the short answer
no — edgeful algos don't come with a single verified, published track record, and that's on purpose. there's no one "the edgeful ORB algo returns X% a year" number, because the algos aren't a fixed black-box signal. they're strategy templates you configure — so the performance depends on your settings, not ours.
what you get instead is the ability to test any configuration yourself, on real historical data, before you risk a dollar. that's a stronger answer than a marketing number — here's why.
why there's no single performance number
edgeful's 4 algos — ORB, IB, gap fill, and engulfing — are fully customizable. before an algo places a single trade, you set:
the ticker you trade it on (NQ behaves nothing like CL)
the session and trading hours
your take-profit, stop-loss, and position size
which weekdays it runs, plus other risk filters
change any one of those and you've got a different strategy with a different result. so a single "verified return" would be meaningless at best and misleading at worst — it'd only describe one specific configuration, on one instrument, over one window. we're not going to hand you a cherry-picked number and call it the algo's track record.
what edgeful algos actually are
think of each algo as a strategy template, not a signal service. it automates a specific, data-backed setup — an opening range breakout, an initial balance retracement, a gap fill, an engulfing reversal — and you tune it to your risk and your market.
the edge those setups are built on comes from edgeful's reports — the same historical data showing how often each pattern has played out over the last 6 months and beyond. the algo just lets you trade that setup automatically instead of by hand. for what each one does, see algos — overview.
how to validate performance yourself
instead of trusting someone else's track record, you generate your own — on your settings, your ticker, your risk. two tools do this:
TradingView's strategy report — apply the algo to your chart and backtest it over years of historical data. you see net P&L, win rate, profit factor, and drawdown for your exact configuration. see using TradingView's strategy report with edgeful algos.
the edgeful algo analyzer — upload that backtest and get a strategic-health check, Monte Carlo simulations (the range of outcomes, not just the one that happened), and a prop-firm pass-rate projection. see algo analyzer.
this is the honest version of "verified performance": numbers you produced and can reproduce, on the exact strategy you'd actually trade — not a headline from a vendor.
what a backtest can and can't promise
a strong backtest is a green light to keep testing — not a promise. a few things to stay honest about:
past results don't guarantee future ones. a setup that worked over the last year can still struggle in a new market regime.
live won't match the backtest exactly — fills, slippage, and timing all move the number. why your backtest, optimizer, and live results don't match covers the gap.
one short backtest isn't enough. look for results that hold across 3-month, 6-month, and 1-year windows, with at least 30-50 trades, before you trust them.
and the part most vendors skip: getting an algo to perform takes customization, testing, and time. the tools hand you the raw material — turning it into something you'd trade with confidence is work you put in, and it's worth doing before you go live.