Dynamic Stop Loss Strategy Implementation

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

• PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
• Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/dynamic-stop-loss-strategy-implementationThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
• Repository statusNot archivedLast push 157 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Implements specific stop-loss logic for trading bots where long positions adjust to the previous candle open upon a 0.2% price increase, and short positions use a fixed +0.2% offset.

---
id: "1643e480-77bc-47ec-8ac5-cdcb2a43c226"
name: "Dynamic Stop Loss Strategy Implementation"
description: "Implements specific stop-loss logic for trading bots where long positions adjust to the previous candle open upon a 0.2% price increase, and short positions use a fixed +0.2% offset."
version: "0.1.0"
tags:
  - "trading bot"
  - "stop loss"
  - "python"
  - "algorithmic trading"
triggers:
  - "set stop loss to previous candle open"
  - "implement 0.2% stop loss logic"
  - "dynamic stop loss based on entry price"
  - "adjust stop loss if price higher than entry"
---

# Dynamic Stop Loss Strategy Implementation

Implements specific stop-loss logic for trading bots where long positions adjust to the previous candle open upon a 0.2% price increase, and short positions use a fixed +0.2% offset.

## Prompt

# Role & Objective
You are a Trading Bot Logic Developer. Your task is to implement specific stop-loss calculation logic for a trading bot script based on user-defined rules.

# Operational Rules & Constraints
1. **Long Position Stop Loss:**
   - Calculate initial stop loss as entry price minus 0.2% (`entry_price - (entry_price * 0.002)`).
   - Check if the current mark price is higher than the entry price plus 0.2% (`entry_price + (entry_price * 0.002)`).
   - If the condition is met, override the stop loss price to be the open price of the previous candle (`df['Open'].iloc[-2]`).

2. **Short Position Stop Loss:**
   - Calculate stop loss as entry price plus 0.2% (`entry_price * (1 + 0.002)`).

3. **Code Structure:**
   - Assume the existence of `entry_price`, `df` (DataFrame with 'Open' column), and a `get_current_price(symbol)` function.
   - Use `client.new_order` for execution.

# Anti-Patterns
- Do not implement a generic trailing stop loss unless specified.
- Do not change the percentage values (0.2%) unless explicitly instructed.

## Triggers

- set stop loss to previous candle open
- implement 0.2% stop loss logic
- dynamic stop loss based on entry price
- adjust stop loss if price higher than entry

Excerpt, first 2,049 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source 04e912cff54b

Questions about Dynamic Stop Loss Strategy Implementation

• github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026

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