Turn trading ideas into automated strategies.

Create strategies with visual blocks or AI assistance. Backtest your rules, try paper trading, and automate through a supported broker.

Brokerage connection is optional when you create an account.

The saved Quality Value Momentum 20 trading strategy assembles automatically: market screening, weighted quality, value and momentum factors, Top 20 selection, 5% allocations, and monthly rebalancing. Tickers shown are a saved snapshot. Then Technical Donchian Breakout GLD assembles: Current Price above Donchian Upper buys 100% GLD; below Donchian Lower sells 100% GLD. Both channels use lower length 20, upper length 40, and offset 1. Technical Bollinger Breakout QQQ follows: Current Price above both the 200-period SMA and Bollinger Upper buys 100% QQQ. Price below Bollinger Mid or below the SMA triggers separate 100% sell orders. Bollinger uses length 50, standard deviation 2.1, DDOF 0, and SMA mode. Both indicators use closing prices and offset 0.

See a strategy take shape.

Watch how to build rules, test a strategy, and manage automated execution in Alphavator.

A TBOT is your automated trading strategy in Alphavator.

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.

From idea to automation.

Build your rules, test their behavior, try paper trading, and enable execution when you are ready.

  1. Build your rules

    Create a strategy with visual blocks or use AI assistance to draft rules for you to review.

  2. Backtest the strategy

    Evaluate the rules using historical data and examine the results and test assumptions.

  3. Try paper trading

    Observe strategy behavior with simulated funds before considering live execution.

  4. Enable automation

    Connect a supported broker and activate the strategy rules you reviewed.

Alphavator workflow architectureFundamental data powers Quant Trading, and indicators power Technical Trading. Both connect to the AI Strategy Agent, alongside historical market data through Backtesting and supported market data through Simulation. AI assists with drafting rules for users to review. Enabled rules connect to Auto Trading, which distributes strategies to four TBOT units.ROEP/ERevenueMore factorsSMAMACDRSIMore indicatorsQuant TradingTechnical TradingAlphavatorAI Strategy AgentHistorical market dataHistorical pricesSupported market dataMarket updatesBacktestingSimulationAuto TradingTBOTUnit01TBOTUnit02TBOTUnit03TBOTUnit04
  1. Quant Trading

    Screen and rank securities, select holdings, set allocations, and configure scheduled rebalancing with visual blocks.

  2. Technical Trading

    Combine indicators and price conditions to define your entry and exit rules in the visual builder.

  3. AI Strategy Agent

    Use AI assistance to draft and refine strategy rules, then review the rules before enabling your strategy.

  4. Backtesting

    Evaluate your rules against historical data and review performance, trade statistics, and rebalancing history.

  5. Paper Trading

    Observe your strategy with simulated funds and supported market data before considering live execution.

  6. Auto Trading with TBOT®

    Enable your TBOT to execute configured strategy rules through a supported brokerage connection.

Your rules. Your control.

AI helps draft your strategy. You review the rules. Enabled TBOTs execute your configured rules through your connected broker.

Custody

Funds stay in your brokerage account

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

Ownership

You define and review the rules

You create, review, and control your strategy rules. AI helps draft or refine them, but it does not independently decide what to trade.

Execution

Enabled TBOTs follow your rules

Enabled TBOTs execute your configured rules through your connected broker. Alphavator does not provide investment advice, recommendations, signals, or discretionary trading.

Frequently asked questions.

Do I need to know how to code?

No. Alphavator lets you define strategy rules with visual blocks and AI assistance.

What does the AI do?

AI helps draft and refine strategy rules. You review the rules before enabling your strategy.

Do I need to connect a broker to create an account?

No. Brokerage connection is optional when you create an account.

What is the difference between backtesting, paper trading, and live trading?

Backtesting evaluates rules against historical data. Paper trading uses simulated funds to observe strategy behavior. Live trading submits orders through a connected brokerage account.

Build your first strategy.

Define the rules, test the behavior, and decide when to automate.