How do I install the Trading Data Sources skill?

Run npx skillmds@latest add knuckles-team/trading-data-sources in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Trading Data Sources safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Trading Data Sources?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Trading Data Sources free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Trading Data Sources?

Knuckles-Team (@knuckles-team) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Trading Data Sources by knuckles-team

Name: Trading Data Sources
Author: Knuckles-Team

File contents

Data Sources Skill-Graph — CONCEPT:EX-AHE.harness.ee-7

Market data providers, feeds, and ingestion patterns supported by Emerald Exchange.

Real-Time Data

Exchange Native (via backends)

Source	Tool	Assets	Latency
Alpaca Data API	`emerald_market_data`	US Equities, Crypto	~50ms
CCXT Unified	`emerald_market_data`	100+ crypto exchanges	~100ms
Freqtrade	`emerald_market_data`	Crypto (configurable)	~200ms

Supplementary

Yahoo Finance (yfinance): Free historical equity/crypto/forex data
AKShare (akshare): Chinese market data via quant-data-ingest skill
Alpha Vantage: Free API for US equities, forex, crypto

Historical Data — CONCEPT:EX-AHE.harness.ee-7

Ingestion Patterns

# Via emerald_market_data MCP tool
emerald_market_data(action="historical", symbol="AAPL", period="1y", interval="1d")

# Via quant-data-ingest skill (bulk)
# Routes to timeseries memory backend for persistence

Storage Backends

Backend	Use Case	Config Key
In-Memory	Paper trading, fast backtest	Default
Redis TimeSeries	Production time-series storage	`monitoring.redis_url`
SQLite	Local persistent storage	`data.sqlite_path`

Alternative Data

On-Chain (Crypto) — CONCEPT:EX-AHE.harness.ee-17

Whale alerts (large transfer detection)
Active address count
Exchange inflow/outflow
Funding rates (perpetual futures)

Sentiment

News sentiment via NLP pipeline (route to data-science-mcp)
Social media sentiment (Twitter/Reddit)
Fear & Greed Index

Research Papers

ArXiv quantitative finance papers via scholarx-mcp
Factor research via research-scanner skill

Integration Points

Market Data MCP: emerald_market_data — quotes, historical, streaming
Crypto MCP: emerald_crypto — on-chain, funding rates, arb scanning
Bulk Ingest: quant-data-ingest skill → timeseries memory
Research: scholarx-mcp → knowledge-graph-ingest

---name: trading-data-sourcesdescription: Reference catalog of market data sources and ingestion patterns for the trading ecosystem.---# Data Sources Skill-Graph — CONCEPT:EX-AHE.harness.ee-7Market data providers, feeds, and ingestion patterns supported by Emerald Exchange.## Real-Time Data### Exchange Native (via backends)| Source | Tool | Assets | Latency ||--------|------|--------|---------|| Alpaca Data API | `emerald_market_data` | US Equities, Crypto | ~50ms || CCXT Unified | `emerald_market_data` | 100+ crypto exchanges | ~100ms || Freqtrade | `emerald_market_data` | Crypto (configurable) | ~200ms |### Supplementary- **Yahoo Finance** (`yfinance`): Free historical equity/crypto/forex data- **AKShare** (`akshare`): Chinese market data via `quant-data-ingest` skill- **Alpha Vantage**: Free API for US equities, forex, crypto## Historical Data — CONCEPT:EX-AHE.harness.ee-7### Ingestion Patterns```python# Via emerald_market_data MCP toolemerald_market_data(action="historical", symbol="AAPL", period="1y", interval="1d")# Via quant-data-ingest skill (bulk)# Routes to timeseries memory backend for persistence```### Storage Backends| Backend | Use Case | Config Key ||---------|----------|------------|| In-Memory | Paper trading, fast backtest | Default || Redis TimeSeries | Production time-series storage | `monitoring.redis_url` || SQLite | Local persistent storage | `data.sqlite_path` |## Alternative Data### On-Chain (Crypto) — CONCEPT:EX-AHE.harness.ee-17- Whale alerts (large transfer detection)- Active address count- Exchange inflow/outflow- Funding rates (perpetual futures)### Sentiment- News sentiment via NLP pipeline (route to data-science-mcp)- Social media sentiment (Twitter/Reddit)- Fear & Greed Index### Research Papers- ArXiv quantitative finance papers via `scholarx-mcp`- Factor research via `research-scanner` skill## Integration Points- **Market Data MCP**: `emerald_market_data` — quotes, historical, streaming- **Crypto MCP**: `emerald_crypto` — on-chain, funding rates, arb scanning- **Bulk Ingest**: `quant-data-ingest` skill → timeseries memory- **Research**: `scholarx-mcp` → `knowledge-graph-ingest`

Frequently asked questions

Trading Data Sources