Quantify Boundary Brittleness
Identify tipping points where a fractional criteria step eliminates disproportionate fractions of candidate pools.
Track Cohort Migration
Measure persistent constituent retention versus ephemeral single-cutoff outliers through cross-threshold mapping.
Eliminate Redundant Constraints
Detect criteria combinations that mimic one another and artificially restrict result set breadth without predictive benefit.
Evaluating Screening Stability Through Controlled Parameter Variation
Quantitative screening routines frequently rely on fixed, historically arbitrary boundaries such as a 20-day breakout or a minimum average daily dollar volume. When market dynamics evolve, these rigid cutoffs either starve research models of candidates or overwhelm them with noisy constituents. The Criteria Shift Map Generator executes automated multi-stage parameter sweeps around each condition to determine whether your research candidates represent robust structural market phenomena or transient boundary coincidences.
Operating as a modular Python and PCF evaluation framework, the utility ingests candidate sets, steps through adjacent numerical thresholds, and compiles detailed constituent turnover tables. Researchers gain clear visibility into parameter cliff edges, filter overlap correlations, and cohort survival curves, enabling informed criterion tuning without guesswork.
Technical Specifications & System Parameters
| Specification Parameter | Value / Configuration | Application Context |
|---|---|---|
| Sweep Granularity | 0.1% to 10.0% Stepped Increments | User-configurable step scale tailored to price, volume, or indicator percentiles. |
| Processing Capacity | Up to 15,000 Securities per Run | Handles extensive historical watchlists and broad composite market universes. |
| Export Schema | Structured CSV, JSON & Static HTML Heatmap | Direct output format for notebook exploration, spreadsheets, or internal repositories. |
| Runtime Environment | Local Python 3.10+ / TC2000 PCF Scripts | Executes entirely on local workstation hardware with no external network reliance. |
Included Components & Documentation Scope
Shift Mapping Core Script
Executable Python module capable of executing sequential threshold sweeps and calculating Jaccard similarity indices across output cohorts.
TC2000 Condition Library
Modular Personal Criteria Formula (PCF) snippets pre-formatted for rapid bracket testing within the TC2000 charting environment.
Turnover Diagnostic Templates
Pre-built spreadsheet templates for tracking universe attrition rates, constituent migration, and filter interaction heatmaps.
Research Methodology Whitepaper
In-depth analytical guide outlining best practices for sensitivity testing, survivorship evaluation, and threshold calibration.
Three-Stage Implementation Protocol
Configure Baseline Conditions & Intervals
Set your primary screening formulas, specify the candidate universe, and designate lower, median, and upper parameter boundary brackets.
Run Automated Parameter Matrix Sweeps
Execute the mapping utility across the universe to systematically generate adjacent result sets for every incremental threshold step.
Evaluate Cohort Retention Diagnostics
Review generated displacement tables to isolate fragile criteria cliff edges and calibrate resilient screening ranges.
Frequently Asked Questions
Upgrade from Guesswork to Systematic Boundary Mapping
Verify the structural integrity of your screening criteria across every parameter iteration before relying on research outcomes.