Current reality
Intuition Driven Trading
Many retail trading decisions still follow headlines, social chatter, rumors, or gut feel.
Result
- Inconsistent outcomes
- Emotional decision-making
- No way to improve or scale performance
Professional strategies for everyone
Build, test, and automate trading strategies without writing code.
Model strategies with visual blocks, lean on AI-assisted drafting, and learn from a growing community. Run one-click backtests on two decades of history with professional performance metrics, institutional-grade market data, streaming under 20 ms, and broker-connected execution when you are ready to automate.
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.
Core gap
No Path to Systematic Trading
Retail traders still lack one straightforward path from rules to live trades: define a strategy, validate it on data, connect a broker, and automate execution without writing code.
Major Barriers
- Complex coding requirements
- Manual and time-consuming backtesting
- Delayed or missed trade execution
- Limited strategy logic
- Data pipelines
- Broker integrations
Desired state
Systematic Trading
A growing segment of retail investors wants to trade more like professionals.
Desire
- Defined entry/exit rules
- Backtested strategies
- Data-driven decision making
- Automated 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.
Build rules from blocks, refine with AI, validate with deterministic backtests, and execute through your connected broker.
Define
01Model 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.
Validate
02Run deterministic validation
Backtest on historical data and inspect scenario behavior before deployment so outcomes match the rule set you defined.
Execute
03Activate 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.
Screen recordings from the real product: you will see how entry, exit, and risk rules are assembled in the visual builder, how those rules are checked against historical data before deployment, and how execution is turned on only for strategies you approve, using your linked brokerage account.