Metadata-Version: 2.1
Name: harvest-python
Version: 0.3.0
Summary: Simple and intuitive python framework for algorithmic trading.
Home-page: https://github.com/tfukaza/harvest/
Author: Harvest Team
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Provides-Extra: AlpacaMarket
Provides-Extra: Robinhood
Provides-Extra: Webull
Provides-Extra: Dev
License-File: LICENSE

![Header](docs/banner.png)<br />
Harvest is a simple yet flexible Python framework for algorithmic trading. Paper trade and live trade stocks, cryptos, and options![^1][^2] Visit Harvest's [**website**](https://tfukaza.github.io/harvest-website/) for details, tutorials, and documentation. 

<br />


[![codecov](https://codecov.io/gh/tfukaza/harvest/branch/main/graph/badge.svg?token=NQMXTBK2UO)](https://codecov.io/gh/tfukaza/harvest)
![run tests](https://github.com/tfukaza/harvest/actions/workflows/run-tests.yml/badge.svg)
[![Code style: Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
---

**⚠️WARNING⚠️**
Harvest is currently at **v0.3**. The program is unstable and contains many bugs. Use with caution, and contributions are greatly appreciated. 
- 🪲 [File a bug report](https://github.com/tfukaza/harvest/issues/new?assignees=&labels=bug&template=bug_report.md&title=%5B%F0%9F%AA%B0BUG%5D)
- 💡 [Submit a feature suggestion](https://github.com/tfukaza/harvest/issues/new?assignees=&labels=enhancement%2C+question&template=feature-request.md&title=%5B%F0%9F%92%A1Feature+Request%5D)
- 📝 [Request documentation](https://github.com/tfukaza/harvest/issues/new?assignees=&labels=documentation&template=documentation.md&title=%5B%F0%9F%93%9DDocumentation%5D)

# See for yourself!
Below is a minimal example of a crossover strategy for `TWTR` implemented with Harvest, paper trading.
```python
from harvest.algo import *
from harvest.trader import *

class Watch(BaseAlgo):
    def config(self):
        self.watchlist = ["TWTR"]
        self.interval = "5MIN"

    def main(self):
        sma_long = self.sma(period=50)
        sma_short = self.sma(period=20)
        if self.crossover(sma_long, sma_short):
            self.buy()
        elif self.crossover(sma_short, sma_long):
            self.sell()

if __name__ == "__main__":
    trader = PaperTrader()
    trader.set_algo(Watch())
    trader.start()
```
With Harvest, the process of testing, simulating, and deploying your strategies is a piece of cake 🍰

# Installation
The only requirement is to have **Python 3.9 or newer**.

Once you're ready, install via pip:
```bash
pip install harvest-python
```

Next, install the dependencies necessary for the brokerage of your choice:
```bash
pip install harvest-python[BROKER]
```
Replace `BROKER` with a brokerage/data source of your choice:
- Robinhood
- Alpaca 
- Webull
- Kraken
- Polygon 
- Yahoo

Now you're all set!

# Contributing
Contributions are greatly appreciated. Check out the [CONTRIBUTING](CONTRIBUTING.md) document for details, and [ABOUT](ABOUT.md) for the long-term goals of this project. 

Currently looking for...
- Python devs to code the framework
- Backend devs for the Flask backend
- Frontend devs to make the web GUI based on Svelte
- UX/UI designers for the web GUI

# Disclaimer
- Harvest is not officially associated with Robinhood, Alpaca, Webull, Kraken, Polygon, or Yahoo. 
- Many of the brokers were also not designed to be used for algo-trading. Excessive access to their API can result in your account getting locked. 
- Tutorials and documentation solely exist to provide technical references of the code. They are not recommendations of any specific securities or strategies. 
- Use Harvest at your own responsibility. Developers of Harvest take no responsibility for any financial losses you incur by using Harvest. By using Harvest, you certify you understand that Harvest is a software in early development and may contain bugs and unexpected behaviors.

[^1]: What assets you can trade depends on the broker you are using. 
[^2]: Backtesting is also available, but it is not supported for options. 


