
1-minute OHLCV data: how to resample minute bars into 5m, 15m, and 1h
1-minute OHLCV bars are the base timeframe. The exact rules for resampling minute bars into 5m, 15m, and 1h bars, with the alignment and gap traps to avoid.
9 posts on pandas from the SiftingIO market data blog, spanning real-time and historical coverage across stocks, forex, crypto, commodities, and on-chain venues.

1-minute OHLCV bars are the base timeframe. The exact rules for resampling minute bars into 5m, 15m, and 1h bars, with the alignment and gap traps to avoid.

Five ways historical price data silently corrupts a backtest: adjustment method, venue-dependent highs and lows, gap policy, session cuts, and restated bars.

Why backtest returns break when adjusted and unadjusted OHLCV bars get mixed, with the split and dividend factor math to fix them deterministically.

Pull SEC Form 4 insider transactions for a stock watchlist with Python: decode transaction codes, paginate the API, and build a screening table with pandas.

How to pull scheduled US economic events from one endpoint and align them with OHLCV bars so a backtest knows when CPI, NFP, and FOMC actually hit.

yfinance rate limited or throwing Too Many Requests? A call-for-call map to move daily history, intraday bars, and latest-price pulls to a keyed API in Python.

Get real-time forex prices in Python: a requests call for a snapshot, a websockets feed for live updates, the official siftingio SDK with sync and async clients, and buffering ticks into a pandas DataFrame.
How to diff 13F-HR holdings between reporting cycles using SiftingIO, find new positions, exits, and meaningful size changes.

How to pull scheduled US economic events from one endpoint and align them with OHLCV bars so a backtest knows when CPI, NFP, and FOMC actually hit.