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README.md overhaul
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zananpech authored Feb 3, 2025
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[![Documentation Status](https://readthedocs.org/projects/traders-copilot-mzza-25/badge/?version=latest)](https://traders-copilot-mzza-25.readthedocs.io/en/latest/?badge=latest)
![Python Versions](https://img.shields.io/pypi/pyversions/traders-copilot-mzza-25)
![CI-CD](https://github.com/UBC-MDS/traders-copilot-mzza-25/actions/workflows/ci-cd.yml/badge.svg)
[![codecov](https://codecov.io/github/UBC-MDS/traders-copilot-mzza-25/graph/badge.svg?token=bVVFkdjNRG)](https://codecov.io/github/UBC-MDS/traders-copilot-mzza-25)
[![codecov](https://codecov.io/github/UBC-MDS/traders_copilot_mzza_25/branch/main/graph/badge.svg)](https://app.codecov.io/github/UBC-MDS/traders_copilot_mzza_25)

This package is a streamlined application designed to assist in investment decision-making. It provides trading signals for stock markets by leveraging two key technical indicators: Simple Moving Average (SMA), which smooths price data to identify trends, and Relative Strength Index (RSI), which measures the speed and magnitude of price movements to determine overbought or oversold conditions.

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``` python
from traders_copilot_mzza_25 import plot_signals

data = pd.DataFrame({"Date": ["2023-01-01", "2023-01-02", "2023-01-03"],
data = pd.DataFrame({"Date": ["2023-01-01", "2023-01-02", "2023-01-03"],
"Close": [100, 102, 104]})
fig = plot_signals(data)
fig.show()
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## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms. [`CONTRIBUTING.md`](https://github.com/UBC-MDS/traders_copilot_mzza_25/blob/main/CONTRIBUTING.md)

## License

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