Modeling stock prices in Python | Wiener & Ito process
💻 Want to learn how to model stock prices with Python? Whether you're a developer or a finance enthusiast, this Python program will help you better understand stock market dynamics and improve your financial analysis skills.
💻 In this video, we'll see how to use Python to simulate price trajectories inspired by mathematical models used in finance, specifically the Wiener process and Ito's lemma.
The goal isn't to "predict" the markets, but to understand how these stochastic models work and how to implement them step by step in Python.
🎯 On the agenda:
• Intuitive review of Brownian motion and the Wiener process
• Implementation in Python (NumPy, Matplotlib) to generate random trajectories
• Introduction to the Ito framework applied to a simulated price
• Visualization of trajectories and interpretation of results
• Suggestions for further exploration in stochastic modeling
📌 Educational objective:
This video is intended for those who wish to better understand the mathematical modeling of financial prices through code. It is purely educational content, focused on probability, random processes, and Python programming.
⚠️ Important warning:
The models presented in this video are theoretical simplifications that do not reflect the actual complexity of financial markets.
This video does not constitute:
• investment advice,
• a buy or sell recommendation,
• nor a method for achieving financial performance.
Any practical application in real markets requires further research, a thorough understanding of the risks, and must be tailored to each individual's personal, financial, and tax situation.
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▬▬▬▬▬▬ TAGS 🔖 ▬▬▬▬▬▬
#finance #python #trading
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🔹 Thumbnail created with Canva
🔹 Stock charts: TradingView and ProRealTime
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You are solely responsible for your investment decisions. The channel is not liable for any outcomes.
Financial markets are volatile, including stocks, Forex, CFDs, and especially cryptocurrencies.
Maintain a critical perspective and do not take the content of the videos, descriptions, or comments at face value.
▬▬▬▬▬▬ 🔑 Keywords 🔑 ▬▬▬▬▬▬ wiener process / wiener in python / random walk / modeling stock prices / python code / developing in python / python and trading / trading with python / trading with python / using python to trade / python trading algorithm / python trading algorithm / trading algorithm / python in the stock market / vscode / git / github / google colab