Copy everything in the box below into a Claude Desktop chat. It assumes you have a
brokerage MCP connected in Claude Desktop (IBKR, Alpaca, Tradier, Tastytrade, ...).
Replace the TICKER / strikes / contracts up top. It will analyze first, pick the
FIRST side off the live 5-minute trend, and then flip you side-to-side as the trend
reverses, reading the ticket back before every order. It never trades without your
explicit "go". Despite the skill name this is NOT a held strangle: you hold ONE side
at a time and rotate, you never sit long both wings.
| #!/usr/bin/env python3 | |
| """ | |
| fetch_my_afterhour_posts.py — grab your ENTIRE AfterHour post history in one go. | |
| No login. No API key. No app. Just your username. | |
| Turns out AfterHour's post feed is powered by a public API that anyone can call — | |
| you don't need to be logged in, and you don't need this script to be fancy. It just | |
| asks AfterHour for your posts, 100 at a time (that's the most it'll hand over in one | |
| request), and keeps asking for "the next 100" until it has everything. Then it saves |
| #!/usr/bin/env python3 | |
| """ | |
| 🚀 Multi-Bagger DNA Screener — The "Find It Before The Analysts" Scanner | |
| Companion piece to Forefront Alpha's "How To Find a Multi-Bagger" series. | |
| He sells the framework: be EARLY, before the headlines, before the analysts, | |
| before the crowd. His named winners — IREN at $7, APLD at $6 — were all small, | |
| under-covered, fast-growing names BEFORE Wall Street showed up. | |
| This screener reverse-engineers that DNA into something you can actually run on |
A nightly GitHub Actions loop that reads a SPEC.md, plans its own backlog, and ships
one feature per run as a pull request. Built on the official
anthropics/claude-code-action.
Two roles, auto-selected: initializer (turns your spec into an ordered
feature_list.json) and coder (builds the next pending feature, runs tests first,
opens a PR). One long-lived branch, one PR, so you don't wake up to a thousand branches.
A small public gist for Substack creators who want to research other Substacks systematically instead of doom-scrolling them.
Two files:
pull_substack_data.py— fetches the public archive + notes for any Substack handle. No auth required, justpip install requests.research_substack_prompt.md— a Claude Code-style prompt that takes the JSON the script produces and writes a dossier in a clean reusable format: profile, last N posts, last N notes, followed-hyperlinks, lineage analysis, takeaways.
| """ | |
| pulse.py — Mine engagement signals from your Substack network. | |
| For each profile you follow: | |
| 1. Pull recent posts (within WINDOW_DAYS) | |
| 2. Compute the author's typical engagement baseline (median over the window) | |
| 3. Flag posts that significantly outperformed their author's baseline | |
| 4. Tag outliers by topic via Gemini | |
| 5. Output a digest: which topics are over-performing in your network right now |
Full read-and-write Substack toolkit that works around the private-API gotchas Substack will not document for you.
substack-toolkit is a Claude Skill and a small standalone Python library for working with Substack from the outside. Post drafts from Markdown or a Python builder. Read your reader feed, the published archive of any publication, individual posts, profiles, and other users' Notes. Publish Substack Notes. Like and comment with explicit, side-effect-aware methods. Single file, two deps, MIT.
Write:
| # ══════════════════════════════════════════════════════════════════════════════ | |
| # MASTER MAP: underlying → list of 2x bull ETFs and 2x bear ETFs | |
| # | |
| # Sources: | |
| # [D] = Direxion | |
| # [G] = GraniteShares | |
| # [R] = REX Shares / T-REX / Tuttle Capital | |
| # [Df] = Defiance ETFs | |
| # | |
| # Only includes SINGLE-STOCK 2x ETFs, not index/sector/commodity products |
| // This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International | |
| // https://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| // © BigBeluga | |
| //@version=6 | |
| // 👨🏫 MPH NOTE: //@version=6 tells TradingView's servers which version of the Pine Script language to use. Different versions have different features and rules, so this line is essential for the script to run correctly. | |
| // This script is an implementation of a two-pole filter used as an oscillator. | |
| // Unlike a simple moving average, a two-pole filter provides a very smooth output | |
| // with minimal lag, which makes it ideal for creating responsive oscillators. |
| // This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International | |
| // https://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| // © BigBeluga | |
| //@version=6 | |
| // 👨🏫 MPH NOTE: //@version=6 tells TradingView's servers which version of the Pine Script language to use. Different versions have different features and rules, so this line is essential for the script to run correctly. | |
| // This script is an implementation of a two-pole filter used as an oscillator. | |
| // Unlike a simple moving average, a two-pole filter provides a very smooth output | |
| // with minimal lag, which makes it ideal for creating responsive oscillators. |