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GitHub creator profile

AlphaGBM

Repository-level view of 30 collected skills across 2 GitHub repositories, including approximate occupation coverage.

skills collected
30
repositories
2
occupation fields
2
updated
2026-05-27
occupation focus
Major fields detected across this creator.
repository explorer

Repositories and representative skills

#001
skills
29 skills47677updated 2026-05-27
97% of creator
alphagbm-buffett-analysis
Software Developers

Warren Buffett-lens scorecard for any ticker. Scores 4 dimensions 0-100 each (business / circle of competence, moat / durable advantage, management / capital allocation, valuation / fair price vs 10Y treasury) and returns a weighted overall HOLDABLE / WATCHABLE / AVOID verdict. This is NOT a generic fundamental screener — it's Buffett's specific framework mechanically applied: sector simplicity, gross margin + ROE + profit margin thresholds, FCF yield vs treasury, and dividend-continuity as management proxy. Triggers: "Buffett analysis AAPL", "score KO with Buffett lens", "would Buffett buy MSFT", "JNJ Buffett scorecard", "AAPL moat analysis", "fair price vs bonds", "Buffett-style verdict on NVDA", "long-term hold analysis"

2026-05-27
alphagbm-marks-cycle
Software Developers

Howard Marks-style market cycle position 0-100, with 0 = panic bottom (hard offense) and 100 = euphoric top (hard defense). Blends VIX (40%) + SPY IV Rank (25%) + Put/Call ratio (20%) + valuation percentile (15%) into a single number and maps to an offense-vs-defense posture. Free endpoint, no auth, 5-min cache — the goal is to make "where are we in the cycle" a one-call lookup. Triggers: "where is the market in the cycle", "Howard Marks style cycle read", "am I supposed to be offensive or defensive", "is this a buying cycle", "cycle position right now", "Marks cycle score", "sentiment read for SPY"

2026-05-27
alphagbm-tepper-signal
Software Developers

Quantified version of David Tepper's 2009 (+132%) and 2020 (+82%) panic-buy playbook. Detects whether current conditions match Tepper's signal: VIX ≥ 35 AND FearScore ≥ 80 AND quality filter (large-cap, positive margin). Only fires during genuine market panics — the rest of the time it returns the "waiting" state, which is ~80% of all days per Tepper's own framework. The API reuses our existing FearScore module, so the signal is directly comparable to the multi-indicator panic index. Triggers: "is this a Tepper buy signal", "panic-buy detector SPY", "should I buy the panic", "Tepper style entry check", "are we at a panic bottom", "is VIX 35+ and fear 80+", "historical bottom signal today"

2026-05-27
alphagbm-bps-backtest
Data Scientists

Full walk-forward Bull Put Spread backtest over ~8 years of daily history. Runs both the signal (FearScore ≥ 60 entry) version AND a no-signal control in the same request, so you can quantify whether the fear-entry rule actually delivers alpha for this ticker under your parameters. Returns equity curve, 4 KPIs (annualized return / win rate / max drawdown / Sharpe), trade ledger, and a plain-language takeaway. Triggers: "backtest BPS on QQQ", "bull put spread backtest", "does FearScore work on SPY", "what DTE for BPS", "optimal bull put spread delta", "BPS strategy backtest", "credit spread backtest", "backtest short put spread"

2026-04-24
alphagbm-duan-analysis
Financial & Investment Analysts

Duan-Yongping-style seller playbook for any ticker: Sell Put at your "willing buy" price, Covered Call for yield enhancement, and a Panic-Buy context read off current VIX. The response is three tightly-scoped analysis cards — not a generic options screener — derived from the specific framework that made Duan Yongping famous in Chinese retail investing (seller-only, rent-collection logic, never a buyer of options). Triggers: "Duan Yongping style AAPL", "sell put NVDA willing to buy at 120", "covered call yield TSLA", "should I sell AAPL put here", "seller strategy MSFT", "Duan-style analysis", "premium collection setup", "nationalist seller playbook"

2026-04-24
alphagbm-earnings-crush
Financial & Investment Analysts

Full earnings-season IV analysis: historical crush, implied move forecast, IV Rank strategy tag, and a priced Iron Condor quote ready to trade. Triggers: "earnings crush AAPL", "NVDA IV before earnings", "implied move MSFT", "iron condor for META", "IV rank AAPL earnings", "earnings play TSLA", "should I short premium before AMZN earnings", "post-earnings IV drop", "straddle before earnings", "pre-earnings strategy"

2026-04-24
alphagbm-fear-score
Data Scientists

Per-ticker panic index (0-100) that weights six real signals: VIX, IV Rank, RSI-14, options volume anomaly, Put/Call ratio, and consecutive-down days. Scores ≥ 60 trigger a Bull Put Spread entry signal. Based on the FearDesk methodology; tested at ~10.8% annualized ROC for BPS entries on signal vs ~3.5% unconditional. Triggers: "fear score QQQ", "is NVDA oversold", "panic index SPY", "BPS signal TSLA", "is it fear time", "BPS entry timing", "when to sell put", "is AAPL panic", "contrarian entry signal", "oversold reading", "VIX plus RSI"

2026-04-24
alphagbm-hedge-advisor
Personal Financial Advisors

Scenario-driven hedge recommendations for an existing stock position. Takes ticker + cost basis + purpose, auto-classifies the holding situation (falling knife / bottom-fishing / gain-protection / normal) and returns concrete Long Put, Collar, or Tier-down recommendations with live strikes and premiums from the current option chain. Triggers: "hedge my AAPL", "protect my NVDA gains", "collar strategy MSFT", "long put for TSLA", "how to hedge falling knife COIN", "reduce risk BABA", "lock in gains META", "downside protection", "portfolio hedge", "insurance for position"

2026-04-24
Showing top 8 of 29 collected skills in this repository.
#002
investment-masters
1 skills10929updated 2026-05-27
3.3% of creator
Showing 2 of 2 repositories
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AlphaGBM GitHub Skills | SkillsMP