
STRATEGIES
Loss Mitigation Strategies
Speculative Yield Farms:
- Invest 10-20% of allocation at farm launch, then incremental amounts over 4-6 weeks. Allows averaging entry points in volatile assets.
- Set stop loss orders at -15% to -30% below purchase price depending on volatility. Can help control downside.
- Hedge concentrated positions via Opyn or Nexus mutual put options. Puts act as insurance against protocol hacks or major price declines.
- Spread allocation across 4-6 different farm offerings to mitigate protocol specific risks. Avoid excessive concentration.
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Emerging Projects:
- Limit position sizes to 2-3% of total portfolio value per project. Contain maximum loss from any one position.
- Take 20-30% profits if the project rallies 100%+ within short timeframe. Prevents giving back all gains.
- Hedge concentrated positions with short ETFs like BITI or MSTR that have negative correlation. Helps mitigate broad market corrections.
- Review project tokenomics, roadmap progress, and developer activity monthly. Be ready to cut losses on warning signs.
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Whale Trading Bots:
- Use 10-15% maximum stop loss on trading algorithms before re-evaluating strategy. Limits loss on unprofitable algos.
- Backtest each algorithm through multiple market cycles to determine optimal risk parameters and sizing.
- Maintain portfolio of 5-7 uncorrelated bot strategies so any single strategy failure doesn't sink returns.
- Monitor exchange volumes, volatility, spreads to assess if market regime changes warrant temporary algorithm shutdown.
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ICO/IDO Investments:
- Invest 50% on IDO listing, 25% after 1 month if price holds up, 25% after 3 months for longer term holds.
- Maximum 2-3% capital allocated per project. Contain exposure to failed projects.
- Take 30-50% capital off the table if 3x+ short term gains. Let remaining amount ride for higher upside.
- Review GitHub, social channels, and team dynamics for red flags like in-fighting or stalled development.
The key is constantly optimizing risk management as market conditions evolve to maximize upside while limiting downside risk.