TrueFillsbeta
Flagshipbroker-verified·paperEquities only

TrueFills Printhouse Strategy

The strategy that buys fear.

The live record

broker-verified·paper

Read from the brokerage account this strategy trades, since 2026-09-01. Nothing here is modelled: every figure comes from fills the broker reported and the daily equity it published.

Performance

Computed from the sealed record, not reported by the creator. Round trips are paired first in, first out, and returns are measured against the account's equity when the record opens ($51,088).

Max drawdown
−1.8%
The deepest fall from a high point to the low that followed it. The worst stretch someone following this would have sat through.
Sharpe
6.69
Return per unit of volatility on the realised daily curve, annualised, with flat days counted. Above 1 means the gains were large relative to how much the equity moved around. Shown from ten weekdays on record.
Total return
+8.7%
The plain return since the record began. Not annualised under 90 days: compounding a few weeks into a yearly rate says more about the calendar than the strategy.
Trades
34
Completed round trips: an entry and the exit that closed it. A position still open is not counted.
Win trades
76%
The share of completed round trips that made money.
Profit factor
10.5
Everything made on winning trades divided by everything lost on losing ones. Above 1 means the wins outweigh the losses; 2 means twice as much.
Win monthsn=2
100%
The share of months that finished up, out of 2 months on the record.
Live equity · since 2026-09-01$55,531.17
DateEquityDay
2026-10-0216:00 reading · official close due next morning$55,535.00+2.94%
2026-09-30$53,947.38+0.83%
2026-09-29$53,505.60+0.33%
2026-09-28$53,327.75−1.07%
2026-09-25$53,904.81−0.71%
2026-09-24$54,289.49+1.16%
2026-09-23$53,666.19+1.09%
2026-09-22$53,088.17+0.58%
2026-09-21$52,781.20+0.36%
2026-09-18$52,592.11+0.23%

Returns by month

YearJanFebMarAprMayJunJulAugSepOctNovDecYTD
2026········+5.6%+2.9%··+8.7%

A month inside the record with nothing closed in it is a flat month and reads 0.0%. Months before the first trade are blank. Year totals compound the months rather than adding them.

We send one link to confirm first. Nothing else goes to this address.

The backtest

Simulated

A simulation over 2011-2020 out-of-sample, run before this strategy ever placed an order. No order was placed and nothing slipped. It is why the strategy was worth running. It is not evidence that it works.

Max drawdown
−22.6%
The deepest peak-to-trough fall in the 2011-2020 out-of-sample window. Backtested, not traded.
Leverage
none
What the simulation assumed, and what the strategy uses live: it never borrows and never sells short.
CAGR (10y)
35.2%
Compound annual return over the 2011-2020 out-of-sample window, with trading costs modelled. Backtested, not traded.
Sharpe
1.69
Return per unit of volatility over the same backtest window. Above 1 means the returns were large relative to how much the equity curve moved around.
vs buy & hold (10y)1,936% vs 259%
+1,677 pts
Total return over the 2011-2020 out-of-sample window: this strategy against holding SPY buy & hold for the same 10 years, from compound annual rates of 35.2% and 13.65%. Backtested, not traded.
Win rate
67.3%
Share of closed trades that finished positive over the 2011-2020 out-of-sample window. On its own it says nothing about profitability: many small wins can still lose to one large loss. Backtested, not traded.
Profit factor
2.26
Gross profit divided by gross loss over the 2011-2020 out-of-sample window: every dollar lost was matched by 2.26 dollars won. Backtested, not traded.

Every year, against the S&P 500

Against the index in every row. A rate for the decade says nothing about how it got there, so here is each year the run covers, from the first: the flat ones, the losing one, and the two that made most of it.

Out of sample

Never tuned on these years. The figures at the top of this page are this decade.

2011-2020 out-of-sample
$10k became

$203,598

$10k in SPY buy & hold

$35,906

A year, compounded

35.2%

over 10 years

Deepest fall

−22.6%

YearStrategySPY buy & holdRelative size, strategy above the index
2011+8.5%+0.8%
2012+22.7%+16.0%
2013+98.4%+32.3%
2014+37.3%+13.5%
2015+32.2%+1.2%
2016+3.2%+12.0%
2017+48.9%+21.7%
2018+1.6%−4.6%
2019+42.4%+31.2%
2020+91.1%+18.3%

In sample

The years the parameters were chosen on. A good number here is the fitting working: context, not evidence.

2021-2026 in-sample
$10k became

$98,524

$10k in SPY buy & hold

$22,408

A year, compounded

50.5%

over 5.6 years

Deepest fall

−16.0%

YearStrategySPY buy & holdRelative size, strategy above the index
2021+69.6%+28.7%
2022−12.3%−18.2%
2023+50.7%+26.2%
2024+109.8%+24.9%
2025+40.0%+17.7%
2026to 08/13+49.8%+14.7%

Every trade, read from the broker

The record above is not typed in by anyone. Every fill is read from the brokerage account this strategy trades, stored append-only, and sealed daily into a hash chain published in full. 21 records and counting, and nothing already sealed can be edited without every seal after it disagreeing.

The rows are served through the API rather than listed on this page, so a subscriber reads them where their software already is.

Anyone can read
Sequence, seal time and SHA-256 hash for every entry, plus the daily equity chain in full.
Subscribers can read
Symbol, side, size and price on each fill, through the same endpoint. Letting it trade your account counts, and is free during the beta.
Nobody can write
Not the creator, not us. Entries come from the brokerage account, and the chain refuses a rewrite.
Where it comes from
Read from Alpaca on a schedule, not posted by hand.

Backtested figures are simulated. Past performance does not guarantee future results.