microcrypta 0.1.0

A micro package for cryptocurrency technical analysis

microta

microta is a Python package for cryptocurrency technical analysis. It provides tools for fetching market data, performing technical analysis, and backtesting trading strategies.

Installation

To install the package, run:

pip install microta

Usage

Here is an example of how to use the microta package:

# example_usage.py

from microta.coin import Coin
from microta.account import correlation_matrix, Account
from microta.coinmarket import CoinMarket
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from microta.bsh import BSH
from microta.backtest import Backtest
import microta.config as config

# Initialize coins
corr_coins = ['BTC', 'ETH','SHIB','ADA']
correlation_matrix(corr_coins,time_frame='4h')# Create a market object
market = CoinMarket(btc, usdt, "1h")

coin = Coin('REQ')
usd = Coin('BTC')
coin_usd = CoinMarket(coin,usd,time_frame = "1h")
bshs = BSH(coin_usd)

# Create an account object
account = Account(1000, 1)

# Generate buy/sell/hold signals using the moving average strategy
signal = bsh.moving_average()

# Backtest the strategy
backtest = Backtest(market, signal, "Moving Average")
position_size, coin_count, percent_gain = backtest.backtest(plot=True)

print(f"Position Size: {position_size}")
print(f"Coin Count: {coin_count}")
print(f"Percent Gain: {percent_gain:.2f}%")

Features

• Fetch market data from various cryptocurrency exchanges using ccxt.
• Perform technical analysis with indicators like Moving Averages, RSI, MACD, Bollinger Bands, etc.
• Backtest trading strategies based on technical indicators.
• Visualize data and analysis results using matplotlib.

Dependencies

• ccxt
• pandas
• numpy
• matplotlib
• mplfinance
• seaborn
• tqdm

License

This project is licensed under the MIT License.

Author

Your Name - Your Email

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

Acknowledgements

Special thanks to the developers of ccxt, pandas, numpy, matplotlib, mplfinance, seaborn, and tqdm.

Project Structure

microta/
│
├── microta/
│ ├── init.py
│ ├── config.py
│ ├── coin.py
│ ├── coinmarket.py
│ ├── account.py
│ ├── bsh.py
│ └── backtest.py
│
├── setup.py
├── README.md
└── LICENSE