Majors Momentum
Multi-horizon momentum with a volatility filter, capturing medium-term trends in BTC/ETH and cutting exposure automatically in chop.
- CAGR
- +31.5%
- Sharpe
- 1.92
- Max Drawdown
- -14.8%
14 strategies spanning trend, arbitrage, market-neutral, on-chain and AI signals. Below is a public view of each strategy's framework and risk profile.
About this data
All performance figures on this page — equity curves, Sharpe ratios, drawdowns — are illustrative sample data used to convey each strategy's framework and risk profile. They do not represent actual historical performance or any promise of future returns. Audited figures will be published when available.
Multi-horizon momentum with a volatility filter, capturing medium-term trends in BTC/ETH and cutting exposure automatically in chop.
Watches the same instrument across venues and crosses both sides when the spread still clears fees and slippage. Market neutral.
Builds hedged positions when perpetual funding deviates materially, earning the rate without directional exposure. Settles every 8h.
Screens cointegrated pairs and fades the spread when it departs its historical mean beyond threshold, waiting for reversion.
Trades directional expansion out of low-volatility compression, sizing and stopping on ATR. High payoff, low hit rate.
Fades short-term overextension in liquid mid-caps with volume confirmation. Holding periods measured in hours.
Tracks large Solana transfers, DEX net inflow and new holder growth, positioning ahead of inflection points in flow.
Actively manages concentrated-liquidity ranges on major DEXs to earn fees while hedging impermanent-loss exposure.
Uses an LLM to score social and news sentiment intensity, combining the resulting factor with price momentum to form signals.
Parses the newsflow in real time, classifying event direction and magnitude, then takes short-horizon positions before full repricing.
Longs spot against short futures when the curve is in contango, locking the basis to convergence. Near risk-free carry.
A hidden-Markov model classifies bull, bear and range regimes, switching sub-strategies and leverage per state.
Ultra-short signals from order-book imbalance and trade-flow asymmetry. Minute-scale holds; still in research, not in production.
Blends momentum, value, quality and on-chain activity factors into a long/short book across the top 100 by cap, rebalanced weekly.
The VectorKeith terminal delivers live signals across 14 production strategies, order-book depth, prediction markets and an AI research assistant.
Quantitative trading carries market, model-failure and liquidity risk, and may result in total loss of capital. Past performance does not predict future results. Nothing here constitutes investment advice, an offer or a solicitation.