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

This meetup note surveys several topics in equity quant work. It outlines reversal-factor ideas based on recent returns, technical indicators such as RSI and Bollinger Bands, and fundamental changes such as valuation or a return to profitability. It suggests…

股票均值回歸技術指標因子投資
BigQuant

This assignment outlines a style-rotation process built from three stock strategies: small-capitalization, below-book-value, and oversold-rebound approaches. After backtesting each strategy, it proposes saving the return and position series, then comparing…

中國市場股票因子投資均值回歸
BigQuant

This article proposes four warning signs to watch for during an equity boom: historically extreme valuation multiples, a high ratio of total stock-market capitalization to GDP, broad insider selling, and speculative surges in weak or distressed stocks. It…

股票風險管理市場情緒中國市場
BigQuant

This report examines how portfolio optimization settings affect a multi-factor equity strategy. It considers the interaction of active-weight limits with the lambda coefficient, the share of non-index constituents, industry and size exposures, turnover…

股票因子投資投資組合建構風險管理
BigQuant

This Chinese-language research summary examines analyst consensus estimates as a source of information beyond company financial statements and trading data. It cautions that analyst forecasts tend to be optimistic and that A-share consensus estimates often…

股票因子投資中國市場回測
BigQuant

The author describes a stock-selection approach intended for people who cannot monitor prices throughout the trading day. Signals are checked at 2:50 p.m.; the proposed routine is to buy a leading candidate scoring above 6 before the close, and to skip…

股票中國市場動能回測
BigQuant

This short platform discussion distinguishes a backtest’s pre-market processing from live or simulated trading. In a backtest, the pre-market step may access the current day’s opening price, allowing a rule to use that price to decide on afternoon trading…

回測交易執行
BigQuant

This note outlines a basic toolkit for constructing low-frequency factors from price and trading data. For each selected input, it proposes calculating rolling means, sums, standard deviations, and skewness over several lookback windows, ranging from short…

股票因子投資技術指標統計
BigQuant

The discussion addresses a user who sees a cloud task appear stopped after reopening a browser and asks for more detailed logs. The platform response says closing the browser does not stop the program running in the cloud, but output logs cannot be…

回測交易執行
BigQuant

The document raises a question about reproducing a 60-day moving-average comparison in a Chinese quantitative research platform. The user’s feature flags observations when a close-price series is below a 60-day mean calculated from prices divided by an…

技術指標統計股票
BigQuant

This note presents a simple crossover interpretation of Kaufman’s Adaptive Moving Average. It describes a possible entry when price has been below the indicator and a bullish candle moves above it. A downward cross, especially when the indicator changes…

技術指標趨勢追蹤股票
BigQuant

This brief BigQuant discussion answers how to retrieve the MACD histogram value for the day on which the highest close occurred within a prior 30-day window. The suggested workflow is to use a time-series argmax function to locate the offset of the maximum…

技術指標股票
BigQuant

The document explains MACD as a trend and momentum indicator made up of a MACD line, a signal line, and a histogram. It describes bullish signals when the MACD line crosses above the signal line or rises while below zero, and bearish signals when it crosses…

技術指標動能趨勢追蹤股票
BigQuant

This research summary describes adapting daily price-volume alpha research to intraday high-frequency data for stock selection. It examines relationships between price and volume, including ordinary and unusual activity, and reports constructing three…

股票高頻交易因子投資統計
BigQuant

This brief Chinese-language forum post reports a data-quality issue discovered while debugging backtests: some runs returned no results, and inspection showed that certain factors were empty in many cases. The author notes that noticing the missing values…

回測機器學習統計
BigQuant

This technical note introduces the Money Flow Index (MFI) and outlines its calculation from high, low, close, and volume data over a chosen lookback period. It first computes typical price as the average of the day's high, low, and close. Volume-weighted…

技術指標股票統計
BigQuant

The post reports a BigQuant backtest failure with a KeyError for the start_date field. The example pipeline screens Chinese stocks, uses recent fund holdings and moving-average conditions to generate signals, ranks selected stocks by market capitalization,…

中國市場股票技術指標回測
BigQuant

This report excerpt reviews Chinese equity market performance and factor behavior for the week summarized in an early 2020 research note. It says major indices and most sectors fell during the week, while quality factor effectiveness improved and analyst…

股票因子投資動能均值回歸
BigQuant

This essay argues that experienced investors may communicate in a direct, plainspoken way because they have worked through complexity and learned to focus on what they understand. It frames simplicity as the result of discernment rather than lack of…

風險管理統計
BigQuant

This article explains how a rolling average smooths a time series and why longer lookback windows produce smoother but slower signals. It compares simple, exponential, linearly weighted, triangular, and volatility-adjusted moving averages, focusing on how…

技術指標趨勢追蹤動能期貨
BigQuant

This document summarizes lifecycle funds, which adjust their asset allocation as a target date approaches. The described approach gradually reduces portfolio risk over time, with the aim of matching investment risk to the holder’s changing capacity for risk…

多資產投資組合建構風險管理中國市場
BigQuant

The note addresses a stock forecasting workflow that displayed an unexpected prediction date and failed when publishing a simulated trade. Its proposed fix is to make sure the training period and prediction period are not set to the same dates. This is a…

股票機器學習
BigQuant

This document introduces a pivot indicator that uses high and low prices together with left- and right-strength parameters. It describes locating local lows and highs within a rolling window whose size depends on those settings, then comparing how recently…

技術指標統計
BigQuant

This short exchange explains how to interpret a long-short portfolio return in factor analysis and how to select a chosen group from a factor-ranked universe. It describes the long-short spread as the return from buying the lowest-ranked group and selling…

因子投資投資組合建構中國市場