Four strategies with genuine edge, four that do not. The gap between marketing and math.
Cross-sectional momentum — buying the top-quintile performers over the last 30 days, rebalancing weekly — has shown persistent edge in crypto for close to a decade. Layering an AI classifier that filters out low-liquidity or manipulated tokens improves it further.
Realistic annualized excess return over a buy-and-hold BTC benchmark: 8–15%, with drawdowns still exceeding 50% in bad years. Not a get-rich-quick strategy — but genuinely edge-positive over full cycles.
Language models trained on Discord, X, Farcaster and Telegram can quantify shifts in project sentiment days before price. The edge is real but decays quickly as more traders adopt similar tools.
Best used as an overlay to existing directional views rather than a standalone strategy. False positives are common; size positions modestly.
When perpetual funding rates diverge sharply from spot, an AI-timed cash-and-carry trade can capture the spread with limited directional risk. This is one of the closest things to a "true" arb in crypto — but it is capital-intensive, requires leverage, and gets crowded fast.
Retail investors are usually better off leaving this to systematic funds. Understand the mechanic; do not try to implement it manually with $5k.
Rather than trying to trade individual tokens, an AI model classifies the current macro regime (risk-on, deleveraging, capitulation) and adjusts BTC allocation between 20% and 80% of a crypto sleeve accordingly. Simple, low-turnover, and back-tests well across full cycles.
Best suited to retail investors who want a systematic overlay on a long-term crypto position without daily trading.
AI-generated "signals" from unaudited Telegram bots, chart-pattern recognition on 5-minute charts, and any "AI trading bot" that guarantees returns. These are marketing wrappers around random walks; the only reliable beneficiary is the bot vendor.
Some genuinely can, at institutional scale with proper risk management. Retail "AI trading bots" advertised on social media almost universally lose money net of fees.
A simple regime-aware BTC allocation model, adjusting BTC weight quarterly based on macro regime, gives most of the risk-adjusted upside without needing to trade actively.
A well-executed momentum ensemble delivers 8–15% annualized excess return over BTC buy-and-hold, with 50%+ drawdowns still possible. Anything promising 100%+ per year is marketing, not math.
A carregar dados em direto — a vista interativa aparece já.