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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…
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How to Read CSV, Analyze Returns, and Plot Stock Data in Python
What is Matplotlib? Matplotlib is a powerful and widely used data visualization library in Python. It allows you to create a wide range of static, interactive, and animated plots, making it an essential tool for data analysis, data science, and machine learning. What is Pandas in Python? Pandas is a powerful and easy-to-use open-source Python library for data manipulation and analysis. It provides fast, flexible, and expressive data structures like Series and DataFrame, making it ideal for working with structured data. What is NumPy in Python? NumPy (short for Numerical Python) is a fundamental library for numerical computing in Python. It provides support for multi-dimensional arrays and high-performance mathematical operations…
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What is a Function in Python? | Python Functions Explained with Examples
A function is a block of reusable code that performs a specific task . function help to organize code , improve readability and avoid repetition . How to define Function in python you define a function using the def keyword , parentheses () can hold parameters . this makes your code cleaner and easier to manage—especially when you need to repeat the same logic in multiple places. How to call Function in python Calling a function in Python is pretty straightforward! Once you’ve defined a function using the def keyword, you just need to write its name followed by parentheses. If the function takes arguments, you pass them inside the…
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Data Structures: How They Work & Optimize Memory
A data structures enable rapid access to stored information and seamless updates without performance bottlenecks. Whether handling large datasets or optimizing algorithms, the choice of data structure plays a crucial role in reducing processing time and memory overhead. Purpose of Data Structures in Python Use Cases in Python 1 List (list) A list in Python is a mutable , ordered collection that can store element of different data types, lists are commonly used for storing and manipulating Sequence of items. 1. How to create List you can create a list using square brackets[] List can Hold different data types. 2. How to Access element from list Accessing list element using indexing , index…
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How to Use Loops in Python with Real-World Examples
Loops in Python allow you to execute a block of code multiple times, making programming more efficient and reducing redundancy. They are useful for automating repetitive tasks, processing data structures, and implementing logic-driven workflows. Types of Loops in Python 1. For Loop A for loop is used to iterate over a sequence such as a list, tuple, string, or range. It is helpful when the number of iterations is known . Example1: Example2: Example3: 2. While Loop A while loop runs as long as the specified condition remains true. It is useful when the number of iterations is not predetermined. Example1: Example2: calculate the sum of N numbers using while…
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How to Create a Developer Account on Kite Connect
What is a Kite Connect Developer App? A Kite Connect Developer App is an application you register on the Kite Connect platform to get: How to Create Kite Connect developer account Step 1: Create a Developer Account Visit the kite connect developer https://developers.kite.trade/ Click on ‘Sign Up’ to register for a new account. Step-2 Create a Kite Connect App Purpose of Kite Connect App API Key & API Secret Request Token 3. Access Token (most important for Algo Trading)
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Mastering Python Conditional Statements: If, Elif, Else Explained
Conditional statements allow a program to make decisions based on certain conditions. They help in controlling the flow of execution by running specific blocks of code only if the conditions are met. 1. if Statement Description: if statement executes a block of code only if the condition is True. Syntax: Example 1. Example 2 2. else Statement Description : if a specified condition evaluates to True, the program executes one block of code; if the condition is False, it executes an alternate block instead, allowing the program to make decisions based on different scenarios. Syntax: Example 1: Example 2: 3. if-elif-else Statement: Description: The if-elif-else structure in Python enables the…
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Mastering Python Variables and Data Types in Easy Steps
Python supports several built-in data types, and each occupies different memory space depending on the system architecture. Below is a breakdown of common data types, examples, and estimated memory usage. In Python, variables are used to store data that can be referenced and manipulated in a program. Variables are automatically created when you assign a value—no explicit declaration is needed to reserve memory. Example 1 Variable Naming Convention Example 2 Understanding variables types python is dynamically type of variable is determined at runtime Dynamic typing python allows the type of a variables to change as the program execute Example : Write a program for addition , subtraction and multiplication 2.…
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What is RSI in Trading?
The Relative Strength Index (RSI) is a momentum indicator used in technical analysis to measure the speed and change of price movements. It helps traders determine whether a stock, cryptocurrency, or forex pair is overbought or oversold, which can signal potential reversals. 1. Understanding RSI Formula RSI Calculation: RSI is calculated using the following formula: RSI=100−(1001+RS)RSI = 100 – \left( \frac{100}{1 + RS} \right) Where: Default period used is 14 days, but traders can adjust based on strategy. 2. RSI Interpretation 2.1 RSI Above 70 → Overbought Interpretation: 2.2 RSI Below 30 → Oversold Interpretation: 2.3 RSI Between 30-70 → Neutral Interpretation: 3. Deep Analysis of RSI Conditions Bullish Signals…
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What is Python?
Python is a high-level, and interpreted programming language known for its simplicity and readability. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is widely used in web development, data science, machine learning, automation, and more. Key Features of Python Common Built-in Modules in Python Python also has thousands of third-party libraries like NumPy, Pandas, TensorFlow , Matplotlib . How to setup python environment ? . First of all we have to create python environment , create an folder structure in your directory and setup in that particular folder. Syntax: conda create -p venv python==3.13 What is conda ? . Conda is an open-source package management and…
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Candlestick Pattern At Key Level
What is a Key Level A key level in trading is a significant price level where the price has historically reacted, either reversing or consolidating. These levels act as support or resistance, helping traders make informed decisions about entries, exits, and stop losses. key level are . 1. Support and Resistance 2.. Supply & Demand Zones 3. Moving Averages 4. Trendlines Best candle patterns 1. Long Wick Candle A long wick candle at a key level signals price rejection, meaning the market tried to move beyond that level but was pushed back by strong buying or selling pressure. Long Wick at Support (Bullish Reversal) A long wick candle has a…
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What is algo trading ?
Algo Trading is a method of trading in the stock market where computer programs automatically place buy and sell orders based on pre-defined rules. These rules are created using mathematical models, technical indicators, or market conditions. Two major aspects of algo trading . 1. Clear Strategy 2. Automated trading How Does Algo Trading Work? Advantages of Algo Trading Risks of Algo Trading Note:- To effectively implement algorithmic trading strategies, a foundational understanding of Python programming is essential . What is Python? Python is a high-level, interpreted, and general-purpose programming language known for its simplicity and readability. Python is widely used in web development, data science, machine learning, automation, and more.…
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Head and Shoulders Pattern
The Head and Shoulders pattern is one of the most powerful and reliable trend reversal patterns in technical analysis. It’s like a warning sign that the current trend is losing steam and about to take a sharp turn in the opposite direction. Structure: Trading Strategy: psychology behind this patter is , its shows a loss of momentum from the buyers and the start of a trend change as a lower high has already formed .this patter very string after strong uptrend . The Head and Shoulders pattern is not just a random shape—it represents a fundamental shift in market sentiment. It forms because of buyer exhaustion and a shift in…