Dynamic Stop Loss Strategy Implementation — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Dynamic Stop Loss Strategy Implementation (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
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.
entry_price - (entry_price * 0.002)).entry_price + (entry_price * 0.002)).df['Open'].iloc[-2]).entry_price * (1 + 0.002)).entry_price, df (DataFrame with 'Open' column), and a get_current_price(symbol) function.client.new_order for execution.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.