Chart Library Python SDK
Pattern intelligence for AI agents. Search 24 million historical chart patterns and see what happened next.
Install
pip install chartlibrary
Quick Start
from chartlibrary import ChartLibrary
cl = ChartLibrary(api_key="cl_your_key") # or set CHART_LIBRARY_KEY env var
# One call — full intelligence
intel = cl.intelligence("NVDA")
print(f"Top match: {intel['matches'][0]['symbol']} {intel['matches'][0]['date']}")
print(f"5-day outlook: {intel['follow_through']['horizon_returns']['5']}")
print(f"Market regime: {intel['regime']['spy_summary'][:100]}...")
# Market regime snapshot
regime = cl.regime()
for sym, data in regime["regime"].items():
print(f"{sym}: {data['avg_10d']:+.1f}% 10d outlook")
# Pattern search
results = cl.search("AAPL 2024-06-15")
for match in results["results"][:5]:
print(f" {match['symbol']} {match['date']} — {match['match_score']}%")
Endpoints
| Method | What it does |
|---|---|
cl.intelligence(symbol) |
One-call full picture (matches + regime + summary) |
cl.regime() |
Market-wide regime snapshot (SPY + QQQ + 11 sectors) |
cl.regime_detail(symbol) |
Detailed regime analysis with overlay data |
cl.search(query) |
Pattern similarity search |
cl.analyze(query) |
Search + follow-through + summary |
cl.discover() |
Daily top patterns |
cl.status() |
Database stats |
Free API Key
Get one at chartlibrary.io/developers — 200 calls/day, no credit card.
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