AlphaFox

AI-NativeQuantTrading Platform

Strategy Leaderboard

Compare recorded strategy returns and running history. Copyable configurations are research starting points, not promises of matching returns.

Explore the Leaderboard
  • #1 Leaderboard data unavailable. 7D ROI --. 7D PnL (USDT) --.
  • #2 Leaderboard data unavailable. 7D ROI --. 7D PnL (USDT) --.
  • #3 Leaderboard data unavailable. 7D ROI --. 7D PnL (USDT) --.
  • #4 Leaderboard data unavailable. 7D ROI --. 7D PnL (USDT) --.

From strategy configuration to live validation

[IDEA]
01

Configure a Strategy and Its Risk Limits

Choose a strategy template and parameters on the web, or install the AlphaFox CLI so your AI agent can call supported backtest and strategy operations.

[ACTION]
02

Validate on Paper First

Observe a strategy using virtual funds and real market data before considering live trading. Simulated results do not predict future returns.

[BACKTEST]
03

Side-by-Side Backtesting

Use Engine Backtest to compare historical windows and parameters, reviewing drawdown and overfitting risk. Backtests cannot guarantee live performance.

[COMMUNITY]
04

Research Public Strategy Performance

Review recorded performance and configuration visibility on the leaderboard. Validate any copied configuration on paper first.

The platform in numbers

Assets under management

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Total orders

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Total trading volume

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Two connection custody models

Exchange API connections are non-custodial: funds stay on your exchange and withdrawal permission is never requested. Optional AlphaFox-managed Hyperliquid wallets are custodied by Turnkey.

Alpha within Reach