The Fund

Three engines. One systematic framework.

A total-return strategy built on three integrated engines, core holdings, tactical trades, and prediction-market intelligence, governed by a four-stage decision architecture.

Core Holdings

Engine 1

High-conviction positions in structural winners across crypto, AI, quantum computing, and robotics. 6-24 month hold periods, conviction-weighted sizing.

10-20 max positions, rebalanced 2× per year
Mix of established protocols (5-10×) and early-stage (10-100×+)
Positions held as long as thesis intact; cut aggressively on violation
Fundamental filter: protocol revenue, developer activity, tokenomics, competitive positioning

Tactical Trades

Engine 2

Directional and market-neutral trades driven by technical, quantitative, and macro signals. 1 day to 3 month hold periods. Allowing returns across all market regimes.

Spot, perpetual futures, options strategies
Elliott Wave, volume profile, liquidation flow, funding divergence
Every trade: pre-defined entry, stop-loss, take-profit, minimum 2:1 R/R
Cash-flow engine that complements longer-duration core holdings

Prediction Markets

Engine 3

Proprietary behavioral-intelligence system that analyses informed trading on blockchain prediction markets, surfacing signals hours to days before market repricing.

275M+ trades analyzed, 2.27M wallets profiled
Behavioral-deviation scoring at the individual wallet level
Cross-asset signal translation: geopolitics, crypto, economics

Synthesis

How the three engines work together.

The core holdings provide strategic exposure to secular growth themes. The tactical engine generates alpha from inherent market volatility, adding returns in bull markets through momentum, and offsetting drawdowns through shorts and hedges during corrections. The prediction-market system provides an orthogonal intelligence layer, detecting when informed participants move capital before the broader market adjusts, creating positioning advantages across correlated assets.

This three-engine approach smooths the equity curve while maintaining full upside participation.

Decision framework

Four-stage systematic architecture.

Every investment decision passes through a structured, multi-layer analysis. This is not discretionary trading, it is a process that combines human judgment with quantitative rigor.

Macro Regime

· Market sentiment and confidence indices
· Inflation trajectory and yield-curve dynamics
· M2 money supply and global liquidity
· USD strength (DXY) and risk correlation
· Crypto-specific cycle positioning

Output

Risk-On / Risk-Off / Transitional

Timing & Data

· Open interest levels and changes
· Funding rate dynamics and divergence
· Liquidation flow and cascade zones
· ETF flow direction and volume
· RSI, MA crossovers, momentum indicators

Output

Deploy / Hold / Reduce / Hedge

Price Levels

· Elliott Wave structure (multi-timeframe)
· Volume Profile (VPVR) and points of control
· Supply/demand zone mapping
· Orderbook depth and limit clustering
· Liquidation heatmaps

Output

Entry, stop-loss, take-profit levels

Execution

· Volatility-adjusted VaR position sizing
· Entry/exit triggers defined before initiation
· Stop-loss at thesis-invalidation levels
· Minimum 2:1 risk/reward ratio
· Correlation check against existing portfolio

Output

Fully defined trade plan

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Detailed positioning, historical performance, and current allocations are shared with qualified LPs on request.

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