# QuantJourney SDK
Lightweight Python SDK for calling the QuantJourney API server.
Features
- Login/refresh helpers (JWT)
- Lazy connector proxies (eod/fmp/sec/openfigi/fred/imf/cboe/ccxt/...)
- High-level helpers for Backtester/Analytics/Admin/Universe
- DataFrame helpers to reconstruct server payloads
Quick Start
```python
from quantjourney.sdk import QuantJourney
qj = QuantJourney(api_url="http://localhost:8001", tenant_id="jakub")
qj.auth.login(tenant_id="jakub", user_id="alice", password="secret")
prices = qj.eod.get_historical_prices(symbols=["AAPL"], start_date="2024-01-01", end_date="2024-02-01", frequency="1d", exchanges=["US"]) # dict
# Backtester helper returning DataFrames
prices_df, metrics_df, params_df, nav_s, meta = qj.bt.prepare_frames(
provider={"source":"fmp","granularity":"1d"},
trading_range={"start":"2024-01-01","end":"2024-02-01"},
instruments=["AAPL"],
persist=True,
)
```
Auth via ENV
```bash
export QJ_API=http://localhost:8001
export QJ_TENANT_ID=jakub
export QJ_USER_ID=alice
export QJ_PASSWORD=secret
```
```python
from quantjourney.sdk import QuantJourney
qj = QuantJourney.from_env()
print(qj.admin.routers())
```
Build & Publish
```bash
poetry install
poetry build
# twine upload dist/*
```
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"description": "# QuantJourney SDK\n\nLightweight Python SDK for calling the QuantJourney API server.\n\nFeatures\n- Login/refresh helpers (JWT)\n- Lazy connector proxies (eod/fmp/sec/openfigi/fred/imf/cboe/ccxt/...)\n- High-level helpers for Backtester/Analytics/Admin/Universe\n- DataFrame helpers to reconstruct server payloads\n\nQuick Start\n```python\nfrom quantjourney.sdk import QuantJourney\n\nqj = QuantJourney(api_url=\"http://localhost:8001\", tenant_id=\"jakub\")\nqj.auth.login(tenant_id=\"jakub\", user_id=\"alice\", password=\"secret\")\n\nprices = qj.eod.get_historical_prices(symbols=[\"AAPL\"], start_date=\"2024-01-01\", end_date=\"2024-02-01\", frequency=\"1d\", exchanges=[\"US\"]) # dict\n\n# Backtester helper returning DataFrames\nprices_df, metrics_df, params_df, nav_s, meta = qj.bt.prepare_frames(\n provider={\"source\":\"fmp\",\"granularity\":\"1d\"},\n trading_range={\"start\":\"2024-01-01\",\"end\":\"2024-02-01\"},\n instruments=[\"AAPL\"],\n persist=True,\n)\n```\n\nAuth via ENV\n```bash\nexport QJ_API=http://localhost:8001\nexport QJ_TENANT_ID=jakub\nexport QJ_USER_ID=alice\nexport QJ_PASSWORD=secret\n```\n```python\nfrom quantjourney.sdk import QuantJourney\nqj = QuantJourney.from_env()\nprint(qj.admin.routers())\n```\n\nBuild & Publish\n```bash\npoetry install\npoetry build\n# twine upload dist/*\n```\n\n",
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