mphinance

60 mods across 2 repositories, 45 stars between them.

mphinance/alpha-skills

Skill Claude CodeCodex

Use this skill to find high-quality dividend growth stocks (12%+ annual dividend growth, 1.5%+ yield) that are experiencing temporary pullbacks, identified by RSI oversold conditions (RSI ≤40). This skill combines fundamental dividend analysis with technical timing indicators to identify buying opportunities in strong…

19 4d ago A 78 tokens copy · 91% MIT

mphinance/alpha-skills

Skill Claude CodeCodex

Analyze historical downtrend durations and generate interactive HTML histograms showing typical correction lengths by sector and market cap.

19 4d ago A 27 tokens copy · 100% MIT

earnings-calendar

51

mphinance/alpha-skills

Skill Claude CodeCodex

This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above…

19 4d ago B 107 tokens copy · 100% MIT

mphinance/alpha-skills

Skill Claude CodeCodex

Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best…

19 4d ago A 83 tokens original MIT

mphinance/alpha-skills

Skill Claude CodeCodex

Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). The script outputs raw JSON or text; the assistant filters, assesses…

19 4d ago A 71 tokens copy · 98% MIT

mphinance/alpha-skills

Skill Claude CodeCodex

Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-strategy-pipeline Phase I. Use when users ask to turn hypotheses/anomalies into reproducible research tickets, convert validated ideas into strategy.yaml + metadata.json, or…

19 4d ago A 85 tokens copy · 100% MIT

mphinance/alpha-skills

Skill Claude CodeCodex

Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.

19 4d ago A 33 tokens copy · 100% MIT

edge-hint-extractor

56

mphinance/alpha-skills

Skill Claude CodeCodex

Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.

19 4d ago A 37 tokens copy · 100% MIT

mphinance/alpha-skills

Skill Claude CodeCodex

Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.

19 4d ago A 41 tokens copy · 100% MIT

mphinance/alpha-skills

Skill Claude CodeCodex

Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.

19 4d ago A 54 tokens copy · 100% MIT

mphinance/alpha-skills

Skill Claude CodeCodex

Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.

19 4d ago A 30 tokens copy · 100% MIT

mphinance/alpha-skills

Skill Claude CodeCodex

Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategydrafts/.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.

19 4d ago A 67 tokens copy · 100% MIT