Overview
Last updated
Last updated
Mito AI Hedge Fund (M.A.H Fund) is an AI-powered hedge fund utilizing multi-factor quant strategies and autonomous AI agents to optimize trading decisions. By combining machine learning, market insights, and real-time data analysis, M.A.H Fund maximizes profitability while managing risks dynamically.
M.A.H Fund integrates $MITO token staking to amplify capital efficiency through a marginal algorithm with manager (Human Approval) that optimizes fund allocation.
🔢 Marginal Algorithm & Fund Allocation Formula
M.A.H Fund follows a structured allocation model:
Total Trading Capital ($T_{fund}$) Calculation:
where:
$S_{MITO}$ = Total $MITO tokens staked
$L$ = Leverage multiplier (determined by AI risk models)
$E_{fund}$ = External liquidity pool contributions
Dynamic Risk-Adjusted Allocation per Strategy:
Each trading factor receives a dynamically weighted capital allocation based on risk-adjusted returns:
where:
$A_{factor}$ = Allocation for a specific factor
$R_{factor}$ = Expected return of the factor (calculated via AI models)
$\sum R_{all}$ = Sum of expected returns across all factors
Profit Distribution & Yield for Stakers:
Profits generated are distributed between fund growth, reinvestment, and staker rewards:
where:
$P_{staker}$ = Profit share for stakers
$P_{total}$ = Total trading profit after expenses
