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Risk Management Rules in Trading

  Risk Management Rules in Trading: Protect Your Capital with Python Introduction: Why Risk Management Is More Important Than Entry Signals Most traders spend hours searching for the perfect entry signal. They study RSI, MACD, moving averages, Bollinger Bands, candlestick patterns, and breakout strategies. But even a good trading strategy can lose money when risk is not controlled. Consider two traders. Trader A enters a trade without a predefined stop-loss and keeps holding a losing position in the hope of a recovery. Trader B calculates the maximum acceptable loss, determines the correct position size, and exits when the trading setup becomes invalid. Both traders may make the same initial mistake, but their final financial outcomes can be very different. The purpose of risk management is to control how much capital is exposed to potential losses, preserve the ability to trade again, and make decisions consistently. This tutorial explains ten practical risk management rules for...

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...

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...