Here's a basic Python example that demonstrates how to trade crude oil using a strategy based on moving averages. This code uses historical data and does not place real trades but is structured similarly to how algorithmic traders might backtest crude oil strategies using libraries like pandas and yfinance.

Crude Oil Trading Strategy (Python Sample Code)
* Strategy: Buy when the short-term MA crosses above the long-term MA.
* Instrument: Crude Oil Futures (e.g., CL=F on Yahoo Finance)
Requirements

bash

pip install yfinance pandas matplotlib

---
Code Example

python

<div class="code_bbcode"><div class="clearfix m-b-5"><strong>Code</strong><a class="pull-right m-t-0 btn btn-sm btn-default" href="../../includes/bbcodes/code_bbcode_save.php?thread_id=176&post_id=424&code_id=0"><i class="fa fa-download"></i> Download source</a></div><pre><code class="language-php">[code]import yfinance as yf

import pandas as pd

import matplotlib.pyplot as plt

# Load historical crude oil data (CL=F is crude oil futures on Yahoo Finance)

ticker = 'CL=F'

data = yf.download(ticker, start='2022-01-01', end='2025-01-01')

# Calculate moving averages

data['SMA50'] = data['Close'].rolling(window=50).mean()

data['SMA200'] = data['Close'].rolling(window=200).mean()

# Define trading signals

data['Signal'] = 0

data.loc[data['SMA50'] > data['SMA200'], 'Signal'] = 1

data.loc[data['SMA50'] < data['SMA200'], 'Signal'] = -1

# Compute strategy returns

data['Returns'] = data['Close'].pct_change()

data['Strategy_Returns'] = data['Signal'].shift(1) * data['Returns']

# Plot

plt.figure(figsize=(14, 7))

plt.plot(data['Close'], label='Crude Oil Price', alpha=0.5)

plt.plot(data['SMA50'], label='SMA50')

plt.plot(data['SMA200'], label='SMA200')

plt.title('Crude Oil Trading Strategy (SMA Crossover)')

plt.legend()

plt.grid()

plt.show()

# Summary

cumulative_returns = (1 + data['Strategy_Returns']).cumprod()

print("Final Strategy Return: {:.2f}%".format((cumulative_returns.iloc[-1] - 1) * 100))</code></pre></div>[/code]

Notes
* You can switch CL=F to other crude oil ETFs like USO for more liquid instruments.
* This is **not a live trading bot**. For real trading, integrate with brokers like Alpaca, Interactive Brokers, or MetaTrader.
* You can expand the strategy with stop-losses, risk management, or machine learning.