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.
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.
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.
Core gap
No Path to Systematic Trading
The core gap is the lack of a simple, unified infrastructure for retail traders to build, test, connect, and automate real strategies without coding.
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
Existing tools stay fragmented
Charting tools: Strong for indicators and analysis, but no executable system.
Quant platforms: Powerful backtesting, but coding required.
Broker apps: Execution is available, but difficult to define strategy.
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.
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.