You describe. AI builds.
Describe how your bot should trade. AI helps turn your prompt into clear entry, exit, and risk management rules.
Build trading bots with AI, test your strategies,
and manage an entire portfolio. One workspace. No code required.
Your entire trading system. One command center.
| Bot | Logic | Capital | Mode |
|---|---|---|---|
| ₿ BTC Trend | Trend | 40% | Paper |
| Ξ ETH Range | Range | 35% | Paper |
| ◎ SOL Momentum | Momentum | 25% | Paper |
Three example strategies. Create your own bots in the app.
Idea → entry and exit rules → backtest → paper trading.
Try the builderBuild, test, and manage your strategies in one place. Spend more time developing ideas and less time switching between tools.
Describe how your bot should trade. AI helps turn your prompt into clear entry, exit, and risk management rules.
Backtest your idea with fees included. Compare drawdowns, then observe its behavior in a paper trading account.
Combine strategies into a portfolio. Allocate capital, monitor overall risk, and understand what every bot is doing.
You do not need code to express a strategy. Choose an approach and a risk limit to explore your first QuantShark prompt.
This demo helps you write a prompt. AI generation and testing happen in the app. This website does not execute trades.
Capital allocation is not a measure of risk. Positions, leverage, and correlations also matter.
Five bots can end up making the same bet. View your strategies together to understand their combined exposure.
Capital, active strategies, and bot health — all in one workspace.
Understand which strategies complement each other and which duplicate the same risk.
Set limits and review changes. Move to live trading only with your approval.
Download the Windows or macOS app. Open QuantShark and start with a paper trading account.
Choose your assets, trading logic, and risk limit. AI helps turn your idea into strategy rules.
Review the backtest, fees, and drawdowns. Then observe your bot in paper trading.
Combine strategies and configure limits. Enable live trading when you understand and accept the risks.
The essentials of QuantShark and how to get started.
QuantShark is a Windows and macOS app for creating automated trading rules with AI, testing them on market data, and managing multiple bots as one portfolio. You define the idea and constraints; the app helps you turn a hypothesis into a testable strategy.
Not for the core workflow. Describe your idea in plain language: what to trade, when to enter, and how much risk to allow. You still need to understand the resulting rules and evaluate the test results.
Yes. Start with historical backtests and a paper trading account. This lets you explore how a bot behaves before placing real trades. Simulated results can differ from live execution.
No. QuantShark helps you build, test, and manage strategies, but it does not eliminate market risk. A successful backtest does not guarantee future returns. You can lose capital when trading.
AI helps define your strategy. Moving to live trading requires your approval and configured limits. Before starting, review API permissions, execution rules, and the bot shutdown procedure in the app.
This website introduces the features and lets you prepare a sample prompt. The terminal and charts are demonstrations. Bot creation, backtesting, and trading management happen in the desktop app.
Your workspace for algorithmic trading.
Download QuantShark and build your first strategy.