC days 2.6% to 3.0% of the time, across ten runs of 20,000 sets. Counting surprises in either direction, high or low, doubles that to about 5.6%, which misses the 5% bar.

Win rate by day type with 95% ranges: FOMC 36.8% of 106 (28.2% to 46.3%), CPI 50.3% of 149, jobs report 54.0% of 150, other days 45.1% of 3,103. Every release-day range overlaps 45.1%.Win rate by day type with 95% ranges: FOMC 36.8% of 106 (28.2% to 46.3%), CPI 50.3% of 149, jobs report 54.0% of 150, other days 45.1% of 3,103. Every release-day range overlaps 45.1%.
Each dot is the share of trades that won and each bar its 95% range, the span the true rate plausibly sits in for that number of trades. Every release-day range crosses the ordinary-day rate of 45.1%, so none is clearly different from an ordinary day. Hypothetical backtest, NQ mini 1 to 3 contracts vol-scaled, 2011 to 2026.

Two checks weaken it further:

One strategy carries most of the low rate. Opening Range Break won 12 of 40 FOMC-day trades (30.0%), losing a hypothetical $407 per trade, against 49.2% of 1,136 and a $167 gain on ordinary days. It is the furthest from normal of 15 strategy-and-release combinations, so the room of coin-flippers applies again.

How much of the FOMC-day profit came from one trade?

Most of it. One trade, a $38,823 VWAP Short on December 18, 2024, inside an NQ decline of 22.4% from December 2024 to April 2025, is 73% of all FOMC-day profit (hypothetical).

That is common in small samples: in 22.0% to 22.9% of profitable random sets of 119 trading days, the best trade was at least 73% of the profit.

Cumulative profit over 106 FOMC-day trades. One trade of $38,823 on 2024-12-18 lifts the total from $24,366 to $63,188; it ends at $53,227.Cumulative profit over 106 FOMC-day trades. One trade of $38,823 on 2024-12-18 lifts the total from $24,366 to $63,188; it ends at $53,227.
Notice the single jump in December 2024: that one trade is 73% of FOMC-day profit, so the FOMC total tells you more about one trade than about FOMC days. The last point, 2026-07-29, was a live signal, plotted at its backtest value. Hypothetical backtest, NQ mini 1 to 3 contracts vol-scaled.

Since that trade, FOMC days have won 1 of 7 trades and lost a hypothetical $9,961. The seventh, on July 29, 2026, came after signals went live on July 6, 2026. The live signal, listed in our first live month, lost $4,170 per NQ mini before commissions; its backtest replay lost $4,164 after costs.

Do release days earn more per day than ordinary days?

No. Release days earned a hypothetical $425 per trading day against $281 on ordinary days, and random sets of 456 trading days did better 14.4% to 15.9% of the time, across ten runs of 10,000 sets.

Histogram of net profit per day across 100,000 random sets of 456 trading days, median $294, middle 90% from $104 to $507. Release days, at $425, sit inside that range; 15.1% of random sets did better.Histogram of net profit per day across 100,000 random sets of 456 trading days, median $294, middle 90% from $104 to $507. Release days, at $425, sit inside that range; 15.1% of random sets did better.
The grey bars show how 100,000 random sets of 456 trading days earned per day, and the green line marks the release days. Notice the line sits inside the shaded middle 90% of random sets, and 15.1% of random sets did better, so the higher per-day figure is within ordinary luck. Hypothetical backtest, NQ mini 1 to 3 contracts vol-scaled, 2011 to 2026.

The gap also rests on recent years. From 2011 to 2023, when NQ's lower price meant smaller dollar results per trade, release days earned $145 per day and ordinary days $151. Release days were the weaker group in 8 of 16 calendar years. Of release-day profit, 72% came from 2024 to 2026, against 56% of ordinary-day profit.

Paired bars of net profit per trading day by year, release days against other days, 2011 to 2026. Release days earned less in 8 of 16 years. The widest gaps were 2024, $2,066 against $713, and 2021, -$359 against $584.Paired bars of net profit per trading day by year, release days against other days, 2011 to 2026. Release days earned less in 8 of 16 years. The widest gaps were 2024, $2,066 against $713, and 2021, -$359 against $584.
Each year shows release days on the upper bar and all other days below. Notice release days earned less in 8 of 16 years and took 72% of their profit from 2024 to 2026, so the overall gap rests on three recent years. Hypothetical backtest, NQ mini 1 to 3 contracts vol-scaled; 2026 is a partial year.

Is the book holding a position when a number comes out?

Sometimes. The book held a position through 93 of the 466 releases that fell on trading days, about 6.2 a year, meaning a trade opened before the release and closed after it. Those trades netted a hypothetical $45,532.

Release Releases Held through Net P&L Won Worst trade
FOMC statement 119 28 $28,759 12 of 28 (42.9%) -$2,618
CPI, 8:30 AM ET 177 31 $7,686 16 of 31 (51.6%) -$5,268
Jobs report, 8:30 AM ET 170 34 $9,087 25 of 34 (73.5%) -$2,588
Total 466 93 $45,532 53 of 93 (57.0%) -$5,268

Hypothetical backtest, releases on trading days only. Eight jobs reports and two CPI releases fell on exchange holidays or closed sessions, when the book does not trade, and are left out; our prop-firm guide uses the same 466.

On FOMC days, 20 of the 28 were morning Opening Range Break entries still open at the statement. Without the best of the 28, $9,932 on July 31, 2024, the other 27 netted a hypothetical $18,827.

On CPI and jobs days every trade held through the number was the Overnight strategy, which enters in the evening session and is still open at 8:30 AM, so its exit price includes the reaction. Those 65 trades netted a hypothetical $16,773 on 120 contracts. Slippage is the gap between expected and filled price; 28 ticks of extra slippage per contract on those exits, at $5 per tick, would erase the profit.

Entries right after a release are rare: none came within 30 minutes after a CPI or jobs release, and 7 came within 30 minutes after an FOMC statement, which lands mid-afternoon. Two of the 7 won, including the $38,823 VWAP Short; the 6 besides it netted a hypothetical -$5,483, with 1 winner.

What does this mean for you?

In this record, release days looked like ordinary days. What matters on those days is your account's rules.

How we measured this


Hypothetical Performance Disclaimer (CFTC Rule 4.41): These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.

Past performance is not necessarily indicative of future results. Futures trading involves substantial risk of loss and is not suitable for all investors.

See what STS NQ futures signals are and how they reach you and our forward record, every live signal we have sent, dated and public.

Hypothetical performance disclosure (CFTC Rule 4.41). These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.

Past performance is not indicative of future results. Trading futures involves substantial risk of loss.