Research Capabilities
QuantFlyer leverages its capabilities in large-scale models and automated feature engineering to continuously uncover valuable factors, rapidly iterate predictive models, and refine trading algorithms, which ensures that our strategies maintain consistent win rates and reliability.
Swipe down to explore
01.
Multidimensional
Quantitative Algorithm Capabilities
QuantFlyer delves deep into market factors by conducting single-factor research and automated feature engineering, extracting effective factors from a vast set of millions, and each factor is monitored for long-term effectiveness. The core team has a profound understanding of machine learning, deep learning, and other algorithmic models in the quantitative trading field. They develop differentiated models and strategies tailored to various stock pools based on different attribution types, ensuring optimal model performance and predictive accuracy for each stock category.
As general artificial intelligence continues to mature, QuantFlyer leverages large language models to perform rapid and efficient research analysis on news, announcements, financial reports, and research papers across all publicly listed companies. This enhances the entire quantitative system's factor analysis capabilities on a fundamental level, while also providing robust support for risk management and early warnings of unexpected events.
02.
Continuous
Investment inComputing Power Resources
We are consistently increasing our investment in computing resources and computational power by building high-performance distributed computing clusters. This involves enhancing overall computational performance across both software and hardware. We conduct 24/7 high-speed, high-frequency large-scale market data collection, followed by rapid data cleaning, processing, and storage, to accelerate the extraction of trading signals.
03.
Advanced
Research and Algorithmic Trading Platform
QuantFlyer's leading strategy engine platform enables the rapid, flexible, and efficient development of quantitative trading strategies, researchers can seamlessly implement their ideas through a modular and visual decision-making flow platform. The generated strategies can be submitted to QF's regression testing platform and performance analysis platforms for validation, where the system automatically provides suggestions for improvements, assisting researchers in refining their strategies.
Additionally, QuantFlyer boasts a top-tier, stable algorithmic trading system that simplifies and enhances the reliability of trading. All of this is integrated within the QF SMART TRADING PLATFORM.
Research Capabilities
QuantFlyer leverages its capabilities in large-scale models and automated feature engineering to continuously uncover valuable factors, rapidly iterate predictive models, and refine trading algorithms, which ensures that our strategies maintain consistent win rates and reliability.
Swipe down to explore
01.
Multidimensional
Quantitative Algorithm Capabilities
QuantFlyer delves deep into market factors by conducting single-factor research and automated feature engineering, extracting effective factors from a vast set of millions, and each factor is monitored for long-term effectiveness. The core team has a profound understanding of machine learning, deep learning, and other algorithmic models in the quantitative trading field. They develop differentiated models and strategies tailored to various stock pools based on different attribution types, ensuring optimal model performance and predictive accuracy for each stock category.
As general artificial intelligence continues to mature, QuantFlyer leverages large language models to perform rapid and efficient research analysis on news, announcements, financial reports, and research papers across all publicly listed companies. This enhances the entire quantitative system's factor analysis capabilities on a fundamental level, while also providing robust support for risk management and early warnings of unexpected events.
02.
Continuous
Investment inComputing Power Resources
We are consistently increasing our investment in computing resources and computational power by building high-performance distributed computing clusters. This involves enhancing overall computational performance across both software and hardware. We conduct 24/7 high-speed, high-frequency large-scale market data collection, followed by rapid data cleaning, processing, and storage, to accelerate the extraction of trading signals.
03.
Advanced
Research and Algorithmic Trading Platform
QuantFlyer's leading strategy engine platform enables the rapid, flexible, and efficient development of quantitative trading strategies, researchers can seamlessly implement their ideas through a modular and visual decision-making flow platform. The generated strategies can be submitted to QF's regression testing platform and performance analysis platforms for validation, where the system automatically provides suggestions for improvements, assisting researchers in refining their strategies.
Additionally, QuantFlyer boasts a top-tier, stable algorithmic trading system that simplifies and enhances the reliability of trading. All of this is integrated within the QF SMART TRADING PLATFORM.