Initial commit - Crypto Portfolio Tracker

Author: ajay-techspace

LICENSE

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+MIT License
+
+Copyright (c) 2025 ajay-techspace
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# Crypto Portfolio Tracker
+
+A simple Python project to track your cryptocurrency portfolio, calculate returns, and visualize your holdings.
+
+## Features
+
+- Calculates profit/loss for each coin
+- Fetches live prices (or use manual prices)
+- Visualizes portfolio distribution with charts
+
+## Setup
+
+1. Clone the repo:
+   ```
+   git clone https://github.com/ajay-techspace/crypto_portfolio_tracker.git
+   cd crypto-portfolio-tracker
+   ```
+
+2. Install dependencies:
+   ```
+   pip install -r requirements.txt
+   ```
+
+3. Add your portfolio to `portfolio.csv` (see sample below).
+
+## Usage
+
+Run the main script:
+```
+python main.py
+```
+
+## Sample `portfolio.csv`
+
+| coin     | quantity | buy_price |
+|----------|----------|-----------|
+| bitcoin  | 0.5      | 20000     |
+| ethereum | 2        | 1500      |
+
+## Requirements
+
+- pandas
+- requests
+- matplotlib
+
+## License
+
+This project is licensed under the [MIT License](./LICENSE).

__pycache__/calculate_returns.cpython-313.pyc

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+import pandas as pd
+from fetch_prices import fetch_price
+
+def calculate_returns(df):
+    if 'current_price' not in df.columns or df['current_price'].isnull().any():
+        df['current_price'] = df['coin'].apply(fetch_price)
+    df['cost'] = df['quantity'] * df['buy_price']
+    df['value'] = df['quantity'] * df['current_price']
+    df['profit_loss'] = df['value'] - df['cost']
+    return df

__pycache__/fetch_prices.cpython-313.pyc

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+import requests
+
+def fetch_price(coin_id):
+    url = f"https://api.coingecko.com/api/v3/simple/price?ids={coin_id}&vs_currencies=usd"
+    try:
+        response = requests.get(url)
+        data = response.json()
+        return data[coin_id]['usd']
+    except Exception as e:
+        print(f"Error fetching price for {coin_id}: {e}")
+        return None

__pycache__/visualize.cpython-313.pyc

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+import pandas as pd
+from calculate_returns import calculate_returns
+from visualize import plot_portfolio
+
+def main():
+    df = pd.read_csv("portfolio.csv")
+
+    # 🔧 Use manual prices (no API)
+    manual_prices = {
+        'bitcoin': 26000,
+        'ethereum': 1800
+    }
+    df['current_price'] = df['coin'].map(manual_prices)
+
+    # ✅ Calculate results
+    df = calculate_returns(df)
+    print(df)
+
+    print("\n--- Portfolio Summary ---")
+    print(df[['coin', 'quantity', 'buy_price', 'current_price', 'cost', 'value', 'profit_loss']])
+
+    plot_portfolio(df)
+
+if __name__ == "__main__":
+    main()

calculate_returns.py

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+coin,quantity,buy_price
+bitcoin,0.5,25000
+ethereum,1.0,1800

fetch_prices.py

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+requests
+pandas
+matplotlib