Strategy Overview:
Objective: The NCSU_Strategy_2024_Q3 implements a sophisticated trend-following approach using SPY ETF constituents, combining momentum analysis with comprehensive risk management. The strategy aims to generate alpha through systematic security selection while maintaining strict risk controls and leverage limits.
Alpha Model (CalculateTrendIndicators):
- Analyzes 63-day historical price data to calculate compound returns
- Selects top 10% of securities based on positive momentum
- Implements momentum factor strategy with focus on consistent performers - Filters for only positive-returning securities to maintain quality
Risk Model (CalculateRiskParameters):
- Calculates individual security volatilities and historical returns - Annualizes volatility metrics using 252 trading days
- Monitors volatility extremes and average levels - Implements comprehensive data validation and quality checks Portfolio Construction (OptimizePortfolio):
- Uses return-to-volatility ratios for position sizing
- Implements maximum leverage constraint of 2.0x
- Applies position size limits and concentration constraints
- Normalizes weights to meet portfolio constraints - Monitors allocation statistics and position concentration Trade Execution (Execute_Trades):
- Prioritizes position reductions before increases
- Orders increases by size (smallest first)
- Optimizes capital utilization
- Implements smart order routing via SetHoldings
- Manages complete position exits efficiently
Rebalancing:
- Triggered by 4% deviation from equity high-water mark
- Implements complete portfolio reoptimization
- Updates risk parameters and position targets
- Executes trades efficiently to minimize impact
Investment Thesis: Trend Following:
- Focuses on momentum in large-cap, liquid stocks
- Uses 63-day lookback period for trend identification
- Selects securities showing positive compound returns
- Emphasizes consistent performers over volatile gainers Risk Management: - Implements strict position sizing limits
- Monitors drawdown via high-water mark -
Uses volatility-adjusted position sizing
- Applies leverage cap of 2.0x - Implements transaction cost consideration (0.1% per trade)
Quantitative Approach:
- Fully systematic trading strategy
- Uses compound returns for momentum calculation
- Implements risk-adjusted optimization
- Employs smart order routing and execution
- Maintains comprehensive performance monitoring Portfolio Monitoring:
- Tracks portfolio value against high-water mark
- Monitors individual position performance
- Implements automatic rebalancing triggers
- Maintains detailed logging of portfolio metrics
Universe Selection:
- Uses SPY ETF constituents
- Focuses on liquid, large-cap stocks
- Implements dynamic universe management - Handles security additions and removals systematically
Key Parameters:
- Lookback Period: 63 days
- Rebalance Threshold: 4%
- Maximum Leverage: 2.0x
- Initial Capital: $1,000,000
- Transaction Cost: 0.1% per trade
- Top Selection: 10% of universe
Quant League Competitions
Competition entry updated by Carolina Bolnykh
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
Quant League Competitions
Competition entry updated by Carolina Bolnykh
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
Quant League Competitions
Competition entry updated by Carolina Bolnykh
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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