Alphagbm Earnings Crush

Q: Why use Alphagbm Earnings Crush on TypingMind?

Because you install it once and use it with any model. Alphagbm Earnings Crush is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

Q: How do I install Alphagbm Earnings Crush in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-earnings-crush. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Alphagbm Earnings Crush?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

Q: How many AI models can I use with Alphagbm Earnings Crush?

As many as you like. As long as a model supports skills, you can use Alphagbm Earnings Crush with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the Alphagbm Earnings Crush AI skill free?

Yes. It is published on GitHub by AlphaGBM under the MIT license. You only pay your own AI provider for the tokens you use.

Q: What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

Q: How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

CommunityPopular

AlphaGBM

alphagbm-earnings-crush

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"

Overview

Publisher	AlphaGBM
Repository	`skills`
Skill name	`alphagbm-earnings-crush`
Stars	2.7K
Forks	290
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by AlphaGBM on GitHub. Read the source before you install it.

Installation

Install the Alphagbm Earnings Crush AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/AlphaGBM/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/alphagbm-earnings-crush .claude/skills/alphagbm-earnings-crush

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alphagbm Earnings Crush in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Alphagbm Earnings Crush on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Alphagbm Earnings Crush is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AlphaGBM Earnings IV Panel

Everything you need for earnings week — historical IV crush + forward-looking implied move + IV Rank strategy recommendation + a priced Iron Condor centered on the implied move — in a single API call.

What This Skill Does

Concept	Description
IV Crush	The sharp drop in implied volatility after an earnings announcement
Average Crush %	Mean IV decline from pre-earnings peak to post-earnings trough (last 8 quarters)
Implied Move ±X%	What options are pricing the earnings move to be, derived from ATM IV × √(DTE/365)
IV Rank	Current ATM IV percentile vs 20-day HV over 2y — drives strategy recommendation
Strategy Recommendation	IV Rank > 70 → short-IV plays (Iron Condor); < 30 → directional (Long Call/Put); 30-70 → wait
Iron Condor Quote	Ready-to-trade 4-leg spread with short strikes at ±1× implied move, concrete credit / max profit / max loss / breakevens
Historical comparison	How implied move compared to actual move across past 8 earnings

How to Use

Input: A ticker with upcoming or past earnings.

Output:

Days to next earnings (if scheduled)
Current stock price + ATM IV + IV Rank
Implied Move ±X% and ±$Y — most quoted number during earnings season
Recommendation tag (🔥 short IV / wait / directional) with zh/en copy
Iron Condor pricing — 4 strikes + credit + max profit + max loss + breakeven bounds (Pro tier)
Last 8 quarters: pre-earnings IV / post-earnings IV / crush % / actual move / straddle PnL
Avg crush % and straddle win rate

Example Queries:

earnings crush AAPL — Full crush history + next earnings IM
implied move NVDA — What the options are pricing for next earnings
iron condor for META — Priced-ready short-premium setup
IV rank MSFT earnings — Strategy tag + recommendation
should I short premium before TSLA — Recommendation + IC quote
straddle pnl AMZN last 8 quarters — Historical short-premium win rate

Mock Data

Mock data files are in mock-data/earnings-crush/:

aapl-crush-history.json — 8 quarters of AAPL crush + implied move + IC
nvda-crush-history.json — Same for NVDA
crush-summary.json — Aggregated crush statistics across tickers

API Endpoint


GET /api/options/earnings-crush/{symbol}

Query parameters:

quarters (int, default 8) — Number of past earnings to analyze
include_straddle_pnl (bool, default true) — Include straddle P&L simulation
include_iron_condor (bool, default true) — Include Iron Condor quote (Pro tier in UI)

Response fields (headline numbers):

next_earnings, days_to_earnings, current_atm_iv, current_stock_price
implied_move_pct — e.g. 5.1 means market prices ±5.1% move
iv_rank_pct — 0-100 percentile; feeds recommendation.level
recommendation — {level: 'high'|'mid'|'low'|'unknown', iv_rank_pct, recommendation_zh, recommendation_en}
iron_condor — {short_call, long_call, short_put, long_put, credit, max_profit, max_loss, breakeven_up, breakeven_down, wing_width_pct}
crush_history[], avg_crush_pct, avg_actual_move_pct, straddle_win_rate
quarters_analyzed, timestamp

Pricing: 1 option-analysis credit per call; cache hits (same symbol/params within 5 min) are free.

Related Skills

Skill	Relevance
alphagbm-iv-rank	Current IV percentile — is pre-earnings IV already elevated?
alphagbm-options-strategy	Strategy recommendations that factor in earnings timing
alphagbm-vol-surface	Term structure kink around earnings expiration

Powered by AlphaGBM — Real-data options & research intelligence. 10K+ users.

Frequently asked questions

What does the Alphagbm Earnings Crush AI skill do?

Why use Alphagbm Earnings Crush on TypingMind?

Because you install it once and use it with any model. Alphagbm Earnings Crush is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Alphagbm Earnings Crush in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-earnings-crush. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Alphagbm Earnings Crush?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Alphagbm Earnings Crush?

As many as you like. As long as a model supports skills, you can use Alphagbm Earnings Crush with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Alphagbm Earnings Crush AI skill free?

Yes. It is published on GitHub by AlphaGBM under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AlphaGBM Earnings IV Panel

What This Skill Does

How to Use

Mock Data

API Endpoint

Related Skills

Frequently asked questions

Related AI Skills

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