Prismatic Research / The journal
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Original analysis from the Compendium, alongside clear explanations of portfolios, trading styles and evidence. Built to inform your research.
How to Use the Algo Consistency Index in Your EA Review
A practical workflow for reading strategy-family conditions, checking data freshness and investigating EA performance with the Algo Consistency Index.
A Benchmark Is Not a Trading Signal: Lessons from ACI's Tests
Learn why tracking an algo family does not establish prediction, and how to test a proposed regime filter without confusing revised history with live evidence.
Same Markets, Different Bets: What 6,572 Trading Algo Records Reveal
EURUSD leads both strategy families in a 6,572-record research catalog. Compare instrument choices and the limits of the documented sample.
6,572 Trading Algo Records—and a Problem Hiding in the Labels
Two broad categories contain much of the trend-following and mean-reversion research. What do those labels reveal—and leave unresolved?
Can an EA Win 90% of Its Trades and Still Lose Money?
A 90% win rate can still lose money. Two simple examples show why the size of winners and losers belongs beside the percentage.
Can You Trust an EA with a Backtest Profit Factor Above 5?
A backtest profit factor above 5 deserves context. Check losing trades, selection of settings, trading costs and independent evaluation.
How to Read a Trading Algorithm: Rules, Risk and Evidence
Explore the Compendium’s trading families and learn which entry, exit and sizing questions to resolve before testing an algorithm.
How to Audit an Algo Description Before Backtesting
Use a four-step source audit to check entry, exit and sizing rules. Learn what filled and missing Compendium fields actually establish.
How to Build an Algo Portfolio: Five Risk Checks
Compare loss timing, shared exposure, sizing and execution before combining trading algorithms. Includes a worked example and a review checklist.
How to Check EA Results: Backtests, Demo and Live
Identify what produced an EA result, compare its assumptions and record the evidence still missing before you evaluate a trading robot.
How to Choose Trading Algorithms for a Research Shortlist
Use markets, trading style, trade frequency and rule clarity to build a research shortlist before comparing performance claims.
A growing research index of trading ideas, utilities and portfolio tools. Each article identifies its analysis scope and source date. Indexed does not mean independently tested.
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