Connection check
verified live · 26h ago
quantdata
Four market-statistics tools + a free qd_ key by email: 1 anonymous look, then 10 calls/UTC day.
Tools
5
GitHub stars
1
Installs / wk
—
Licence
MIT
Transport
streamable-http
Last checked
26h ago
Tools & capabilities
5 toolsRead from the running server on 26h ago.
quantdata_brooks_events
read-only
symbol*window
Classical Brooks price-action events detected in the current trading window — the day's first range breakout, breakout follow-through, closes in the top or bottom third of an estab… Classical Brooks price-action events detected in the current trading window — the day's first range breakout, breakout follow-through, closes in the top or bottom third of an established range, long-lived-range breakouts, climactic spikes — each paired with the outcome rate measured for that exact definition in that exact window (pre-registered, ES 5-minute bars 2010-2026). Range breakouts also carry a calibrated per-event estimate of the probability the breakout closes back through its level within 10 bars (validated zero-shot on NQ 2023+: AUC 0.646, calibration error 5.1%, n=2,637). Answers 'what just happened structurally, and how did events like it resolve historically'. Works around the clock on 24-hour instruments, including the Asia-close-to-US-open gap window. Some measured rates contradict the classical claims; quote the measured numbers, not the folklore. Every read also carries two blocks that answer different questions and must not be mixed: `day_type` is the five-class day-type distribution, from the model trained for the current window. In the regular day session it is mode=day_session, with published accuracy: 66% top-1 over a complete session and 53.5% at the 90-minute mark, against a 37% majority-class baseline. In the Asian window it is mode=asia_session — trained natively on Asian windows, pre-registered, confirmed zero-shot on NQ — whose accuracy figures live in the response's own `accuracy` field and use their own label taxonomy: never quote the day-session figures for an asia read or vice versa. The gap window has no validated model and returns available=false there. `shape` is plain arithmetic over the bars already printed (where price closed inside its own range, how much of the travel was one-way, deepest pullback) — no model, no accuracy claim, available in every window including the gap. Report day_type as a distribution with its baseline; report shape as measurement, never as a forecast. **`day_type.analysis` is the block to lead with (day-session reads only; the asia_session read carries no analysis layer)** — it answers 'should today's read be trusted at all' before it answers 'what is today'. It carries: `confidence` (the model's own conviction crossed with how consistently the most similar past sessions resolved — both high has been right 95% of the time, both low only 41%, against a 66% baseline; say which bucket today falls in and stop treating a low-confidence read as a call); `live_now` (patterns mechanically confirmed on today's bars so far — e.g. 'broke yesterday's low then reclaimed it = bear trap confirmed' — this is what actually happened, trust it over any statistical checklist); `what_to_watch` (patterns over-represented on this day type, each with a status_today of yes/no/forming/unknown and a concrete way to verify it intraday; use the ordering, not the raw lift decimals); and `summary` / `summary_zh`, a one-line verdict written to be relayed verbatim — if you pass along only one sentence, pass that one. Descriptive statistics — not a recommendation. Check window_is_live before calling a read 'now'.
quantdata_gamma
read-only
symbol*by_strike
Estimated dealer gamma exposure (GEX) for a US listed stock or ETF: net and gross GEX, the zero gamma (flip) level and the heaviest strikes. Unlike max pain this is a Black-Scholes… Estimated dealer gamma exposure (GEX) for a US listed stock or ETF: net and gross GEX, the zero gamma (flip) level and the heaviest strikes. Unlike max pain this is a Black-Scholes ESTIMATE — zero rate, zero dividend, implied volatility solved from end-of-day quotes, and the convention that dealers are long every call and short every put. Keep that framing when reporting it. A null flip is not an error: check flip_status — 'no_sign_change_within_10pct' means net gamma keeps one sign across the whole traded range, which is a state worth reporting. US listed stocks and ETFs only, with a liquid chain: cash-settled index options (SPX, NDX, RUT, VIX) return an error — use SPY, QQQ, IWM instead. Reads the prior session's settled open interest and cannot update intraday whatever the clock says, so report as_of and spot_date with the number.
quantdata_max_pain
read-only
symbol*distribution
Options max pain per expiration, computed from open interest alone: the strike at which option buyers lose the most in aggregate if the underlying settled there. Pure arithmetic —… Options max pain per expiration, computed from open interest alone: the strike at which option buyers lose the most in aggregate if the underlying settled there. Pure arithmetic — no pricing model, no volatility assumption, so anyone with the same chain gets the same number. Also returns put/call ratio and the heaviest call and put open-interest strikes. Returns every expiration inside 45 days rather than picking one, because the figure is per-expiration and the near- and far-dated values routinely disagree. US listed stocks and ETFs only: cash-settled index options (SPX, NDX, RUT, VIX) return an error — use SPY, QQQ, IWM. Open interest settles overnight, so this describes the prior session's positioning; report as_of and spot_date alongside the number.
quantdata_request_free_api_key
email*marketing_opt_in
Send a free qd_ API key to an email address. No account, card, payment or GUI is required. The key covers all four market-data tools, sharing 10 successful calls per UTC day. The r… Send a free qd_ API key to an email address. No account, card, payment or GUI is required. The key covers all four market-data tools, sharing 10 successful calls per UTC day. The raw key is delivered only to the inbox and is never returned in this tool result. Ask the user for the email address before calling. Set marketing_opt_in to true only when the email owner explicitly asks to receive occasional product updates; it defaults to false and is not required for the key. A true value stays pending until the recipient replies SUBSCRIBE to the key email.
quantdata_weis_wave
read-only
symbol*session