Questions, answered plainly.

AlgoLift is a no-code platform for building, backtesting and validating trading strategies, with prop firm rules built in. You describe or assemble a strategy, test it on years of tick data, check whether the result was luck, apply your prop account's rules and test it on months it has never seen, with a copilot beside you at each step.

A strategy is a set of blocks on a canvas: data, indicators, levels, conditions, and the orders they trigger. You connect them with wires, and the Inspector reads the result back as sentences and shows how often each condition holds on real bars.

It will not change your strategy without your say-so, praise a result the evidence does not support, suggest tuning a parameter to get past a test, or place trades. Every change it proposes waits for you to apply it and can be undone.

Futures and stocks are full order-book (MBO) data from Databento: ES and NQ from 2017 and AAPL, MSFT and NVDA from 2018. Crypto is Binance trade data and FX is Dukascopy tick data, both from 2019.

With book fills, available on ES, NQ, AAPL, MSFT and NVDA, market orders walk the recorded order book and limit orders wait in the queue, with latency on every order. With trade fills, orders fill at the printed trade price. Either way they are a model of execution, so the robustness suite also tests how much worse fills the strategy can take.

Each month of a run is computed in parallel in the cloud, so a backtest of several years of tick data usually finishes in a few minutes, and a one-month run from the Home chart in under one.

In four ways: a holdout of recent months that no run can read until you test the finished strategy once, one search budget that discounts the best result for every setting tried, walk-forward tests on months each pick never saw, and a Luck Test before you optimize at all.

Your strategy's trades are walked through the account's rules day by day, then reordered and resampled into 10,000 alternative histories. The pass rate is the share of those that reach the target before a rule ends the account; histories too short to finish are counted as inconclusive, not as passes or failures.

The account presets were last checked against each firm's published terms on July 3, 2026. Firms change their rules, so confirm the current terms with your firm before you buy an evaluation.

No. AlgoLift does not fund traders or sell evaluations, and it is not affiliated with any prop firm. It is where you build and test the strategy you take to one.

Yes. Your strategies, backtests and results are private to your account, and AlgoLift never sells or shares them. Backtesting needs no brokerage credentials.

Yes, as a Proof: a frozen, read-only page of a run's evidence with a verification code, where you choose what to show, whether dollar amounts appear and whether the strategy's logic stays sealed.

Email support@algolift.ai, ask in the Discord, or read the guide. Pro and Quant plans get priority support.