跳至內容

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
Quantopian 講座
45 份文件
Binance API docs
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
Alphalens
14 份文件
WonderTrader
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 report summary introduces entropy pooling as a way to incorporate qualitative or quantitative views into a risk model by updating a probability distribution. It contrasts the approach with the Black–Litterman model, describing broader choices for risk…

統計投資組合建構風險管理多資產
BigQuant

The document summarizes research on weighting equity alpha factors through factor-mimicking portfolios (FMPs). It presents FMPs as an alternative representation of alpha signals under a stock covariance model, with linear combinations of factors…

股票因子投資投資組合建構統計
BigQuant

The research note explains how alpha factors can be represented through factor-mimicking portfolios (FMPs) under a stock covariance model. It describes translating linear combinations of alpha factors into corresponding combinations of FMPs, then choosing…

股票因子投資投資組合建構統計
BigQuant

This article outlines a directional strategy for Chinese equity index futures based on a schedule of daily long, short, or no-trade signals prepared in advance for the week. It describes opening an initial position around 10 a.m., adding to it around 2 p.m.…

期貨中國市場回測交易執行
BigQuant

This overview presents fixed-income-plus investing as a way to seek steadier returns by combining bonds and equities. Its central portfolio argument is that historically low, often negative, correlations between Chinese stocks and bonds can let an…

固定收益股票多資產投資組合建構
BigQuant

The document summarizes research on using corporate earnings-call transcripts to predict subsequent stock-price movements. Earnings calls contain management discussion of financial performance and information that investors and analysts may use when making…

股票機器學習市場情緒統計
BigQuant

This research framework measures crowding in equity industries using price and trading activity. It groups candidate indicators into trend-oriented measures, including price deviation and moving-average dispersion; supplementary measures such as turnover,…

股票中國市場因子投資動能
BigQuant

This study examines why publicly listed Asian companies disclose environmental, social, and governance information. Using panel data and regression models, it tests whether economic sustainability performance, profitability, leverage, and company size are…

股票中國市場統計
BigQuant

The document proposes adding a simple API to retrieve selected strategy performance metrics over a specified date range. Examples include the Sharpe ratio, annualized return, benchmark return, and alpha. The request responds to a gap between an existing…

回測統計機器學習
BigQuant

The discussion explains that a supervised model learns from factors paired with labels, where a label defines the target. For stock selection, the target might be future returns over a chosen horizon. The model and label together determine what predictions…

機器學習因子投資股票統計
BigQuant

This study examines how exposure to international trade relates to US stock returns. It uses industry transportation costs as a measure of globalization exposure, sorting stocks into portfolios and comparing their excess returns. The reported evidence…

股票因子投資美國市場投資組合建構
BigQuant

This event study examines how Chinese A-share prices behave around formal earnings reports, especially when companies previously issued earnings forecasts. It compares reported results with forecast ranges and groups companies by forecast category or by the…

股票事件驅動動能統計
BigQuant

This report applies behavioral finance to equity factor research, using the disposition effect and prospect theory to explain how investors' risk preferences may differ depending on whether they hold gains or losses. It constructs a capital gains overhang…

股票中國市場因子投資回測
BigQuant

This report compares groups of Chinese equity factors across industries, focusing on cash flow, valuation, size, momentum, liquidity, volatility, beta, and alpha. Its stated findings come from portfolio net value behavior, industry-level results, ranking…

股票因子投資統計動能
BigQuant

This BigQuant forum post discusses how to define a factor for stocks closing above their historical maximum high. The example query groups earlier price records by instrument and name to calculate a prior high, then compares a later close with that value.…

股票突破技術指標中國市場
BigQuant

This study describes a grouped-factor approach to combining quality, growth, and value signals for A-share stock selection. A quality composite based on enterprise value and return on equity ranks stocks and defines a filtered universe for further selection.…

股票因子投資投資組合建構中國市場
BigQuant

This Chinese-language post outlines an equity screen for companies classified in the metaverse theme. It selects stocks whose actual turnover rate from two sessions earlier falls between 3% and 28%, and whose current control-related measure exceeds 21. The…

股票中國市場技術指標風險管理
BigQuant

This research summary asks whether financial data vendors act as information intermediaries in equity markets. It focuses on FirstCall, a Thomson Reuters service, and whether the timing of its distribution of earnings information affects how investors…

股票事件驅動市場微結構統計
BigQuant

This research note summarizes a study of downside volatility as a measure of portfolio risk and compares it with conventional volatility. It reports that the measures are generally closely related, but their relationship weakens during historically turbulent…

波動率風險管理因子投資投資組合建構
BigQuant

This 2020 research summary argues that the Shenzhen 100 could suit long-term allocation, describing it as a liquid large- and mid-cap index with both growth and blue-chip characteristics. It cites fundamentals reported at the time, including return on equity…

股票中國市場因子投資投資組合建構
BigQuant

This Chinese-language knowledge post explains a mismatch in a sample trailing-stop calculation. The code obtains a holding duration by subtracting the position’s last sale date from the current date, which yields calendar days. It then passes that duration…

股票風險管理交易執行回測