Leading Stock Trading System
Short-term: buy market consensus, not cheap.
Leading Stock Trading System
Short-term: buy market consensus, not cheap.
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Description
A systematic evaluation v2.1 for short-term leading stock trading signals in A-shares. It follows a six-step process: market environment → main line confirmation → leading stock identification → state machine → signal matching → trading conclusion. The system employs a three-level warning system (S3) and layered risk management for base positions (flexible, swing, and medium-term base positions). It also supports adaptability analysis of ETF main position tools.
Related Skills
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Stock Review & Strategy v2.0
The Stock Investment Review Scoring and Strategy Optimization System reads the user's existing trading logs, account overview, position data, and market index information to automatically complete daily, weekly, monthly, or quarterly reviews. It not only calculates returns, positions, number of trades, and position changes, but also scores trading quality, operational discipline, account positioning, position control, risk handling, and strategy effectiveness. It identifies recurring trading issues and outputs executable stop-profit, stop-loss, position management, and strategy optimization suggestions for the next period.
Self-Evolving A-Share Rotation
This skill provides A-share investors with a comprehensive strategy management and evolution platform, helping you systematically execute, validate, and optimize your trading strategies. It can intelligently adjust your monthly rebalancing strategy based on market conditions, and through rigorous backtesting, continuously evaluate strategy performance and provide in-depth diagnostics to ensure your investment approach stays in sync with the market. Using real-time market data analysis, this skill accurately identifies the current market environment (such as trending, range-bound, or bear markets) and applies preset parameter sets for stock screening. It employs a multi-layer funnel approach, starting with fundamental hard metrics to technical timing, then rigorous individual stock value analysis, and actively seeks counterevidence to avoid blind decisions. Ultimately, you receive an auditable candidate stock list, each with detailed rule-hit explanations, ensuring transparent and traceable decisions. Beyond strategy execution, this skill also offers powerful strategy validation and evolution capabilities. It automatically tracks and backfills your trading signal performance, generating detailed strategy health reports including win rate, profit/loss ratio, and excess returns over the CSI 300. When a strategy underperforms, it intelligently triggers evolution suggestions, performs attribution diagnostics to identify problematic rules, and supports parameter adjustments after paper trading validation to continuously refine your investment strategy. Notably, after each strategy execution or validation, this skill scans US, Hong Kong, and A-share markets to provide 'cross-market high expected value opportunities' with structural advantages. These opportunities are based on a rigorous expected value framework and come with clear entry, stop-loss, target, and position suggestions, but are not automatically written to your trading log. They serve as decision support references, helping broaden your investment perspective.
Stock Picking Decision Engine
Every investor has experienced these moments: • 📝 Impulse buying that ends in regret — you see a stock rise for three days, your hand itches, you place an order, and end up buying at the top. • 🤔 Deciding without enough research — you read one analysis article and think you 'get it,' but you can't even explain how the company makes money. • 💸 Not knowing when to sell — you won't sell when you're winning, you can't accept selling at a loss, and in the end you get hurt on both sides. • 🎭 Being swept up by market sentiment — you panic when others panic, get greedy when others get greedy, and forever chase rallies and dump stocks on declines. • 🔄 Repeating the same mistakes — with no review system, every trade starts from scratch. The investment decision system was created to solve these problems. It is not a tool that helps you find reasons to buy; it is a decision brake system that helps you identify the moments when you 'shouldn't buy.' There is only one core principle: a good company ≠ a good stock.
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
