This article introduces five open-source stock trading tools—funds, ZVT, QUANTAXIS, StockAnalysisSystem, and match-trade—detailing their authors, star counts, features, and repository links, offering developers practical resources to build or enhance their own trading applications.
This tutorial shows how to fetch ten years of stock fundamentals using Tushare, compute a probabilistic "temperature" metric with NumPy and SciPy, and visualize the temperature alongside closing prices in Matplotlib, providing a complete end‑to‑end Python data‑analysis workflow.
This article reviews how natural language processing is used in financial investment analysis, summarizing case studies from Two Sigma, BlackRock, UC Berkeley and other institutions that apply topic modeling, event extraction and sentiment analysis to improve portfolio performance and achieve excess returns.
This article explores the probability of successful bottom‑buying in the stock market by building a data model, using Python to scrape fund data, analyzing individual and multiple funds, and visualizing results to reveal that only about one in four attempts succeed.
This article examines federated learning’s wide‑range application prospects in healthcare, mobile internet, and finance, analyzes the technical and regulatory challenges of deploying such systems, and explains the concrete implementation steps for horizontal and vertical federated learning architectures.
In this interview, Ming Xiyuan, Technical Solutions Director at iKangSheng, shares practical guidance on selecting and deploying high‑availability MySQL solutions for the financial sector, covering planning pitfalls, hardware considerations, key configuration parameters, and the company’s product roadmap.
The 2019 Data Technology Carnival in Beijing featured a presentation by iKesheng on how a private MySQL‑based RDS solution was designed, deployed, and operated in a state‑owned bank, covering node integration, operational standards, high‑availability scenarios, and multi‑site disaster recovery.
The article reports on Ant Financial’s participation in ICML 2019, highlighting a finance‑focused AI workshop and summarizing three of its cutting‑edge research papers on adversarial reinforcement‑learning recommendation, distributional gradient temporal‑difference learning, and particle‑flow Bayesian inference.
This article details how 51 Credit Card leverages artificial intelligence to build a personalized recommendation system, covering business pain points, technical challenges, a three‑layer tagging architecture from bill and app data, model deployment pipelines, and real‑world growth case studies that boosted conversion and ROI.
The article explores how big data and artificial intelligence are reshaping finance through automated risk management, advanced customer data handling, personalized services, predictive analytics, and real‑time analysis, highlighting practical methods, benefits, and future trends for financial institutions.
This article presents a collection of Alipay’s system architecture diagrams, illustrating key components such as settlement, customer service, processing, fund management, and finance, offering a valuable reference for understanding the platform’s backend design despite the limited data timeframe.
The article reviews the limitations of mainstream deep‑learning models in finance, proposes hybrid tree‑based and Wide&Deep architectures combined with attention, sensitivity and variance analysis to improve interpretability and low‑frequency event detection, and validates the approach with a large‑scale insurance recommendation case study.
The Suning Blockchain White Paper, unveiled on July 20, details Suning’s blockchain architecture, multi‑scenario applications in retail, logistics, finance and culture, and includes expert commentary from university professors, positioning blockchain as a key driver for trust, data protection and smart retail ecosystem development.
The article explains how blockchain technology is poised to transform investment operations and financial markets over the next decade, citing early adopters like Northern Trust and ASX, discussing regulatory challenges, and highlighting perspectives from industry leaders on efficiency, transparency, and disruption.
This article summarizes Dr. Pei Dan's 2018 GOPS Shenzhen presentation on AIOps in traditional sectors, especially finance, covering industry outlook, AIOps concepts and value, practical deployment directions, common concerns, a recent challenge competition, and future prospects for autonomous IT operations.
This article explains the fundamental concepts of blockchain—including distributed storage, peer‑to‑peer transmission, consensus mechanisms and cryptography—illustrates its advantages such as cost reduction and transparency, compares it with cloud computing, and discusses its impact across industries while noting upcoming events.
This tutorial walks through using Python and pandas to fetch Yahoo Finance data, visualize stock prices with line and candlestick charts, and apply moving‑average techniques—including 20‑day, 50‑day, and 200‑day averages—to identify trends and build simple trading signals, all while emphasizing that the content is for educational purposes only and not investment advice.
This article uses simple comic-style illustrations to explain the fundamentals of blockchain technology, its fault‑tolerant peer‑to‑peer network, its role as a low‑cost trusted environment for the sharing economy, and its potential impact on finance and distributed computing.
The article summarizes the 2017 China AI Conference’s Intelligent Finance forum, featuring Ant Group’s AI director Li Xiaolong’s presentation on AI‑driven financial services, academic perspectives on AI‑finance research, and detailed case studies of intelligent customer service, credit scoring, and AI architecture.
This article explains what big data is, outlines its 5V characteristics, and showcases numerous real‑world applications such as personal finance monitoring, tax fraud detection, healthcare prediction, public opinion tracking, precise marketing, product development, traffic planning, strategic decision‑making, and credit scoring.
This article provides a comprehensive overview of blockchain technology, covering its definition, the three core technical elements—p2p networking, consensus algorithms, and cryptography—its potential applications in finance, value internet, and sharing economy, as well as notable open‑source projects and the current Chinese landscape.
This article explains how GF Securities built a customized Lambda/Kappa‑style big‑data platform that integrates CEP, Spark, Flink and Kafka to deliver low‑latency stock price alerts, real‑time news, and capital‑flow trading strategies for the finance industry.
The article compiles detailed notes from the 2015 Internet+ Big Data Summit, highlighting how data monetization reshapes advertising, drives financial analytics, improves operational efficiency, and strengthens security, while presenting real‑world case studies, models, and practical recommendations from industry experts.
This article examines JD.com's unique heavy‑asset e‑commerce model, its logistics network that halves product handling, financial services that lower transaction costs, and rural strategies that apply the same efficiency principles to agriculture, illustrating how cost reduction and speed drive its competitive advantage.
