Python

Overview This guide shows how to fetch stock dividend data in Python using yfinance and pandas, batch tickers efficiently, and compute simple metrics like trailing 12-month (TTM) yield. It fits algorithmic trading workflows that need......

Overview This guide shows a practical way to detect head-and-shoulders (H&S) chart patterns in Python using only NumPy and pandas. We: Extract pivot highs/lows from price series. Scan pivots for the H&S sequence (H L H L H) with......

Overview This guide shows how to use Python and PostgreSQL to store large volumes of stock/crypto market data (ticks or OHLCV) efficiently. You’ll get a schema, fast loaders, deduplication, and indexing strategies suited for research,......

Overview The Moving Average Convergence Divergence (MACD) is a momentum indicator widely used in systematic strategies. It is defined as: MACD line = EMA(fast) − EMA(slow) Signal line = EMA(signal) of MACD line Histogram = MACD line −......

Overview The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and magnitude of recent price changes on a 0–100 scale. In trading systems, it’s commonly used to identify overbought (>70) and oversold......

Overview For algorithmic trading, fetching FX rates concurrently reduces latency and keeps signals timely. This guide shows how to use Python’s async/await with aiohttp to fetch rates efficiently, batch requests, and add production-ready......

Overview Fetch live gold and silver quotes concurrently with Python’s async/await. We’ll query a public JSON endpoint that returns currency and metal rates and extract USD prices for XAU (gold) and XAG (silver). This is suitable for......

Overview This guide shows how to fetch real-time Bitcoin (BTC) prices in Python using async/await. We’ll use aiohttp for a WebSocket stream (low latency) and a REST fallback (simple polling). Examples target BTC/USDT from a public endpoint......

In today’s fast-paced trading environment, having access to real-time market data and generating actionable trading signals can significantly enhance decision-making and improve trading strategies. Python’s extensive library ecosystem......

In today’s data-driven financial world, having access to reliable historical stock data is essential for in-depth market analysis and making informed investment decisions. Python, celebrated for its versatility and powerful data analysis......