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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
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 summary of a Chinese brokerage factor-monitoring report compares recent performance across equity factors using several views: long-only excess returns, long-short returns, information ratios, and relative strength over roughly six months. Factors…

股票因子投資均值回歸動能
BigQuant

The article argues that durable trading depends on treating each trade as a planned decision rather than an impulse. It recommends defining entry rules, recording the reason and timing for each trade, waiting for qualifying signals, and setting exit plans…

風險管理統計
BigQuant

This document summarizes long-run performance of Chinese equity factor portfolios and compares their results across market, economic, interest-rate, and volatility regimes. It reports that the portfolios had positive long-term returns, with size and…

股票因子投資投資組合建構風險管理
BigQuant

This forum post raises a factor-data debugging question: why can an industry-neutralized price-to-book factor contain missing values when the raw factor appears complete? It identifies an industry-neutralization function applied using a first-level industry…

股票因子投資統計
BigQuant

This report surveys hedging choices for U.S. equity portfolios during drawdowns and recessions, drawing on a historical sample from 1985 through 2018. It contrasts rolling index puts and short credit risk with Treasury and gold exposures, then examines…

股票期貨選擇權趨勢追蹤
BigQuant

This article proposes a qualitative decision framework based on comparing broad market strength with the strength of individual stocks. It organizes conditions into four cases: when both market and stock are strong, favor stock exposure; when the market is…

股票動能風險管理
BigQuant

This article argues that LSTM models trained on historical prices can appear to forecast stocks accurately because predicted daily prices often remain close to the previous day’s price. When plotted against actual prices, this persistence can look…

股票機器學習統計回測
BigQuant

This forum post reports a data-quality anomaly in the CSI 1000 constituent history: a query finds 1,001 component records for the index on July 26, 2023. It shows how to query the component table for dates from 2015 onward, then group records by date for the…

股票中國市場統計
BigQuant

This summary of a research report examines whether trade counts from tick-level transaction data can refine a traditional reversal factor in China’s order-driven A-share market. Trade count is defined as the number of matched transactions. The report says it…

中國市場股票均值回歸因子投資
BigQuant

The article summarizes a method for extracting priced common factors from stock returns. First, a Fama-MacBeth cross-sectional regression uses several return-predictive characteristics to estimate stocks’ expected returns. Stocks are then sorted into…

股票因子投資機器學習統計
BigQuant

The report uses Hong Kong Exchange disclosures on holdings associated with northbound Stock Connect trading seats to estimate stock positions and sector-level additions. It argues that aggregate flows can obscure differences among market participants, then…

中國市場股票因子投資回測
BigQuant

This opinion article argues that quantitative trading is a tool used by larger market participants rather than the primary force setting a stock's longer-term direction. It describes how large orders might trigger automated buying or stop-driven selling,…

股票市場微結構技術指標風險管理
BigQuant

This article outlines a reproduction of a research approach that predicts whether a stock’s closing price will rise or fall over a future horizon. It applies exponential smoothing to Apple daily price data, then builds a binary target from the price change…

股票機器學習技術指標統計
BigQuant

The report summary examines whether stock momentum spreads among companies linked by industry, geography, supply chains, or similar technologies. For A-shares, it reports that portfolios formed on industry momentum had higher average monthly returns at the…

中國市場股票動能因子投資
BigQuant

This report excerpt describes a weekly framework for monitoring profitability and business conditions across selected primary and secondary industries in China's CITIC classification. It tracks trailing-twelve-month return on equity and places current…

中國市場股票統計因子投資
BigQuant

This tutorial introduces bias, variance, and irreducible error as sources of prediction error. It relates model complexity to underfitting and overfitting: overly simple models tend to perform poorly on both training and test data, while overly complex…

機器學習統計回測
BigQuant

This brief programming note explains how to convert numeric timestamps in JSON into calendar dates. It uses sample values that pair large timestamp integers with compact date representations, then shows the general conversion approach in JavaScript and…

統計
BigQuant

The document introduces cointegration as a long-run relationship in which individually nonstationary series can have a linear combination that is stationary. It explains stationarity through stable statistical properties over time and contrasts it with…

配對交易統計均值回歸
BigQuant

The article argues that mean and variance alone may miss information when market returns depart from a stable Gaussian pattern. It describes higher moments, especially odd-order moments, as potentially useful timing signals: their values reportedly expand…

股票中國市場技術指標統計
BigQuant

This guide explains how long-short equity portfolios combine stocks expected to rise with stocks expected to fall. It discusses possible return sources, including security selection, market timing, and exposure to factors such as value, growth, momentum, and…

股票均值回歸因子投資投資組合建構
BigQuant

This discussion asks whether the maturation of China’s equity market will make quantitative investing harder. The concern is that institutional participation and competition may reduce behavioral inefficiencies and compress excess returns for both systematic…

股票中國市場統計機器學習
BigQuant

This document describes a chart indicator that displays the MACD main line and signal line together with the MACD histogram. It is presented as a modification of the example MACD indicator included with MetaTrader 5. The fast and slow exponential moving…

技術指標股票回測
BigQuant

The document summarizes a slack-based manager efficiency index (SMEI) for evaluating mutual fund managers as a whole rather than judging each fund in isolation. The data envelopment analysis framework treats risk, portfolio turnover, and a combined…

統計因子投資投資組合建構風險管理