Тип стратегии

Factor & Alpha Trading Strategies

Quantitative Signal-Based Portfolio Construction

Factor and alpha strategies use quantitative signals derived from financial data to predict asset returns. These strategies exploit systematic risk premia and market inefficiencies through statistical factor models and signal-based portfolio construction.

5 алгоритмов2 библиотек

Как алгоритмы Фактор / Альфа связаны между библиотеками

📊Factor/Alpha
🔬
Microsoft Qlib3 algos
🤖
AI Hedge Fund2 algos
Alpha158intermediate
Alpha360intermediate
TopkDropoutStrategyintermediate
Warren Buffett Agentintermediate
Charlie Munger Agentintermediate

Как алгоритмы Фактор / Альфа работают вместе в торговой системе

1
📊

Factor Computation

Alpha signal generation

Technical indicators (158/360)
Fundamental factors
Alternative data signals
2
🎯

Asset Scoring

Cross-sectional ranking

Factor normalization
Composite score calculation
3
💼

Portfolio Construction

Position allocation

Top-K stock selection
Weight optimization
4
🔄

Rebalancing

Periodic adjustment

Scheduled rebalance
Drift threshold triggers
5
🛡️

Risk Control

Exposure management

Factor neutrality
Sector/industry constraints

Сравнение алгоритмов Фактор / Альфа по ключевым измерениям

Матрица сравнения алгоритмовНажмите на столбец, чтобы развернуть детали
Метрика
Alpha158Qlib (Microsoft)
Alpha360Qlib (Microsoft)
TopkDropoutStrategyQlib (Microsoft)
Warren Buffett AgentAI Hedge Fund
Charlie Munger AgentAI Hedge Fund
🎯Сложность⭐⭐⭐intermediate⭐⭐⭐intermediate⭐⭐⭐intermediate⭐⭐⭐intermediate⭐⭐⭐intermediate
📈Тип прогнозаСмешанныйСмешанныйСмешанныйСмешанныйСмешанный
Скорость обучения⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡
🎯Точность📊📊📊📊📊📊📊📊📊📊
💡Лучше всего дляОбщего назначенияОбщего назначенияОбщего назначенияОбщего назначенияОбщего назначения
Сложность:

Qlib (Microsoft)

Alpha158
Qlib (Microsoft)
Фактор / Альфаintermediate

Collection of 158 technical alpha factors including price, volume, and volatility features.

Скорость⚡⚡
Точность📊📊📊
Источник:qlib/contrib/data/handler.py
Alpha360
Qlib (Microsoft)
Фактор / Альфаintermediate

Extended collection of 360 technical alpha factors for comprehensive feature engineering.

Скорость⚡⚡
Точность📊📊📊
Источник:qlib/contrib/data/handler.py
TopkDropoutStrategy
Qlib (Microsoft)
Фактор / Альфаintermediate

Top-K stock selection with random dropout for portfolio diversification.

Скорость⚡⚡
Точность📊📊📊
Ключевые параметры
topk50Number of stocks to hold
n_drop5Number of stocks to randomly drop
Источник:qlib/contrib/strategy/signal_strategy.py

AI Hedge Fund

Warren Buffett Agent
AI Hedge Fund
Фактор / Альфаintermediate

Value investing agent analyzing intrinsic value, margin of safety, and fundamental metrics.

Скорость⚡⚡
Точность📊📊📊
Charlie Munger Agent
AI Hedge Fund
Фактор / Альфаintermediate

Quality analysis agent focusing on competitive moats, management quality, and business economics.

Скорость⚡⚡
Точность📊📊📊

Factor & Alpha Trading Strategies, справочник алгоритмов

Alpha158 (Qlib (Microsoft))
Collection of 158 technical alpha factors including price, volume, and volatility features. Источник: https://github.com/microsoft/qlib/blob/main/qlib/contrib/data/handler.py.
Alpha360 (Qlib (Microsoft))
Extended collection of 360 technical alpha factors for comprehensive feature engineering. Источник: https://github.com/microsoft/qlib/blob/main/qlib/contrib/data/handler.py.
TopkDropoutStrategy (Qlib (Microsoft))
Top-K stock selection with random dropout for portfolio diversification. Ключевые параметры: topk (Number of stocks to hold), n_drop (Number of stocks to randomly drop).Источник: https://github.com/microsoft/qlib/blob/main/qlib/contrib/strategy/signal_strategy.py.
Warren Buffett Agent (AI Hedge Fund)
Value investing agent analyzing intrinsic value, margin of safety, and fundamental metrics. Источник: https://github.com/virattt/ai-hedge-fund.
Charlie Munger Agent (AI Hedge Fund)
Quality analysis agent focusing on competitive moats, management quality, and business economics. Источник: https://github.com/virattt/ai-hedge-fund.