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
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 post describes a Chinese equity factor inspired by a research report. Its volume component divides the trading session into five-minute intervals, measures each stock’s share of market volume, and uses Shannon entropy to characterize how that activity…

中國市場股票因子投資統計
BigQuant

This example queries Chinese stock valuation data for a specified date and examines the distribution of total market capitalization. It trims observations below the second percentile and above the ninety-eighth percentile, divides the remaining values into…

股票中國市場統計
BigQuant

This report discusses how China’s changing investor mix may alter equity factor behavior, using earnings momentum as its example. It argues that institutionalization and international investment can support fundamental factors over the long term, while…

中國市場股票因子投資動能
BigQuant

The document asks how to rebalance an existing stock portfolio to a fixed target weight per holding. Its proposed sequence is to sell positions removed from the selection, adjust retained positions back to the target allocation, and then buy newly selected…

股票投資組合建構部位規模交易執行
BigQuant

This research note proposes a price-spread deviation factor intended to measure whether a stock is relatively expensive or cheap compared with similar stocks. It frames the signal as a relative reversal measure: stocks that have recently lagged peers are…

股票均值回歸因子投資投資組合建構
BigQuant

This stock-screening proposal selects companies assigned to a metaverse industry category, requires a positive return condition, and looks for at least one limit-up event during the preceding 25 days. It gives both a platform formula and a Python-oriented…

股票中國市場動能技術指標
BigQuant

This document summarizes an investment research paper on incorporating environmental, social, and governance risks into emerging-market analysis. Its central argument is that these markets can be more exposed to issues such as extreme weather, resource…

股票風險管理投資組合建構
BigQuant

The document describes Panoptic, a decentralized protocol that offers perpetual options linked to Uniswap liquidity pools. It explains how concentrated liquidity ranges can serve as strike selection and how liquidity provision can create option-like…

加密貨幣選擇權波動率去中心化金融
BigQuant

This research summary describes combining order-book data, which may reflect traders’ unexecuted intentions, with transaction-level data showing completed trades. The authors use both intuitive signal construction and machine learning to turn different types…

股票高頻交易機器學習因子投資
BigQuant

The document explains beta as an asset’s sensitivity to market returns and gives the covariance of asset and market returns divided by market-return variance as its calculation. It illustrates the calculation with a short set of monthly portfolio and…

統計風險管理因子投資
BigQuant

This brief support exchange addresses whether StockRanker’s tree model can use L1 or L2 regularization and how to improve model stability. The response says that StockRanker does not currently expose regularization as a way to prevent overfitting. It…

機器學習風險管理
BigQuant

This overview surveys the use of large language models and other AI methods across quantitative investing. It describes extracting sentiment and information from financial text, combining text with time-series data for market and risk forecasts, supporting…

機器學習市場情緒投資組合建構交易執行
BigQuant

This brief forum exchange asks how to interpret a random forest model’s predicted label after returns have been divided into twenty classes. The question is whether the output represents a class identifier or a return value, and whether regression metrics…

機器學習統計股票
BigQuant

This practitioner essay presents risk management as a process spanning strategy research, deployment, live operation, and review. It recommends examining a strategy’s behavior in severe historical drawdowns, including whether losses remain controlled,…

風險管理回測交易執行投資組合建構
BigQuant

This forum post raises questions about translating factor functions from BigQuant version 1.0 to version 3.0. It asks whether the RSI function retains its name or uses a prefixed variant, and whether ranking should use a cross-sectional or unprefixed…

因子投資技術指標統計
BigQuant

The document reproduces a pandas performance warning raised during a backtest while data is being written to HDF storage through PyTables. The warning says that a block of columns contains mixed object types that PyTables cannot map directly to its native C…

回測交易執行統計
BigQuant

This support note addresses an error encountered while extracting basic features for Chinese convertible bonds. The reported failure says the feature extraction module does not recognize the CN_CONBOND market. The response recommends connecting through the…

中國市場固定收益
BigQuant

This overview describes how to read simulated strategy performance based on historical data. It defines several commonly reported measures: total return and annualized return for gains over time, maximum drawdown for peak-to-trough loss, Sharpe ratio for…

回測風險管理統計
BigQuant

This opinion article argues that quantitative trading can intensify volatility in China’s A-share market and disadvantage investors who lack comparable speed or technology. It attributes these effects to strategies that respond to market rules and short-term…

中國市場股票高頻交易市場微結構
BigQuant

This broad educational overview introduces mathematical tools used in stock analysis and algorithmic trading. It covers descriptive statistics, including measures of central tendency and dispersion, and explains how visualizations can help reveal…

股票統計技術指標風險管理
BigQuant

This research review presents the frog-in-the-pan hypothesis: investors may respond less promptly to a sequence of small, gradual price moves than to a similarly sized change concentrated in a few sharp moves. It describes an information-discreteness measure…

股票動能統計市場情緒
BigQuant

This document describes a local tool for reviewing trading records produced by the Wanhe file-order system. The user selects the system’s service log folder, runs an analysis, and views account trading logs, an account equity curve, trade history, and daily…

股票交易執行風險管理
BigQuant

This tutorial explains how to aggregate one-minute bars into longer intraday bars, using a Chinese stock session as its example. It shows the standard time-series resampling approach: assign open from the first observation, high and low from the extrema, and…

股票期貨統計市場微結構
BigQuant

The report examines how changes in market interest rates can affect listed companies’ net profits through interest expense. It compares industries by the importance of financial expenses relative to net profit, finding higher exposure in areas such as light…

股票固定收益統計風險管理