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What is Simple Moving Average(SMA)?
The Simple Moving Average (SMA) is a widely used technical indicator in financial analysis and trading. It calculates the average price of an asset over a specific time period—like 50, or 200 days—by summing up the closing prices and dividing by the number of days. This helps smooth out short-term fluctuations and highlights longer-term trends. SMA (Simple Moving Average) is a commonly used technical indicator in stock and forex trading that helps smooth out price data by calculating the average closing price over a specific number of time periods. Formula: SMA = (P1 + P2 + ... + Pn) / n Where: Example: 1.What is SMA Crossover Strategy? The SMA…
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Weekly Stock Analysis | Stock Trends & Forecast
Stay updated with weekly insights on Indian stock including technical analysis, fundamentals, support/resistance levels, volume trends, and market sentiment. Perfect for traders and investors. 1. Adani Ports Weekly Analysis | Stock Trends & Insights Business Model: Adani Ports India’s largest private port operator . Adani Ports builds and runs big sea ports where ships come in to load and unload goods.They handle different types of cargo: Whenever a ship uses their port, Adani charges a fee – this is one major way they earn revenue. They also help companies move their goods from the port to factories or cities by: This makes their business end-to-end, from sea to destination. Fundamental…
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How to Analyze Financial Data with Python
What is yahoo finance?. Yahoo Finance data is through the yfinance library — a powerful, unofficial API wrapper that makes it easy to fetch financial data for analysis, modeling, or trading strategies. yfinance is a Python package that allows you to: 1. Install yahoo finance library Example: loading financial data from yahoo finance What is pandas Pandas is a powerful open-source Python library used for data manipulation and analysis. It’s built on top of NumPy and is especially well-suited for working with structured data like time series, tabular data (think Excel spreadsheets), and financial datasets — which makes it a favorite in the world of algorithmic trading. How Pandas Helps…
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How to Calculate Simple Buy And Hold Strategy in Python
This Python script loads historical stock or index data (like the Nifty index) from a CSV file, processes it to calculate daily logarithmic returns, and visualizes both the raw prices and derived returns using plots and histograms. It then computes cumulative returns to simulate the performance of a long-term investment. Through the use of pandas, numpy, and matplotlib, it offers both numerical insights and clear visualizations to help analyze the asset’s behavior over time. 1.Importing Libraries 2. Reading the Data 3. Plotting the Data 4. Calculating Logarithmic Returns 5. Cleaning Data 6. Visualizing Returns 7. Cumulative Return Calculations 8. Adding and Plotting Cumulative Returns Example: full program to calculate stock…