Closed Beta Release coming soon

Quantitative Trading Framework

  • Integrates multiple market signals (e.g., volatility, funding rates, RSI, on-chain liquidity).

  • Employs machine learning for self-learning strategies that adapt to market conditions.

  • Uses proprietary algorithms developed by a top quantitative research team.

Signal Type
Description
Source

Volatility

Measures price fluctuation

On-chain data

Moving Averages

Trend indicators (e.g., SMA, EMA)

Historical prices

RSI

Momentum oscillator (overbought/oversold)

Price data

On-Chain Liquidity

Pool depths and volumes

DEX APIs

Macro Indicators

Interest rates, economic news

Off-chain feeds

Dynamic Capital Allocation

  • Continuously adjusts portfolio exposure based on risk management models (e.g., VaR=Value at Risk).

  • Outperforms passive market cap and equal-weighted portfolios through active rebalancing.

Autonomous Execution

  • Executes trades on-chain with slippage control and fee optimization.

  • Supports cross-chain operations for seamless portfolio management (e.g., via bridges like Wormhole).

Twitter Agent

  • Automatically tweets curated insights about traded cryptocurrencies.

  • Enhances transparency and community engagement by signaling strategy conviction.

User Dashboard

  • Displays real-time metrics (TVL, PnL, Sharpe ratio, drawdown).

  • Replicates trading agent positions for full transparency.

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