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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
Binance API docs
45 份文件
Quantopian 講座
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 proposes adding a 20-period average true range (ATR) volatility factor to a trading strategy, with the aim of improving its Sharpe ratio. It describes a regime-dependent relationship: higher ATR is associated with stronger returns in bull markets,…

波動率風險管理回測
BigQuant

This BigQuant community post reports that applying a lagged value in a query that joins stock prefactors directly to an index-component table can produce zero-filled results. The example calculates a two-period stock return using a lagged close price, then…

中國市場股票統計
BigQuant

This short forum answer addresses how to aggregate price-to-earnings data across stocks in an industry. It suggests using a grouped sum operation keyed by an industry classification and applying it to trailing-twelve-month P/E values in a stock-factor…

股票中國市場統計
BigQuant

This article proposes interpreting value, momentum, quality, and low-volatility returns through a recurring factor cycle inferred from factor performance itself. It describes normal periods, episodes when value suffers a major drawdown due to growth stocks…

股票因子投資動能均值回歸
BigQuant

This Chinese-language summary reviews a quantitative research team’s 2017 results across four areas: multi-asset allocation, index enhancement, factor timing, and commodity trading adviser strategies. It reports that an equity-and-bond active risk-parity…

中國市場多資產因子投資趨勢追蹤
BigQuant

The document describes preparing supervised-learning labels from Chinese daily stock bars. It calculates a forward price ratio using lead values, clips observations to the cross-sectional 1st and 99th percentile boundaries, and assigns the result as the…

股票中國市場機器學習統計
BigQuant

This report frames next-day direction in China’s Wind All A-share index as a binary classification task. It trains a decision-tree-based AdaBoost model on 51 daily features drawn from several markets and asset classes, including repo rates, credit spreads,…

中國市場股票機器學習回測
BigQuant

This event page outlines a presentation on moving from discovering individual factors to designing their portfolio weights. It identifies linear and nonlinear combinations and ICIR-based weighting as methods, with attention to their underlying rationale and…

因子投資投資組合建構回測
BigQuant

This shared open-source example builds a daily classifier for Chinese stocks using price and volume data, technical indicators, and three supervised models: a random forest, logistic regression, and a linear support vector classifier. Features include…

中國市場股票機器學習技術指標
BigQuant

This summary compares two research reports on protecting portfolios during market stress: one published before a major volatility episode and another written afterward. It frames their comparison around how investors assess defensive strategies before a…

風險管理選擇權動能因子投資
BigQuant

The report describes applying OpenFE, an enumerate-and-filter framework, to discover interpretable fundamental factors from Chinese companies’ balance sheets, income statements, and cash-flow statements. It first removes fields with substantial missing data,…

股票因子投資機器學習統計
BigQuant

This research summary describes a monthly sector-rotation framework for Chinese equities. It groups 29 CITIC first-level industries into financial, cyclical, consumer, and growth sectors, builds market-cap-weighted sector indices, and proposes selecting…

股票中國市場投資組合建構統計
BigQuant

This research summary describes a multi-factor approach to selecting Chinese convertible bonds. It treats each bond’s value as a combination of straight-bond value and embedded option value, and examines how bond returns relate to the underlying stock. The…

固定收益選擇權因子投資投資組合建構
BigQuant

This overview defines factors as common drivers of security returns and distinguishes systematic factor exposure from asset-specific risk. It traces the move from the market-only CAPM to multi-factor explanations such as the Fama–French market, size, and…

股票因子投資投資組合建構統計
BigQuant

The article argues that Rust can suit quantitative trading infrastructure where large data workloads, dense computation, concurrency, and low latency matter. It attributes this fit to Rust’s performance, memory and thread safety guarantees, and lack of…

交易執行高頻交易股票期貨
BigQuant

The document defines the Mass indicator using the high-low range. It first applies an exponential moving average to that range, then smooths the result with a second exponential moving average of the same length. The ratio of the first smoothed range to the…

技術指標波動率統計
BigQuant

This forum post compares backtest results for a 20-day and 110-day moving-average strategy on Vanke A shares across two platforms. The strategy buys when the shorter average exceeds the longer one and exits when it falls below, using full portfolio…

股票中國市場趨勢追蹤技術指標
BigQuant

This research summary describes an A-share market-impact model intended to narrow the gap between simulated strategy returns and realized portfolio returns. It argues that applying one fixed slippage rate cannot reflect how impact varies across stocks,…

股票交易執行市場微結構投資組合建構
BigQuant

This forum post presents a DAI query for filtering Chinese A-share records and asks how to save a large result table as an XLS spreadsheet for separate analysis. Its SQL selects dates, instruments, and derived indicators for price-limit events, including…

股票中國市場技術指標統計
BigQuant

This Chinese research summary examines the turn-of-month calendar effect, described as stronger returns in the first half of a month than in the second. It reports that a simple strategy of buying during the first half and shorting during the second…

中國市場股票
BigQuant

This research summary examines whether inventory cycle phases can help time broad sectors and the Shanghai Composite. It describes four phases—active restocking, passive restocking, active destocking, and passive destocking—and compares qualitative phase…

中國市場股票因子投資回測
BigQuant

The document raises a data-timing question about China’s Dragon-Tiger List, a report of stocks with notable trading activity. It names fields for returns one, two, and five days after a stock appears on the list, and says the five-day return is unavailable…

中國市場股票回測風險管理