Python trading algorithms, automated systems, and custom indicators for building your profitable trading programs 🐍
Learn why a smaller pip movement doesn't always result in a smaller loss in forex trading. This article includes practical OANDA API examples to help clarify how position size influences your PnL.
Learn how to retrieve your real-time unrealized profit and loss (PnL) from open forex positions with OANDA’s API and convert that into pips, the unit of measurement in forex trading.
Learn how to use OANDA’s `OpenPositions` endpoint with `oandapyV20` to fetch real-time open trading positions for your forex account.
Understand the financial mechanics behind trade deficits and why they cause countries to invest in foreign assets, including government bonds, real estate, and businesses.
Learn how to use OANDA’s `TransactionList` and `TransactionIDRange` endpoints with `oandapyV20` to fetch transaction history—perfect for backtesting, journaling, or analyzing trading performance.
A practical comparison of the two main Python libraries for accessing OANDA’s v20 forex trading API - `v20` and `oandapyV20`. Learn the differences in usage, performance, and community support.
Learn how Anaconda helps manage Python environments and packages, and follow a step-by-step guide to setting up a Forex trading bot using OANDA's API.
Learn how to earn rollover income through carry trades in forex trading. Understand how interest differentials work and how brokers like OANDA handle daily financing.
Learn how traders use global news to determine which forex instrument to invest in, with a historical example and Python/OANDA API integration.
Learn how to calculate your profits and losses in Forex trading with simple examples and Python snippets using the OANDA API.