Monte-Carlo Backtesting for Algorithmic Trading Strategies

Mastering Monte Carlo Backtesting for Profitable Trading: A Step-by-Step Guide to Strategy Optimization
4.54 (14 reviews)
Udemy
platform
English
language
Financial Modeling & Ana
category
instructor
Monte-Carlo Backtesting for Algorithmic Trading Strategies
150
students
5 hours
content
Mar 2025
last update
$59.99
regular price

What you will learn

Apply Monte Carlo simulations to model and forecast financial market behaviors, understanding the impact of randomness and probability on trading outcomes.

Analyze and backtest trading strategies using Monte Carlo techniques to assess performance under varying market conditions and reduce the risk of overfitting.

Evaluate portfolio risk and optimize asset allocations by simulating multiple market scenarios, providing insights into potential returns and volatility.

Implement Monte Carlo methods for risk management in trading, learning to calculate Value at Risk (VaR), simulate drawdowns, and enhance strategy robustness in

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Monte-Carlo Backtesting for Algorithmic Trading Strategies – Screenshot 4
Screenshot 4Monte-Carlo Backtesting for Algorithmic Trading Strategies

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6254531
udemy ID
25/10/2024
course created date
23/01/2025
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