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
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 note shows how to retrieve Chinese A-share index membership data in BigQuant and filter it for a chosen index. It reads the basic index constituent table, then selects records by the index identifier; an additional filter narrows membership to a…

股票中國市場回測
BigQuant

This brief discussion asks how to translate legacy rolling-factor expressions into SQL: a five-day sum of turnover, a five-day mean of closing prices shifted three days back, and a ten-day statistic. It also raises a practical data-type issue when…

股票統計
BigQuant

This report summary studies whether mutual funds that performed relatively well continue to do so, and whether weak performers remain weak. It defines persistence through the serial relationship in a fund’s Sharpe ratios: each month, it calculates Sharpe…

股票統計因子投資投資組合建構
BigQuant

The document raises a visualization concern: a smooth backtest equity curve may conceal the size of fluctuations a strategy could experience in practice. It proposes displaying results as daily candles, including each day’s high and low, so readers can see…

回測風險管理波動率
BigQuant

This report overview argues that commodity price forecasts should combine fundamental and technical analysis. It groups actively traded Chinese commodity futures into five broad sectors—ferrous materials, chemicals, agriculture, nonferrous metals, and…

大宗商品期貨波動率技術指標
BigQuant

This trading-rule example explains how to identify stocks that have had exactly one limit-up day during a recent lookback window and then return close to that event day's opening price. The suggested workflow begins with a precomputed limit-up status…

股票技術指標回測交易執行
BigQuant

This brief troubleshooting exchange addresses an error encountered when industry features are passed to a shared data-cleaning module for industry neutralization. The reported failure says the industry field is not one-dimensional, but the exchange does not…

因子投資統計
BigQuant

This study examines whether firms with predictable quarterly earnings patterns earn unusual stock returns when they announce earnings in their historically strong quarter. It measures seasonality mainly by ranking a firm’s earnings over five years and…

股票因子投資事件驅動統計
BigQuant

This brief Q&A explains how to trigger a stock purchase on a chosen trading date within a BigQuant strategy’s main function. The suggested method is to read the simulation’s current date and time through the platform’s current-time interface, compare it with…

股票回測交易執行部位規模
BigQuant

This investment research summary argues that demand from downstream applications may offer more useful opportunities than broad electronics-sector classifications. It highlights automotive electronics, virtual and augmented reality, defense, industrial and…

股票中國市場因子投資
BigQuant

The article introduces support as a price area associated with repeated local lows and resistance as an area associated with repeated local highs. It outlines a simple charting workflow: gather price history, use a rolling window to identify local extrema,…

技術指標突破風險管理
BigQuant

This A-share stock selection example screens for companies meeting three stated criteria: profit growth above 15%, return on equity above 15% for three consecutive years, and a price-to-earnings ratio below 35. The implementation treats profit growth, return…

股票因子投資回測投資組合建構
BigQuant

This research summary reviews stock-selection factors derived from tick-by-tick trade data, including large-buy share, buy-order concentration, intraday aggressive buying, and informed buying or selling measures. After orthogonalization, the factors…

股票中國市場高頻交易因子投資
BigQuant

The document describes a study of four MSCI smart beta equity indexes and a market weighted benchmark. It uses principal component analysis (PCA) to separate shared market movements from strategy specific components, then regresses those components on Fama…

股票因子投資統計投資組合建構
BigQuant

This paper summary describes a reinforcement-learning approach to continuous-time mean-variance portfolio selection. It frames the problem as entropy-regularized relaxed stochastic control, aiming to balance theoretical tractability with practical…

投資組合建構機器學習風險管理
BigQuant

This research note explores whether patent data can reveal links between companies that are missed by industry or supply-chain groupings. It uses shared International Patent Classification information to estimate technological similarity, then tests whether…

股票因子投資動能均值回歸
BigQuant

This research summary reviews a study of how unexpected Federal Reserve policy changes relate to returns across firms with different financing constraints. Using U.S. company and stock data from 1994 to 2007, the study classifies firms by constraint indices…

股票統計事件驅動風險管理
BigQuant

The article presents a four-stage account of how quantitative traders might exploit retail attention around a fast-rising stock. It describes monitoring public sentiment and trading history to estimate likely stop levels, placing and canceling large pre-open…

股票市場微結構市場情緒交易執行
BigQuant

The document explains a backtesting context method that checks whether a sell order for a specified security remains unfilled. The method takes the security symbol as its argument and returns a Boolean value indicating whether an order is still awaiting…

交易執行股票
BigQuant

This Chinese-language post collects questions about factor research and strategy implementation, but does not provide answers. Topics include adding data factors, scheduling entries and exits, evaluating and combining factors, handling collinearity,…

股票因子投資機器學習統計