Why crypto prices differ across exchanges: an executable comparison
Compare crypto prices across venues using matching assets, quote currencies, timestamps and trade sizes, then account for costs and settlement constraints.
Read the analysis →RESEARCH AND PRACTICE
Editorial insights
Practical research workflows for market data, execution and honest crypto performance measurement.
USDC and USDT quotes: separating coin returns from currency effects
Learn how quote-currency changes affect crypto returns, compare USDC and USDT pairs consistently, and keep trading costs separate from valuation.
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Closed candles versus live candles: avoiding hindsight in crypto analysis
Understand candle confirmation, publication time and full-bar evaluation so a live crypto observation is not mistaken for a closed-candle forecast.
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Crypto WebSocket data quality: gaps, ordering and safe recovery
Build a practical checklist for crypto market-data feeds: sequence gaps, duplicate updates, stale snapshots and recovery before signals resume.
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Crypto order size, tick size and minimum notional: a rounding audit
Check how exchange price increments, quantity steps and minimum order values can change a planned crypto trade before any order is submitted.
Read the analysis →Stress-testing crypto trade size against a changing order book
Estimate execution across order-book levels, then test smaller sizes and reduced depth without confusing a snapshot with guaranteed liquidity.
Read the analysis →Crypto execution shortfall: from decision price to actual fills
Audit the gap between a crypto decision and its fills, separating market movement, execution prices, fees and the opportunity cost of unfilled quantity.
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Point-in-time crypto backtests: avoiding survivor and availability bias
Reconstruct the market universe and information actually available at each decision, including removed tokens, listing changes and delayed data.
Read the analysis →Walk-forward crypto validation when forecast horizons overlap
Use chronological evaluation with mature labels, purged overlaps and separate calibration so repeated crypto forecasts do not leak future outcomes.
Read the analysis →Calibrated crypto probabilities: reliability, Brier score and base rates
Evaluate whether a crypto probability means what it says using a defined target, reliability groups, proper scoring rules and honest out-of-sample evidence.
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Crypto correlation and concentration: when many positions are one exposure
Measure crypto concentration using aligned returns, changing correlations and stress scenarios rather than assuming different tickers provide diversification.
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Coin-count gains versus cash returns: auditing a sell-and-rebuy cycle
Track coin units, residual cash and fees through a sell-and-rebuy cycle, and compare both coin accumulation and reporting-currency wealth with holding.
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