Flow Anomaly Strategy API
Scores directional options-flow imbalance (call vs put volume) from the live chain and, when the flow is one-sided, proposes the matching short vertical spread.
Endpoint
X-Api-Key)
Rate Limited: Yes
Growth plan+
Parameters
| Name | In | Required | Default | Description |
|---|---|---|---|---|
symbol |
path | yes | - | Underlying symbol (e.g. SPY) |
expiry |
query | no | full chain (all upcoming expiries) | yyyy-MM-dd. Restricts the analysis to a single expiry. |
curl -H "X-Api-Key: YOUR_API_KEY" \
"https://lab.flashalpha.com/v1/strategies/flow-anomaly/SPY"
import requests
resp = requests.get(
"https://lab.flashalpha.com/v1/strategies/flow-anomaly/SPY",
headers={"X-Api-Key": "YOUR_API_KEY"}
)
data = resp.json()
print(f"{data['decision']} (score {data['score']}, regime {data['regime']})")
const resp = await fetch(
"https://lab.flashalpha.com/v1/strategies/flow-anomaly/SPY",
{ headers: { "X-Api-Key": "YOUR_API_KEY" } }
);
const data = await resp.json();
console.log(`${data.decision} (score ${data.score}, regime ${data.regime})`);
Response
Returns the standard strategy decision envelope. The metrics and regime fields are specific to this strategy (see below).
{
"strategy": "flow_anomaly",
"symbol": "SPY",
"timestamp": "2026-06-05T14:32:11Z",
"decision": "candidate",
"score": 72,
"confidence": 0.83,
"regime": "bullish_flow_imbalance",
"best_structures": [
{
"rank": 1,
"structure": "short_put_spread",
"expiry": "2026-06-19",
"legs": [
{ "action": "sell", "type": "put", "strike": 588, "delta": -0.25, "premium": 1.42, "quantity": 1 },
{ "action": "buy", "type": "put", "strike": 578, "delta": -0.12, "premium": 0.72, "quantity": 1 }
],
"credit": 0.70,
"debit": null,
"max_profit": 0.70,
"max_loss": 9.30,
"breakevens": [587.30],
"edge_score": 72,
"liquidity_score": 0.88
}
],
"metrics": {
"bias": "bullish",
"call_put_volume_ratio": 1.84,
"call_put_oi_ratio": 1.12,
"total_volume": 412300,
"total_open_interest": 1875400,
"underlying_price": 589.12,
"dominant_premium_usd": 38420000,
"dominant_premium_pct": 0.63,
"top3_strikes_volume_pct": 0.41
},
"risk_flags": [],
"why": ["Call volume outweighs put volume by 1.84x."],
"avoid_if": ["Volume imbalance fades intraday or flow turns from sweep-driven to block-driven."],
"data_quality": { "score": 90, "warnings": [] }
}
Notable Metrics
| Key |
|---|
bias |
call_put_volume_ratio |
call_put_oi_ratio |
total_volume |
total_open_interest |
dominant_premium_usd |
dominant_premium_pct |
top3_strikes_volume_pct |
underlying_price |
Regime Values
bullish_flow_imbalancebearish_flow_imbalanceneutral_flow
Errors
| Status | error |
When |
|---|---|---|
400 | invalid_expiry | expiry is present but not yyyy-MM-dd. |
403 | tier_restricted | Caller is below the Growth plan. |
404 | symbol_not_found | No market data for the symbol. |
About
Flow anomaly reads the live chain and measures how lopsided directional options flow is, comparing call versus put volume alongside open-interest ratios and premium concentration. A strongly one-sided tape pushes the score toward candidate and sets a bullish or bearish regime.
When the imbalance is decisive, the strategy proposes the matching short vertical spread (a short put spread on bullish flow, a short call spread on bearish flow) so the signal arrives as a ranked, tradeable structure rather than just a number.
Common Use Cases
- Surface the tilt - read
regimeto find names where directional flow has decisively gone call- or put-heavy - Trade only clean signals - act when
decisioniscandidateand skipno_setupreads where the tilt is noise - Drop in the proposed structure - pull
best_structures[]for a ready short vertical aligned with the flow direction - Rank the watchlist - sort by
scoreto find the cleanest flow setups across a universe - Size on conviction - scale the directional clip by
scoreandconfidencerather than a fixed lot - Respect the guardrails - honor
risk_flags[]and require a cleandata_qualitybefore acting on the tilt
Related
Related reading
- Flow signals API: scoring unusual options activity - how the flow tilt is scored
- ML on options data: a quant guide - feed flow features into a systematic model
- Alpha decay: which signals erode - how quickly a flow edge decays
Complementary endpoints
- Strategy Signals overview - the shared decision envelope across every strategy
- Flow Signals - the raw scored flow the anomaly read is built on
- Dealer Regime - confirm the tilt against where dealers sit in gamma
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