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Understanding Zerodha’s place_order() Method in Python
Zerodha’s Kite Connect API stands out as one of the most powerful tools available to Indian traders.It allows developers to place, modify, and monitor trades programmatically using simple Python code. At the heart of this functionality lies a crucial method — place_order().This method acts as the execution engine that places your buy or sell orders directly on the Zerodha trading platform. In this blog, we’ll break down the purpose, parameters, and practical examples of the place_order() function so that you can start placing trades like a pro. Purpose of place_order() The place_order() method is used to place a new order (either BUY or SELL) in your Zerodha account via the…
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How to Calculate Pivot Points in Python
Pivot point is a leading indicator used to assess directional movement of an asset and potential support and resistance level . How to calculate pivot points. then we calculate supports and resistance levels. How to trade using pivot points 1. Range trading strategy 2.Breakout strategy 3. How to Implement pivot point using python Explanation of above code Returns all calculated levels as a tuple. Output looks like:(Pivot, R1, R2, R3, S1, S2, S3)
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Automating Zerodha Login with Python, Selenium, and TOTP.
This Python script automates the login process to Zerodha’s Kite Connect API using Selenium and TOTP-based two-factor authentication. It begins by setting the working directory and reading API credentials from a file, then initializes the Kite Connect session and opens the Zerodha login page in a Chrome browser. Using Selenium, it inputs the user ID and password, generates a time-based OTP using a secret key, and submits the login form. After successfully logging in and being redirected, the script extracts the request token from the URL, uses it along with the API secret to generate an access token, and saves this token to a file for future API interactions. Explanation…
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Step-by-Step Guide to Generate Access Token in Zerodha Kite API
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. 1. API Key & API Secret 2. Request Token 3. Access Token (most important for Algo Trading) Explanation:
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How to Create Simple SMA Strategies in Python?
A Simple Moving Average (SMA) strategy is one of the easiest and most popular techniques used in technical analysis for trading. It helps identify trends by smoothing out price fluctuations over a specific period. What Is Pandas? Pandas is an open-source Python library that provides high-performance, easy-to-use data structures and data analysis tools. It’s built on top of NumPy, and it’s especially useful for: What Is NumPy? NumPy is an open-source Python library that provides: 1. Steps to Create an SMA Strategy Using Python: 2. Reading the CSV File 3. Displaying the DataFrame This line just displays the contents of the DataFrame df. In a Jupyter Notebook or interactive environment,…
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How to Create SMA(Simple Moving Average) Crossover Strategy
The Simple Moving Average (SMA) strategy is a popular technical analysis tool used by traders to identify trends and potential buy or sell signals in the stock markets. It calculates the average closing price of an asset over a specific number of periods, smoothing out price fluctuations and helping traders understand the overall direction of the market. In the SMA strategy, traders often use two different SMA lines — a short-term (like 20-day) and a long-term (like 50-day or 200-day) average. A buy signal is generated when the short-term SMA crosses above the long-term SMA , and a sell signal is generated when it crosses below . Example : write…
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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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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.…