菜单
Implement and maintain broker connectivity for Zerodha in brokers/ including auth, session retry behavior, order/position APIs, and historical data sync helpers. Use when touching login flow, order execution, broker resilience, or market data backfill behavior.
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基于 SOC 职业分类
Analyze and evolve the overall architecture of next-gen-algo-trading-bot across ingestion, aggregation, strategy execution, storage, APIs, and UI layers. Use when making cross-module changes, debugging data flow breaks between modules, planning new features, or assessing tradeoffs and risk before refactors.
Operate and extend the Typer CLI entrypoints in cli/main.py for engine start/stop and timeframe worker execution. Use when adding commands, wiring new modules into runtime startup, or debugging startup/config/env failures.
Manage and validate runtime configuration schemas and YAML files under config/ plus root config.yaml for the trading engine. Use when adding config fields, fixing env interpolation, or resolving mismatches between configured and supported timeframes/indicators.
Implement and maintain the core orchestration and compute pipeline in core/ including base interfaces, engine actors, aggregation, timeframe generation, and indicator generation. Use when changing runtime data flow, worker behavior, or strategy execution mechanics.
Maintain local operator dashboards in dashboard/ using Streamlit and Dash for candle inspection and indicator visualization. Use when improving manual observability, chart behavior, or live diagnostics from parquet-backed data.
Maintain live market data feed adapters in feeds/ with focus on Zerodha websocket integration and normalized tick payloads. Use when adding new feed providers, normalizing tick schema, or debugging live tick ingestion issues.
| name | ngat-brokers |
| description | Implement and maintain broker connectivity for Zerodha in brokers/ including auth, session retry behavior, order/position APIs, and historical data sync helpers. Use when touching login flow, order execution, broker resilience, or market data backfill behavior. |
Own the boundary between internal engine components and Zerodha endpoints. Use this skill for reliability and security improvements in broker-facing logic.
brokers/utils.py: TOTP generation, login, cache read/write (.keystore.json), token validation.brokers/kite_trade.py: ZerodhaBroker REST wrapper and retry behavior.brokers/zerodha.py: historical backfill and realtime sync into RedisTimeSeries.enctoken and refresh on retriable auth failures.os.system installs in import path (kite_trade.py) which is unsafe in production.print statements currently risk leaking operational internals.day vs intraday intervals) to avoid API errors.