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The earlier chapters taught you to read the market, build a system, and recognize risk. This chapter answers a different
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01 · A Panorama of Market Data Software
Next lesson · 17 · Tools & Platforms
The earlier chapters taught you to read the market, build a system, and recognize risk. This chapter answers a different question: what to use for looking, where to get data, which platform to trade on, and in what environment to run your research.
"A craftsman must sharpen his tools before he can do good work." This chapter covers market data software, data platforms, broker selection, analysis tools, and runtime environments in one pass — but the emphasis is on "how to choose," not "how to use": there are hundreds of similar tools, and what most people lack is never a feature list but a decision table for choosing based on your own needs.
Disclaimer: All content on this site is for learning and research only and does not constitute any investment advice. Markets carry risk; invest with caution.
From THS, Eastmoney, and TDX to Wind, iFinD, Binance, TradingView, and Yahoo Finance — who each of the four classes of market data tools serves, their pitfalls, and how to combine them. Includes essential knowledge about candlestick charting engines (TradingView's dominance, lightweight-charts, klinecharts), echoing the charting side of Chapter 10 - System Integration.
Data is the starting point of research. Where the free/paid line falls for AKShare/Tushare/JoinQuant/RiceQuant/Wind, where to get historical quotes, where to look up macro and industry data, where to read research reports, what alternative data is — ending with a zero-cost research toolkit.
"Where you trade" directly determines your costs and safety. The landscape of A-share commissions (1-3 bps), futures margin and fee rebates, licensing and fund flows for HK/US brokers, KYC and compliance status of crypto exchanges — plus a safety checklist that works no matter which account you open.
Upgrading "watching the market" into "reproducible analysis." Advanced TradingView usage, what TDX formulas can do, Excel review sheets, a Python analysis workflow (connecting to Chapter 15 - Quant Practice), the uses and limits of AI-assisted report reading — and the scripting principle of "logic first, code second."
When your scripts need to run 24×7, hardware and operations determine success or failure. How to choose servers at home and abroad, whether 2C4G is enough, how to use systemd/cron/pm2, how to push alerts, how to handle time zones, how to guard API keys — with a cost-and-security baseline for a personal quant server.
① 01-Market data software panorama (know your tools first)
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② 02-Data & research platforms (build the data foundation for research)
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③ 03-Broker & futures broker selection (choose the trading channel)
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④ 04-Analysis & scripting (turn methods into reproducible processes)
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⑤ 05-Runtime & automation environment (put those processes into a 24×7 environment)
⚠️ Risk Warning
Tool and platform choices directly affect fund safety and trading costs, but no tool makes money for you: golden crosses drawn by software, perks gifted by platforms, and vendor APIs can all become instruments of misleading marketing. Everything here is for learning and research only and does not constitute investment advice. Verify platform credentials and the latest rules yourself before opening accounts, depositing funds, or trading. Markets carry risk; invest with caution.
工具与平台篇 · 随堂测
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Classifies market data software by market and purpose, explains the strengths of free tools and professional terminals, and gives a multi-software workflow.
A layered tour of quant data sources, historical quotes, macro and industry data, and research reports, with a zero-cost research toolkit.
A comparison across four channel types — A-share brokers, futures brokers, HK/US brokers, and crypto exchanges — with safety checklists.
From TradingView to a Python workflow, making analysis reproducible — the right way to script your analysis.
From server selection to deployment, operations, and a security baseline — keeping quant scripts running stably and automatically for the long term.
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18 · Financial Statements Deep Dive
Financial reports are letters companies write to their shareholders — and also a stage for fraudsters. This chapter teac