
Candlestick Chart in Python with Plotly and OHLCV Data
Build a Python candlestick chart with Plotly and Bitcoin OHLCV data. Add volume, handle UTC timestamps, and save an interactive HTML chart with SiftingIO.
Engineering deep-dives, market analysis, and product updates from the SiftingIO team. How we build real-time market data infrastructure across crypto, FX, and equities.

Build a Python candlestick chart with Plotly and Bitcoin OHLCV data. Add volume, handle UTC timestamps, and save an interactive HTML chart with SiftingIO.

Calculate the gold-silver ratio with Python and commodity price data. Match timestamps, preserve missing bars and avoid misleading ratio candles.

Build a forex watchlist from one SiftingIO JSON snapshot. Use Node.js to request multiple pairs, preserve missing rows and label timestamps correctly.

Compare forex, gold, stocks and crypto on one chart. Rebase prices to 100 in Python with a shared baseline, tested pandas code and clear handling of gaps.

Cache market data API responses with a tested Node.js example. Learn TTL, request coalescing, safe cache keys and why cache age is not price age.

Build a JavaScript currency converter with direct and inverse FX rates, exact decimal rounding and Intl.NumberFormat. Includes code, examples and tests.

Detect same-candle stop-loss and take-profit ambiguity in Python, compare fill assumptions, and see when finer OHLCV data can resolve the sequence.

Download historical forex data as CSV or Excel. Start with EURUSD, check UTC timestamps and candle completeness, then calculate price changes in a worksheet.

Monitor tick age, silent feeds and failed market-status polls with a small Python metrics adapter, Prometheus alerts and a credential-free demo.