Practical playbooks, tax help, and straight talk for anyone who's down on a crypto or stock trade and needs a plan back to green.
Step-by-step playbooks for what to do after a loss.
Market moves that matter, explained through a recovery lens.
The behavioral side of losing money — and how to think straight again.
Tax-loss harvesting and capital-loss guides for crypto and stocks.
Yes, options losses are generally deductible — but whether you're the buyer or the writer, and whether the position expired, was exercised, or was assigned, changes the holding period, the cost basis, and even the wash sale exposure. Here's the mechanics with worked examples.
KelpDAO sued cross-chain infrastructure provider LayerZero on September 25, 2026 over April's $292 million rsETH bridge exploit, alleging negligence and misrepresentation. Here's what that case and two earlier ones — Sarcuni v. bZx DAO and Risley v. Uniswap Labs — actually say about whether a DeFi hack victim has any real legal recourse.
Hindsight bias is the well-documented tendency to believe, after the fact, that you predicted an outcome you actually couldn't have called in advance. Why it turns every loss into self-blame, what the original 1975 research found, and how to check your own memory before you trust it.
Bitget lost $351.6 million to hackers on September 24, 2026, and says its Protection Fund will make every user whole. Here's the actual checklist for judging whether an exchange's 'your funds are safe' promise after a hack is real — with a side-by-side comparison against Bybit's $1.5B hack and a case where similar promises failed.
Recency bias is the tendency to treat the most recent price action as more informative than it actually is — extrapolating a short rally or a short crash into a permanent trend. What the research found, what it costs investors in real dollars, and how to catch it before your next decision.
Survivorship bias is what happens when you judge your results against a sample that's secretly made of only the winners — dead coins delisted, blown-up traders gone quiet, failed funds dropped from the record. Why your feed makes your losses feel uniquely bad, and how to check the real numbers before you believe it.