edgeful

how to upload a TradingView backtest to the algo analyzer, read the analysis, run Monte Carlo simulations, and validate your strategy against prop firm rules — including how to interpret…

algo analyzer

a plain-english primer on the algo optimizer's holdout validation — what in-sample and out-of-sample mean, what training % does, how to read the OOS deltas, and how to avoid the…

understanding holdout, in-sample, and out-of-sample in the algo optimizer

the real reasons backtest, optimizer, and live numbers differ — data sources, lookback, session alignment, and costs — plus how to reproduce them.

why your backtest, optimizer, and live results don't match

Included with the all access plan only. Find the best-performing version of any edgeful algo by testing thousands — or millions — of setting combinations against historical data, then validate…

algo optimizer

the full post-settings-change workflow — validate the new settings, apply them to your TradingView indicator, recreate the alert, SIM-test the webhook, and go live. covers optimizer-driven changes and manual tweaks.

applying algo settings changes — what to do after you optimize and make algo setting changes

How to run a backtest on edgeful's algo indicators using TradingView's strategy report (formerly the strategy tester) — setup, key metrics, contract types, why results change over time, and how…

using TradingView's strategy report with edgeful algos

Brad

everything you need to know about configuring and optimizing the algos

algo optimization

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