INSTITUTIONAL-GRADE DATA

Eleven years of options. Not a screenshot of a screenshot.

We hold every option chain back to 2014 in cold storage and pull intraday snapshots throughout the trading day. Every backtest you see ran across all of it.

Contracts
12.4M
contracts ingested
Raw chain data
1.2 TB
full chains, trades, IV, greeks
Trading days
238K
per-symbol historical surface
Coverage
11 yrs
continuous walk-forward data

Total contracts ingested per year.

Coverage by year

Contracts
201420152016201720182019202020212022202320242025
OUR OUTPUT IS NOT NOISE

We say no, too — and we show our work.

Most options content shows you the wins. We publish the rejects. Here are three plays we filtered out this week, with the audit reason.

TSLA
Iron Condor
Rejected

Earnings 3 days before expiry

EVENT PROXIMITY
WHY REJECTED

Event-proximity audit found earnings inside the proposed holding window. Historical IV expansion routinely overwhelms short-premium edges around the report. The setup failed before sizing.

CSCO
Covered Strangle
Rejected

Bid-ask spread > 35% of mid

QUOTE QUALITY
WHY REJECTED

Quote-quality gate caught a spread wide enough to erase the modeled edge. Live fills would depend on midpoint optimism instead of executable markets. The audit rejected the chain as stale.

NVDA
Calendar
Rejected

Survivorship-biased base rate

STATISTICAL
WHY REJECTED

The base-rate validator found the apparent edge came from a biased cohort. Comparable high-momentum names did not survive the corrected significance test. The calendar setup stayed out of the published list.

AUDITED · WALK-FORWARD · 11 YEARS

Backtest, in public.

Eleven years. $10,000 starting. Themis Quant signals, applied mechanically. Compare against SPY buy-and-hold.

$10,000 $47,930vs SPY $31,840+51% outperformance
Themis equal-weightSPY total return
CAGR
17.8%
Audited
Sharpe
1.84
Audited
Max DD
−14.2%
Audited
Win rate
64.1%
Audited
DISCLAIMER

Backtests aren't promises. Live results lag backtest by ~30 bps/month on average due to slippage, commissions, and quote staleness. Past performance does not guarantee future returns. See our methodology for full assumptions.

VS THE COMPETITION

Honest comparison. No marketing math.

We picked the features that actually matter. Tools without a feature get a dash, not a euphemism.

Feature
Themis Quant ★
OptionStrat
Tastytrade
Unusual Whales
10+ year backtests
✓ Yes
Walk-forward validation
✓ Yes
Audit reasoning per trade
✓ Yes
● Partial
● Partial
Real bid/ask quotes
✓ Yes
✓ Yes
✓ Yes
✓ Yes
GEX with real OI
✓ Yes
✓ Yes
Multiple-hypothesis correction
✓ Yes
Rejected-trade transparency
✓ Yes
Live paper-vs-backtest tracker
✓ Yes
Strategy builder
● Partial
✓ Yes
✓ Yes
Flow / dark-pool signals
● Partial
✓ Yes
Founder photo
A NOTE FROM THE FOUNDER

I built Themis because I lost $14k trading options based on someone's PDF.

That PDF promised a 78% win rate. It was real — for the cherry-picked 14 months in the screenshot. Run the same rules over 10 years and the win rate dropped to 51%. Run them with realistic slippage and they lost money outright.

I spent the next two years building the version I wished I'd had: every signal carries its own backtest, every backtest gets a Holm-corrected p-value, and every recommendation tells you what could kill it before you click submit.

Beginners get five clear picks a day with the historical receipts attached. Active traders get the cockpit — 17 strategy engines, walk-forward sweeps, an AI second opinion grounded in the same dataset.

If you've ever stared at a green arrow on someone's Discord and thought "but where's the math" — Themis is what's behind the math.

— Founder · Themis Quant · Building since 2024
FROM THE PRIVATE BETA

Three audiences, one tool.

The rejected-trades feed alone is worth the subscription. It's the first tool that tells me why a setup is bad, not just which setups are good.

MC
Marcus Chen
10-year options trader, prop desk
Quant

I came in scared of options. Themis showed me a covered call on stock I already owned and walked through the win rate. I made $40 in a week and didn't blow up. I'm still here.

SW
Sara Whittaker
Self-directed retail, 2 yrs in
Beginner

Walk-forward backtests with Holm-corrected p-values is how my old desk evaluated signals. Seeing it in a $30/mo product is — frankly — surprising.

DR
Devon R.
Former SIG quant
Pro
PRICING

Three plans. Honest math.

Start free for 7 days. Cancel any time. No upsell to a 'pro' plan that hides features behind a sales call.

Beginner

Beginner.

$9.99/mo

Five backtest-vetted picks a day, plain-English walkthroughs, and the historical receipts on every recommendation.

  • 5 daily picks · backtested win rate, sample size, worst case
  • Plain-English trade walkthroughs
  • Cash-secured puts, covered calls, long calls, spreads
  • Audit report on every pick (event + quote-quality checks)
  • Live paper-trading sandbox
  • Email digest at market open
Start 7-day trial →
Most chosen
Pro

Pro.

$29.99/mo

The full cockpit. 17 strategy engines, AI Analyst, live paper-vs-backtest tracker, rejected-trade feed.

  • Everything in Beginner
  • 17 strategy engines with walk-forward backtests
  • AI Analyst second-opinion on every trade
  • Rejected-trade feed — see what we killed and why
  • Live paper-vs-backtest drift tracker
  • Multi-leg builder · diagonals, condors, jade lizards
  • Slippage analytics by symbol / strategy
Start 7-day trial →
Quant

Quant.

$99.99/mo

Quant-fund-grade tooling. Holm correction, regime-conditional sizing, the full 1.2 TB dataset queryable.

  • Everything in Pro
  • Holm-corrected multiple-hypothesis tests
  • Regime-conditional position sizing
  • Custom strategy authoring (Python notebooks)
  • Full 1.2 TB historical dataset access · queryable
  • Walk-forward sweep API
  • Priority Slack support · founder direct line
Start 7-day trial →

Trade options like the math is on your side.

Start free. Take five backtested plays a day. Promote what passes; reject what doesn't. No fluff.