Improving ETF Trading Strategies with XGBoost for 33.99% Annual Return

Improving ETF Trading Strategies with XGBoost for 33.99% Annual Return

↓Recommended Attention↓ Original: Combining Price Momentum and Crowding for Margin ETF Trading Strategies Source: China Galaxy Securities Research Institute 1. Introduction This article mainly introduces the trading strategies for margin ETFs. As an index tracking tool, ETFs have good asset allocation value. At the same time, by combining price diffusion and Minsky moments, the advantages … Read more

Using XGBoost in R for Machine Learning and Model Interpretation

Using XGBoost in R for Machine Learning and Model Interpretation

Author: Huang Tianyuan, currently a PhD student at Fudan University, with research involving text mining, social network analysis, and machine learning. I hope to share learning experiences and promote the application of R language in the industry. Email: [email protected] XGBoost is currently the best predictive solution based on tree models, and is worth exploring and … Read more

XGBoost Algorithm – Kaggle Case Study

XGBoost Algorithm - Kaggle Case Study

Author IntroductionIntroduction Su Gaosheng, graduated with a master’s degree in statistics from Southwestern University of Finance and Economics, currently working at China Telecom, mainly responsible for big data analysis and data modeling for existing enterprise customers. Research direction: Machine Learning, favorite programming language: R, no exceptions. E-mail: [email protected] Zero, Case Background Introduction and Modeling Idea … Read more

XGBoost Outperforms Deep Learning in Quantitative Trading

XGBoost Outperforms Deep Learning in Quantitative Trading

On Kaggle, 90% of fields including finance, tree models (like XGBoost) outperform deep learning neural network models. Let’s analyze the reasons. 01 Tree VS NN Deep learning neural network models excel in fields such as image processing and natural language, but in tabular data, such as OHLC candlestick data, neither neural networks nor transformers outperform … Read more

High-Scoring Model Solution in Machine Learning Competition Using XGBoost, LightGBM, and LSTM

High-Scoring Model Solution in Machine Learning Competition Using XGBoost, LightGBM, and LSTM

Programmers transitioning to AI are following this account👇👇👇 1 Data Exploration and Preprocessing 1.1 Competition Review Background As the world’s largest clean energy source, solar energy is renewable and non-polluting compared to coal and oil; as long as there is sunlight, there is solar energy. Therefore, the utilization of solar energy has been prioritized as … Read more

The Future of Citizen Science: Empowering Public Academia with AI

The Future of Citizen Science: Empowering Public Academia with AI

The Past Barriers: Why Citizen Academia Struggles In the past, engaging in academic research often presented various barriers to the public. Academic research seemed like an insurmountable mountain, blocking the path of many ordinary people. The reasons for this can be summarized as follows: 1. Difficulty in Accessing Academic Literature Before the internet became widespread, … Read more

Unlocking Intelligent Evolution in Big Data ML Workflows with Spark and LangGraph

Unlocking Intelligent Evolution in Big Data ML Workflows with Spark and LangGraph

In the wave of deep integration between big data and artificial intelligence, traditional machine learning workflows are showing signs of fatigue in the face of massive data! Don’t worry, the brand new intelligent Spark agent with the modular LangGraph framework is here! Deeply integrating Spark distributed computing, large language models, and innovative workflow architectures, it … Read more

Harnessing AI to Discover Original Content Value

Harnessing AI to Discover Original Content Value

Hello everyone, I am @Cellinlab, 🧚♂️ INFP to ENFJ | 💻 Independent Developer |🎙️ Podcast ‘Napping Until Dawn’ | 🤖 AGI Arrival Faction. Currently operating the ‘Nest-Level Individuals’ co-creation community, vision: to let more people see, believe, and become independent workers through a wealth of freelancer cases and methods, becoming super individuals 🦸♂️. With the … Read more

Step-by-Step Tutorial for Brain Imaging ML Models

Step-by-Step Tutorial for Brain Imaging ML Models

Please click on the four characters “Shanghai Siying” above to follow us. Siying Technology focuses on brain imaging data processing, covering (radiomics,fMRI, structural images, white matter hyperintensity analysis, PVS, PET, spectroscopy, DWI, DTI-ALPS, QSM, ASL, IVIM, DCE, DSC, oxygen extraction fraction (OEF) andCMRO2, BOLD-CVR, primate brain imaging, rodent brain imaging, microbiota, EEG/ERP, magnetoencephalography, FNIRS, eye … Read more

What Are AI Aggregation Tools? A Comparative Analysis

What Are AI Aggregation Tools? A Comparative Analysis

With the rapid development of artificial intelligence technology, AI aggregation tools have gradually become essential tools for various industries to improve efficiency and enhance intelligent services. AI aggregation tools can integrate multiple AI applications, providing users with one-stop intelligent services. So, what AI aggregation tools are available? In this article, we will compare several common … Read more