Why market-data timestamps and freshness matter
Distinguish event, exchange, provider, receipt, and display times so a current-looking number is not mistaken for executable or contemporaneous data.
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Insights
Sourced explanations and practical research methods for individual investors and active traders.
What makes a backtest trustworthy
A trustworthy backtest preserves the information available at each date, exposes assumptions and costs, and survives tests it was not optimized to win.
Read articleUnderstanding refinery stocks and crack spreads
Use crack spreads as transparent market indicators, then account for crude quality, product yields, operating costs, utilization, and location.
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Understanding European natural gas markets
A source-led map of the interacting supply, demand, infrastructure, and expectation variables behind European wholesale gas prices.
Read articlePosition sizing with ATR and defined risk
Understand what average true range measures, how it can scale a hypothetical risk unit, and why it cannot guarantee exits or define suitability.
Read articlePortfolio concentration and scenario testing
Look through ticker counts to economic exposures, then use transparent shocks to find where correlated losses and liquidity needs may cluster.
Read articleHow ChartCompass uses AI, sources, and privacy boundaries
A practical checklist for verifying generated market explanations, separating sources from synthesis, and reviewing data handling before sharing sensitive context.
Read articleExplaining market moves without confusing correlation and cause
A practical evidence ladder for describing what moved, what changed nearby, and how much confidence a causal explanation deserves.
Read articleEarnings, guidance, and analyst revisions
Separate reported results, management's forward ranges, market expectations, and subsequent analyst revisions before explaining a reaction.
Read articleComparing stocks with different business models
Start with how each company earns cash, then normalize accounting definitions, capital needs, cycles, and risks before comparing valuation multiples.
Read articleCombining technicals, fundamentals, and news
Use price behavior, company economics, and dated events as separate lenses that answer different questions instead of forcing them into one score.
Read articleBuilding a decision-useful market watchlist
Turn a list of tickers into a dated research queue with a question, evidence, invalidation condition, next catalyst, and explicit status.
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