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
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 study examines how factor exposure limits affect optimized portfolios built around the CSI 300 and CSI 500 indices. It reports that raising the limits can increase excess returns, drawdowns, and tracking error, so the change in return relative to the…

因子投資投資組合建構風險管理中國市場
BigQuant

This brief question and answer discusses how to choose moving-average pairs and crossover rules for a dual moving-average strategy applied to an individual stock or fund. It lists comparisons among several simple moving-average windows and asks which…

股票技術指標回測統計
BigQuant

This note describes two stock selection approaches, XGBoost and StockRank, using the same five inputs: ranked dividend yield, market capitalization, closing price, a 20-period price ratio, and average turnover. It also gives example hyperparameter…

股票機器學習因子投資回測
BigQuant

The document outlines a simple stock market study of whether shares that rise more than 1% on each of three consecutive days are more likely to gain the next day. It defines a signal for that three-day run and a next-day return outcome, then calculates…

股票動能統計回測
BigQuant

This research summary studies mainland Chinese stocks held through the Hong Kong–mainland Connect programs. It compares the holdings’ industry and Barra-style factor exposures with the CSI 300 and CSI 500, then tests the proportion of a stock held by…

中國市場股票因子投資回測
BigQuant

The report describes a sector-rotation framework that pairs quantitative clustering with macroeconomic reasoning. It first groups industries using features such as returns across market conditions, return on equity, and revenue growth, then makes limited…

股票多資產機器學習統計
BigQuant

This weekly review compares equity style factors across broad Chinese stock pools and major index constituents. It reports that size and beta performed relatively well during the week, while profitability and financial quality remained strong. Results for…

股票中國市場因子投資統計
BigQuant

This report studies factor performance within the SSE 50 rather than across the full market, arguing that analysis by investment universe can reveal patterns hidden by broad aggregate tests and can inform index enhancement or Smart Beta portfolios. It tests…

中國市場股票因子投資投資組合建構
BigQuant

This study tests whether hedge funds can time returns in particular industries and whether that ability predicts later performance. It estimates industry timing using rolling regressions on market-adjusted industry returns, then evaluates the resulting…

股票因子投資統計事件驅動
BigQuant

This BigQuant forum thread discusses whether rolling parameter optimization can run in simulated trading and whether newly optimized parameters are automatically applied to a strategy. Replies say that rolling optimization can work in simulated trading,…

回測機器學習
BigQuant

The author describes a stock reversal approach based on a prior limit-up move followed by a pullback, with a bullish candle engulfing a bearish one as a defining pattern. A proposed variation focuses on a leading stock's first bearish session and subsequent…

股票均值回歸機器學習高頻交易
BigQuant

This document introduces a lecture on deep reinforcement learning by researcher Matteo Hessel. It says the session discusses practical considerations and algorithms, along with implementing them using automatic differentiation tools such as JAX. The subject…

機器學習
BigQuant

The article explains the price-to-earnings ratio as a way to relate a stock’s price to its earnings per share. It illustrates that two shares with the same price can have very different P/E ratios when their earnings differ, and describes the ratio…

股票中國市場因子投資統計
BigQuant

The document summarizes research on long-horizon rotation between large-cap, high-ROE sectors and smaller-cap sectors. It argues that their relative performance can shift over periods of years, and that size-based and ROE-based rotations may move together.…

股票中國市場統計因子投資
BigQuant

This article outlines a method for anticipating business conditions in three Chinese consumer sectors: food and beverages, textiles and apparel, and retail. It treats financial measures such as revenue, net income, returns, margins, and operating efficiency…

股票因子投資統計回測
BigQuant

This report outlines a CANSLIM-inspired stock-selection model adapted to China’s A-share market. It first identifies price bases, including cup-and-handle, double-bottom, and butterfly patterns, then combines these setups with fundamental and technical…

中國市場股票技術指標動能
BigQuant

This Q&A compilation collects practitioner questions about developing, combining, and deploying quantitative strategies. Topics include variation between XGBoost rolling-training backtests, selecting and evaluating factors and models, overlapping holdings…

機器學習統計風險管理投資組合建構
BigQuant

This report surveys U.S.-listed growth-factor ETFs, describing their number, assets, growth over time, and return characteristics. It groups the funds by market-cap segment and notes that the strongest recent absolute performers were mostly large-cap…

股票因子投資美國市場投資組合建構
BigQuant

This single-stock strategy builds upper and lower price bands from the previous 20 days of closing prices, using the mean plus or minus two standard deviations. It enters when the close rises above the upper band and exits when the close falls below the…

股票突破波動率回測
BigQuant

This article recounts the 2022 nickel market crisis involving Tsingshan, Glencore, and the London Metal Exchange. It uses a simplified commodity-delivery analogy to explain how a seller with a large short futures position may face stress when prices surge…

大宗商品期貨風險管理市場微結構
BigQuant

The document answers a question about retrieving one company metric, such as management expenses, for multiple stocks. It points readers to a platform template for choosing the metric and explains that a code-list module can be used to enter the stock codes…

股票中國市場因子投資
BigQuant

This Chinese equity strategy combines two types of candidates: stocks in the top 30% by return over the prior 120 trading days, and stocks in the bottom 10% by performance over the prior 30 days. A candidate must also have net inflows from very large orders…

股票中國市場動能均值回歸
BigQuant

This tutorial explains the skip-gram model as a neural network trained to predict a nearby word from a chosen input word. Training examples are word pairs drawn from a configurable context window. The input word is represented as a one-hot vector, and a…

機器學習統計
BigQuant

The discussion concerns a visual trading workflow where an earlier filter can return no rows for a given day, causing a later rolling sequence window module to fail. One response explains that an empty input cannot be processed by that module as configured…

股票回測交易執行