Add additional flow classifiers

This commit is contained in:
dirtydishes 2026-01-09 16:01:08 -05:00
parent 1583a50412
commit f96f5699ef
2 changed files with 627 additions and 34 deletions

View file

@ -14,6 +14,8 @@ export type ClassifierConfig = {
minAggressorRatio: number;
};
const MS_PER_DAY = 86_400_000;
const clamp = (value: number, min = 0, max = 1): number => {
if (!Number.isFinite(value)) {
return min;
@ -33,8 +35,29 @@ const getNumberFeature = (packet: FlowPacket, key: string): number => {
return typeof value === "number" && Number.isFinite(value) ? value : 0;
};
const getStringFeature = (packet: FlowPacket, key: string): string => {
const value = packet.features[key];
return typeof value === "string" ? value : "";
};
const formatPct = (value: number): string => `${Math.round(value * 100)}%`;
const getAggressorContext = (
packet: FlowPacket
): {
coverage: number;
aggressiveBuyRatio: number;
aggressiveSellRatio: number;
aggressiveRatio: number;
} => {
return {
coverage: getNumberFeature(packet, "nbbo_coverage_ratio"),
aggressiveBuyRatio: getNumberFeature(packet, "nbbo_aggressive_buy_ratio"),
aggressiveSellRatio: getNumberFeature(packet, "nbbo_aggressive_sell_ratio"),
aggressiveRatio: getNumberFeature(packet, "nbbo_aggressive_ratio")
};
};
const applyAggressorAdjustment = (
confidence: number,
coverage: number,
@ -61,6 +84,124 @@ const applyAggressorAdjustment = (
return { confidence: adjusted, note };
};
type LargeActivity = {
count: number;
totalPremium: number;
totalSize: number;
windowMs: number;
premiumZ: number;
sizeZ: number;
premiumBaselineReady: boolean;
sizeBaselineReady: boolean;
passesAbsolute: boolean;
passesZ: boolean;
baselineNote: string;
};
const getLargeActivity = (packet: FlowPacket, config: ClassifierConfig): LargeActivity => {
const count = getNumberFeature(packet, "count");
const totalPremium = getNumberFeature(packet, "total_premium");
const totalSize = getNumberFeature(packet, "total_size");
const windowMs = getNumberFeature(packet, "window_ms");
const premiumZ = getNumberFeature(packet, "total_premium_z");
const sizeZ = getNumberFeature(packet, "total_size_z");
const premiumBaseline = getNumberFeature(packet, "total_premium_baseline_n");
const sizeBaseline = getNumberFeature(packet, "total_size_baseline_n");
const premiumBaselineReady = premiumBaseline >= config.zMinSamples;
const sizeBaselineReady = sizeBaseline >= config.zMinSamples;
const passesAbsolute = totalSize >= config.spikeMinSize && totalPremium >= config.spikeMinPremium;
const passesZ =
(premiumBaselineReady && premiumZ >= config.spikeMinPremiumZ) ||
(sizeBaselineReady && sizeZ >= config.spikeMinSizeZ);
const baselineNote =
premiumBaselineReady || sizeBaselineReady
? `Baseline z-scores: premium ${premiumZ.toFixed(2)}, size ${sizeZ.toFixed(2)}.`
: "Baseline z-scores unavailable.";
return {
count,
totalPremium,
totalSize,
windowMs,
premiumZ,
sizeZ,
premiumBaselineReady,
sizeBaselineReady,
passesAbsolute,
passesZ,
baselineNote
};
};
const applySideAggressorAdjustment = (
confidence: number,
coverage: number,
ratio: number,
config: ClassifierConfig,
label: string
): { confidence: number; note: string } => {
const normalizedCoverage = clamp(coverage, 0, 1);
const normalizedRatio = clamp(ratio, 0, 1);
let adjusted = confidence;
if (normalizedCoverage <= 0) {
return {
confidence: adjusted - 0.15,
note: "Aggressor mix unavailable (no NBBO coverage)."
};
}
if (normalizedCoverage < config.minNbboCoverage) {
adjusted -= 0.1;
}
if (normalizedRatio >= config.minAggressorRatio) {
adjusted += 0.05;
} else {
adjusted -= 0.1;
}
const note = `Aggressor mix ${formatPct(normalizedRatio)} ${label}, NBBO coverage ${formatPct(
normalizedCoverage
)}.`;
return { confidence: adjusted, note };
};
const getReferenceTs = (packet: FlowPacket): number | null => {
const endTs = getNumberFeature(packet, "end_ts");
if (endTs > 0) {
return endTs;
}
if (Number.isFinite(packet.source_ts) && packet.source_ts > 0) {
return packet.source_ts;
}
return null;
};
const getDteDays = (packet: FlowPacket, contract: ParsedContract): number | null => {
const expiryTs = Date.parse(`${contract.expiry}T00:00:00Z`);
if (!Number.isFinite(expiryTs)) {
return null;
}
const referenceTs = getReferenceTs(packet);
if (!referenceTs) {
return null;
}
const diffMs = expiryTs - referenceTs;
if (diffMs < 0) {
return null;
}
return Math.ceil(diffMs / MS_PER_DAY);
};
const buildSweepHit = (
packet: FlowPacket,
contract: ParsedContract,
@ -130,43 +271,30 @@ const buildSweepHit = (
};
const buildSpikeHit = (packet: FlowPacket, config: ClassifierConfig): ClassifierHit | null => {
const count = getNumberFeature(packet, "count");
const totalPremium = getNumberFeature(packet, "total_premium");
const totalSize = getNumberFeature(packet, "total_size");
const windowMs = getNumberFeature(packet, "window_ms");
const premiumZ = getNumberFeature(packet, "total_premium_z");
const sizeZ = getNumberFeature(packet, "total_size_z");
const premiumBaseline = getNumberFeature(packet, "total_premium_baseline_n");
const sizeBaseline = getNumberFeature(packet, "total_size_baseline_n");
const coverage = getNumberFeature(packet, "nbbo_coverage_ratio");
const aggressiveBuyRatio = getNumberFeature(packet, "nbbo_aggressive_buy_ratio");
const aggressiveSellRatio = getNumberFeature(packet, "nbbo_aggressive_sell_ratio");
const activity = getLargeActivity(packet, config);
const { coverage, aggressiveBuyRatio, aggressiveSellRatio } = getAggressorContext(packet);
const aggressiveRatio = Math.max(aggressiveBuyRatio, aggressiveSellRatio);
const premiumBaselineReady = premiumBaseline >= config.zMinSamples;
const sizeBaselineReady = sizeBaseline >= config.zMinSamples;
const passesAbsolute = totalSize >= config.spikeMinSize && totalPremium >= config.spikeMinPremium;
const passesZ =
(premiumBaselineReady && premiumZ >= config.spikeMinPremiumZ) ||
(sizeBaselineReady && sizeZ >= config.spikeMinSizeZ);
if (!passesAbsolute && !passesZ) {
if (!activity.passesAbsolute && !activity.passesZ) {
return null;
}
let confidence = 0.5;
if (totalSize >= config.spikeMinSize * 2) {
if (activity.totalSize >= config.spikeMinSize * 2) {
confidence += 0.15;
}
if (totalPremium >= config.spikeMinPremium * 2) {
if (activity.totalPremium >= config.spikeMinPremium * 2) {
confidence += 0.15;
}
if (count >= 3) {
if (activity.count >= 3) {
confidence += 0.1;
}
if (passesZ) {
if (activity.passesZ) {
confidence += 0.1;
if (premiumZ >= config.spikeMinPremiumZ + 1 || sizeZ >= config.spikeMinSizeZ + 1) {
if (
activity.premiumZ >= config.spikeMinPremiumZ + 1 ||
activity.sizeZ >= config.spikeMinSizeZ + 1
) {
confidence += 0.05;
}
}
@ -174,20 +302,365 @@ const buildSpikeHit = (packet: FlowPacket, config: ClassifierConfig): Classifier
const aggressor = applyAggressorAdjustment(confidence, coverage, aggressiveRatio, config);
confidence = clamp(aggressor.confidence, 0, 0.9);
const baselineNote =
premiumBaselineReady || sizeBaselineReady
? `Baseline z-scores: premium ${premiumZ.toFixed(2)}, size ${sizeZ.toFixed(2)}.`
: "Baseline z-scores unavailable.";
return {
classifier_id: "unusual_contract_spike",
confidence,
direction: "neutral",
explanations: [
`Unusual contract spike: ${count} prints in ${Math.round(windowMs)}ms for ${packet.features.option_contract_id ?? packet.id}.`,
`Premium ${formatUsd(totalPremium)} across ${Math.round(totalSize)} contracts.`,
`Unusual contract spike: ${activity.count} prints in ${Math.round(activity.windowMs)}ms for ${packet.features.option_contract_id ?? packet.id}.`,
`Premium ${formatUsd(activity.totalPremium)} across ${Math.round(activity.totalSize)} contracts.`,
`Thresholds: >=${config.spikeMinSize} contracts and >=${formatUsd(config.spikeMinPremium)} premium or z>=${config.spikeMinPremiumZ.toFixed(1)}.`,
baselineNote,
activity.baselineNote,
aggressor.note
]
};
};
const buildOverwriteHit = (
packet: FlowPacket,
contract: ParsedContract,
config: ClassifierConfig
): ClassifierHit | null => {
if (contract.right !== "C") {
return null;
}
const activity = getLargeActivity(packet, config);
if (!activity.passesAbsolute && !activity.passesZ) {
return null;
}
const { coverage, aggressiveSellRatio } = getAggressorContext(packet);
let confidence = 0.45;
if (activity.totalPremium >= config.spikeMinPremium * 2) {
confidence += 0.15;
}
if (activity.totalSize >= config.spikeMinSize * 2) {
confidence += 0.1;
}
if (activity.count >= 3) {
confidence += 0.05;
}
if (activity.passesZ) {
confidence += 0.1;
}
const aggressor = applySideAggressorAdjustment(
confidence,
coverage,
aggressiveSellRatio,
config,
"sell-side"
);
confidence = clamp(aggressor.confidence, 0, 0.9);
return {
classifier_id: "large_call_sell_overwrite",
confidence,
direction: "bearish",
explanations: [
`Likely call overwrite: ${activity.count} prints in ${Math.round(activity.windowMs)}ms for ${packet.features.option_contract_id ?? packet.id}.`,
`Premium ${formatUsd(activity.totalPremium)} across ${Math.round(activity.totalSize)} contracts.`,
`Thresholds: >=${config.spikeMinSize} contracts and >=${formatUsd(config.spikeMinPremium)} premium or z>=${config.spikeMinPremiumZ.toFixed(1)}.`,
"Direction inferred from sell-side aggressor mix.",
activity.baselineNote,
aggressor.note
]
};
};
const buildPutWriteHit = (
packet: FlowPacket,
contract: ParsedContract,
config: ClassifierConfig
): ClassifierHit | null => {
if (contract.right !== "P") {
return null;
}
const activity = getLargeActivity(packet, config);
if (!activity.passesAbsolute && !activity.passesZ) {
return null;
}
const { coverage, aggressiveSellRatio } = getAggressorContext(packet);
let confidence = 0.45;
if (activity.totalPremium >= config.spikeMinPremium * 2) {
confidence += 0.15;
}
if (activity.totalSize >= config.spikeMinSize * 2) {
confidence += 0.1;
}
if (activity.count >= 3) {
confidence += 0.05;
}
if (activity.passesZ) {
confidence += 0.1;
}
const aggressor = applySideAggressorAdjustment(
confidence,
coverage,
aggressiveSellRatio,
config,
"sell-side"
);
confidence = clamp(aggressor.confidence, 0, 0.9);
return {
classifier_id: "large_put_sell_write",
confidence,
direction: "bullish",
explanations: [
`Likely put write: ${activity.count} prints in ${Math.round(activity.windowMs)}ms for ${packet.features.option_contract_id ?? packet.id}.`,
`Premium ${formatUsd(activity.totalPremium)} across ${Math.round(activity.totalSize)} contracts.`,
`Thresholds: >=${config.spikeMinSize} contracts and >=${formatUsd(config.spikeMinPremium)} premium or z>=${config.spikeMinPremiumZ.toFixed(1)}.`,
"Direction inferred from sell-side aggressor mix.",
activity.baselineNote,
aggressor.note
]
};
};
const buildStraddleStrangleHit = (
packet: FlowPacket,
config: ClassifierConfig
): ClassifierHit | null => {
const structureType = getStringFeature(packet, "structure_type");
if (structureType !== "straddle" && structureType !== "strangle") {
return null;
}
const activity = getLargeActivity(packet, config);
const { coverage, aggressiveBuyRatio, aggressiveSellRatio, aggressiveRatio } =
getAggressorContext(packet);
const structureLegs = getNumberFeature(packet, "structure_legs");
const structureStrikes = getNumberFeature(packet, "structure_strikes");
const strikeSpan = getNumberFeature(packet, "structure_strike_span");
let confidence = 0.45;
if (activity.totalPremium >= config.spikeMinPremium) {
confidence += 0.1;
}
if (activity.totalSize >= config.spikeMinSize) {
confidence += 0.05;
}
if (structureLegs >= 4) {
confidence += 0.05;
}
const aggressor = applyAggressorAdjustment(confidence, coverage, aggressiveRatio, config);
confidence = clamp(aggressor.confidence, 0, 0.85);
let volBias = "mixed aggressor skew";
if (aggressiveBuyRatio >= aggressiveSellRatio + 0.1) {
volBias = "buy-side skew suggests long volatility";
} else if (aggressiveSellRatio >= aggressiveBuyRatio + 0.1) {
volBias = "sell-side skew suggests short volatility";
}
const skewNote = `Aggressor skew: buy ${formatPct(aggressiveBuyRatio)}, sell ${formatPct(
aggressiveSellRatio
)}; ${volBias}.`;
return {
classifier_id: structureType === "straddle" ? "straddle" : "strangle",
confidence,
direction: "neutral",
explanations: [
`Likely ${structureType}: ${structureLegs} legs across ${structureStrikes} strikes (span ${strikeSpan}).`,
`Premium ${formatUsd(activity.totalPremium)} across ${Math.round(activity.totalSize)} contracts.`,
skewNote,
aggressor.note
]
};
};
const buildVerticalSpreadHit = (
packet: FlowPacket,
config: ClassifierConfig
): ClassifierHit | null => {
const structureType = getStringFeature(packet, "structure_type");
if (structureType !== "vertical") {
return null;
}
const structureRights = getStringFeature(packet, "structure_rights");
if (structureRights !== "C" && structureRights !== "P") {
return null;
}
const activity = getLargeActivity(packet, config);
const { coverage, aggressiveBuyRatio, aggressiveSellRatio } = getAggressorContext(packet);
const structureLegs = getNumberFeature(packet, "structure_legs");
const structureStrikes = getNumberFeature(packet, "structure_strikes");
const strikeSpan = getNumberFeature(packet, "structure_strike_span");
let confidence = 0.5;
if (activity.totalPremium >= config.spikeMinPremium) {
confidence += 0.1;
}
if (activity.totalSize >= config.spikeMinSize) {
confidence += 0.05;
}
if (structureLegs >= 3) {
confidence += 0.05;
}
let direction: "bullish" | "bearish" | "neutral" = "neutral";
let biasNote = "Debit/credit bias unclear (insufficient aggressor data).";
let aggressorNote = "Aggressor mix unavailable (no NBBO coverage).";
const hasAggressor = coverage > 0 && aggressiveBuyRatio + aggressiveSellRatio > 0;
if (hasAggressor) {
const buyDominant = aggressiveBuyRatio >= aggressiveSellRatio;
const dominantRatio = buyDominant ? aggressiveBuyRatio : aggressiveSellRatio;
const label = buyDominant ? "buy-side" : "sell-side";
const aggressor = applySideAggressorAdjustment(
confidence,
coverage,
dominantRatio,
config,
label
);
confidence = aggressor.confidence;
aggressorNote = aggressor.note;
const spreadBias = buyDominant ? "debit" : "credit";
biasNote = `Aggressor skew: buy ${formatPct(aggressiveBuyRatio)}, sell ${formatPct(
aggressiveSellRatio
)}; suggests ${spreadBias} ${structureRights === "C" ? "call" : "put"} vertical.`;
if (structureRights === "C") {
direction = buyDominant ? "bullish" : "bearish";
} else {
direction = buyDominant ? "bearish" : "bullish";
}
} else {
confidence -= 0.1;
}
confidence = clamp(confidence, 0, 0.85);
return {
classifier_id: "vertical_spread",
confidence,
direction,
explanations: [
`Likely vertical spread: ${structureLegs} legs across ${structureStrikes} strikes (span ${strikeSpan}).`,
`Premium ${formatUsd(activity.totalPremium)} across ${Math.round(activity.totalSize)} contracts.`,
biasNote,
aggressorNote,
"Direction inferred from debit/credit bias."
]
};
};
const buildLadderHit = (
packet: FlowPacket,
config: ClassifierConfig
): ClassifierHit | null => {
const structureType = getStringFeature(packet, "structure_type");
if (structureType !== "ladder") {
return null;
}
const activity = getLargeActivity(packet, config);
const { coverage, aggressiveRatio } = getAggressorContext(packet);
const structureRights = getStringFeature(packet, "structure_rights");
const structureLegs = getNumberFeature(packet, "structure_legs");
const structureStrikes = getNumberFeature(packet, "structure_strikes");
const strikeSpan = getNumberFeature(packet, "structure_strike_span");
const qualifies =
activity.totalPremium >= config.spikeMinPremium ||
activity.totalSize >= config.spikeMinSize ||
activity.passesZ;
if (!qualifies) {
return null;
}
let confidence = 0.45;
if (activity.totalPremium >= config.spikeMinPremium * 2) {
confidence += 0.1;
}
if (activity.totalSize >= config.spikeMinSize * 2) {
confidence += 0.1;
}
if (structureStrikes >= 4) {
confidence += 0.05;
}
if (activity.passesZ) {
confidence += 0.05;
}
const aggressor = applyAggressorAdjustment(confidence, coverage, aggressiveRatio, config);
confidence = clamp(aggressor.confidence, 0, 0.85);
let direction: "bullish" | "bearish" | "neutral" = "neutral";
if (structureRights === "C") {
direction = "bullish";
} else if (structureRights === "P") {
direction = "bearish";
}
return {
classifier_id: "ladder_accumulation",
confidence,
direction,
explanations: [
`Likely multi-strike ladder accumulation: ${structureLegs} legs across ${structureStrikes} strikes (span ${strikeSpan}).`,
`Premium ${formatUsd(activity.totalPremium)} across ${Math.round(activity.totalSize)} contracts.`,
`Thresholds: ladder structure plus >=${config.spikeMinSize} contracts or >=${formatUsd(config.spikeMinPremium)} premium.`,
"Direction inferred from call/put ladder.",
activity.baselineNote,
aggressor.note
]
};
};
const buildFarDatedHit = (
packet: FlowPacket,
contract: ParsedContract,
config: ClassifierConfig
): ClassifierHit | null => {
const dteDays = getDteDays(packet, contract);
if (!dteDays || dteDays < 60) {
return null;
}
const activity = getLargeActivity(packet, config);
if (!activity.passesAbsolute && !activity.passesZ) {
return null;
}
const { coverage, aggressiveRatio } = getAggressorContext(packet);
let confidence = 0.5;
if (dteDays >= 90) {
confidence += 0.05;
}
if (activity.totalPremium >= config.spikeMinPremium * 2) {
confidence += 0.1;
}
if (activity.totalSize >= config.spikeMinSize * 2) {
confidence += 0.05;
}
if (activity.passesZ) {
confidence += 0.1;
}
const aggressor = applyAggressorAdjustment(confidence, coverage, aggressiveRatio, config);
confidence = clamp(aggressor.confidence, 0, 0.85);
return {
classifier_id: "far_dated_conviction",
confidence,
direction: contract.right === "C" ? "bullish" : "bearish",
explanations: [
`Likely far-dated ${contract.right === "C" ? "call" : "put"} positioning: ${dteDays} DTE for ${packet.features.option_contract_id ?? packet.id}.`,
`Premium ${formatUsd(activity.totalPremium)} across ${Math.round(activity.totalSize)} contracts.`,
`Thresholds: DTE >=60 and >=${config.spikeMinSize} contracts or >=${formatUsd(config.spikeMinPremium)} premium (or z-scores).`,
"Direction inferred from call/put right.",
activity.baselineNote,
aggressor.note
]
};
@ -222,5 +695,37 @@ export const evaluateClassifiers = (
hits.push(spikeHit);
}
if (contract) {
const overwriteHit = buildOverwriteHit(packet, contract, config);
if (overwriteHit) {
hits.push(overwriteHit);
}
const putWriteHit = buildPutWriteHit(packet, contract, config);
if (putWriteHit) {
hits.push(putWriteHit);
}
const farDatedHit = buildFarDatedHit(packet, contract, config);
if (farDatedHit) {
hits.push(farDatedHit);
}
}
const structureHit = buildStraddleStrangleHit(packet, config);
if (structureHit) {
hits.push(structureHit);
}
const verticalHit = buildVerticalSpreadHit(packet, config);
if (verticalHit) {
hits.push(verticalHit);
}
const ladderHit = buildLadderHit(packet, config);
if (ladderHit) {
hits.push(ladderHit);
}
return hits;
};

View file

@ -15,12 +15,14 @@ const baseConfig: ClassifierConfig = {
minAggressorRatio: 0.55
};
const DEFAULT_TS = Date.UTC(2024, 0, 2);
const buildPacket = (
overrides: Record<string, string | number | boolean>
): FlowPacket => {
return {
source_ts: 1,
ingest_ts: 1,
source_ts: DEFAULT_TS,
ingest_ts: DEFAULT_TS,
seq: 1,
trace_id: "trace",
id: "packet",
@ -32,6 +34,8 @@ const buildPacket = (
total_size: 20,
first_price: 1,
last_price: 1.01,
start_ts: DEFAULT_TS - 500,
end_ts: DEFAULT_TS,
window_ms: 500,
...overrides
},
@ -100,3 +104,87 @@ describe("classifier z-score behavior", () => {
expect((highHit?.confidence ?? 0)).toBeGreaterThan(lowHit?.confidence ?? 0);
});
});
describe("classifier structure and positioning signals", () => {
test("call overwrite triggers on sell-side aggressor mix", () => {
const packet = buildPacket({
option_contract_id: "SPY-2024-03-15-450-C",
total_premium: 80_000,
total_size: 800,
nbbo_coverage_ratio: 0.9,
nbbo_aggressive_sell_ratio: 0.7,
nbbo_aggressive_buy_ratio: 0.3
});
const hits = evaluateClassifiers(packet, baseConfig);
expect(hits.some((hit) => hit.classifier_id === "large_call_sell_overwrite")).toBe(true);
});
test("put write triggers on sell-side aggressor mix", () => {
const packet = buildPacket({
option_contract_id: "SPY-2024-03-15-450-P",
total_premium: 75_000,
total_size: 700,
nbbo_coverage_ratio: 0.85,
nbbo_aggressive_sell_ratio: 0.68,
nbbo_aggressive_buy_ratio: 0.32
});
const hits = evaluateClassifiers(packet, baseConfig);
expect(hits.some((hit) => hit.classifier_id === "large_put_sell_write")).toBe(true);
});
test("straddle classifier triggers on structure tag", () => {
const packet = buildPacket({
structure_type: "straddle",
structure_legs: 2,
structure_strikes: 1,
structure_rights: "C/P",
structure_strike_span: 0
});
const hits = evaluateClassifiers(packet, baseConfig);
expect(hits.some((hit) => hit.classifier_id === "straddle")).toBe(true);
});
test("vertical spread infers direction from aggressor skew", () => {
const packet = buildPacket({
structure_type: "vertical",
structure_legs: 2,
structure_strikes: 2,
structure_rights: "C",
structure_strike_span: 5,
total_premium: 55_000,
total_size: 600,
nbbo_coverage_ratio: 0.85,
nbbo_aggressive_buy_ratio: 0.7,
nbbo_aggressive_sell_ratio: 0.3
});
const hits = evaluateClassifiers(packet, baseConfig);
const hit = hits.find((candidate) => candidate.classifier_id === "vertical_spread");
expect(hit?.direction).toBe("bullish");
});
test("ladder accumulation triggers on multi-strike structures", () => {
const packet = buildPacket({
structure_type: "ladder",
structure_legs: 3,
structure_strikes: 3,
structure_rights: "C",
structure_strike_span: 10,
total_premium: 60_000,
total_size: 650
});
const hits = evaluateClassifiers(packet, baseConfig);
expect(hits.some((hit) => hit.classifier_id === "ladder_accumulation")).toBe(true);
});
test("far-dated conviction triggers on 60DTE threshold", () => {
const packet = buildPacket({
option_contract_id: "SPY-2024-04-19-450-C",
end_ts: DEFAULT_TS,
total_premium: 70_000,
total_size: 800
});
const hits = evaluateClassifiers(packet, baseConfig);
const hit = hits.find((candidate) => candidate.classifier_id === "far_dated_conviction");
expect(hit?.direction).toBe("bullish");
});
});