Research
Best and worst trading indicators in the offline backtest corpus
Compare technical indicators by median Sharpe in the available September NexusTrade archive, with sample counts, outcome dispersion, drawdown and reproducible cohort rules.
Explore →Five dividend growers: rules and three completed backtests
Inspect an existing five-stock dividend strategy, its original rules, costs and three completed historical periods, including its longer-period loss relative to SPY.
Explore →Genetic strategy optimization: search, fitness and validation
Work through a trading-strategy genetic search: define genes, choose fitness, limit trials and freeze the candidate before testing later dates.
Explore →How to reproduce a public ownership research result
Inspect a real Berkshire disclosure and preserve its filing versions with a bounded SDK query and result manifest.
Explore →How to review changes in public ownership disclosures
Separate source filings, managed-list changes and scheduled research reviews using an actual public disclosure.
Explore →Lookahead bias: audit signals, filings and historical fills
Work through two timestamp mistakes that leak future information into a backtest, and record the data availability boundary before accepting a result.
Explore →Mean reversion vs momentum: what the existing corpus can compare
Compare buying weakness with buying strength using explicitly classified existing-corpus cohorts, complete-rule outcomes, assumptions and an actual strategy editor example.
Explore →Out-of-sample testing: prove which information was unseen
Check a trading strategy test with an information-boundary ledger, an exact frozen portfolio and a separate final holdout.
Explore →Portfolio risk indicators: read the path behind the return
Inspect portfolio and position controls in the offline corpus, calculate concentration from account values, and distinguish exposure limits from performance statistics.
Explore →Prevent strategy overfitting with a frozen research protocol
Build a research ledger before searching: freeze rules, trial budget, dates, baselines and a final holdout, then record what happens when a gate fails.
Explore →Selection bias in strategy research: keep the losers in the record
Audit a winner chosen from many trading strategies, separate fold-local choices from hindsight selection and record the complete candidate set.
Explore →Technical vs fundamental analysis: work through one Google decision
Read a dated Alphabet earnings example, inspect actual Google strategy rules and separate a business thesis from a price-based entry condition.
Explore →Trading condition rankings from the existing backtest corpus
Compare complete condition trees, operand assets, thresholds and allocation actions within dated ticker and execution cohorts from NexusTrade's existing offline backtest corpus.
Explore →Trading strategy overfitting: diagnose the evidence behind a curve
Distinguish a weak backtest from evidence of overfitting, inspect lost folds and count the searches that produced the winning strategy.
Explore →Trading strategy rankings from the existing backtest corpus
Compare complete stored strategy cohorts from NexusTrade's existing offline corpus by median Sharpe, Sortino, return, drawdown and paired benchmark excess return.
Explore →Walk-forward optimization with a real four-fold calendar
Preview a walk-forward plan in NexusTrade, inspect its training, validation, embargo and later test dates, and preserve each selected strategy.
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