Python trading algorithms, automated systems, and custom indicators for building your profitable trading programs 🐍
An analytical look at how BRICS efforts to create alternative reserve assets and payment rails could chip away at the U.S. dollar’s dominance, with key metrics for traders to watch.
Explore the influence of the U.S. dollar's role as the global reserve currency on forex market dynamics, capital flows, and trading behavior.
Explore how trade deficits influence foreign exchange rates, with practical explanations and Python code to visualize the relationship.
Explore how leverage limits vary by country, why regulations matter, and how to use OANDA’s Python API to manage leverage in forex trading responsibly.
Learn why leverage can amplify both profits and losses in trading, and how to simulate its impact using Python and the OANDA API.
Learn how to retrieve historical forex price data using the OANDA API and calculate the Relative Strength Index (RSI) using Python.
Learn what a DataFrame is in Python and how it can be used for technical analysis of forex data to help with trading decisions.
Learn what the Relative Strength Index (RSI) is, how it helps in forex day trading, and how to visualize it using Python with real-time stock or forex data.
Explore Warren Buffett's famous quote about the stock market - "In the short run, it’s a voting machine; in the long run, it’s a weighing machine." Learn what it means and how this philosophy applies to trading and investing.
Learn about daily finance charges (swap rates) in forex trading and how to retrieve them using the OANDA API. This article covers the concept of finance charges, factors affecting them, and how to track them programmatically.