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Black & White Path
Black & White Path
May 9, 2026 · Industry Insights

2025 Chinese Cybersecurity Stocks: Quality Trends, Bright Spots and Red Flags

A comprehensive analysis of 21 Chinese network‑security listed firms in 2025 reveals a sector‑wide decline in revenue and gross profit, highlights three firms with positive gross‑profit growth, exposes severe receivables and cash‑flow risks, and details two ST‑alert cases that signal both operational collapse and governance failure.

ChinaST alertscash flow
0 likes · 27 min read
2025 Chinese Cybersecurity Stocks: Quality Trends, Bright Spots and Red Flags
AI Explorer
AI Explorer
Apr 30, 2026 · Artificial Intelligence

How an LLM‑Powered Open‑Source Tool Automates Multi‑Market Stock Analysis

The article examines the open‑source "daily_stock_analysis" project, detailing its zero‑cost, fully automated architecture that integrates LLMs with multiple market data sources to generate a concise decision dashboard and push notifications via popular channels, dramatically reducing manual research time for investors.

AI automationGitHub ActionsLLM
0 likes · 7 min read
How an LLM‑Powered Open‑Source Tool Automates Multi‑Market Stock Analysis
Old Meng AI Explorer
Old Meng AI Explorer
Mar 1, 2026 · Industry Insights

Three Must‑Try Open‑Source Projects: AI Stock Analyzer, Awesome Navigator, and MetaGPT

This article introduces three rapidly rising GitHub open‑source projects—a LLM‑driven stock analysis tool, the massive "awesome" curated list, and the MetaGPT AI development framework—detailing their core features, deployment requirements, and why they offer low‑cost, high‑utility solutions for both beginners and seasoned developers.

AIAwesome ListGitHub
0 likes · 7 min read
Three Must‑Try Open‑Source Projects: AI Stock Analyzer, Awesome Navigator, and MetaGPT
Code Wrench
Code Wrench
Oct 5, 2025 · Backend Development

Build a Real‑Time Go Stock Analyzer with WebSocket & Vue Frontend

This article details version 3.0 of a Go‑based stock analysis system that adds sector classification, persistent watchlists, scheduled strategy evaluation, real‑time WebSocket market feeds, K‑line charting with technical indicators, a Vue front‑end, deployment steps, future roadmap, and a public GitHub repository.

Backend DevelopmentGoVue
0 likes · 7 min read
Build a Real‑Time Go Stock Analyzer with WebSocket & Vue Frontend
Code Wrench
Code Wrench
Oct 3, 2025 · Backend Development

Build a Go-Powered Automated Stock Screener with SQLite and Vue3 Visualization

This article presents version 2.0 of a Go-based stock analysis system that upgrades data storage to SQLite, adds MA/MACD indicators, modular strategy engines, daily scheduling, and a Vue3 front‑end, providing full code snippets, configuration examples, and deployment instructions.

AutomationGoSQLite
0 likes · 8 min read
Build a Go-Powered Automated Stock Screener with SQLite and Vue3 Visualization
Model Perspective
Model Perspective
Nov 17, 2022 · Fundamentals

How to Use an F-Test to Compare Stock Return Variances: A Step-by-Step Guide

This article explains the null and alternative hypotheses for one‑ and two‑tailed variance tests, demonstrates how to compute the F‑statistic and critical value, and walks through a practical example comparing the monthly return standard deviations of IBM and HP stocks, concluding that their variances are not significantly different.

F-testhypothesis testingstatistics
0 likes · 2 min read
How to Use an F-Test to Compare Stock Return Variances: A Step-by-Step Guide
Programmer DD
Programmer DD
Sep 17, 2020 · Big Data

5 Open‑Source Quant Trading Tools Every Developer Should Explore

Discover five open‑source stock‑trading utilities—funds, ZVT, QUANTAXIS, StockAnalysisSystem, and match‑trade—each offering real‑time data, backtesting, multi‑asset support, and high‑performance matching to help programmers build powerful quantitative finance applications.

Big DataPythonQuantitative Trading
0 likes · 5 min read
5 Open‑Source Quant Trading Tools Every Developer Should Explore
Python Crawling & Data Mining
Python Crawling & Data Mining
Jun 24, 2020 · Artificial Intelligence

How to Quickly Analyze and Predict Stock Prices with Python in 12 Minutes

This tutorial shows how to fetch historical stock data from Yahoo Finance using pandas, compute moving averages and returns, explore correlations among major tech stocks, engineer features, train linear, polynomial, and K‑Nearest‑Neighbour models with scikit‑learn, evaluate their accuracy, and visualize both historical prices and future forecasts, all in a concise, step‑by‑step guide.

Pythonscikit-learnstock analysis
0 likes · 17 min read
How to Quickly Analyze and Predict Stock Prices with Python in 12 Minutes
MaGe Linux Operations
MaGe Linux Operations
Jul 1, 2019 · Artificial Intelligence

How to Quickly Analyze, Visualize, and Predict Stock Prices with Python in 12 Minutes

This tutorial walks you through loading historical stock data from Yahoo Finance with pandas, computing moving averages and returns, comparing multiple tech stocks, engineering features, training linear, quadratic, and K‑Nearest‑Neighbor models using scikit‑learn, evaluating their confidence scores, and visualizing short‑term price forecasts—all in under a dozen minutes of reading and coding.

Data visualizationPythonpandas
0 likes · 15 min read
How to Quickly Analyze, Visualize, and Predict Stock Prices with Python in 12 Minutes
MaGe Linux Operations
MaGe Linux Operations
Dec 27, 2017 · Fundamentals

Visualizing Stock Data and Building K‑Line Charts with Python

This guide walks you through importing stock data, cleaning column names, visualizing price and volume trends, creating candlestick (K‑line) charts, analyzing relative changes, exploring correlations, and implementing a simple moving‑average trading strategy using pandas, matplotlib, and numpy.

Data visualizationK-LineMatplotlib
0 likes · 14 min read
Visualizing Stock Data and Building K‑Line Charts with Python