scutquant

Unverified ML strategy on Multi by HaoningChen. BotFinder score 18 out of 100.

scutquant是一个开源的离线量化投资平台,由华南理工大学量化投资协会负责维护. 该框架具有低耦合, 高内聚的特点

Source: github

Explorer/Multi/scutquant
18
Data index
MultiMLMedium risk⚠ Unverified

scutquant

HaoningChenGitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
4.0y
BotFinder Analysis

BotFinder analysis pending.

About

scutquant

scutquant 华南理工大学量化投资协会(华工量协)欢迎您 代码和介绍见scutquant 纯代码版本(方便下载)请转到scutquantpure 如果有任何意见和建议,欢迎在issue区留言或者直接提pr! 如果觉得本仓库对您有用, 请点一个免费的star! PS:协会公众号二维码如下 导航 scutquant: 量化工具包, 拥有一个离线量化投资平台所需的所有代码 实践案例(内含demo): 实践出真知, 提供难度适中的任务给大家练手 教程: 演示如何使用scutquant完成从数据分析到回测的全流程 文件: 存放技术沙龙文件和其它资料 联系方式(目前): harleychen@foxmail.com 环境要求 (最好有) Anaconda3 python3.8 及以上(如果不使用data模块,那么3.7及以上即可) Windows10 64位; Ubuntu 20.04.3(20及以上应该都可以) requirements.txt 如何安装 由于暂时还没发布到PyPI(还没注册账号), 所以目前只能从github下载压缩包并解压到sitepackages文件夹. 推荐从scutquantpure下载(解压后需要将文件夹名字改成scutquant)

Jupyter NotebookMITOpen-sourcefinancemachine-learningquantquantitative-financequantitative-tradingscut
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
HaoningChen
Since 2018 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars55
Forks11
Open issues2
LanguageJupyter Notebook
LicenseMIT
Last update2024-05-20
Created2022-10-11
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