precise-t-tradingProfessional T+0 intraday trading system for Chinese A-shares. Uses Bayesian inference, Kelly criterion, and VaR risk management to optimize day-trading deci...
Install via ClawdBot CLI:
clawdbot install yang77160/precise-t-tradingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Report → https://github.com/your-repo/issuesCalls external URL not in known-safe list
https://github.com/your-repo/issuesAI Analysis
The skill's stated purpose involves fetching real-time quotes from Tencent Finance (qt.gtimg.cn), which is documented and consistent. However, the rule-based signals indicate it also sends data to an undocumented external endpoint, which is a potential data exfiltration risk that cannot be fully verified from the provided snippet alone.
Audited Apr 16, 2026 · audit v1.0
Generated May 12, 2026
A user wants to analyze a specific stock for T+0 trading opportunities. The skill fetches real-time quotes, computes expected value, Bayesian win rate, and technical score, then outputs a clear buy/sell decision with price zones.
A user sets up the stock_monitor.py script to automatically check specified stocks every 60 minutes. The system logs alerts when prices hit predefined support or resistance levels, enabling timely trading actions.
A user opens the dashboard.html file to view real-time prices and trading signals in a browser. The auto-refreshing dashboard provides an at-a-glance overview of multiple stocks, supporting quick decision-making.
A user applies the Kelly criterion and VaR calculations to determine optimal position size and downside risk. The skill enforces conservative caps and daily stop-loss rules to protect the portfolio during volatile sessions.
A user replaces mock historical data with real T+0 records to backtest the strategy. By adjusting parameters like Bayesian weight (α) and support/resistance levels, the user can validate the system's edge before live trading.
Offer tiered monthly subscriptions (Basic, Pro, Enterprise) providing access to the trading system, with higher tiers including more stock slots, priority support, and advanced analytics like backtesting.
License the skill to online brokerages or fintech apps as a value-add feature. The skill generates trade signals that users can execute directly within the platform, increasing user engagement and trading volume.
Package the skill with structured online courses, webinars, and one-on-one coaching on T+0 trading and quantitative risk management. Provide lifetime access to the tool for course participants.
💬 Integration Tip
Integrate with broker APIs to automate trade execution based on the system's signals, and consider adding a paper trading mode for risk-free strategy testing.
Scored May 12, 2026
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