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AI NIFTY 50 Stock Scanner with Python

  AI NIFTY 50 Stock Scanner with Python – Complete Beginner's Guide Build Your Own AI Stock Scanner in Google Colab Imagine opening your computer every morning and asking: Which NIFTY 50 stocks currently have the strongest technical and AI-based setup? Instead of manually checking 50 stocks one by one, Python can do much of this work automatically. The AI NIFTY 50 Stock Scanner presented in this tutorial downloads historical stock-market data, calculates technical indicators, trains machine-learning models, predicts the probability of a positive 5-day return, applies trend and volume filters, calculates entry/stop-loss/target levels, ranks stocks and finally exports the results to Excel. The complete program is designed to answer a question such as: "Which NIFTY 50 stocks currently have the strongest combination of AI probability, expected return, trend, momentum and volume?" This article explains the uploaded Python program from the ground up so that even someone with v...
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Python Trading System in Google Colab

  How to Use This Python Trading System in Google Colab – A Complete Beginner’s Guide If you have never used Python before, terms such as Python, Google Colab, stock data, indicators, signals, backtesting, and trading strategy may sound complicated. Don't worry. In this tutorial, we will learn how to use a Python trading program in Google Colab , step by step. You do not need to install Python on your computer. You do not need to be a programmer. You simply need: A Google account An internet connection A web browser Basic understanding of stocks A willingness to experiment Google Colab allows you to write and execute Python code directly in your browser, without installing Python locally. It is widely used for Python programming, data analysis, education and machine learning. What Will We Learn? By the end of this tutorial, you will understand: What Google Colab is How to open the trading program How to connect the Colab notebook How to run Python code What a Python code cell is...
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52-Week High Breakout Strategy with Python – Momentum Trading & Backtesting

  52-Week High Breakout is a momentum-based trading approach built around a simple market observation: Stocks making new yearly highs often attract additional buying interest as traders and investors recognize strengthening momentum. Instead of trying to buy stocks after a large decline, a breakout trader looks for stocks that are demonstrating price strength by moving above their previous 52-week high. In this article, we will build a simple 52-Week High Breakout strategy using Python , generate trading signals, visualize breakouts and create a basic backtesting framework. Important: A breakout is not automatically a profitable trade. False breakouts, market reversals, low liquidity and transaction costs can significantly affect results. This article is for educational and research purposes. What Is a 52-Week High? The 52-week high is the highest price reached by a stock during the previous 52 weeks. For example: Stock Current Price 52-Week High Stock A ₹980 ₹1,000 Stock B ₹75...
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