Algorithmic Option Price Prediction In Indian Market.
Algorithmic Option Price Prediction In Indian Market.
Published 9/2025
Duration: 1h | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 546.57 MB
Genre: eLearning | Language: English
Published 9/2025
Duration: 1h | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 546.57 MB
Genre: eLearning | Language: English
Learn to Predict Bank Nifty, Nifty & Sensex Option Prices Using Python, Excel & Machine Learning.
What you'll learn
- Learn the basics of Python and machine learning, and how to run Python programs easily using Google Colab.
- Learn the basics of options trading and how the Black-Scholes model helps in calculating option prices.
- Use ready-made Python programs in Google Colab to predict the next day’s prices of Bank Nifty, Nifty, and Sensex.
- Use an Excel sheet to apply the Black-Scholes model and calculate option prices based on market data.
Requirements
- No prior coding experience is required, this course is beginner-friendly and designed for non-programmers.
- A basic understanding of financial markets or interest in stock indices like Bank Nifty, Nifty, and Sensex is helpful but not mandatory.
- Learners should have access to a computer with internet connection to use Google Colab and Excel.
Description
Unlock the power of algorithmic prediction to forecast option prices in the Indian stock market.(BANK NIFTY, NIFTY AND SENSEX)
This beginner-friendly course guides you through the fundamentals of option pricing using Python and Excel, with a special focus on Bank Nifty, Nifty, and Sensex. Whether you're a trader, analyst, or curious learner, you'll discover how to apply the Black-Scholes model, build predictive algorithms, and use real market data to make informed decisions.
What You'll Learn:
Understand the basics of Python and how it's used in financial modeling.
Learn how machine learning helps forecast market movements.
Explore linear regression and its role in price prediction.
Use Google Colab to run Python programs without installing anything.
Get introduced to option trading in the Indian stock market.
Learn how the Black-Scholes model works and why it's important.
See how the Black-Scholes formula is applied to real option pricing.
Use ready-made Python code to predict next-day prices for Bank Nifty, Nifty, and Sensex.
Import predicted prices into Excel and calculate option premiums using the Black-Scholes model.
Build a complete workflow from market data to option price prediction—step by step.
This course includes a ready-to-use Python program (.ipynb file) and a fully formatted Black-Scholes Excel model, both designed for real-time option price prediction using Bank Nifty, Nifty, and Sensex data.
Who This Course Is For:
Traders looking to enhance their strategy with predictive tools
Students and professionals curious about algorithmic trading
Anyone interested in Indian financial markets
No prior coding experience required, just curiosity and a willingness to learn. By the end of the course, you'll be equipped with practical tools and insights to forecast option prices confidently and systematically.
Who this course is for:
- Retail traders and investors who want to explore data-driven strategies without needing a tech background.
- Finance professionals and analysts looking to add Python-based prediction tools to their workflow.
- Students and educators interested in financial modeling and algorithmic thinking.
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