285 lines
17 KiB
Markdown
285 lines
17 KiB
Markdown
# Tool Catalog
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This README catalogs the tools and resources in this directory. It is intended for humans and LLM agents to quickly identify what is available and when to use it.
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## Jurisdiction (set by member, 2026-09-01)
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- `workflows/` = **ICM** (Interpretable Context Methodology, per `workflows/ICM.md`). Member invokes these by name; human review gates between stages. MARI never applies ICM structure to live trade execution.
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- `runbooks/` = **MARI-native execution procedures.** This is how MARI runs when the member says "go" — no stage gates except the platform's own (Arm/Enter trade-action cards). Per MEMORY.md RUN RULES, the relevant runbook is read as the FIRST tool call at T+0 of any execution.
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## Catalog
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| Tool / Folder | Purpose | Key Files | When to Use |
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| --- | --- | --- | --- |
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| `runbooks/spy-0dte-scalp.md` | MARI-native e2e scalp procedure — T+0 gate, recon burst, schema-exact record, arm handoff, manage, stale-kill, post-mortem discipline. | `runbooks/spy-0dte-scalp.md` | FIRST tool call of every live scalp (per MEMORY.md RUN RULES). Not ICM — no stage gates. |
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| `workflows/tool-catalog-maintainer/` | Creates and maintains catalog READMEs for directories of tools/resources. | `SKILL.md`, `CONTEXT.md`, `references/catalog-format.md` | Use when asked to catalog, index, or update documentation for a folder of tools. |
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| `workflows/research-dfns/` | DFNS research folder — alerts logs, chat log, and TODO tracking from July 27, 2026. | `TODO.md`, `AlertsLog_*.txt`, `ChatLog_*.txt` | Use when reviewing or continuing DFNS research. |
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| `workflows/backtest-strategy/` | Orchestrates rules-based strategy backtesting for core styles using TTG data and a pure-Python engine. | `CLAUDE.md`, `CONTEXT.md`, `_config/`, `stages/`, `shared/`, `pyproject.toml` | Use when backtesting trading strategies needing review-gated workflow, data caching, and honest reporting. |
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| `workflows/scan-watchlist-for-equities/` | Scans equities for trade setups with confluence using a mechanical data-fetch script. | `CLAUDE.md`, `CONTEXT.md`, `_config/`, `shared/scripts/fetch_scan_data.py`, `stages/` | Use when scanning equities for confluence, generating mechanical data briefs, then interpreting for trade plans. |
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| `workflows/scan-watchlist-for-options/` | Scans options for trade setups with confluence using a mechanical data-fetch script. | `CLAUDE.md`, `CONTEXT.md`, `_config/`, `shared/` (CSV watchlists, `scan-watchlist.md`), `stages/` | Use when scanning options for confluence, generating mechanical data briefs, then interpreting for trade plans. |
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| `sources/260731-1330-credit-spread.md` | SPY Bull Put Credit Spread trade plan (0DTE, July 31, 2026). Sell $740 put / Buy $738 put spread. | `260731-1330-credit-spread.md` | Use for today's SPY options trade — bullish slow grind thesis. |
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| `sources/iron-condor-45dte.md` | SPX Iron Condor trade plan — 45DTE entry, 21DTE time exit, Schwab broker. | `iron-condor-45dte.md` | Use when setting up or managing SPX iron condor spreads. |
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| `sources/cha-martin-watchlist.ms.csv` | Cha Martin watchlist export (CSV) for ticker reference or scan filtering. | `cha-martin-watchlist.ms.csv` | Use for ticker watchlist reference or scan filtering. |
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| `sources/2026-08-11-SFY-IC-Debrief.md` | Debrief of a SPY Iron Condor trade on 2026-08-11 with observations and key takeaways. | `2026-08-11-SFY-IC-Debrief.md` | Use for reviewing past iron condor trades to learn and improve. |
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| `sources/HANDOFF_scan_workflow_scripts.md` | Documentation of the mechanical data-fetch script for scan workflows (API, MCP, output format). | `HANDOFF_scan_workflow_scripts.md` | Use when understanding or implementing the fetch_scan_data.py script. |
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| `sources/servers.md` | List of MCP servers available in the MARI environment (ttg-stocks, ttg-benzinga, etc.). | `servers.md` | Use when referencing which data servers are available for MCP tool calls. |
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| `sources/xpon-squeeze-2026-08-24.md` | XPON Short Squeeze — Premarket signal reconstruction (2026-08-24) with volume spike and squeeze mechanics. | `xpon-squeeze-2026-08-24.md` | Use for studying a micro-cap short squeeze setup and premarket signals. |
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| `tos-short-squeeze/` | Contains a TSV file for short squeeze scanning. | `ShortSqueezeScanner.tsv` | Use for scanning short squeeze opportunities using the provided TSV data. |
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| `backtest-workflow-PLAN.md` | Draft plan for a backtesting workflow (approved and built) describing architecture and stages. | `backtest-workflow-PLAN.md` | Use for understanding the design of the backtest-strategy workspace. |
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| `build-watcher.md` | Build spec/prompt for a scheduled 9EMA×VWAP cross alert watcher on MESU6 futures. | `build-watcher.md` | Use when building, reviewing, or resuming the MESU6 9EMA/VWAP cross scheduled-alert watcher (or as a template for a similar cross-based futures alert). |
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## Tools
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### `workflows/tool-catalog-maintainer/`
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**Purpose:**
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Creates and maintains a `README.md` catalog for a directory containing subfolders of tools, prompts, scripts, docs, workflows, skills, or other reusable resources. The README is a living catalog that improves over time.
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**Contents:**
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- `SKILL.md` — skill definition and workflow
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- `CONTEXT.md` — full context: inputs, process, outputs, verification
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- `references/catalog-format.md` — catalog README structure and cataloging rules
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- `output/` — generated artifacts
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**Use when:**
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You need to catalog, index, summarize, or update documentation for a folder of tools so humans or LLM agents can quickly choose the right resource.
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**Setup / dependencies:**
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None noted. Works with file read/write tools.
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**Notes:**
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Always use this tool when asked to catalog a directory — inspect subfolders, read their key files, and write the README using `references/catalog-format.md`.
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### `workflows/research-dfns/`
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**Purpose:**
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Research folder for DFNS (Digital Frontier Acquisition Corp.) — contains alert logs, chat transcripts, and tracking notes from July 27, 2026.
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**Contents:**
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- `TODO.md` — research tracking tasks
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- `AlertsLog_Mon Jul 27 2026*.txt` — alert logs (3 files)
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- `ChatLog_Mon Jul 27 2026.txt` — chat transcript
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**Use when:**
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Reviewing or continuing DFNS research. Note: per ticker tracking rule, DFNS should not be actively tracked unless a fresh positive reason arises.
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**Setup / dependencies:**
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None noted.
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### `workflows/backtest-strategy/`
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**Purpose:**
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Orchestrates rules-based strategy backtesting for core styles (SPY 0DTE credit spreads, single-leg equity/options day trades) using TTG data servers as the only market-data source and a local pure-Python engine.
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**Contents:**
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- `CLAUDE.md` — workspace identity and entry point
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- `CONTEXT.md` — workspace-level routing and stage description
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- `_config/` — stable references: `risk-params.md`, `strategy-spec-TEMPLATE.md`
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- `stages/` — five stage folders (00_clarify_strategy through 04_report) each with review gates
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- `shared/` — data cache (`shared/data/`) and engine scripts (`shared/scripts/`)
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- `pyproject.toml` — zero dependencies (stdlib-only)
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**Use when:**
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Backtesting trading strategies using TTG data, needing a review-gated workflow with data caching, honest reporting, and no look-ahead.
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**Setup / dependencies:**
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None noted (stdlib-only, zero installs; the operator manages packaging with `uv`). Market data comes ONLY from TTG data servers.
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**Notes:**
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Follows ICM.md — every stage ends at a review gate. Output is read and optionally edited before the next stage runs. Pure Python 3.12 stdlib (json, csv, sqlite3, statistics, math, datetime, urllib). No historical greeks/IV series; backtests are price/levels-driven.
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### `workflows/scan-watchlist-for-equities/`
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**Purpose:**
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Scans tickers for trade setups with confluence, using a mechanical data-fetch script to gather price/volume/bars/S-R data from TTG, producing a data brief for interpretation.
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**Contents:**
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- `CLAUDE.md` — workspace identity
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- `CONTEXT.md` — workspace routing and stage description
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- `_config/` — references such as ticker list, default parameters
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- `shared/scripts/fetch_scan_data.py` — stdlib-only Python script for fetching and computing mechanical data
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- `shared/` — watchlist CSVs (e.g., `cha-martin-watchlist.ms.csv`, date-named CSVs)
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- `stages/` — five stage folders (00_clarify through 04_summary_card)
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**Use when:**
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Scanning equities for trade setups with confluence, generating mechanical data briefs (no interpretation), then interpreting the brief for trade plans.
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**Setup / dependencies:**
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Python 3.11+, access to TTG data API via `MARI_MCP_CONFIG` environment variable. The fetch script is stdlib-only (urllib, json, etc.).
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**Notes:**
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The workflow includes a mechanical script (`fetch_scan_data.py`) that fetches and computes data without interpretation. Stages: 00_clarify (ask clarifying questions), 01_broad_filter (runs the script), 02_confluence_analysis, 03_trade_plan, 04_summary_card. The script writes `data_brief.md` and `raw_data.json` to `stages/01_broad_filter/output/`.
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### `workflows/scan-watchlist-for-options/`
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**Purpose:**
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Scans options tickers for trade setups with confluence using a mechanical data-fetch script similar to the equities version.
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**Contents:**
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- `CLAUDE.md` — workspace identity
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- `CONTEXT.md` — workspace routing and stage description (identical to equities version)
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- `_config/` — `trade_plan_template.md`
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- `shared/` — CSV watchlists (e.g., `cha-martin-watchlist.ms.csv`, date-named CSVs) and `scan-watchlist.md`
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- `stages/` — five stage folders (00_clarify through 04_summary_card)
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**Use when:**
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Scanning options for trade setups with confluence, generating mechanical data briefs, then interpreting the brief for trade plans.
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**Setup / dependencies:**
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Python 3.11+, access to TTG data API via `MARI_MCP_CONFIG` environment variable. The fetch script is stdlib-only.
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**Notes:**
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Very similar to the equities workflow but focused on options. The shared folder contains CSV watchlists and a `scan-watchlist.md` file. The mechanical script (if present) would fetch options data; verify the exact script name and location.
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### `sources/260731-1330-credit-spread.md`
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**Purpose:**
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Active trade plan for a SPY Bull Put Credit Spread (0DTE, July 31, 2026). Sell $740 put / Buy $738 put spread, targeting 20%+ profit with bullish slow grind thesis.
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**Contents:**
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- `260731-1330-credit-spread.md` — trade plan with entry, exit, profit target, stop loss, and monitoring notes.
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**Use when:**
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Executing or monitoring today's SPY options trade (July 31, 2026).
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**Setup / dependencies:**
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None noted. Trade-specific, not reusable.
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### `sources/iron-condor-45dte.md`
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**Purpose:**
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Trade plan for SPX Iron Condor through Schwab broker. 45DTE entry, 30-point wings, forced close at 21DTE. Includes profit target (25% of net credit), stop loss (50% of max loss), and monitoring cadence.
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**Contents:**
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- `iron-condor-45dte.md` — trade plan with entry, exit, risk management, and monitoring details.
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**Use when:**
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Setting up or managing SPX iron condor spreads with Schwab broker.
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**Setup / dependencies:**
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Schwab broker session required.
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### `sources/cha-martin-watchlist.ms.csv`
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**Purpose:**
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CSV export of a Cha Martin watchlist — likely contains tickers for scanning or monitoring.
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**Contents:**
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- `cha-martin-watchlist.ms.csv` — plain CSV with one ticker per line (or columns).
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**Use when:**
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Referencing tickers for scans, short squeeze candidates, or watchlist filtering.
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**Setup / dependencies:**
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None noted.
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### `sources/2026-08-11-SFY-IC-Debrief.md`
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**Purpose:**
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Debrief of a SPY Iron Condor trade on 2026-08-11, summarizing trade details, observations, key takeaways, and next times.
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**Contents:**
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- `2026-08-11-SFY-IC-Debrief.md` — trade summary, plan, observations, asymmetric structure notes, NL3 feed issue, key takeaways.
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**Use when:**
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Reviewing past iron condor trades to learn from observations and improve future trades.
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**Setup / dependencies:**
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None noted.
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### `sources/HANDOFF_scan_workflow_scripts.md`
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**Purpose:**
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Documentation of a mechanical data-fetch script for the scan-watchlist-for-equities workflow, detailing API facts, script design, environment, MCP protocol, verified responses, output format, and integration notes.
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**Contents:**
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- `HANDOFF_scan_workflow_scripts.md` — detailed handoff covering goal, design, environment facts, MCP-over-HTTP protocol, verified response shapes, data brief format, stitching into CONTEXT.md, verification targets, pitfalls, resume checklist, and current state.
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**Use when:**
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Understanding or implementing the `fetch_scan_data.py` script, or integrating mechanical data fetching into scan workflows.
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**Setup / dependencies:**
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None noted.
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### `sources/servers.md`
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**Purpose:**
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List of MCP servers available in the MARI environment for tool calls (e.g., market data, news, chat, etc.).
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**Contents:**
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- `servers.md` — plain list of server names: `chrome-devtools`, `mari-cell`, `ttg-benzinga`, `ttg-chat`, `ttg-crypto`, `ttg-economy`, `ttg-finviz-elite`, `ttg-forex`, `ttg-futures`, `ttg-holygrail`, `ttg-indices`, `ttg-options`, `ttg-platform`, `ttg-stocks`, `ttg-uw`.
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**Use when:**
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Referencing which data servers are available for MCP tool calls in workflows or scripts.
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**Setup / dependencies:**
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None noted.
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### `sources/xpon-squeeze-2026-08-24.md`
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**Purpose:**
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XPON Short Squeeze — Premarket signal reconstruction (2026-08-24) documenting a micro-cap short squeeze setup with volume spike, range break, premarket gap, and squeeze mechanics.
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**Contents:**
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- `xpon-squeeze-2026-08-24.md` — detailed analysis of the setup, premarket signal, squeeze mechanics, why it was flagged, what went wrong, risk assessment, and key takeaways.
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**Use when:**
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Studying a micro-cap short squeeze setup and premarket signals for scanning or education.
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**Setup / dependencies:**
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None noted.
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### `tos-short-squeeze/`
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**Purpose:**
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Contains a TSV file for short squeeze scanning, likely a precomputed list of candidates.
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**Contents:**
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- `ShortSqueezeScanner.tsv` — tab-separated values with columns likely including ticker, metrics, etc.
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**Use when:**
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Scanning for short squeeze opportunities using the provided TSV data as input or reference.
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**Setup / dependencies:**
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None noted.
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### `backtest-workflow-PLAN.md`
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**Purpose:**
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Draft plan for a backtesting workflow (approved and built) describing the architecture, stages, and rules for backtesting core styles using TTG data and a pure-Python engine.
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**Contents:**
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- `backtest-workflow-PLAN.md` — goal, architecture (data, engine, reporting layers), proposed workspace layout, stage contracts, decision points, known limitations, credit/cost profile, and out-of-scope items.
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**Use when:**
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Understanding the design of the `backtest-strategy` workspace or as a reference for building similar review-gated backtesting workflows.
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**Setup / dependencies:**
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None noted.
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### `build-watcher.md`
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**Purpose:**
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Prompt/spec for building a scheduled-alert watcher that fires on a 9EMA×VWAP cross for MESU6 (MES Sep 2026 front month). Signal: 9EMA on 3-minute bar closes (built from 1-minute bars) crossing session VWAP anchored at the 9:30 AM ET open. Cross up = long trigger, cross down = short trigger. Explicitly scoped as a scheduled-alert build, not a Holy Grail analysis.
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**Contents:**
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- `build-watcher.md` — signal definition, data-source rules, alert discipline, schedule parameters, and credit-cost note.
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**Use when:**
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Building, reviewing, or resuming work on the MESU6 9EMA/VWAP cross scheduled alert, or as a template for a similar cross-based futures alert watcher.
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**Setup / dependencies:**
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Requires the TTG futures MCP server (`futures_aggs` for bars, `futures_snapshot` for last price) and a Scheduled job runner. The SCHEDULE section (active window, hard stop, fire cap) contains bracketed placeholders in the current draft — these must be filled in before a job is created, and the confirm card must be reviewed and approved before creation.
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**Notes:**
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Fires only on an actual state change (no re-alerts); permanently silent after the watch ends or the fire cap is hit. Job pause/delete is user-owned via the Scheduled sidebar — the agent must never pause/delete it itself. Each fired alert costs ~50 Active Trader credits; polls are free.
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## Maintenance Notes
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When adding or updating a tool folder, update this README with:
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- purpose
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- key files and entry points
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- usage guidance
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- setup requirements
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- notable changes or cautions |