Institutional-grade, no-code
backtesting for prop traders

Backtest tick-by-tick on real order-book data, then use AI-guided analysis to optimize for evaluations, funded accounts, and withdrawals.

Start free See a live verdict

Tick-level data since 2017 · MBO order-book fills · First verdict in minutes

Simulate any prop firm

Topstep

Apex

My Funded Futures

Tradeify

TradeDay

Take Profit Trader

Bulenox

Elite Trader Funding

Earn2Trade

The Prop Pass Verdict

Meet the Prop Pass Verdict.

Ten thousand simulated runs under your firm's exact rules. Not just the eval: the funded phase, the payouts, the fees, and what actually lands in your wallet.

Will I pass?A pass probability from ten thousand resampled runs of your own trades. Not a feeling. A number.
What's going to stop me?The exact rule that ends your failing runs: trailing drawdown, daily loss, or consistency. Named and ranked.
What size should I trade?The contract count that maximizes your odds, found by sweeping every alternative.
Which firm fits this strategy?A firm showdown: the same trades judged under 51 real rulesets across 6 firms. Ranked, best fit named.
What would I actually make?The whole lifecycle in dollars: eval fees, resets, activations, payouts and splits. Net wallet profit, not gross hype.

Prop Pass VerdictTopstep · 50K Combine

pass probability · of decisive attempts

10,000 sims

Passed 62%Breached 27%Inconclusive 11%

Most likely failure

Trailing drawdown

Median days to pass

13 (8–21)

Recommended size

3 contracts → 2 contracts

pass rate

70% → 78%

Best fit ranked across 51 firm presets · fees and payouts included

Inconclusive means the strategy ran out of history, never counted as a pass. Resamples your trade distribution, not eval ticks.

If a pass leans on lucky trade ordering, the verdict says so. If there is not enough history to know, it says inconclusive instead of inventing a rate. And we track predicted pass rates against real outcomes, so 60% is meant to mean 60%.

Run yours free How the simulator works

Why evals fail

Evals aren't lost to bad discipline. They're lost to unknown math.

Three numbers decide almost every evaluation: your strategy's volatility, the firm's rule geometry, and your size. Most traders never measure any of them. So the outcome feels random.

You're trading the rules, not just the market.

Trailing floors that ratchet and lock. Daily loss lines. Consistency caps. Contract limits that change mid-account. Your P&L curve never met the geometry that decides your eval.

One backtest is one draw.

Your historical result is a single ordering of your trades. Resample them 10,000 times and a pass rate appears. That number, not the one lucky path, is what you are buying with the fee.

Optimistic fills flatter you.

Bar-close backtests guess which side of the bar filled first and skip the queue entirely. That gap is your margin of error. In an eval, the margin of error is the account.

Passing is a probability. You can measure it. You can raise it.

How it works

From idea to funded account. One pipeline.

Every stage feeds the next — nothing to export, nothing to stitch together.

Explore build

No-code builder

Professional strategy logic. Zero code.

Everything a coded strategy can express — indicators, price action, regimes, risk — as nodes you wire together.

Explore the builder

Wire the strategy in your head

Drag nodes, connect them, run it. No syntax, no exports, no broker SDK.

Regime Mode

Detect the market state, then run different execution logic per regime — with priority and transition rules.

38 indicators + price action

Fair-value gaps with mitigation, swing points, regression channels — logic beyond the retail norm.

Validated as you build

Wiring errors are flagged before you spend a single credit on a run.

Built to optimize

Every parameter you expose auto-populates the optimization sweeps downstream.

The data

A backtest you can take to an eval.

Every tick since 2017, order-book depth included. With Simulate Fills in Realistic mode, market orders walk 10 levels of historical depth, limit orders wait their turn in the modeled queue, and latency delays every fill. When the stop and the target share a bar, we know which hit first — because we replay the tape, not the candles.

ES & NQ from 2017 · micros including MES · stocks & crypto with order-book depth.

How the engine works

Market order walking the book

Market buy · 5 contractsRealistic fills

4512.503 askfilled 3

4512.752 askfilled 2

4513.006 ask

4513.254 ask

Blended fill4512.60 +2 ticks slippage

Same strategy · optimistic vs realistic fills

Optimistic (instant fills)Realistic (Simulate Fills)

AI Copilot

The copilot that refuses to flatter you.

It brainstorms with you, wires the graph, and reads every result against your goal. But it will not praise an unvalidated backtest — if your edge might be luck, it says so, names the cheapest experiment to find out, then helps you fix it and re-run.

Meet the copilot

AlgoCopilot

That backtest is in-sample — it could be luck. Run robustness before you trust it. Want me to?

why do i keep failing the Topstep eval?

Your trailing-drawdown breaches cluster in the first 10 days. The cheapest fix: halve size for days 1–10.

Proposed changepreview diff

Size → 1 contract for days 1–10, then 2.

Simulated pass rate61%72%

Robustness

Your backtest happened once. We make it happen 10,000 times.

Resample the trades, perturb the fills, shuffle the regimes — then read the distribution, not the one lucky line. One score, six weighted components, capped below 100 trades so a small sample can't fake its way to confidence.

Tail risk (CVaR 99)Execution stressRegime breadthSample-size honesty

Explore robustness testing

Robustness Score

Pricing

Less than one eval attempt.

Every plan includes the full pipeline and the copilot. Annual billing is two months free.

Starter

$49/mo

or $490/yr — 2 months free

1,500 backtest credits / mo
500 copilot messages / mo
Full pipeline & robustness suite

Pro

$99/mo

or $990/yr — 2 months free

5,000 backtest credits / mo
1,000 copilot messages / mo
Full pipeline & robustness suite

Quant

$199/mo

or $1990/yr — 2 months free

12,000 backtest credits / mo
2,000 copilot messages / mo
Full pipeline & robustness suite

Start free

100 backtest credits · No credit card

Compare all plans

Shipping next: Portfolio Manager · Advanced Reports

FAQ

Questions, answered straight.

Everything about building, testing, and passing with AlgoLift — no jargon, no dodging. Still stuck? We're one message away.

Contact support

No. AlgoLift is a no-code platform: you build strategies by wiring nodes on a visual canvas — indicators, logic, and order rules — and the AI copilot can build or edit them from a plain-English description. There's nothing to install and no scripting language to learn.

Any firm's evaluation. AlgoLift ships presets modeled on Topstep (50K/100K/150K) and Apex (50K/100K), and you can configure fully custom rules — account size, profit target, trailing-drawdown type, daily loss, consistency, and minimum days — for any firm. Presets are modeled on publicly available rules and can change, so verify current terms with your firm.

The verdict runs your strategy's trade distribution through thousands of simulated evaluations against your firm's rules. It resamples your trades — not individual evaluation ticks — so it's an estimate, not a promise, and the card says so. We also track whether our predictions hold up over time, so a stated 60% is meant to mean 60%.

Tick-level history with market-by-order (MBO) order-book depth. ES and NQ go back to 2017, several equities to 2018, and a 2025+ set includes micros like MES and crypto. With Simulate Fills in Realistic mode, orders walk real historical depth and limit orders model queue position.

No. AlgoLift is not a prop firm and is not affiliated with any. We're the test bench you use before and during an evaluation — to know your odds, find what's failing you, and fix it. You take the eval with the firm of your choice.

Forward testing runs your deployed strategy on new data each day and reconciles it against the Monte-Carlo bands you saw before deploying. Automated live execution is rolling out through supported broker connections; where it isn't available, you place the signals yourself. AlgoLift never trades without your setup and consent.

Backtest credits meter how much history you test. A run consumes credits based on the span of data it covers, so a quick idea check costs little and a decade-long, tick-level backtest costs more. Each plan includes a monthly allotment, and you can top up anytime.

Yes — plans are month-to-month and you can cancel anytime. Your strategies, backtests, and results stay in your account, and you keep the work you did on the free trial if you decide to upgrade.

Trusted by traderswho demand more

“Algall it has replaced my entire backtesting stack. Nothing else comes close in accuracy.”

Daniel P.

Quant Trader

“The strategy builder alone is worth the subscription. It's the most intuitive tool I've used.”

Nia M.

Algo User

“I passed my prop firm challenge after optimizing my strategy here. Incredible platform.”

J. Martinez

Prop Trader

“The accuracy of the backtester gives me the confidence I need to deploy my strategies live. A game-changer. The strategy builder alone is worth the subscription.”

Sarah L.

Retail Trader

“An indispensable tool for any serious trader. The analytics are top-notch and have helped me refine my approach.”

Alex Johnson

Day Trader

“The API is well-documented and robust, allowing for seamless integration with my existing toolset.”

Ben Carter

Systems Analyst

“Finally, a platform that understands the need for institutional-grade tools for retail traders. Highly recommended.”

Chloe Davis

Financial Engineer

“I can analyze strategies with a level of detail that was previously impossible. This has become a core part of my workflow.”

Ethan Grant

Portfolio Manager

“The user interface is clean and incredibly powerful. I was able to get up and running in no time.”

Fiona Hall

Independent Trader

“The speed and reliability of the backtesting engine are impressive. It handles massive datasets without any issues.”

George Hill

Hedge Fund Analyst

“A truly game-changing platform for systematic trading. The features are comprehensive and well-thought-out.”

Hannah Ives

FinTech Developer