How TraderReps works

Find a statistical edge, build a universe around it, then replay that universe — random or day by day — until the execution is automatic.

The loop: find it → build it → drill it

1

Find your edge in Edge Lab

Search any stock and set your own gap threshold (say, gaps above 10%). Edge Lab scans its whole history and shows how those gap days actually behaved — Day-1 move, gap-fill rate, Day-2 follow-through — and lets you replay any one. Start from real base rates, not a hunch.

2

Build your universe

Turn that edge into a basket of names — filter by market cap, volume, price, sector and your own minimum gap size (e.g. "small-cap gappers under $20 that gap 20%+"). Save it, and choose how you'll drill it: random or linear.

3

Replay your universe in the trainer

Drill exactly that universe with the ticker and date hidden — random for pure pattern reps in any order, or linear to live it day by day through time and resume where you left off. You read the chart, step bar by bar, place paper orders, then reveal — locking in the execution and the patterns that keep recurring across your names.

Start training free →

FAQ

Is this real market data?

Yes. Charts replay actual historical price action from real US-listed stocks, and Edge Lab's statistics are computed from real daily history — never simulated.

Why hide the ticker and date?

Knowing the name ("it's TSLA, it'll bounce") or the outcome lets you fool yourself. Hiding both forces an honest read of the chart in front of you — exactly like a live trade where you can't see the future.

What does Edge Lab tell me?

For any ticker and gap threshold you choose, it reports the statistics of past gap-ups: how often they closed green, the average Day-1 return, how often the gap filled, and Day-2 follow-through — plus a replayable log of every qualifying session. It's where you find the edge before you drill it.

What's the Universe Builder for?

It's where you bottle an edge into the pool of setups you practice on. Filter thousands of names by market cap, volume, price, sector and your own minimum gap size, set the playback mode (random or linear), then save it. Pick it in the trainer's Custom dropdown — or hit "Train this universe →" — and every chart you drill is drawn from stocks that match your strategy. Setups come from both our curated gap deck and full US-market history.

Random vs linear — what's the difference?

Two ways to drill the same universe. Random serves a random qualifying gap day each time you hit Next — fast, high-volume pattern reps. Linear walks your universe's gap days in chronological order, day by day through time, and remembers where you stopped so you resume next visit — the closest thing to living your edge in real time. Either way the ticker and date stay hidden; you just see how far along you are.

How do I choose how big a gap to drill?

Each universe carries its own minimum gap %, which you set when you save it. Want to drill 1–3% large-cap gaps? Set it low. Only want the 50%+ penny runners? Set it high. There's no restriction — it defines exactly which days count as a setup for that universe.

Do my trades and progress save?

Yes — your paper balance, win rate, and trade log persist to your account and follow you across devices. You can keep multiple separate sessions, one per strategy.

What do the plans include?

Free gives you a daily allowance of charts. Paid tiers (Plus and Pro Max) unlock unlimited reps, deeper history, more sessions, custom universe filters, and Edge Lab. See the pricing table for the full comparison.

Can I cancel anytime?

Yes. Manage or cancel your subscription anytime from your Settings page via the secure Stripe billing portal — no emails, no hassle.

Is TraderReps trading advice?

No. It's a practice and research tool for building your own discretionary skill. Nothing here is financial advice, and past statistics don't guarantee future results.

Contact us

Questions, bug reports, or feature ideas — reach out. We read everything.

𝕏

X community

@traderrepsdev — join the conversation and share feedback.

Home Privacy Policy Terms of Use Contact