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
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
Lumibot strategies
7 份文件
QuantRocket
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

3,481 份文件

BigQuant

This Chinese Q&A discusses basic factor research and strategy refinement. It recommends using a correlation calculation to compare factors and gives rough absolute-correlation bands for weak and strong relationships. It also suggests tracking factor…

股票因子投資統計高頻交易
BigQuant

This Chinese-language discussion asks why a five-day moving average is missing on a date when the closing price appears to be available and the security was not halted. The response offers a possible explanation: a missing close elsewhere in the five-day…

統計技術指標
BigQuant

This short quantitative research answer describes a volume-based factor built from two choices: the number of days used to average volume and the number of observations used to measure volatility. Its notation indicates applying a standard deviation to…

統計因子投資股票
BigQuant

This Chinese brokerage research summary examines Fuling Zhacai, a single Chinese listed company, and proposes adjusting exposure according to how much future earnings its share price appears to anticipate. The analysis describes relatively stable analyst…

股票中國市場均值回歸部位規模
BigQuant

This study examines six smart beta factors in Chinese equities: size, value, low volatility, momentum, quality, and dividends. Its reported sample runs from July 2006 through November 2018. The summary finds differing absolute and risk-adjusted performance…

股票因子投資動能波動率
BigQuant

This research summary explores technical factors built from turnover, illiquidity, and combined price-volume information in the CSI 500 universe. It considers turnover stability, turnover variation, abnormal turnover, several illiquidity measures, On-Balance…

股票因子投資技術指標回測
BigQuant

The document surveys a quantitative research platform’s components and workflow. It describes tools for strategy development, financial data access, factor research, model training, backtesting, simulated trading, and live execution. Its examples span stock,…

多資產機器學習因子投資回測
BigQuant

The document summarizes research on applying conditional generative adversarial networks to calibrate individual systematic trading strategies and combine them into ensembles. The proposed workflow covers training and selecting a cGAN on time-series data,…

機器學習投資組合建構回測統計
BigQuant

This Chinese equities screen combines cross-sectional ranks for total market capitalization, free-float market capitalization, and closing price into a weighted score. It filters out special-treatment and suspended stocks, requires more than a year since…

股票中國市場因子投資回測
BigQuant

This Chinese equity screen combines technical conditions with a historical revenue comparison. It selects stocks with RSI below 65, a shortening MACD histogram on a 15-minute chart, and revenue in 2021 more than 1.1 times revenue in 2018. The accompanying…

中國市場股票技術指標因子投資
BigQuant

The document presents a cross-sectional stock factor built from daily Chinese stock data. It calculates a rolling correlation over 20 observations between the close-to-close price ratio and the logarithm of the volume ratio plus one, then reverses the…

中國市場股票因子投資統計
BigQuant

This research summary examines why Chinese A-share returns show short-term reversal even though medium- and long-term raw returns do not show the momentum commonly reported in overseas markets. It decomposes stock returns into overnight returns and intraday…

中國市場股票動能均值回歸
BigQuant

This report examines whether stocks expected to enter or leave the CSI 300 earn abnormal returns around index reconstitutions. It attributes potential price effects to index-tracking funds adjusting holdings. For the 20 trading days before an adjustment…

中國市場股票事件驅動套利
BigQuant

The article reviews research comparing factor momentum with industry and stock momentum using historical U.S. equity data and a broad set of return factors. The central finding is that industry-neutral factor momentum contains the predictive information…

股票動能因子投資統計
BigQuant

The document summarizes Barra CNE6 as a risk and factor model with an estimation universe filtered for size and liquidity. It describes three versions: two long-term variants using slower style factors and a trading version combining slower and faster…

股票因子投資風險管理統計
BigQuant

This index-timing method combines relative price strength (RPS) with the difference between upward and downward volatility. It computes the two directional volatility measures for each index, subtracts one from the other, and smooths the result with a moving…

股票趨勢追蹤波動率技術指標
BigQuant

This research summary examines stock-selection factors within China’s healthcare sector. It reports that size-related factors can deliver higher average returns but have been unstable, while several technical measures—including prior price change, turnover,…

股票因子投資中國市場投資組合建構
BigQuant

This article explains attention and Transformer components, then adapts them to predict stock returns from factor time series. Its proposed model adds Time2Vec features to factor inputs, applies self-attention and multi-head attention, and stacks encoder…

股票機器學習技術指標回測
BigQuant

This note outlines a top-down approach to investing in fixed-income funds. It recommends first forming views on short- and long-term interest rates and credit spreads, then using those views to guide bond-fund selection. When rates are expected to rise, it…

固定收益風險管理投資組合建構
BigQuant

The article surveys common sources of investment loss, including broad market movements, issuer default, illiquidity, interest-rate changes, inflation, geopolitical events, concentration, business problems, and legal or regulatory changes. It explains these…

風險管理投資組合建構固定收益選擇權
BigQuant

This research summary outlines an enhanced portfolio for the ChiNext, or Growth Enterprise Market, index. The authors test single-factor enhanced portfolios, then select factors using information ratios, maximum drawdowns, and relationships among factors.…

股票中國市場因子投資投資組合建構
BigQuant

The report summary introduces the ZCBI listed index, designed to track publicly traded companies associated with Beijing’s Zhongguancun Life Science Park and the broader bioeconomy. It describes a total-return index, free-float market-cap weighting, and…

股票中國市場投資組合建構因子投資