Professional traders, no code

Build, test, and automate trading strategies without writing code.

Professional traders automate with custom code and tooling that is hard for most investors to access. Alphavator exists to close that gap with an AI-powered, no-code platform to build, test, and deploy strategies with visual blocks.

Open platformView product proof
Professional-trader workflows, no code
AI assists with rule creation
Funds remain at your broker

Why Alphavator Exists

Retail investors want systematic trading, but the path to automation is still fragmented.

Intuition is common, systematic trading is the goal, and the middle layer is where most products still break down.

Where the transition breaks

Most users get blocked before automation starts because the work is still too technical to assemble end to end.

  • Programming

    Users often need Python, Pine Script, or similar technical skills before they can express strategy logic.

  • Quant concepts

    Moving from intuition to rules requires understanding backtests, parameters, and data-driven validation.

  • Infrastructure

    Reliable automation still depends on stitching together backtesting engines, data pipelines, and broker connections.

Existing tools stay fragmented

The market is split across tools that cover analysis, coding, or execution, but rarely the full workflow.

  • Charting tools

    Strong for indicators and analysis, but they stop short of delivering an executable system.

  • Quant platforms

    Powerful once you can code, but still difficult for users without technical backgrounds.

  • Broker apps

    Execution is available, but strategy definition and validation usually live somewhere else.

Gradient arrow pointing from pain points to Alphavator's connected solution.

Current reality

Intuition-driven trading

Many retail trading decisions still follow headlines, social chatter, rumors, or gut feel.

News and signalsGut feelNo repeatability

Core gap

No accessible path to automation.

Alphavator turns that missing middle layer into a single usable workflow.

CodingQuant logicInfrastructure

Desired state

Systematic trading

Retail investors increasingly want a workflow that feels closer to how professionals operate.

Defined rulesBacktestsAuto execution

Workflow

How Alphavator works end-to-end.

Set your strategy in the visual builder, validate logic with backtests, run risk checks, then route orders through your connected broker.

Alphavator workflow architecture diagram

Build rules from blocks, refine with AI, validate with deterministic backtests, and execute through your connected broker.

  1. Define

    01

    Model strategy logic

    Create explicit entry, exit, sizing, and risk logic in the visual builder as connected blocks. AI can assist with drafting, but you approve the final rules.

  2. Validate

    02

    Run deterministic validation

    Backtest on historical data and inspect scenario behavior before deployment so outcomes match the rule set you defined.

  3. Execute

    03

    Activate controlled execution

    Enable broker-connected execution only for strategies you approve, with funds staying in your linked brokerage account.

Trust And Control

Trust, control, and access to what professional traders build in code.

Alphavator is non-custodial software for user-defined strategies; funds stay at your broker. It does not provide investment advice, discretionary trading, or custody.

Custody

Funds stay in your brokerage account

Alphavator is non-custodial and does not take possession of client funds.

Ownership

Strategies are user-defined

Users create, review, and control the rules that drive execution.

AI Role

AI is assistive only

AI can help draft or refine rule logic, but it does not autonomously trade.

Execution

No discretionary trading

Alphavator does not decide when, what, or how much to trade.

Guidance

No investment advice

The platform provides tooling and workflow support, not recommendations or signals.

Integration

Broker-connected execution

Execution runs through the connected brokerage account using the user configuration.

Product proof

See how user-defined logic moves from builder to broker-connected execution.

Recorded product footage showing rule creation, testing, and execution controls.

AI can assist with rule creation, while Alphavator provides workflow tooling and execution controls. It does not provide investment advice or select trades.

01

Define Strategy Rules

Create user-defined entry, exit, and risk rules in a visual builder.

02

Test Before Deployment

Run backtests and review rule behavior before enabling broker-connected execution.

03

Broker-Connected Execution

Execute the strategy you approved through a connected brokerage account while funds remain at the broker.

04

Build from YouTube

Use content as a starting point, then convert ideas into user-defined strategy rules.

05

Manage Your TBOTs

Monitor deployed strategies, review status, and manage execution from one overview.