Going Live

TL;DR. AlgoLift does not place live trades today. Live execution is on the roadmap as AlgoLift Desk, a desktop app that will run a strategy you validated here on your own broker or prop account, from your own computer. Until it ships, the furthest a strategy goes on AlgoLift is a forward test: every new session of real data, scored against the range saved when you deployed.

What you'll be able to do

• Know exactly what AlgoLift can and cannot do live today.
• Understand how AlgoLift Desk is being designed, and why each choice was made.
• Get a strategy as ready for live trading as it can be today, wherever you trade it.

#Where live trading stands

Everything up to live execution works today: you build a strategy, backtest it tick by tick, optimize and walk-forward it, read its robustness and prop verdicts, then forward-test it on new data. That last stage is the closest thing to live the platform offers. It runs on real market data, on days that did not exist when you built the strategy, with the fill model your backtests used.

What it cannot tell you is how your broker fills your orders. That gap is exactly what AlgoLift Desk is being built to close and to measure.

#What's being built: AlgoLift Desk

The design below is the plan. It can change before release, and none of it is available yet.

• The engine your backtest ran. The Desk runs the same engine build your strategy was validated on, not a translation of it, so live decisions follow the logic you tested.
• Your computer, your account. Orders go from your computer to your broker or prop platform, using your own login. Your broker credentials never reach AlgoLift, and neither do your orders. AlgoLift's servers hand out releases and licenses and receive only the record you choose to sync afterwards.
• Your firm's rules, before every order. Drawdown, daily loss, contract limits, flat-by times and news windows are checked before an order leaves. Each entry is sized to fit the room the account has left, or skipped if it can't fit.
• Modes that match your firm. Watch-only (no orders at all), one click per trade, automatic while you are present, or fully automatic, offered per account according to what the firm allows.
• Protection held at the broker. Every position carries its stop and target as orders resting at the broker, so a crashed computer or a lost connection never leaves a position unprotected.
• Measured, not assumed. Every live trade is compared with what the engine expected on the same data, and each day is replayed overnight against our own history, so a mismatch gets flagged instead of hidden.
• You stay in charge. Pausing or flattening works from anywhere, including your phone. Arming a strategy or raising its size only happens at your own computer.

There is no release date. It will be announced when it is ready to use, not before.

#Prop firms and automation

Automation rules differ by firm and by account phase, and they change often. Some firms allow automated trading, some allow it only while you are present, some ban it on funded accounts, and several ban trading from a VPS or through a VPN. A few also restrict bots that many traders share.

Whatever platform you use, check your firm's current rules before you automate anything. The prop firm traders use case covers how the platform models each firm's drawdown, daily loss and consistency rules in simulation.

#Getting a strategy ready today

These steps are worth doing whether you eventually trade on the Desk or somewhere else.

1. Forward-test for enough trades. The trade count matters more than the calendar. A forward stream's verdict reads from 30 trades, and the Forward Test stage says roughly how long that takes at your strategy's pace.
2. Backtest with realistic fills. Turn Simulate Fills on and set your real commission. Optimistic fills are the most common reason live results disappoint.
3. Read the verdict against your firm's rules. The Prop tab simulates your strategy under your firm's drawdown, daily loss and consistency rules.
4. Write down your limits. Per-trade risk, daily loss and account drawdown, decided before the first trade. The risk management page covers the math.
5. If you trade it on another platform, compare the trades. Put that platform's trades next to your forward test day by day. A difference in signals means the two versions of the strategy are not the same strategy; fix that before you add size.

#How this fits the workflow

Design in the Visual Builder, validate in the Backtest Engine, interpret in Analytics, then watch the strategy on new data in Forward Test. Going live is the step after that, and on AlgoLift it is still on the roadmap.