PWOL Research Evidence / 2024
2024 Alpha Research Archive
A structured map of 166 submitted Alpha studies from the IQC and MAPC research period: multi-source data, time-series transformations, cross-sectional ranking, exposure control, and conditional trading.
01 / Research system
Pengyi 166 is not a single price-volume strategy library. It records how different data families, operators, neutralization choices, and trading conditions were combined into testable hypotheses.
Market, sentiment, news, volatility, analyst, and alternative inputs.
Change, persistence, dispersion, decay, and rolling context.
Ranking, standardization, comparison, and group-relative expression.
Neutralization and exposure constraints before portfolio use.
Signals enter only when the research condition is active.
Review tiers
Construction language
02 / Research families
Each lens observes a different market mechanism. Together they reveal the archive's breadth.
Behavioral information
Tests whether collective language, attention, and behavioral intensity carry persistent cross-sectional information.
Market behavior
Studies momentum, reversal, participation, and state changes expressed directly through observable market behavior.
Information diffusion
Examines how public events propagate, decay, and become priced across securities and regions.
Volatility relative value
Uses volatility shape and relative dislocations as a different coordinate system for risk and return.
03 / Review frontier
Ranked by the internal public-safe review score. Historical platform metrics remain evidence to re-test, not claims of deployable performance.
04 / Complete index
Search by sanitized Alpha ID or filter by family, review grade, and region. Select a row for the complete public profile.
166 studies in the current view
Sorted by public-safe review score
05 / Validation path
The archive preserves historical platform observations while making every later validation gate explicit.
Preserve source context, taxonomy, failures, and review evidence.
Build independently governed inputs with known lineage and quality.
Rebuild the hypothesis and challenge it on fixed test protocols.
Measure interaction, capacity, turnover, and portfolio contribution.
Only validated signals reach risk budgeting and execution research.