{"id":4810,"date":"2026-09-04T07:36:00","date_gmt":"2026-09-03T23:36:00","guid":{"rendered":"https:\/\/laoyulaoyu.com\/?p=4810"},"modified":"2026-08-31T10:37:08","modified_gmt":"2026-08-31T02:37:08","slug":"%e5%9b%9b%e6%ad%a5%e6%90%ad%e8%b5%b7ai%e9%87%8f%e5%8c%96%e7%a0%94%e7%a9%b6%e6%b5%81%e6%b0%b4%e7%ba%bf%ef%bc%9aobsidian%e7%ac%94%e8%ae%b0%e2%86%92%e6%af%8f%e5%a4%a9%e6%96%b0%e7%ad%96%e7%95%a5%e2%86%92","status":"publish","type":"post","link":"https:\/\/laoyulaoyu.com\/index.php\/2026\/09\/04\/%e5%9b%9b%e6%ad%a5%e6%90%ad%e8%b5%b7ai%e9%87%8f%e5%8c%96%e7%a0%94%e7%a9%b6%e6%b5%81%e6%b0%b4%e7%ba%bf%ef%bc%9aobsidian%e7%ac%94%e8%ae%b0%e2%86%92%e6%af%8f%e5%a4%a9%e6%96%b0%e7%ad%96%e7%95%a5%e2%86%92\/","title":{"rendered":"\u56db\u6b65\u642d\u8d77AI\u91cf\u5316\u7814\u7a76\u6d41\u6c34\u7ebf\uff1aObsidian\u7b14\u8bb0\u2192\u6bcf\u5929\u65b0\u7b56\u7565\u2192\u81ea\u52a8\u56de\u6d4b"},"content":{"rendered":"\n

\u4f5c \u8005\uff1a\u8001\u4f59\u635e\u9c7c<\/a><\/p>\n\n\n\n

\u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002<\/mark><\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
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\u5e02\u573a\u6709\u98ce\u9669\uff0c\u8bf7\u5408\u6cd5\u5408\u89c4\u6295\u8d44\u3002<\/p>\n<\/blockquote>\n\n\n\n

\u672c\u6587\u7ea6 2200 \u5b57 | \u9605\u8bfb\u9884\u8ba1\u9700 5\u00a0\u5206\u949f<\/p>\n\n\n\n

\u00b7 \u00b7 \u00b7<\/p>\n\n\n\n

\u65e9\u4e0a\u4e03\u70b9\u56db\u5341\u5206\uff0c\u65e9\u9910\u521a\u505a\u597d\uff0c\u6211\u7684\u7ec8\u7aef\u91cc\u5df2\u7ecf\u8eba\u7740\u4e00\u4e2a\u65b0\u6587\u4ef6\u3002<\/p>\n\n\n\n

\u56db\u5206\u949f\u524d\uff0cstrategy_research_20260807.ipynb \u751f\u6210\u5b8c\u6bd5\u3002Codex \u7684\u4e00\u4e2a\u5b50\u4ee3\u7406\u4ece\u6211\u7684 Obsidian \u7b14\u8bb0\u5e93\u91cc\u968f\u673a\u62bd\u4e86\u4e09\u7bc7\uff0c\u628a\u5b83\u4eec\u63c9\u6210\u4e00\u4e2a\u65b0\u7b56\u7565\uff0c\u5728SPY\u4e0a\u8dd1\u5b8c\u4e86\u56de\u6d4b\u3002<\/p>\n\n\n\n

\u6211\u6ca1\u6709\u78b0\u4e00\u884c\u4ee3\u7801\u3002<\/p>\n\n\n\n

\u8fd9\u4ef6\u4e8b\u6211\u575a\u6301\u4e86\u4e5d\u5341\u5929\uff0c\u4eca\u5929\u5c31\u548c\u5927\u5bb6\u8bf4\u8bf4\u6211\u662f\u600e\u4e48\u642d\u7684\uff0c\u4ee5\u53ca\u6211\u771f\u6b63\u5f97\u5230\u4e86\u4ec0\u4e48\u3002<\/p>\n\n\n\n

\u524d\u63d0\uff1a\u5148\u6709\u4e00\u4e2a\u7b14\u8bb0\u5e93<\/strong><\/h2>\n\n\n\n

\u8fd9\u4ef6\u4e8b\u80fd\u8dd1\u8d77\u6765\uff0c\u6838\u5fc3\u4e0d\u662f AI\uff0c\u662f\u7b14\u8bb0\u5e93\u3002<\/p>\n\n\n\n

\u6211\u7684 Obsidian \u91cc\u73b0\u5728\u6709\u4e00\u5343\u4e03\u767e\u591a\u7bc7\u7b56\u7565\u60f3\u6cd5\u3001\u6307\u6807\u539f\u7406\u3001\u98ce\u9669\u53c2\u6570\u3001\u522b\u4eba\u7684\u5e16\u5b50\u6458\u5f55\u90fd\u6709\uff0c\u8fd9\u4e0d\u662f\u5927\u5bb6\u60f3\u7684\u90a3\u79cd\u968f\u624b\u6536\u85cf\uff0c\u662f\u6211\u8ba4\u771f\u6574\u7406\u8fc7\u7684\u3002\u8fd9\u4e2a\u5e93\u662f\u6d41\u6c34\u7ebf\u7684\u71c3\u6599\uff0c\u6ca1\u6709\u5b83\uff0cAI \u65e0\u4ece\u5408\u6210\uff1b\u6709\u4e86\u5b83\uff0c\u5b83\u6bcf\u5929\u65e9\u4e0a\u80fd\u4ece\u4e03\u767e\u4e2a\u60f3\u6cd5\u91cc\u62c9\u51fa\u6ca1\u4eba\u4f1a\u4e3b\u52a8\u7ec4\u5408\u7684\u642d\u914d\u3002<\/p>\n\n\n\n

\u6240\u4ee5\u5982\u679c\u4f60\u8fd8\u6ca1\u5f00\u59cb\u5efa\u7b14\u8bb0\u5e93\uff0c\u5148\u505a\u8fd9\u4ef6\u4e8b\u3002AI\u5de5\u4f5c\u6d41\u662f\u5de5\u5177\uff0c\u4f60\u7684\u7b14\u8bb0\u662f\u8d44\u4ea7\u3002<\/p>\n\n\n\n

\u7b2c\u4e00\u6b65\uff1a\u7ed9\u5b83\u4e00\u4e2a\u4e13\u5c5e\u6587\u4ef6\u5939<\/strong><\/h2>\n\n\n\n
mkdir research<\/code><\/pre>\n\n\n\n
\u5c31\u8fd9\u4e00\u884c\uff0c\u8fd9\u662f\u56db\u6b65\u91cc\u6700\u7b80\u5355\u7684\u4e00\u6b65\uff0c\u4f46\u4e5f\u662f\u6700\u5bb9\u6613\u8df3\u8fc7\u7684\u3002\u4e13\u95e8\u7684\u9879\u76ee\u6587\u4ef6\u5939\u6709\u4e09\u4e2a\u597d\u5904\u662f\u6563\u4e71\u6587\u4ef6\u6c38\u8fdc\u4e0d\u4f1a\u6709\u7684\uff0c\u914d\u7f6e\u6587\u4ef6\u5728\u4e00\u4e2a\u5730\u65b9\uff0c\u6bcf\u6b21\u751f\u6210\u7684Notebook \u81ea\u52a8\u843d\u5728\u540c\u4e00\u4e2a\u76ee\u5f55\uff0c\u6574\u4e2a\u9879\u76ee\u53ef\u4ee5\u63d0\u4ea4\u5230 Git\u3002\u4e09\u4e2a\u6708\u540e\u4f60\u8fd8\u80fd\u56de\u7b54\u6211\u5f53\u65f6\u5728\u6d4b\u4ec0\u4e48\u3002<\/p>\n\n\n\n
\u6211\u7684\u8ba4\u77e5\u91cc\uff0c\u6587\u4ef6\u5939\u4e0d\u662f\u5b58\u50a8\u7a7a\u95f4\uff0c\u662f\u75d5\u8ff9\u3002<\/p>\n\n\n\n
\u7b2c\u4e8c\u6b65\uff1a\u5199\u4e00\u4e2a\u6559\u4f1a AI \u5e72\u6d3b\u7684 Skill<\/strong><\/h2>\n\n\n\n
\u4e0d\u7ba1\u662fCodex\u3001Cloud Code\u3001OpenCode\u8fd8\u662f\u5176\u4ed6\u7684AI\u5de5\u5177\uff0c\u5b83\u4eec\u4e0d\u61c2\u5e03\u6797\u5e26\uff0c\u4e0d\u61c2\u590f\u666e\u6bd4\u7387\uff0c\u4e0d\u61c2\u4efb\u4f55\u91cf\u5316\u6982\u5ff5\u3002\u4f46\u5b83\u4f1a\u5b66\u4e60\uff0c\u9760\u7684\u662f\u4f60\u628a\u5de5\u4f5c\u6d41\u5199\u6210\u6587\u6863\uff0c\u90a3\u4efd\u6587\u6863\u53eb Skill\uff0c\u4e00\u4efd\u5e26 YAML \u5934\u90e8\u7684 Markdown \u6587\u4ef6\u3002<\/p>\n\n\n\n
\u5927\u6982\u957f\u8fd9\u6837\uff1a<\/code><\/p>\n\n\n\n
---<\/code>name: quant-strategy-researcher<\/code>description: Reads trading research notes, synthesizes signal logic,<\/code>  generates a fully runnable Python Jupyter Notebook<\/code>  to backtest the strategy.<\/code>---<\/code><\/code># Quant Strategy Researcher & Notebook Builder<\/code>This skill instructs Codex to act as a Quantitative Trading Developer. It scans local<\/code>Obsidian vault notes for strategy ideas, risk rules, and indicator parameters, translates<\/code>them into vectorized Python code, and outputs a structured Jupyter Notebook (`.ipynb`)<\/code>ready for execution in VS Code.<\/code><\/code>## Workflow<\/code>1. Read Obsidian vault notes<\/code>2. Extract: asset class, signal logic, risk parameters<\/code>3. Formalize strategy mathematically<\/code>4. Generate a 5-cell Jupyter notebook:<\/code>   Cell 1 \uff0c Dependencies<\/code>   Cell 2 \uff0c Data (yfinance)<\/code>   Cell 3 \uff0c Indicators & vector signals<\/code>   Cell 4 \uff0c Vectorized backtest<\/code>   Cell 5 \uff0c Equity curve visualization<\/code><\/code><\/pre>\n\n\n\n
description \u90a3\u884c\u6700\u91cd\u8981\uff0cAI \u51b3\u5b9a\u8981\u4e0d\u8981\u52a0\u8f7d\u8fd9\u4e2aSkill\u5c31\u770b\u8fd9\u884c\uff0c\u5199\u5f97\u6a21\u7cca\u5b83\u5c31\u5f53\u4f60\u662f\u901a\u7528\u5de5\u5177\u3002\u53e6\u5916\u628a\u8fd9\u4e2a\u6587\u4ef6\u5939\u653e\u5230\u5168\u5c40\u8def\u5f84\u4e0b\uff0c\u4e00\u6b21\u914d\u7f6e\u597d\uff0c\u4ee5\u540e\u8fd9\u53f0\u673a\u5668\u4e0a\u4efb\u4f55\u9879\u76ee\u90fd\u80fd\u7528\u3002<\/p>\n\n\n\n
\u4e94\u4e2a cell \u5230\u5e95\u5728\u5e72\u4ec0\u4e48<\/strong><\/h3>\n\n\n\n
Skill \u91cc\u85cf\u4e86\u4e00\u4e2a\u4e94\u683c Notebook\uff0c\u6bcf\u4e00\u683c\u90fd\u662f\u72ec\u7acb\u4e00\u6b65\uff0c\u8fd9\u4e5f\u662f\u6574\u4e2a\u5de5\u4f5c\u6d41\u7684\u7cbe\u9ad3\u3002\u6211\u628a\u6bcf\u4e00\u683c\u62c6\u5f00\u8bb2\uff0c\u987a\u4fbf\u6807\u4e00\u4e0b\u56fd\u5185\u600e\u4e48\u843d\u5730\u3002<\/p>\n\n\n\n
Cell 1\uff0c\u4f9d\u8d56\u3002<\/strong><\/p>\n\n\n\n
 Install\/import required libraries: `pandas`, `numpy`, `yfinance` (or `vectorbt` \/ `backtrader`), `matplotlib` \/ `plotly`.<\/code><\/pre>\n\n\n\n
\u6700\u5f00\u5934\u90a3\u51e0\u884c import\uff0c\u628a pandas\u3001numpy\u3001yfinance \u8fd9\u4e9b\u5305\u5bfc\u8fdb\u6765\u3002\u56fd\u5185\u5982\u679c\u8d70 akshare\uff0c\u8fd9\u91cc\u5c31\u591a\u4e00\u884c import akshare as ak<\/code>\uff0ctushare \u5219\u662f import tushare as ts<\/code> \u518d\u52a0\u4e00\u4e2a token \u521d\u59cb\u5316\u3002\u8fd9\u683c\u6ca1\u4ec0\u4e48\u82b1\u5934\uff0c\u4f46\u5c11\u4e86\u5b83\u540e\u9762\u5168\u5d29\u3002<\/p>\n\n\n\n
Cell 2\uff0c\u6570\u636e\u3002<\/strong> <\/p>\n\n\n\n
Fetch historical market data using `yfinance` or load local OHLCV CSVs.<\/code>Sanitize missing values and ensure datetime indexing.<\/code><\/code><\/pre>\n\n\n\n
\u53ef\u4ee5\u7528 yfinance \u76f4\u8fde\u96c5\u864e\u8d22\u7ecf\uff0c\u56fd\u5185\u4e5f\u53ef\u4ee5\u6362 akshare\uff0c\u4e00\u884c\u4ee3\u7801\u5c31\u80fd\u628a\u6caa\u6df1 300ETF\u7684\u65e5\u7ebf\u62c9\u4e0b\u6765\uff0csymbol \u6362\u6210\u80a1\u7968\u4ee3\u7801\u5c31\u884c\u3002<\/p>\n\n\n\n
ak.stock_zh_a_hist(symbol=\"510300\", period=\"daily\")<\/code><\/pre>\n\n\n\n
\u60f3\u63a5\u5317\u5411\u8d44\u91d1\u3001\u884c\u4e1a\u8d44\u91d1\u6d41\u8fd9\u4e9b\u56fd\u5185\u72ec\u6709\u7684\u6570\u636e\uff0cakshare \u91cc\u4e5f\u90fd\u6709\u73b0\u6210\u63a5\u53e3\u3002<\/p>\n\n\n\n
Cell 3\uff0c\u6307\u6807\u548c\u4fe1\u53f7\u3002<\/strong> <\/p>\n\n\n\n
Calculate technical indicators programmatically using Pandas\/NumPy.<\/code>Compute vector signals: `1` (Long), `-1` (Short), `0` (Cash\/Hold).<\/code><\/code><\/pre>\n\n\n\n
\u771f\u6b63\u5c5e\u4e8e”\u5408\u6210”\u7684\u4e00\u683c\u3002\u5b83\u628a\u7b14\u8bb0 A \u7684\u8d8b\u52bf\u8fc7\u6ee4\u3001\u7b14\u8bb0 B \u7684\u5e03\u6797\u5e26 %B\u3001\u7b14\u8bb0 C \u7684 ATR \u6b62\u635f\u4e09\u4e2a\u96f6\u4ef6\u62fc\u6210\u4e00\u5957\u5177\u4f53\u4e70\u5356\u4fe1\u53f7\u3002\u4e00\u4e2a\u7b14\u8bb0\u53ea\u8d21\u732e\u4e00\u4e2a\u96f6\u4ef6\uff0c\u4e09\u4e2a\u96f6\u4ef6\u624d\u662f\u4e00\u4e2a\u5b8c\u6574\u7b56\u7565\u3002<\/p>\n\n\n\n
Cell 4\uff0c\u5411\u91cf\u5316\u56de\u6d4b\u3002<\/strong> <\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u7528 NumPy \u5bf9\u6574\u4e2a\u5386\u53f2\u533a\u95f4\u4e00\u6b21\u6027\u7b97\u5b8c\uff0c\u4e0d\u5199\u5faa\u73af\u3002\u590f\u666e\u3001\u6700\u5927\u56de\u64a4\u3001\u80dc\u7387\u5c31\u6446\u4e0a\u684c\u4e86\u3002<\/p>\n\n\n\n
Compute strategy returns, equity curve, Sharpe Ratio, Max Drawdown, and Win Rate.<\/code>Account for friction (trading commissions and slippage).<\/code><\/code><\/pre>\n\n\n\n
\u56fd\u5185\u76f4\u63a5\u6362 510300 \u6216\u4e2d\u8bc1 500ETF\uff0c\u903b\u8f91\u4e00\u6a21\u4e00\u6837\u3002\u60f3\u7528\u73b0\u6210\u6846\u67b6\u7684\uff0cbacktrader\u3001vectorbt \u90fd\u80fd\u63a5\uff0c\u53ea\u662f\u628a”\u7b97\u6536\u76ca”\u8fd9\u683c\u6362\u6210\u6846\u67b6\u7684\u56de\u6d4b\u5f15\u64ce\u3002<\/p>\n\n\n\n
Cell 5\uff0c\u753b\u6743\u76ca\u66f2\u7ebf\u3002<\/strong> <\/p>\n\n\n\n
Plot price chart with Buy\/Sell markers.<\/code>Plot Cumulative Strategy Returns vs. Benchmark (Buy & Hold).<\/code><\/code><\/pre>\n\n\n\n
\u628a\u51c0\u503c\u8d70\u52bf\u753b\u6210\u56fe\uff0c\u4e24\u79d2\u770b\u51fa\u662f\u7a33\u6b65\u722c\u5761\u8fd8\u662f\u5927\u8d77\u5927\u843d\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u5230\u8fd9\uff0c\u4e00\u4e2a\u5b8c\u6574\u7684\u7b56\u7565\u7814\u7a76\u5de5\u4f5c\u6d41\u5c31\u8dd1\u901a\u4e86\u3002\u5269\u4e0b\u7684\u53ea\u6709\u4e00\u4ef6\u4e8b\uff0c\u8ba9 AI \u6bcf\u5929\u81ea\u52a8\u66ff\u4f60\u6309\u8fd9\u4e2a\u6d41\u7a0b\u8d70\u4e00\u904d\u3002<\/p>\n\n\n\n
\u7b2c\u4e09\u6b65\uff1a\u628a Skill \u53d8\u6210\u5b50\u4ee3\u7406<\/strong><\/h2>\n\n\n\n
Skill \u662f\u624b\u518c\uff0c\u5b50\u4ee3\u7406\u662f\u540c\u4e8b\u3002<\/p>\n\n\n\n
\u8fd9\u6b65\u5fc3\u7406\u8f6c\u6362\u6bd4\u6280\u672f\u6b65\u9aa4\u91cd\u8981\u3002\u4f60\u5728 agents\/ \u76ee\u5f55\u4e0b\u653e\u4e00\u4e2a markdown \u6587\u4ef6\uff0c\u544a\u8bc9\u4e3b\u4ee3\u7406”\u9047\u5230\u91cf\u5316\u56de\u6d4b\u5c31\u627e\u5b83”\uff0c\u7136\u540e\u5b83\u4f1a\u5728\u81ea\u5df1\u5e72\u51c0\u7684\u4e0a\u4e0b\u6587\u91cc\u8fd0\u884c\u3002<\/p>\n\n\n\n
\u8fd9\u4e00\u6b65\u672c\u8eab\u6ca1\u6709\u591a\u5c11\u56fd\u5185\u7279\u6709\u7684\u5751\u3002\u552f\u4e00\u8981\u7559\u5fc3\u7684\u662f\u5e95\u5c42\u6a21\u578b\u7684\u9009\u62e9\u3002\u5728\u56fd\u5916\u9ed8\u8ba4\u642d Anthropic \u6216\u8005 OpenAI \u7684\u6a21\u578b\uff0c\u56fd\u5185\u8bbf\u95ee\u540c\u6837\u6709\u95e8\u69db\u3002\u4f60\u53ef\u4ee5\u7ed9\u5b83\u914d\u4e00\u4e2a\u56fd\u5185\u53ef\u4ee5\u7a33\u5b9a\u8c03\u7528\u7684\u6a21\u578b\uff0cDeepSeek\u3001\u901a\u4e49\u5343\u95ee\u3001Kimi \u8fd9\u51e0\u5bb6\u90fd\u6709\u517c\u5bb9 API\uff0c\u63a5\u8fdb\u53bb\u5c31\u80fd\u8dd1\uff0c\u91cf\u5316\u4ee3\u7801\u8fd9\u79cd\u4efb\u52a1\u5b83\u4eec\u7684\u8868\u73b0\u4e5f\u5b8c\u5168\u591f\u7528\u3002<\/p>\n\n\n\n
\u91cd\u542f\u4f60\u7684ai\u5de5\u5177\uff0c\u8f93\u5165 @quant-strategy-researcher\uff0c\u540d\u5b57\u5c31\u4f1a\u51fa\u73b0\u5728\u8865\u5168\u5217\u8868\u91cc\uff0c\u4f60\u5c31\u591a\u4e86\u4e00\u540d\u968f\u65f6\u5f85\u547d\u7684\u540c\u4e8b\u3002<\/p>\n\n\n\n
\u7b2c\u56db\u6b65\uff1a\u6bcf\u5929\u65e9\u4e0a\u5b9a\u65f6\u89e6\u53d1<\/strong><\/h2>\n\n\n\n
\u63d0\u793a\u8bcd\u56fa\u5b9a\uff0c\u6bcf\u5929\u6267\u884c\uff1a<\/p>\n\n\n\n
\n
Open the Obsidian vault. Pick 3 different strategy notes at random.
Extract one key concept from each, synthesize a brand-newquantitative strategy hypothesis, document the rationale.
Then generate a backtest notebook namedstrategy_research_YYYYMMDD.ipynb.
Report the results honestly.<\/p>\n<\/blockquote>\n\n\n\n
\u6574\u4e2a\u5faa\u73af\u56db\u5206\u949f\u3002\u4f60\u4e0d\u76ef\u7740\uff0c\u4e0d\u5e72\u9884\uff0c\u56de\u6765\u65f6\u684c\u4e0a\u5df2\u7ecf\u8eba\u7740\u4e00\u4e2a\u4ee5\u65e5\u671f\u547d\u540d\u7684 Notebook\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u4ee3\u7801\u662f\u5b83\u5199\u7684\uff0c\u7b56\u7565\u662f\u5b83\u9009\u7684\uff0c\u7ed3\u679c\u7528\u540c\u4e00\u5957\u6307\u6807\u8bc4\u5224\u3002<\/p>\n\n\n\n
AI \u771f\u6b63\u503c\u94b1\u7684\u5730\u65b9\uff0c\u5b83\u4e0d\u4f1a\u81ea\u8bc1<\/strong><\/h2>\n\n\n\n
\u8bf4\u4e00\u4e2a\u53ef\u80fd\u6709\u70b9\u53cd\u76f4\u89c9\u7684\u7ed3\u8bba\u3002<\/p>\n\n\n\n
\u4eba\u7c7b\u7814\u7a76\u5458\u6709\u65b0\u7b56\u7565\uff0c\u6709\u52a8\u673a\u628a\u5b83\u6253\u78e8\u6f02\u4eae\u3002\u8c03\u4e2a\u53c2\u6570\u8ba9\u66f2\u7ebf\u66f4\u597d\u770b\uff0c\u6539\u4e2a\u5047\u8bbe\u8ba9\u56de\u64a4\u66f4\u597d\u770b\uff0c\u8fd9\u662f\u4eba\u6027\u3002AI \u6ca1\u6709\u8fd9\u4e2a\u51b2\u52a8\uff0c\u5b83\u5bf9”\u8bc1\u660e\u81ea\u5df1\u5bf9\u4e86”\u5b8c\u5168\u65e0\u611f\u3002<\/p>\n\n\n\n
\u6240\u4ee5\u4e00\u4ef6\u4e8b\u6bd4\u627e\u5230\u4e00\u4e2a\u8d5a\u94b1\u7684\u7b56\u7565\u503c\u94b1\uff1a\u627e\u5230\u4e00\u4e2a\u8bf4\u771f\u8bdd\u7684\u56de\u6d4b\u3002\u627e\u5230\u8d5a\u94b1\u7684\u56de\u6d4b\uff0c\u5f88\u591a\u4eba\u80fd\u505a\u5230\uff1b\u627e\u5230\u4e0d\u7f8e\u5316\u6570\u636e\u7684\u56de\u6d4b\uff0c\u5f88\u5c11\u6709\u4eba\u505a\u5230\u3002<\/p>\n\n\n\n
\u4e00\u5e74\u4e09\u767e\u516d\u5341\u4e94\u4e2a\u5047\u8bbe<\/strong><\/h2>\n\n\n\n
\u6700\u540e\u56de\u8fc7\u5934\u770b\u6574\u4e2a\u4e8b\u60c5\uff0c\u5b83\u771f\u6b63\u7684\u4ea7\u54c1\u662f\u4e60\u60ef\uff0c\u4e0d\u662f\u4efb\u4f55\u4e00\u4e2a\u5177\u4f53\u7b56\u7565\u3002<\/p>\n\n\n\n
\u4e00\u5e74\u4e09\u767e\u516d\u5341\u4e94\u4e2a\u5047\u8bbe\uff0c\u6bcf\u4e2a\u90fd\u6709\u6587\u6863\u8bb0\u5f55\uff0c\u6bcf\u4e2a\u90fd\u7ecf\u8fc7\u56de\u6d4b\u9a8c\u8bc1\uff0c\u7528\u540c\u4e00\u5957\u6307\u6807\u8bc4\u5224\u3002\u5927\u90e8\u5206\u4f1a\u4e8f\u94b1\uff0c\u6709\u4e9b\u4f1a\u8d5a\u94b1\uff0c\u4f46\u6bcf\u4e00\u4e2a\u90fd\u5728\u6559\u4f60\u8ba4\u8bc6\u81ea\u5df1\u66b4\u9732\u4e86\u4ec0\u4e48\u6837\u7684\u98ce\u9669\u655e\u53e3\u3002<\/p>\n\n\n\n
\u5e02\u573a\u662f\u8fc7\u6ee4\u5668\uff0c\u8fd9\u4e2a AI \u662f\u7b5b\u5b50\u3002<\/p>\n\n\n\n
\n\n\n\n
#AI\u91cf\u5316<\/a> #\u81ea\u52a8\u5316\u7814\u7a76<\/a> #Obsidian<\/a> #Codex<\/a> #\u91cf\u5316\u7b56\u7565<\/a> #AI\u52a9\u624b<\/a> #\u4ea4\u6613\u7b56\u7565<\/a> #\u91cf\u5316\u7814\u7a76<\/a> #\u6bcf\u65e5\u7b56\u7565<\/a> #AI\u5de5\u4f5c\u6d41<\/a> #\u77e5\u8bc6\u7ba1\u7406<\/a> #\u91cf\u5316\u7b14\u8bb0<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u4f5c \u8005\uff1a\u8001\u4f59\u635e\u9c7c \u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005…<\/p>\n
Continue reading\u56db\u6b65\u642d\u8d77AI\u91cf\u5316\u7814\u7a76\u6d41\u6c34\u7ebf\uff1aObsidian\u7b14\u8bb0\u2192\u6bcf\u5929\u65b0\u7b56\u7565\u2192\u81ea\u52a8\u56de\u6d4b<\/span><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[17,4,5,6],"class_list":["post-4810","post","type-post","status-publish","format-standard","hentry","category-aiinvest","tag-ai","tag-6","entry"],"_links":{"self":[{"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/posts\/4810","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/comments?post=4810"}],"version-history":[{"count":1,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/posts\/4810\/revisions"}],"predecessor-version":[{"id":4815,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/posts\/4810\/revisions\/4815"}],"wp:attachment":[{"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/media?parent=4810"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/categories?post=4810"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/tags?post=4810"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}