Bollinger Bands in Python: compute them with pandas from daily OHLCV bars, verify the math by hand, then add live WebSocket prices without mixing ticks into your candle series.
https://t.co/x5NuIDvFfS
#python#marketdata
Candlestick chart in Python with Plotly: BTCUSD OHLCV bars, a volume panel, UTC timestamps, one interactive HTML file.
https://t.co/FJkCAnyo40
#python#plotly
Gold-silver ratio in Python: align XAUUSD and XAGUSD timestamps, keep missing bars as gaps, avoid misleading ratio candles.
https://t.co/s3LaDsOOf1
#python#commodities
Forex API JSON in JavaScript: a multi-pair watchlist in Node.js. Missing pairs stay visible, prices keep their own UTC time.
https://t.co/k6ilMmkAtW
#forexapi#javascript
Normalize prices to 100 in Python: EURUSD, XAUUSD, AAPL and BTCUSD on one chart with a shared baseline. Tested pandas code.
https://t.co/EpxmhTOEi2
#python#marketdata
Market data API caching in Node.js: choosing a TTL per endpoint, safe cache keys, request coalescing, and why cache age is not price age. Tested example in the post.
https://t.co/Jfa8rAK7yk
#marketdata#nodejs
Stop-loss and take-profit in the same candle: OHLC bars can't tell you which hit first. Detect it in Python, test fill rules:
https://t.co/9QCjjd01vt
#backtesting#python
Historical forex data in CSV or Excel: a practical guide. Download EURUSD OHLC bars, check UTC timestamps and candle completeness, then calculate price changes in a worksheet.
https://t.co/77PwlaUFyP
#forex#marketdata
Market data monitoring with Prometheus: a Python adapter that exports tick age per symbol, flags feeds that went silent while still connected, and checks market status before alerting. Credential-free demo.
https://t.co/EXxj0QjED9
#prometheus#marketdata
API key 401 Unauthorized vs 403: one means the server can't identify you, the other means your plan doesn't cover that market. Curl checks and a Python test that keeps keys out of logs.
https://t.co/BoUREPO9d2
#api#marketdata
Home Assistant stock price sensor in YAML: a REST sensor on /v1/last/quote/stocks/AAPL, polling only during market hours, with a freshness label and a request budget for three stocks.
https://t.co/CQ4q4GXZlM
#homeassistant#marketdata
DuckDB for market data CSV exports: five SQL recipes to check OHLCV coverage, find timestamp gaps, and compute close returns.
https://t.co/6iiPYnIVpD
#duckdb#marketdata
Google Sheets market data template: copy one watchlist for stocks, crypto, forex and commodities. Refresh from the menu.
https://t.co/pOoYyfYFkr
#googlesheets#marketdata
Move a Pipedream price alert to n8n: map the API key, the schedule and the saved state, then verify the handover with an AAPL workflow.
https://t.co/PdDspDmSeF
#n8n#marketdata
WebSocket fan-out with Redis pub/sub: one market data connection, ticks republished to every service. Python code.
https://t.co/E2Gh39iJV7
#websocket#redis
Market data API request calculator: symbols x polling interval x hours, plus backfill. Shared workers cut per-user polling by 10x. Worked examples and a Python script to size your plan.
https://t.co/SQa7ziiUy8
#marketdata#api
Parse JSON numbers as decimals or your market data drifts: 0.1 becomes a double, then a sum, then a wrong total. Tested Python, Go and JS patterns plus a precision regression test.
https://t.co/ToNMjSxmU9
#marketdata#python
I just merged @SiftingIO stock market support into Open Crypto Tracker's codebase today. They provide 10,000 monthly live data requests for their FREE Tier, with no credit card required. Premium support is builtin as well. Shipping in v6.01.10, roughly by next weekend (with some other non-related bug fixes).
https://t.co/QTJHkRoTSk