How to Evaluate AI Crypto Signals Before Following Them
Evaluate AI crypto signals with a practical evidence checklist: verify the provider, separate backtests from live records, and account for missing results and costs.
Read articleCoinScreener Journal
Trading
Articles filed under Trading. Page 2 of 4.
How to Use a Crypto Screener to Build a Daily Watchlist
Build a daily crypto watchlist with a repeatable screening worksheet: record why a market stays, what needs checking, and when to remove it.
Read article
Can You Backtest a News Trade Without Looking Ahead?
Build a news-trading backtest around what was knowable then: first-release data, saved forecasts, receipt times and prices available after the order could arrive.
Read article
A Technical Setup Across a Funding Payment: What Changes?
Compare two exits from the same hypothetical crypto setup, before and after funding. Separate price gains, trading fees, funding cash flow and timing uncertainty.
Read article
John Bollinger: Why Two Standard Deviations Are Not a 95% Trading Guarantee
Does a two-standard-deviation band imply 95% odds? John Bollinger’s warning and a worked example separate historical containment, next-close coverage and trade results.
Read article
Last Price, Mark Price or Index Price: Which Triggers Your Stop?
A chart touch is not always a stop trigger. Compare last, mark and index prices in a worked crypto example, then separate activation from execution and liquidation.
Read article
High Trading Volume, Thin Liquidity: Why a Busy Market Can Still Be Hard to Trade
Compare two crypto order books with equal spreads but different depth. Work through a ten-token buy to see why high trading volume does not guarantee a better fill.
Read article
Which Daily Close? Why Candle Timezones Change Technical Setups
Compare UTC and UTC+8 daily crypto candles from the same data. Learn why candle boundaries change closes, confirmation times and indicator inputs—not just labels.
Read article
Ed Seykota: Following a System Through Losing Streaks
Separate a losing trade from a rule violation. Ed Seykota’s own writings introduce a four-case exercise for reviewing system execution, risk and reasons to pause.
Read article