#backtesting
Live, measured metrics for the hashtag #backtesting from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #backtesting
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-09-28 15:22 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-09-28 15:22 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-28 15:22 UTCEverything below is measured over the latest 32 public posts (spanning ~33519 hours).
Posting hours (UTC) — busiest: 16:00
Languages: English (28) · Russian (3) · German (1)
Avg boosts / post: 0.3
Top of the latest posts
#python #programming #technology #automation #stock #palantir #backtesting #risk #volatility #machinelearning #ai #datascience A Polynomial Regression–Based Trend-Following Strategy vs Market: Backtesting and Out-of-Sample Results 💰 📈 🧠
#Backtesting anybody? https://www.youtube.com/playlist?list=PLnSVMZC68_e48lA4aRYL1yHYZ9nEq9AiH #stocks #trading #aktien #investieren
Part 2: same SuperTrend entries on gold H4, new exits and sizing. Then one test (shifting the H4 candle open) broke the first version, and how I rebuilt it.#python #backtesting #trading #algorithms #software #coding #development #engineerin
What “backtesting” means
WikipediaBacktesting is a term used in modeling to refer to testing a predictive model on historical data. Backtesting is a type of retrodiction, and a special type of cross-validation applied to previous time period(s). In quantitative finance, backtesting is an important step before deploying algorithmic strategies in live markets.
“Backtesting” on Wikipedia (CC BY-SA) →#backtesting across platforms
every network with a public tag surfaceFollow #backtesting straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/backtesting