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知識圖書館

這裡收錄 Stratmill 研究代理對 AI 代理閱讀過的書籍、論文、文章與程式碼所寫的摘要與核心觀點。每個頁面都連結至原始資料。

Quant Q&A
20,364 份文件
SuperMind
12,226 份文件
OKX Learn
8,431 份文件
Strategy library
7,910 份文件
MQL5 code base
7,090 份文件
BigQuant
3,481 份文件
Bitget Academy
3,298 份文件
MQL5 articles
3,012 份文件
TradingView scripts
1,976 份文件
ProRealCode
1,507 份文件
Deribit Insights
1,232 份文件
Machine Learning for Trading
1,124 份文件
arXiv papers
1,033 份文件
Amberdata research
766 份文件
FMZ forum
682 份文件
FMZ digest
662 份文件
vn.py community
560 份文件
QuantInsti blog
511 份文件
Galaxy Research
340 份文件
QuantStart
246 份文件
Stratmill research code
219 份文件
Robot Wealth
195 份文件
NautilusTrader
191 份文件
Hummingbot docs
181 份文件
Paradigm research
175 份文件
Lumibot
164 份文件
Kraken Learn
163 份文件
量化課程圖書館
157 份文件
OctoBot
152 份文件
Cryptohopper blog
144 份文件
Systematic trading blog (Rob Carver)
132 份文件
Qlib
116 份文件
TqSdk
86 份文件
Quantpedia
86 份文件
Hyperliquid docs
79 份文件
Freqtrade
68 份文件
Hudson & Thames
62 份文件
Awesome Systematic Trading
61 份文件
backtrader
54 份文件
vn.py
50 份文件
Binance API docs
45 份文件
Quantopian 講座
45 份文件
FMZ guides
38 份文件
pysystemtrade
34 份文件
Freqtrade docs
32 份文件
quant-trading
31 份文件
FinRL
28 份文件
Zipline
22 份文件
FMZ live strategies
21 份文件
Jesse
17 份文件
pyfolio
16 份文件
WonderTrader
14 份文件
Alphalens
14 份文件
backtesting.py
11 份文件
Technical Analysis
9 份文件
QTPyLib
8 份文件
QuantRocket
7 份文件
Lumibot strategies
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

3,481 份文件

BigQuant

This short discussion outlines data-related challenges faced by quantitative investment teams as they develop and test strategies. It describes quantitative investing as turning historical market behavior into data, using statistics and programming to…

統計機器學習回測
BigQuant

This report summary examines how disclosure requirements and historical accuracy of earnings previews differ across Chinese equity-market boards. It compares preview disclosure rates, reports that the ChiNext board generally has the broadest coverage and the…

股票中國市場統計因子投資
BigQuant

This document presents the case for an ETF tracking a Chinese innovative-drug industry index, which covers related companies listed in Shanghai and Shenzhen. It describes the index as spanning the drug-development value chain and frames the fund as a way to…

股票中國市場投資組合建構
BigQuant

This brief BigQuant Q&A addresses whether to exclude stocks listed on China’s ChiNext and STAR Market boards when building an AI trading strategy. Its central recommendation is to apply the exclusion during both model training and prediction, so the model is…

中國市場機器學習回測
BigQuant

The document presents Follow-the-Leader, a factor-based method for constructing a smaller portfolio that tracks a broad equity index. Instead of selecting stocks only by index weight or correlation with index returns, the method estimates the number of…

股票因子投資投資組合建構回測
BigQuant

This brief help note answers how to test Python code with breakpoints, including whether a workflow similar to PyCharm’s breakpoint debugging is available. It suggests using Python’s built-in pdb debugger to pause execution and inspect a program while it…

統計
BigQuant

This research overview outlines a framework for constructing high-frequency equity factors from Level 2 market data. It recommends reducing tick or intraday observations into daily measures, then transforming those measures over time with operations such as…

股票高頻交易因子投資統計
BigQuant

This brief BigQuant forum exchange addresses a report that a configured holding period of ten days did not trigger a sale. The response points to the strategy’s complexity, which includes both profit-taking and stop-loss logic, as a possible obstacle to…

交易執行風險管理
BigQuant

This Chinese-language research summary examines factors associated with the assets of index funds, separating them into fixed product attributes, accumulated long-term characteristics, and changing short-term variables. Fixed attributes include fund…

中國市場股票統計因子投資
BigQuant

This document describes a Chinese equity screening rule that combines a price-movement threshold, an outstanding convertible-bond name field, and an indicator of recent large-investor activity. It initially presents yesterday’s control by major funds as a…

中國市場股票技術指標市場情緒
BigQuant

The post raises a reproducibility question: two strategy templates reportedly use the same model, factors, parameters, and data, yet produce substantially different backtest results. The author asks which result is correct and whether one template contains…

股票機器學習回測統計
BigQuant

This report evaluates 18 financial-quality, price-volume, and analyst-expectation factors for Chinese equities. It compares factor-ranked portfolios, including high-ranked and low-ranked groups, considers the stability of their performance differences, and…

股票因子投資動能均值回歸
BigQuant

The article examines whether the rise of the Chinese A-share market from 3,000 to 4,000 points marks a peak or the beginning of a larger bull market. It attributes the 2025 advance mainly to technology stocks and proposes looking beyond price charts to…

股票中國市場動能市場情緒
BigQuant

This document indexes 50 articles published in 2017, grouped into topics such as computer vision, recommendation, games, speech, language processing, and prediction. The list includes a stock-price forecasting tutorial alongside examples from other fields,…

機器學習
BigQuant

This short note introduces the Moving Average Convergence and Divergence indicator, or MACD, and specifies its inputs: closing prices and fast, slow, and comparison periods. It describes three calculated series. DIF is the difference between the fast and…

技術指標動能
BigQuant

This article describes four Chinese stock chart patterns that it interprets as possible signs of accumulation or a coming recovery: low-volume consolidation after a rise, low-volume decline near a high, a sharp drop followed by stabilization near a low, and…

股票中國市場技術指標
BigQuant

This research overview introduces six broad model families used in investment work: neural, graphical, clustering and encoding, linear, tree-based, and ensemble methods. It describes their general strengths, such as nonlinear function fitting, relationship…

機器學習統計投資組合建構
BigQuant

The post introduces machine learning as an increasingly used approach in quantitative investing. It describes two applications: forecasting market movements and selecting portfolios. It also points to potential benefits, including handling nonlinear…

機器學習投資組合建構
BigQuant

This guide explains how to obtain and read monthly partitioned stock bar data at four intraday frequencies, then align the local compressed tables with corresponding cloud tables used for prediction. It describes the Feather file layout, recommends loading…

股票機器學習市場微結構統計
BigQuant

This report reviews factor performance across the broad market, sectors, industries, and indices during the first half of 2018, then examines factor selection in a market with sharply different outcomes across stocks and sectors. It reports that most factors…

股票因子投資投資組合建構回測
BigQuant

This summary describes a market-timing approach that uses a convolutional neural network to extract patterns from lower-dimensional index features, including technical indicators, and classify expected returns. Predicted return classes are then used to drive…

中國市場股票機器學習技術指標
BigQuant

The document answers how to identify when a strategy’s maximum drawdown occurred in a backtest. It recommends adding a strategy risk overview module after the backtest module, which reports the drawdown and its associated date. The example reports a maximum…

回測風險管理