Real-time · ~670 US names · 1-second data

See what's moving.
Know its history.
Trade your edge.

Statrades ranks the whole universe by a 0–100 mover score the moment names ignite — then shows what happened after similar crosses before: median run, drawdown, win rate, path. The decision stays yours.

Live scoring from the open 36,685-crossing research atlas Descriptive, never a forecast
V3 Scanner · Live · 09:41:07 ET
NVDX
sample readout · illustrative
$142.60 +8.4% from open · rel vol 6.8×
WATCHING
85/ 100
80–89 BAND
When this stock scored here before
80–89 band · historical crossingsn = 94 RELIABLE
entry
+13.1%
med MFE ↑
−6.2%
med MAE ↓
Hist. win rate
71%
Time to MFE (med)
1h 10m
Forward path (hist.)
Direct
Med EOD return
+4.8%
Your call. Ride the continuation, or let it exhaust and fade the move. Statrades lays out the map — you pick the route.
Descriptive past behavior — not a forecast.
~670-name live universe 1-second market data 23 sector groups 36,685-crossing atlas 150 verified metrics
// How it works

Detect. Contextualize. Decide.

Three things happen in the seconds after a stock starts to run. Statrades does the first two instantly, so you can spend all of your attention on the third.

PHASE 01

It spots the mover

The V3 engine scores all ~670 names on live 1-second data from the opening bell. The score is a 0–100 mover detector — built to surface which names are moving hardest, not to predict direction. When something ignites, it rises instantly.

PHASE 02

It pulls the history

When this stock scored here before — median MFE, median MAE, win rate, dominant path shape, with sample sizes and reliability tags. Drawn from a sealed 36,685-crossing research atlas plus a live session ledger tracking the same entry rule forward.

PHASE 03

You make the call

Long the continuation or fade the exhaustion — that's your read. Statrades fires no signals and executes nothing. It lays out live technicals and historical behavior so your discretion is informed, not guessed.

// The edge, in one read

One score. Two ways to trade it.

A name crosses into the 80–89 band just after the open. Statrades shows the history instantly: across 94 comparable crossings, it reached a median +13.1% favorable move — while dipping a median −6.2% against along the way.

Now it's a decision, not a guess. Buy the strength early — or let the crowd exhaust and fade it. Same score, two disciplined plays. Statrades arms both; you choose the one that fits your read of the tape.

V3 heatmap · RTHcolored by score
low high score click a tile in-app → full dossier
// What you get at your fingertips

Every metric behind the move.

The score is the entry point. Behind it sits a full quantitative dossier on every name — live and historical — so nothing about the setup is a mystery.

01

Live V3 scoring

All ~670 names ranked every second from open to close on a 0–100 mover score. The V3 heatmap and scoreboard put the day's hardest movers on top the moment they move.

02

Band history

"When this stock scored here before" — per-band median MFE, MAE and EOD return, win rate, dominant path shape, with sample sizes and reliability tags on every stat.

03

Track Record

A live MFE ledger tracks every score crossing forward through the session — side-by-side with the sealed atlas backtest. Proof you can inspect, updated in real time.

04

Sector board

23 sector groups ranked hottest-first: median move, breadth, leaders and average score per group — see instantly whether the whole group is running or just one name.

05

Approaching high

Names pressing toward their prior high of day, with ATR-normalized distance, price and volume acceleration, and coiled / breakout states — structure, not just percent movers.

06

Quant search

Ask in plain language — "nvda beta vs spy 31 days", "tsla realized vol 21 days" — against 150 verified metrics. Numbers from the engine, not a chatbot.

// Developer API

Build on the engine.

The same verified quant layer that powers the app is exposed over a clean JSON API — natural language or structured operations, with trust metadata on every response.

150 verified metrics across momentum, volatility, volume, correlation, risk and statistical models — every computation validity-gated and cross-validated.

Natural language or structured. Send "RSI of AAPL" or a typed operation like correlate(AAPL, SPY, 30d) — same engine, same verified numbers.

Trust metadata on every response — quality tier, observation count, validation status. The API refuses bad inputs instead of guessing.

Ledger & scanner endpoints — today's crossings, per-ticker band history, live snapshots and OHLC history alongside the quant surface.

Honest status: session-authenticated today; dedicated API keys are on the roadmap. Compute endpoints are rate-limited to 30 req/min.

POST /api/v1/quant/compute
// request — natural language { "query": "RSI of AAPL" } // response — verified, with trust metadata { "status": "ok", "result": { "value": 42.1, "name": "Rsi", "symbols": ["AAPL"], "scope": { "id": "current", "n": 14 } }, "trust": { "quality_tier": "good", "observation_count": 80, "validation_tier": "cross_validated" } }
GET/api/v1/quant/capabilities GET/api/ledger/today GET/api/ledger/ticker/{T}/bands GET/api/ticker/{T}?tf=1min WS/ws · live snapshots
// Early access

Get in before the open.

Statrades is opening to a first group of discretionary traders and builders. Request access and we'll reach out as spots free up.

Access granted in small waves · discretionary traders & builders first