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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
Quantpedia
86 份文件
TqSdk
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

The document describes a seasonal earnings anomaly: companies may have predictable high- and low-profit quarters, yet announcements of peak or trough earnings can still surprise investors and produce abnormal stock returns. It attributes the mispricing…

股票事件驅動回測
BigQuant

The article introduces the Fama-French five-factor model as an extension of the three-factor framework. It describes market, size, book-to-market, profitability, and investment factors, and explains that multiple regression estimates a stock’s exposure to…

股票因子投資統計均值回歸
BigQuant

These course notes discuss practical ways to follow a stock strategy built around pullbacks after strong stocks hit their price limits and later rebound with market sentiment. They caution that entering after a strategy has recently risen can mean buying…

股票動能風險管理投資組合建構
BigQuant

This note presents a relative strength index calculation based on closing-price changes. It separates each change into its positive component and its absolute magnitude, then applies a smoothed moving average to each series. The ratio is transformed onto a…

技術指標動能統計
BigQuant

The document reviews quality investing as a composite of company characteristics, including profitability, growth, stability, capital structure, accounting quality, and investment. It compares reported findings for U.S. equities with cross-sectional results…

股票因子投資中國市場統計
BigQuant

The document describes a style allocation approach that uses an illiquidity measure, called ILLIQ, to represent how much information is associated with each unit of trading value. It divides the stock universe into safer and riskier groups, then infers…

股票因子投資動能風險管理
BigQuant

The document surveys data used to build quantitative investment strategies and support trading and risk decisions. It groups inputs into market prices, volumes and trades; company financials and valuation; macroeconomic indicators and policy; technical…

多資產統計風險管理
BigQuant

This short forum exchange asks how to count trading days since a condition last became true. Its example starts counting on the session after the trigger: if the condition occurs on one date, the next trading day returns one and the following session returns…

股票統計技術指標
BigQuant

The document summarizes research on whether informed investors use industry ETFs to hedge long positions in stocks with favorable company-specific information. It describes a paired measure combining hedge funds’ unusually large stock holdings with an…

股票美國市場事件驅動套利
BigQuant

This practice report compares a DeepAlpha deep neural network with LightGBM in a daily A-share stock-selection strategy. Both models use the same 32 short-term price and volume factors and five-year training sample. The portfolio buys the ten highest-ranked…

中國市場股票機器學習因子投資
BigQuant

The document describes an intraday trend strategy for Chinese equity index futures, based on a reported persistent opening momentum effect. It defines a bullish sequence as rising opening, low, and closing prices across bars, and a bearish sequence as…

期貨中國市場動能趨勢追蹤
BigQuant

This article proposes changing position sizes and take-profit distances in a grid strategy to recover from underwater positions sooner. Instead of a fixed base position, it describes increasing additions in stages as price falls: one unit per grid initially,…

網格交易部位規模風險管理均值回歸
BigQuant

This research overview examines the development and current state of China’s pension arrangements, alongside the management of pension assets. It organizes retirement provision into three pillars: basic public pensions, occupational plans such as enterprise…

中國市場投資組合建構風險管理
BigQuant

The discussion explains why a small-cap daily strategy may signal a full exit on one day and then recommend buying the same stocks in a new task the next day. The response attributes this to daily portfolio recalculation: if the selection changes from one…

股票交易執行投資組合建構
BigQuant

This Chinese-language article describes a workflow for turning intraday trading data into daily stock-selection factors and using those factors in analysis and strategy development. Its example is a large-order-driven price-rise factor, alongside other…

股票高頻交易因子投資回測
BigQuant

This research summary argues that conventional momentum is a weak alpha signal in the Chinese stock market and proposes rebuilding it from intraday returns. The approach divides each trading day’s price change into five time segments, then recombines the…

股票中國市場動能因子投資
BigQuant

This research summary outlines a monthly tactical framework for rotating among Chinese A-share industries. It combines two approaches: time-series timing based on industry classification, business-cycle indicators, fundamental forecasts, valuation…

股票中國市場動能波動率
BigQuant

This Chinese-language research note analyzes recent trading value as a liquidity factor for stock selection. It describes changing the evaluation horizon to five-day returns, excluding stocks at their daily upper price limit to reflect execution difficulty…

股票中國市場因子投資統計
BigQuant

The Traders Dynamic Index combines a smoothed RSI line, a signal line, a market base line, and volatility bands. Its configurable settings include RSI and smoothing periods, applied price, band period, overbought and oversold thresholds, and display toggles.…

技術指標動能波動率
BigQuant

This discussion answers how to calculate indicators with chosen parameters in BigQuant. It points users to DAI SQL’s technical analysis operators, which use TA-Lib, and illustrates the approach with a moving average applied to an open-price series. A SQL…

技術指標股票
BigQuant

This report introduction frames research into how factor and stock weights affect style exposure in multi-factor equity portfolios. It focuses on reducing unintended market-cap, industry, and other style biases, which the authors associate with past setbacks…

股票因子投資統計回測
BigQuant

The document introduces the Williams Overbought/Oversold Index, commonly called Williams %R, as a technical indicator calculated from closing price and the recent high-low range. Its formula compares the close with the highest high over a lookback period,…

技術指標股票
BigQuant

The document discusses the growth of electronic trading and presents algorithmic execution as a tool for handling large orders in volatile markets. Its core methods include splitting a parent order into smaller trades, aligning execution with market-volume…

交易執行市場微結構機器學習風險管理
BigQuant

This example describes a high-dividend stock selection model for the Chinese equity market. It first excludes special-treatment stocks, suspended stocks, and Beijing Stock Exchange listings. Within the remaining universe, it selects the 300 largest companies…

中國市場股票因子投資回測