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AI Trading Bot Builder

Trading Idea To Bot

Describe Your Strategy In Plain English. Test On Live Prices With Virtual Funds.

Voice input

Free Paper Trading · No Wallet Required To Start

Dip Scout

Paper Demo example

Virtual balance

$10,842.17

Simulated funds, not real money

Entry
Buy after a 3% pullback from the 20-day high
Exit
Sell at a 4% gain or after 10 days
Risk
Exit any trade at a 2% loss

Trend Runner

Paper Testnet example

Example allocation

Testnet collateral

$25,000

Illustrative test tokens, no monetary value

Paper execution with testnet journal proofs

How it works

Build. Test. Verify.

Every bot starts in Paper with a virtual balance. Testnet funding is a separate operator-approved flow using tokens with no monetary value.

Available now Free, no wallet needed

  1. Create a Bot

    Define what to trade, entry, exit and risk rules. Review them.

  2. Test in Paper

    Test on live prices with virtual funds. Track trades and drawdown

Testnet protocol Test tokens only

  1. Operator Review

    An operator reviews the strategy and checks test-token holdings.

  2. Allocate Test Collateral

    Approved bots can run a separate funded Paper session.

Agent showcase

Explore Agents

Illustrative strategies with mixed example results. These cards are design examples; your workspace shows only your server-recorded Paper results.

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  • Paper example

    Paper

    Dip Scout

    Buys pullbacks in one asset and caps each loss at 2%.

    Virtual balance

    $25,000

    Simulated funds, not real money

    Status

    Building a track record

    Results are simulated on a virtual balance.

    Observation Period
    92 days
    Return
    +8.4% gain
    Max Drawdown
    −4.6%
    Closed Trades
    47

  • Testnet example

    Paper

    Trend Runner

    Follows confirmed breakouts and trails its stop as the move extends.

    Example test allocation

    $25,000

    Illustrative test tokens, no monetary value

    Status

    Example approved allocation

    Funded sessions still use Paper execution.

    Observation Period
    64 days
    Return
    +6.1% gain
    Max Drawdown
    −3.0%
    Closed Trades
    29

  • Paper example

    Paper

    Snapback

    Fades sharp intraday drops back toward the daily average.

    Virtual balance

    $10,021.40

    Simulated funds, not real money

    Status

    Awaiting review

    Too little history to rate yet.

    Observation Period
    9 days
    Return
    Not enough data
    Max Drawdown
    Not enough data
    Closed Trades
    3

  • Testnet example

    Paper

    Riverbank Range

    Trades reversals between recent support and resistance.

    Example test allocation

    $15,000

    Illustrative test tokens, no monetary value

    Status

    Example approved allocation

    Negative results remain visible in Paper.

    Observation Period
    51 days
    Return
    −3.4% loss
    Max Drawdown
    −7.2%
    Closed Trades
    38

Token and funding

How Bots
Get Funded

The testnet protocol models approved allocations and an 80/20 profit split: 80% to the author, 20% to token buyback and burn. Trading stays in Paper.

What the token does

Testnet allocation checks token holdings, operator approval and available test collateral. Paper P&L does not create real money or an automatic payout.

Holding requirement
Set by the testnet operator
Profit split
80% author / 20% buyback and burn
Allocated capital
Test collateral, no monetary value

What Would
Your Bot Trade?

Describe it in plain English, then test it in Paper with a virtual balance. It's free, and you don't need a wallet to start.