A flight simulator for trading judgment

Find out if you're
actually any good.

Every trade is a forecast. Brier replays a real historical setup with the future hidden, you commit a decision before you can see the outcome, and the server scores your process — calibration, discipline, expectancy. Not your luck.

blind by default judged server-side survivorship-free data
INST — 4H·ticker & date hidden
future hidden
read the setup → commit blind → revealbrier 0.187
Built on daily history to ~2000 delisted names included equities + crypto 1-minute drill-down
Why it exists

You cannot improve at something you cannot honestly measure.

Trading gives slow, noisy, self-flattering feedback. Four reasons most traders never find out where they actually stand:

01

Skill is hidden by luck

A handful of good trades feels like mastery. Variance is large and samples are small, so outcome tells you almost nothing about process in the short run.

02

Journals inherit your bias

Self-reported journaling apps record the story you tell yourself. If your read of your own discipline is wrong, the journal is wrong in exactly the same direction.

03

Your data is survivorship-biased

Most study tools only hold currently-listed tickers. The names that diluted, reverse-split or went to zero are quietly deleted — so every backtest is a flattering lie.

04

Nothing confronts miscalibration

Getting better requires seeing, in numbers, where your confidence and reality diverge. Almost nothing in a trader's workflow forces that confrontation.

The core loop

Scan, decide blind, commit, reveal, measure.

One honest repetition at a time. The loop is the product; everything else supports it.

step 1

Scan history

Define a universe and point-in-time conditions. Brier scans years of history — delisted names included — and returns every occurrence as a moment to study.

step 2

Study blind

The chart is drawn up to the signal bar; the future is fogged. Read the setup, decide whether you'd take it, and write a pre-commit note.

step 3

Commit a plan

Entry, stop, target, direction, size. The Gate checks the plan against your own rules and flags any violation before you commit.

step 4

Reveal the outcome

The future un-fogs and the trade resolves into an R multiple — with realistic fill logic, minute-resolved when a daily bar spans both stop and target.

step 5

Read your calibration

The server scores the decision: Brier score, execution gap, decision quality. Your cockpit updates. Nothing self-reported.

step 6

Validate and refine

Lock promising setups and validate expectancy on held-out data, corrected for how many variants you tried. Keep what survives. Repeat.

What Brier is strong in

Six things most tools quietly get wrong.

Blind decisions

The future is fogged from the signal bar. You decide without seeing the outcome — the only honest way to practise judgment.

01 — judgment

Judged by the server

Calibration, execution gap, expectancy and decision quality are computed server-side from your logged decisions. You can't fool yourself.

02 — honesty

Survivorship-free data

Daily history back to ~2000 including delisted names — the ones that diluted, reverse-split or went to zero. You study the true distribution, blow-ups included.

03 — true data

Daily → minute drill-down

Double-click any daily candle, from any year, to drop into that exact day's 1-minute tape and see how the setup really resolved.

04 — resolution

Setup validation

Lock a setup and validate expectancy on held-out data, with multiple-testing (Bonferroni) correction. Quant rigour for a discretionary trader.

05 — rigour

Equities + crypto

One rigorous tool across both, daily and minute level, splits and dividends adjusted consistently. The same honest measurement everywhere you trade.

06 — coverage
A closer look

The instrument, surface by surface.

Scanner / study engine

Scan history, not a snapshot.

Define a universe — date range, exchange, sector, market-cap tier, minimum price, asset class. Add point-in-time conditions and match ALL or ANY. A plain-language summary restates your query, with a live universe count.

  • Delisted-inclusive history — the true distribution
  • Point-in-time conditions; parameters live with each field
  • Every match becomes a card you can accept or reject
Study / test modal

The core training loop.

In study mode the chart stops at the signal bar and the future is hidden. In test mode you commit a plan; the Gate checks it against your rules and flags violations before you commit. Then the future un-fogs and the outcome resolves.

  • Pre-commit note captures your read before the reveal
  • Drag entry, stop and target; size from fixed-fractional risk
  • Minute-resolved outcomes when a bar spans stop and target
Calibration & scoring

Your process, in numbers.

The Brier score and its decomposition — reliability, resolution, uncertainty — plus a calibration curve, an overconfidence index, execution gap and decision quality. The reliability curve shows where your stated confidence and reality diverge.

  • Reliability curve against the line of perfect calibration
  • Trend over time, so you can see process actually move
  • Execution gap: planned versus what you actually did
Validation

Don't fool yourself with data-mining.

Lock a setup and run validation: expectancy with a confidence interval, corrected for how many variants you tried. If the lower bound clears zero on held-out data, the edge survived. If it didn't, you learned that cheaply.

  • Held-out test on data you could not see when forming the rule
  • Bonferroni correction for the variants you tried
  • A measured verdict, not a flattering backtest
The data

Honest measurement needs honest data.

A measuring instrument is only as truthful as what it measures. Brier is built on a dataset most tools quietly avoid.

The names everyone else deletes.

When a company dilutes to nothing, reverse-splits, or delists, most data vendors drop it. Study on that data and you are quietly practising in a world where failure was erased. Brier keeps the delisted names — so when you study a setup, the blow-ups are in the sample, exactly as they were in real time.

point-in-time · split & dividend adjusted · equities + crypto

~2000
daily history reaches back roughly two and a half decades
1 min
drill into any day's tape, from any year
incl.
delisted, diluted and dead names kept in the sample
2
asset classes — equities and crypto, one tool
Who it's for

Built for people who want the real number.

01

Self-directed traders

You want to actually get better, not chase tips. Brier gives you an honest practice range and a calibration score that moves only when your judgment does.

02

Prop-challenge aspirants

You have to prove calibration and discipline to pass an evaluation. Rehearse the gate, log the reps, and walk in with a measured record instead of a hope.

03

Coaches & educators

You want an objective measurement layer for your students. Brier turns "I think you're improving" into a number you can both point at.

Plainly

What Brier is not.

Brier is a measuring instrument and a practice range. It is not any of these, and never pretends to be:

Not a signal service

No alerts, no calls, no "buy this." It measures your decisions; it does not make them for you.

Not a guru

No course funnel, no secret. Just blind reps and the numbers they produce.

Not a promise of returns

It raises the odds you improve and removes guessing. It cannot and does not guarantee money.

The reward is the accurate number,
delivered plainly.

Start with a short calibration baseline. See where you actually stand, then begin moving it.

Questions

Frequently asked.

Is this a backtester?+

No. A backtester scores a mechanical rule over history. Brier scores you — your blind, discretionary decisions — and reports your calibration and discipline, not a curve-fit equity line.

How is the future actually hidden?+

In study and test, the chart is drawn only up to the signal bar; later bars are fogged in the interface and withheld server-side until you commit. You cannot see the outcome before you decide.

Why does delisted data matter?+

If your dataset only holds survivors, every study is biased toward success. Keeping delisted, diluted and dead names means the failures are in your sample — so your measured edge is honest.

What is a Brier score?+

A standard measure of forecast calibration: how well your stated probabilities match observed frequencies. Lower is better. It is the spine of how Brier judges process.

Equities only, or crypto too?+

Both, at daily and minute resolution, with splits and dividends adjusted consistently — so the same honest measurement applies wherever you trade.

Does it tell me what to trade?+

No. Brier has no signals and no opinions on individual names. It is an instrument for measuring and training your own judgment.