Ib Trailing Stop logo

Ib Trailing Stop

Community
staskh
ib-trailing-stop

Server-side trailing stop management for stocks and naked LEAPS in IB. Places native TRAIL orders that auto-ratchet the stop as price climbs. Dry-run by default. Requires TWS or IB Gateway running locally.

Overview

Publisherstaskh
Repositorytrading_skills
Skill nameib-trailing-stop
Stars
386
Forks
86
Bundled files
1
LicenseMIT
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by staskh on GitHub. Read the source before you install it.

Installation

Install the Ib Trailing Stop AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/staskh/trading_skills/tree/main/.claude/skills/ib-trailing-stop
  4. 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.
2

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/staskh/trading_skills.git /tmp/trading_skills
mkdir -p .claude/skills
cp -r /tmp/trading_skills/.claude/skills/ib-trailing-stop .claude/skills/ib-trailing-stop
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ib Trailing Stop 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 Ib Trailing Stop 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 Ib Trailing Stop 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.

IB Trailing Stop Manager

Places IB native TRAIL orders against stocks and naked LEAPS in the portfolio. IB auto-adjusts the stop trigger as the price climbs and locks it as price falls.

PMCC positions are intentionally excluded — use ib-stop-loss for those (a standalone trailing stop on the PMCC long leg would break the hedge at trigger).

Default mode is dry-run — no orders are placed unless --execute is in the request.

IB Connection

TWS or IB Gateway must be running locally with API enabled:

  • Paper trading — port 7497
  • Live trading — port 7496
  • IB_PORT env var — default port when --port is omitted (e.g. IB_PORT=4001 for a Gateway container). Precedence: --port flag > IB_PORT > built-in default. Set it in the shell or a .env file.

Port fallback: If the configured port fails, automatically retry on the other port. If the retry succeeds, save to memory which account type worked (live/paper) and reuse it for all IB skill calls in this and future sessions — until the user explicitly asks for the other account. If both ports fail, ask the user to verify that TWS or IB Gateway is running with API access enabled.

Instructions

Step 1: Run the script

Dry-run (default — no orders placed):

bash
uv run python .claude/skills/ib-trailing-stop/scripts/trailing_stop.py --symbols JOBY --trail-pct 20

Execute (cancel orphan TS_ orders + place new TS_ TRAIL orders):

bash
uv run python .claude/skills/ib-trailing-stop/scripts/trailing_stop.py --symbols JOBY --trail-pct 20 --execute

Execute forced (cancel + replace existing TS_ orders with current parameters):

bash
uv run python .claude/skills/ib-trailing-stop/scripts/trailing_stop.py --execute --forced

Step 2: Format the report

Format JSON output as a markdown report with three sections:

Section 1: Existing TRAIL Orders

Show all_trail_orders.module (TS_ orders) and all_trail_orders.manual (manually placed). If orphan_orders is non-empty, warn that these were cancelled (execute mode) or need manual cancellation (dry-run).

Section 2: Positions

For each entry in positions, show a table:

FieldValue
SymbolJOBY — stock (1000 shares)
Spot$7.50
Reference$7.50 (max of current $7.50, avg cost $5.00)
Trail params20% (initial stop $6.00) → action: place_new
Existing trailnone

For LEAPS rows, also show the option leg (strike/expiry) and current option mark.

action values:

  • place_new — no existing TS_ order; one will be created in execute mode
  • preserve_existing — TS_ already in place; left alone (IB has been tracking the high)
  • overwrite — --forced is on; existing TS_ will be cancelled and replaced
Section 3: Order Results (execute mode only)

Per-position result with order_id and order_ref.

Step 3: Report to user

  • State dry-run vs execute mode prominently.
  • Lead with positions that have action: place_new (these are about to get a new TRAIL).
  • Call out preserve_existing separately so user knows nothing changed.
  • Show existing trail details (current trail_stop_price) so user knows where IB has trailed to.

Arguments

FlagDefaultDescription
--port7497IB Gateway/TWS port
--accountallSpecific account ID
--symbolsallAnalyze only these symbols
--trail-pct20Trail amount as percentage of reference
--trail-amt—Trail amount in dollars (mutually exclusive with --trail-pct)
--price-modemidOption pricing: mid or last (LEAPS only)
--executeoffCancel orphans + place TS_ TRAIL orders
--forcedoffCancel and replace existing TS_ orders (requires --execute)

JSON Output Structure

json
{
  "generated_at": "2026-05-29 10:00 ET",
  "data_delay": "real-time",
  "dry_run": true,
  "forced": false,
  "trail_pct": 20.0,
  "trail_amt": null,
  "accounts": ["U1234567"],
  "symbols_filter": ["JOBY"],
  "all_trail_orders": {"module": [], "manual": []},
  "orphan_orders": [],
  "positions": [
    {
      "symbol": "JOBY",
      "type": "stock",
      "account": "U1234567",
      "qty": 1000,
      "underlying_price": 7.50,
      "stock": {
        "avg_cost": 5.00,
        "current_price": 7.50
      },
      "trail_stop": {
        "trail_pct": 20.0,
        "trail_amt": null,
        "reference": 7.50,
        "initial_stop_price": 6.00,
        "action": "place_new",
        "existing_trail": null
      }
    }
  ]
}

Key Behaviors

  • Reference price = max(current_price, avg_cost) — locks in profit when above cost, never starts below entry.
  • Forced mode uses current_price as the reference (can place an initial stop below entry, useful when re-arming after a drawdown).
  • Existing TS_ orders are preserved by default because IB has been ratcheting the trail since placement — replacing would reset that tracked high. Use --forced to deliberately reset.
  • Scope: stocks + naked LEAPS only. PMCC positions are excluded; use ib-stop-loss for those.

Order Identification

  • TS_{SYM}_{STRIKE}_{EXPIRY}_{RIGHT} — naked LEAPS TRAIL orders (right is C or P so calls and puts on the same strike/expiry don't collide)
  • TS_{SYM}_STK — stock TRAIL orders

Architecture

All analytics live in src/trading_skills/broker/trailing_stop.py:

Analytics (no IBKR — testable in isolation):

  • calc_trail_reference — max(current_price, avg_cost) normally; current_price if forced
  • calc_initial_trail_stop_price — reference × (1 − trail_pct/100) or reference − trail_amt
  • identify_trailable_positions — stocks + naked LEAPS; PMCC excluded
  • build_trail_analysis — full per-position output dict
  • detect_orphan_trail_orders — TS_ TRAIL orders for gone positions
  • summarize_all_trail_orders — splits IB TRAIL orders into module vs manual

Data layer (IBKR):

  • get_trailing_stop_data — main entry point
  • _cancel_orphan_orders — cancel stale TS_ orders
  • _place_simple_trail_order — native TRAIL order on stock or option
  • _execute_position_trail — dispatch per position type

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ib Trailing Stop AI skill do?

Server-side trailing stop management for stocks and naked LEAPS in IB. Places native TRAIL orders that auto-ratchet the stop as price climbs. Dry-run by default. Requires TWS or IB Gateway running locally.

Why use Ib Trailing Stop on TypingMind?

Because you install it once and use it with any model. Ib Trailing Stop 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 Ib Trailing Stop in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/staskh/trading_skills/tree/main/.claude/skills/ib-trailing-stop. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ib Trailing Stop?

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 Ib Trailing Stop?

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

Is the Ib Trailing Stop AI skill free?

Yes. It is published on GitHub by staskh 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇