Arithmax Chest

Normalized market data. One API. Every provider.
Equities · Crypto · Futures · Macro

Arithmax Chest gives you a single, normalized interface to fetch OHLCV market data across multiple asset classes — without worrying about which provider powers each symbol. Just ask for the data and the backend handles the routing.

from achest import MarketDataClient

with MarketDataClient() as client:
    data = client.get(["AAPL", "BTCUSDT", "ES.FUT"],
                      "2025-01-01", "2025-01-31")

print(data.head())

Features

• Multi-asset — Equities, crypto, futures, ETFs, indices, forex, economic indicators
• Multi-resolution — Tick, second, minute, hour, daily, weekly, monthly
• Auto-routing — The backend selects the best provider for each symbol automatically
• Provider-agnostic client — Your code never touches provider-specific SDKs or API keys
• Time-saving — No more juggling Binance, Yahoo, Polygon, Alpaca, FRED, etc.

Installation

pip install arithmaxchest

For optional provider support:

pip install arithmaxchest[all]        # includes yfinance, databento, uvicorn
pip install arithmaxchest[yahoo]      # yfinance support only
pip install arithmaxchest[futures]     # databento support only
pip install arithmaxchest[server]      # uvicorn for self-hosting

Quick Start

Using the hosted API (no server setup required)

from achest import MarketDataClient

with MarketDataClient() as client:
    # Equities via Yahoo
    aapl = client.get(["AAPL"], "2025-01-01", "2025-01-31")
    print(aapl.head())

    # Crypto via Binance
    btc = client.get(["BTCUSDT"], "2025-01-01", "2025-01-31")
    print(btc.head())

    # Futures via Databento or Polygon
    es = client.get(["ES.FUT"], "2025-01-01", "2025-01-31")
    print(es.head())

With authentication (self-managed token)

from achest import MarketDataClient

with MarketDataClient(token="your-api-token") as client:
    data = client.get(["AAPL"], "2025-01-01", "2025-01-31")

Download to file

client.download(["SPY", "QQQ"], "2025-01-01", "2025-01-31",
                output="market-data.parquet")

Data Shape

All responses return normalized OHLCV data:

You only provide:

• Symbol(s) — e.g., AAPL, BTCUSDT, ES.FUT, ^GSPC, GDP
• Date range — start and end dates
• Resolution — daily, hour, minute, tick, etc.

Supported Providers

Self-Hosting

Arithmax Chest is also a FastAPI server you can deploy yourself:

pip install arithmaxchest[server]
uvicorn achest.server:app --host 0.0.0.0 --port 8000

Docker support included — see the documentation for EC2 deployment details.

Why Arithmax Chest?

• Normalized schema — Every symbol returns the same columns regardless of provider
• Provider abstraction — The backend picks the best source; your code never changes
• Research-ready — Clean DataFrames with no provider-specific wrangling
• Portable — Works in notebooks, scripts, pipelines, and production systems

License

MIT

Built by Arithmax. Market data for the next generation of analysts and algorithms.