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
Alphavator is an AI-powered, no-code algorithmic trading platform for building, testing, and deploying automated trading strategies with a visual block system. Instantly backtest and simulate strategies in real time, measure performance with professional metrics, and automate execution with institutional-grade market data.
Why Alphavator Exists
Traders want algorithmic trading, but the path to automation is still fragmented and complex.
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.
1Quant Trading
Design quantitative stock-selection strategies visually using fundamentals like ROE, P/E, growth, and profitability. Alphavator updates selections dynamically as market conditions change.
2AI Strategy Agent
Turn plain text or a YouTube link into a strategy with Alphavator’s agentic AI, then optimize, backtest, simulate, and deploy as TBOT with built-in risk controls and rebalancing.
3Technical Trading
Create technical strategies with visual blocks for indicators, patterns, and rule logic. Extend them with advanced signals from machine learning, news, and social sentiment.
Build rules from blocks, refine with AI, validate with deterministic backtests, and execute through your connected broker.
4Backtesting
Run fast, vectorized backtests across multiple timeframes using up to 20 years of historical data. Evaluate performance with professional-grade metrics and tune with confidence.
5Auto Trading with TBOT®
Launch an AI-powered TBOT® built from visual blocks and connected to your broker. Once funded, it runs automatically during market hours based on your strategy rules.
6Simulation
Test strategies in live market with paper money and real-time data. Alphavator delivers institutional-grade feeds with sub-20 millisecond latency for responsive simulation and execution.
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.