> ## Documentation Index > Fetch the complete documentation index at: https://docs.sequency.sh/llms.txt > Use this file to discover all available pages before exploring further. # Get matching trading strategies > Find matching options strategies via graph traversal. ## Strategy Categories - **momentum**: MomentumBreakout, TrendFollowing - **mean_reversion**: MeanReversion, FadeTheMove - **intraday**: VWAPBounce, OpeningRangeBreakout - **volatility**: VolatilityCompression - **level_based**: PivotPlay ## Match Scoring Strategies are scored based on: 1. Requirement satisfaction (70% weight) 2. Market condition alignment (30% weight) Only strategies with match_score >= 0.5 are returned. ## Response Includes - Current market conditions inferred from stock data - Matching strategies sorted by score - For each strategy: - Requirements met/not met - Recommended parameters (DTE, delta, etc.) - Position size modifier ## Performance Target <300ms response time. ## OpenAPI ````yaml /api/openapi.json get /api/graph/v1/stocks/{symbol}/strategies openapi: 3.1.0 info: title: Sequency Graph API description: > # Sequency Graph-Native Trading API Graph-native API for trading intelligence, built on FalkorDB. ## Features - **Screener**: Filter stocks using graph-native queries with relationship expansion - **Stock Detail**: Complete stock context with all relationships - **Confluence Scoring**: Setup quality assessment with weighted components - **Strategy Matching**: Find matching options strategies via graph traversal - **Market Context**: Current market-wide context for trading decisions ## Data Sources All data is sourced from the FalkorDB knowledge graph, populated by: - Pattern detector (Go) - Technical indicators, patterns - Graph sync service - Levels, volume profiles, news, day classification version: 1.0.0 servers: [] security: [] paths: /api/graph/v1/stocks/{symbol}/strategies: get: tags: - Stocks summary: Get matching trading strategies description: |- Find matching options strategies via graph traversal. ## Strategy Categories - **momentum**: MomentumBreakout, TrendFollowing - **mean_reversion**: MeanReversion, FadeTheMove - **intraday**: VWAPBounce, OpeningRangeBreakout - **volatility**: VolatilityCompression - **level_based**: PivotPlay ## Match Scoring Strategies are scored based on: 1. Requirement satisfaction (70% weight) 2. Market condition alignment (30% weight) Only strategies with match_score >= 0.5 are returned. ## Response Includes - Current market conditions inferred from stock data - Matching strategies sorted by score - For each strategy: - Requirements met/not met - Recommended parameters (DTE, delta, etc.) - Position size modifier ## Performance Target <300ms response time. operationId: get_strategies_api_graph_v1_stocks__symbol__strategies_get parameters: - name: symbol in: path required: true schema: type: string title: Symbol responses: '200': description: Strategy matches content: application/json: schema: $ref: '#/components/schemas/StrategyMatchResponse' '404': description: Stock not found '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' '504': description: Query timeout components: schemas: StrategyMatchResponse: properties: symbol: type: string title: Symbol market_conditions: items: type: string type: array title: Market Conditions description: Current market conditions (e.g., 'HIGH_IV', 'UPTREND', 'LOW_VIX') matches: items: $ref: '#/components/schemas/StrategyMatch' type: array title: Matches description: Matching strategies sorted by score type: object required: - symbol title: StrategyMatchResponse description: >- Options strategy recommendations based on current market conditions. Matches are produced by ``strategy_service.get_strategy_matches()``, which evaluates a static rule table (the ``STRATEGIES`` dict) against the stock's current indicator values and market conditions. This does NOT use the knowledge graph; an earlier graph-traversal design (Strategy REQUIRES / WORKS_IN_CONDITION edges) was specced but never implemented. example: market_conditions: - LOW_VIX - UPTREND - HIGH_VOLUME matches: - category: momentum direction: bullish match_score: 0.85 parameters: delta_target: 0.4 ideal_iv_rank: 30 max_dte: 45 min_dte: 21 position_size_modifier: 1 requirements_met: - actual: 1 indicator: trend_stack_valid satisfied: true threshold: 1 - actual: 1.5 indicator: rel_volume satisfied: true threshold: 1.2 strategy: MomentumBreakout symbol: AAPL HTTPValidationError: properties: detail: items: $ref: '#/components/schemas/ValidationError' type: array title: Detail type: object title: HTTPValidationError StrategyMatch: properties: strategy: type: string title: Strategy description: Strategy name (e.g., 'MomentumBreakout', 'VWAPBounce') category: type: string title: Category description: Strategy category (e.g., 'momentum', 'mean_reversion', 'volatility') direction: type: string title: Direction description: 'Bias direction: ''bullish'', ''bearish'', or ''neutral''' match_score: type: number maximum: 1 minimum: 0 title: Match Score description: Match quality score 0-1 requirements_met: items: $ref: '#/components/schemas/RequirementMet' type: array title: Requirements Met description: Individual requirement statuses parameters: $ref: '#/components/schemas/StrategyParameters' description: Recommended parameters type: object required: - strategy - category - direction - match_score - parameters title: StrategyMatch description: Individual strategy match result. ValidationError: properties: loc: items: anyOf: - type: string - type: integer type: array title: Location msg: type: string title: Message type: type: string title: Error Type input: title: Input ctx: type: object title: Context type: object required: - loc - msg - type title: ValidationError RequirementMet: properties: indicator: type: string title: Indicator description: Indicator name (e.g., 'rsi_14', 'iv_percentile') threshold: type: number title: Threshold description: Required threshold value actual: type: number title: Actual description: Actual current value satisfied: type: boolean title: Satisfied description: Whether requirement is met type: object required: - indicator - threshold - actual - satisfied title: RequirementMet description: Individual strategy requirement status. StrategyParameters: properties: ideal_iv_rank: anyOf: - type: number maximum: 100 minimum: 0 - type: 'null' title: Ideal Iv Rank description: Ideal IV percentile for strategy min_dte: anyOf: - type: integer minimum: 0 - type: 'null' title: Min Dte description: Minimum days to expiration max_dte: anyOf: - type: integer minimum: 0 - type: 'null' title: Max Dte description: Maximum days to expiration delta_target: anyOf: - type: number maximum: 1 minimum: -1 - type: 'null' title: Delta Target description: Target delta for options position position_size_modifier: type: number maximum: 2 minimum: 0.25 title: Position Size Modifier description: Position size adjustment default: 1 type: object title: StrategyParameters description: Recommended parameters for a strategy. ````