Roadmap
I. Strategy Optimization
We're advancing our core trading system to provide users with a complete trading experience:
Intelligent Trading Signal System
Signal Trading: Market timing detection, providing precise trading signals
AutoTrade: Automated order execution, implementing quantified trading strategies
Smart Position Management
Multi-dimensional analysis, intelligent position size optimization
Automated risk control, quantified investment management
Strategy Diversification
To meet different investment needs, we will offer:
Smart timing strategies: Stable returns, long-term growth
Mixed analysis strategies: Capture market trends
Futures strategies: Capture wave opportunities
Event-driven strategies: Identify market opportunities
Asset allocation indicators: Optimize trading timing
II. Product Evolution
1. Major Version
Basic Function Navigation:
Signal function launch
Automated trading signal completion system
Smart Upgrade:
Diversified solutions
User classification recommendation mechanism
Social interaction feature enhancement
Comprehensive Enhancement:
Automated profit realization
Operation process optimization
Factor strategy expansion
Creative strategy introduction
2. AI Customized Fund
AlphaPilot v2.0 will introduce AI customized fund services, based on risk preferences and market conditions, to create personalized investment portfolios.
III. Community
Knowledge Sharing
Beyond providing quantitative trading analysis courses, we'll open-source related resources on GitHub, enabling everyone to become quantitative trading experts.
Community Activities
Through private community interactions, we'll attract more users to participate in the platform, building an active quantitative trading community. We'll launch a dedicated digital platform combining AI and quantitative technology, allowing individual traders to achieve financial freedom.
Through continuous innovation, AlphaPilot will bring more intelligent, personalized quantitative trading experiences, making our shared future trading journey possible!
Last updated