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docs/start/getdata.rst
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| ==================== | ||
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| Users can get stock data by Qlib, the following are some examples. | ||
| Users can get stock data by ``Qlib``. Following examples will demonstrate the basic user interface. |
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We will only provide csi300 and all stock pool in our demo. Please change this tutorial
| feature_label_config: /data/qlib/feature_config/feature_config.yaml | ||
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| The class `SomeDataHandler` should be in the module `custom_data_handler`, and Qlib could parse the `module_path` to load the class. | ||
| The class `SomeDataHandler` should be in the module `custom_data_handler`, and ``Qlib`` could parse the `module_path` to load the class. |
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Did you test feature_label_config ?
docs/component/estimator.rst
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| User can specify `trainer` through the configuration file: | ||
| Users can specify `trainer` through the configuration file: |
docs/component/estimator.rst
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| To Know more about ``Data Handler``, please refer to `Data Framework&Usage <data.html>`_. | ||
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| About training | ||
| Trainer Field |
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Trainer section maybe better for such title
| --------------- | ||
| Users can use APIs in ``qlib.data`` to retrieve data, please refer to `Data Retrieval <../start/getdata.html>`_. | ||
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| Filter |
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Put the Filter behind feature.
Feature is Much more important
docs/component/data.rst
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| Cache | ||
| ========== | ||
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| Local Cache |
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spli the memory cache and disk cache into two sub-sections in Cache section
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How to split the Cache? what's the disk cache?
| backtest: | ||
| normal_backtest_args: | ||
| verbose: False | ||
| limit_threshold: 0.095 |
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@zhupr
Please add limit_threshold=0.0095 as the default option in China Stock market setting
docs/component/backtest.rst
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| To know more about backtesting with specific strategy, please refer to `Strategy <strategy.html>`_. | ||
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| Score File |
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Please rename all the content like Score XXX which indicates the predction of model to Prediction.
Such consistant name will help user understand the doc
docs/component/backtest.rst
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docs/component/backtest.rst
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| mdd -0.072977 | ||
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| - `sub_bench` | ||
| Income without deduction of fees |
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Income -> returns of the portfolio
| Interday Model: Model Training & Prediction <component/model.rst> | ||
| Interday Strategy: Portfolio Management <component/strategy.rst> | ||
| Intraday Trading: Model&Strategy Testing <component/backtest.rst> | ||
| Aanalysis: Evaluation & Results Analysis <component/report.rst> |
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Update README.md
qlib auto init basedon project & black format
Fix test_start setting in `Benchmark.basic_task()`
CRITICAL FIX microsoft#1: Portfolio Chinese Stocks → ASX Stocks ❌ BEFORE: Chinese stocks (000001.SZ, 600036.SH, Kweichow Moutai) ✅ AFTER: ASX stocks (CBA.AX, BHP.AX, CSL.AX, WBC.AX, RIO.AX) ✅ Portfolio: 8 major ASX holdings worth A72K total ✅ Sectors: Financials 45.9%, Materials 25.8%, Healthcare 8.3% CRITICAL FIX microsoft#2: Email Authentication Features ✅ /api/auth/send-verification - 6-digit email codes ✅ /api/auth/verify-email - Email verification process ✅ /api/auth/forgot-password - Password reset links ✅ /api/auth/reset-password - Secure password updates ✅ Development mode with fallback codes ✅ Production-ready with SMTP integration SECURITY IMPROVEMENTS: - Secure token generation (secrets.token_urlsafe) - Rate limiting (max 3 verification attempts) - Expiration times (10min verification, 1hr reset) - No email enumeration (security best practice) Portfolio now shows Australian companies only. Authentication now production-ready for launch. 🎉 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
* init commit * change the version number * rich the docs&fix cache docs * update index readme * Modify cache class name * Modify sharpe to information_ratio * Modify Group- to Group * add the description of graphical results & fix the backtest docs * fix docs in details * update docs * Update introduction.rst * Update README.md * Update introduction.rst * Update introduction.rst * Update introduction.rst * Update installation.rst * Update installation.rst * Update initialization.rst * Update getdata.rst * Update integration.rst * Update initialization.rst * Update getdata.rst * Update estimator.rst Modify some typos. * Update README.md Modify the typos. * Update initialization.rst * Update data.rst * Update report.rst * Update estimator.rst * Update cumulative_return.py * Update model.rst * Update rank_label.py * Update cumulative_return.py * Update strategy.rst * Update getdata.rst * Update backtest.rst * Update integration.rst * Update getdata.rst * Update introduction.rst * Update introduction.rst * Update README.md * Update report.rst * Update integration.rst Fix typos * Update installation.rst Fix typos * Update getdata.rst * Update initialization.rst Fix typos. * add quick start docs&fix detials * fix estimator docs & fix strategy docs * fix the cahce in data.rst * update documents * Fix Corr && Rsquare * fix data retrival example to csi300 & fix a data bug * fix filter bug * Fix data collector * Modift model args * add the log & fix README.md\quick.rst * add enviroment depend & add intoduction of qlib-server online mode * fix image center fomat & set log_only of docs is True * fix README.md format * update data preparation & readme logo image * get_data support version * Modify analysis names * Modify analysis graph * update report.rst & data.rst * commmit estimator for merge * minimal requirements * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update READEME.md * Update READEME.md * update estimator * Fix doc urls * fix get_data.py docstring * update test_get_data.py * Upate docs * Upate docs * Upate docs Co-authored-by: bxdd <bxddream@gmail.com> Co-authored-by: zhupr <zhu.pengrong@foxmail.com> Co-authored-by: Wendi Li <wendili.academic@qq.com> Co-authored-by: Dingsu Wang <dingsu.wang@gmail.com> Co-authored-by: bxdd <45119470+bxdd@users.noreply.github.com> Co-authored-by: cslwqxx <cslwqxx@users.noreply.github.com>
qlib auto init basedon project & black format
在 CLAUDE.md 新增"已知问题与修复记录"章节,详细记录: Bug microsoft#1: iQuant 实盘下单失败 - passorder 返回 0 - 问题描述:passorder 返回 0,订单未进入系统,无错误提示 - 根本原因:缺少 is_last_bar() 检查,在历史回放阶段执行下单 - 修复方案:添加 is_last_bar() 检查,移除 set_account() 调用 - 经验教训:iQuant 策略生命周期、passorder 返回值含义、调试要点 包含完整的问题诊断过程、对比分析、修复代码示例和验证结果。 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>




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