Practical examples for using PyneCore programmatically — embedding indicators and strategies into your own Python applications.
Each example is a self-contained project. Just cd into a directory and run it.
| # | Directory | Description |
|---|---|---|
| 01 | 01-standalone/ |
Run a script on a CSV file — zero code, one command |
| 02 | 02-programmatic/ |
ScriptRunner API — read outputs, override inputs |
| 03 | 03-custom-data/ |
Feed OHLCV from any source (API, DB, DataFrame) |
| 04 | 04-live-ccxt/ |
Live exchange data with CCXT (no API key needed) |
| 05 | 05-freqtrade-indicators/ |
FreqTrade + PyneCore indicators as data sources |
| 06 | 06-freqtrade-strategy/ |
FreqTrade + PyneCore strategy signals |
The fastest way to try PyneCore — no install, no setup:
cd 01-standalone
uv run bollinger_bands.py data/EURUSD_1h.csvThis fetches PyneCore automatically, runs Bollinger Bands on the sample data, and writes the results to a CSV file.
Don't have
uv? Install it withcurl -LsSf https://astral.sh/uv/install.sh | shor see uv docs. Alternatively, install PyneCore with pip and run with Python directly — see each example's README for details.
PyneCore scripts are Python files with a @pyne marker. They use the same API as
Pine Script on TradingView — ta.rsi(),
ta.sma(), strategy.entry(), etc. — but run locally on your machine.
You can:
- Compile Pine Script to PyneCore using PyneComp
- Write scripts by hand — see PyneCore docs
CC0 1.0 Universal — copy, modify, and use in any project without attribution.