Stochastic %K
Stochastic %K.
What it measures
The stochastic oscillator's %K: where the current price sits inside the high-low range of the lookback period, in [0, 100]. It answers a narrower question than RSI — position in range rather than strength of moves — which makes it faster and noisier. Served per timeframe via the window axis, point-in-time.
References: Multi-timeframe indicators.
Point-in-time, leak-free
Like every QUANT_API feature, technicals.stoch_k is computed point-in-time: each value uses only data that had actually arrived at the timestamp you query — live or historical. No restatements, no backfills that quietly rewrite the past, no look-ahead. The value your backtest sees at a given stamp is the value the live API would have returned at that stamp. How we enforce this is documented on the methodology page.
Windows & transforms
The signal is computed over rolling windows; each window can be served raw or through a transform (z-score, percentile rank, delta…). Which windows and transforms you can query depends on your plan — the signal itself supports:
Plan & access
technicals.stoch_k unlocks on the Signal plan ($99/mo) and every plan above it. Every new account starts with a 14-day free trial of the Signal plan — no card required.
Example call
Resolve the latest value for BTC (1h window, level transform — both available on the Signal plan):
curl -G https://api.quant-api.dev/v1/features/live \
-H "Authorization: Bearer fk_live_<your_key>" \
--data-urlencode "asset=BTC" \
--data-urlencode "features=technicals.stoch_k@1h:level"Same key works on /v1/features/historical for point-in-time backtesting — see the API docs.