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Back Testing Strategy [Back End]

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  STEPS : When you're working on a backtesting framework for coding, it's smart to break down the problems into smaller parts. This makes it easier to manage and reuse your code. In Backtesting, you usually deal with three main things: price data (the information about prices), a virtual exchange (where you handle entry, exit, and updates), and finally, a metric to evaluate how well your trading logic performs. Do watch our series.

Python for Algorithmic Trading πŸ”₯(FULL COURSE)

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 πŸ” High Volume Search Answered! What is F-String in Python? πŸš€ Hey Python enthusiasts! πŸ‘‹ In this video, we dive deep into the world of F-Strings, a topic suggested by one of our amazing viewers! πŸŽ‰ I'm here to answer all your doubts and queries in this engaging video format. πŸ“š Series Overview: This tutorial is part of our comprehensive series, "Learn Python for Algorithmic Trading." Whether you're a beginner venturing into the financial markets or an industry-level expert, this series is tailor-made for you! πŸ“ˆ The best part? It's 100% FREE! πŸ”§ What You'll Learn: F-Strings Demystified: Understand the magic behind F-Strings in Python. Series Continuity: This video is part of a series, ensuring a progressive learning experience. Hands-On Application: Learn how to use Python for Algorithmic Trading, building strategies and execution platforms. API Compatibility: Discover the versatility of Python by interfacing with Zerodha, KOTAK, Angel One, Fyers, HDFC, Finv...

Error Handling using Try except block in python | Algorithmic Trading using Python

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 πŸ“š Welcome to Lecture 11 - The Grand Finale! πŸŽ‰ In this concluding episode of our "Algorithmic Trading using Python" series, we dive deep into the crucial role of classes in Python code, particularly in building a robust trading framework. This lecture serves as the culmination of our journey, focusing on a topic vital for every algorithmic trader - Error Handling. πŸ› οΈ Key Topics Covered: Manual Error Detection: Explore the process of manually detecting errors using simple message checking. Try Except Blocks: Understand the implementation of Try-Except blocks in Python for effective error handling. Multiple Except Blocks: Learn to handle various exceptions by using multiple Except blocks. Exception Class: Delve into the concept of creating and utilizing custom exception classes in Python. Standard Exceptions: Explore common errors such as Indentation Error, Index Out of Range Error, and Divisible by Zero Error. Simulation: Simulate the generation of a trading function with ...

Algo Trading Banknifty python | Bank nifty futures moving average crossover strategy

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 Timeline: 00:00 OUTPUT 00:19 INTRODUCTIONS  2:21 What are the STRATEGY Requirement? 4:30   What are the indicator used MOVING AVERGAE INDICATOR CROSSOVER? 06:18 How can we Identify Chart are for This Strategy? 08:42 Identify Charts Area for this strategy in Zerodha Charts  09:45 How History Data look like? 11:25 Python Code: Import Dependency Library 12:33 OHLC Global Variable 14:09 Python Code: Range of Strategy 16:10 Python Code: Moving Average Calculation 17:23 Python: Simulate Trades Signal 26:47 Prepare Trades Stats Report 30:12 Tune Strategy to get Higher Reward to Risk Ratio 31:25 Python code location ? Welcome to our channel! In this video, we'll dive into the world of algorithmic trading with Python, focusing on BANK NIFTY using a powerful Python algo strategy. We'll also explore how to set up the FINVASIA API using Dotnet C# and their trading platform. πŸ”— GitHub FINVASIA API code: https://github.com/Shoonya-Dev/ShoonyaApi-dotnet/tree/master/Example1 ?...

Algorithmic Trading using Python , Data type [str, int, float, bool] in python

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  πŸ”—Welcome to Lecture 02 of our " Learn Python for Algorithm Trading " course! In this free course, we're going to take you on a deep dive into Python programming, making it easy for anyone, even if you're new to coding. We'll be using Python version 3.10.xx and the PyCharm editor to run and create algorithmic trading scripts, all in the context of the Indian Stock Market. Data types(string, int, float, bool) in Python| Constant vs var | Learn Python for Algorithm trading Learn Python 100% Free | Data Types in Python | Learn Python for Algorithm trading πŸ“ˆ Our Focus: Python Programming in the Context of the Indian Stock Market. πŸ”΅ Course Outline: In this lecture, we will focus on Python data types, including strings, integers, and floats. We'll also explore the key concepts of constants versus variables in Python, which are fundamental to understanding the language. πŸŽ“ Whether you're a complete beginner or have some programming experience, this course...

Algorithm Trading using Python in Hindi

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  πŸ“ˆWelcome to our comprehensive YouTube series on learning Python for Algorithmic Trading in the Indian Stock Market! Whether you're a complete beginner or an experienced trader looking to up your game, this series is designed to take you from zero to master level Python coding for expert level trading TechnologyπŸ’Ή Design Algorithmic Trading Python | Learn python FOR ALGORITHMIC TRADING In this video, we'll cover: πŸ”Ή Getting started with Python for trading - No prior coding experience needed! πŸ”Ή Understanding the fundamentals of Algorithmic Trading and its applications in the Indian Stock Market. πŸ”Ή Mastering Python programming techniques specifically tailored for trading and data analysis. πŸ”Ή Hands-on examples, real-world case studies, and practical insights from trading experts. By the end of this course, you'll be able to create, back test, and deploy your own trading strategies in Python, and gain a deep understanding of how to make data-driven decisions in the dyn...