Hyperlquid introduces on‑chain portfolio margin backed by a robust lending market, avoiding the hidden credit risk of centralized exchanges while preserving capital efficiency for traders.
Because Bitcoin's cycle under-performed, spreading capital across stocks, gold, silver and other assets reduced disappointment. A balanced portfolio lets investors keep high-conviction bets while retaining flexibility to shift when markets turn.
AI is seen as a potential winner-take-all market, but the path to dominance is unclear, and massive U.S. spending may boost productivity while data-security challenges loom.
Spending endless hours on theory does not make a better trader. The decisive edge comes from mastering psychology and tailoring risk-management to one's personal tolerance. Over-studying without mental discipline creates false confidence and costly mistakes.
Prop firms provide fast access to large leverage and structured payouts, but once a trader reaches a capital threshold, personal accounts become more flexible and less stressful.
Separating trading capital from savings, lifestyle, and investment buckets protects against drawdowns and maximizes the utility of leveraged accounts.
Nang challenges the conventional stop-loss mindset, arguing that if fundamentals haven't changed, adding to a losing position can be optimal. He also explains why many quant firms avoid hard stops altogether.
Nang discusses how to size positions, the importance of monitoring edge decay, and why a disciplined approach to loss streaks is vital.
Position size must reflect setup quality and personal temperament. The system's profitability is the ultimate gatekeeper; confidence cannot compensate for a weak edge.
Hiren uses a fixed‑fraction risk model (1 % of account per trade) and places stop‑losses at the previous day low, which historically is rarely breached by winners. He adjusts position size based on stop‑loss width, keeping risk constant while varying exposure.
Ray’s systematic approach to investing hinges on explicit rules, cause‑and‑effect analysis, and a disciplined feedback loop. By separating emotion from logic, he creates a repeatable process that can be scaled across markets. The framework also emphasizes understanding the causal chain behind every trade.