Python
Python Tutorial for Traders
Want to build a powerful AI-powered financial assistant that fetches the latest news, analyzes sentiment, and provides stock information—all through a...
When building stock market applications, real-time communication is non-negotiable. Whether you’re streaming live price updates, processing user trades, or delivering market...
In algorithmic trading, writing efficient and flexible Python functions is crucial. As traders, we often need to handle multiple data points,...
In trading, every millisecond counts. Recently, we identified a significant performance bottleneck in our OpenAlgo Platform: API calls to openalgo supported...
For traders dealing with large datasets, the ability to efficiently analyze and manipulate data is crucial. DuckDB is an in-memory, columnar...
In quantitative finance and algorithmic trading, look-ahead bias is one of the most common pitfalls that can cause a trading strategy...
Fyers has always pushed the envelope in delivering cutting-edge market data, and their new Tick-by-Tick (TBT) feed is no exception. In...
If you’re a developer building tools for traders—or dabbling in algo trading yourself—you know speed is king. A half-second delay can...
An agent is a computer program that acts on its own to perform tasks, make decisions, or solve problems—often on behalf...
Intraday data is a treasure trove for traders, analysts, and researchers. This blog will guide you through creating a Python script...
Algorithmic trading requires a realistic and robust simulation environment. This note describes how we are planning to build an opensource -...
Efficiently retrieving broker data is critical for traders, especially when working with large datasets or multiple stock symbols. OpenAlgo, simplifies this...