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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
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 explains how to refer to the prior day’s K and D values from a KDJ indicator in a factor expression. It recommends applying a one-period shift to the desired indicator series. The example uses the K series, and the same approach applies to the D…

技術指標
BigQuant

This Chinese equity strategy seeks stocks that open at the daily upper price limit and remain there, using a platform field to identify the condition. It first excludes special-treatment stocks, suspended stocks, and Beijing Stock Exchange listings, then…

股票動能中國市場部位規模
BigQuant

This meetup outline raises questions about constructing sector or industry factors, measuring correlations among industries, and choosing industry classifications that reflect granularity and supply-chain relationships. It identifies these as topics for…

中國市場股票因子投資交易執行
BigQuant

This short assignment outlines a basic path from investment experience to systematic strategy development. The author mentions buy-and-hold contributions to gold and Nasdaq exposure, stock subscriptions, and stock selection informed by company fundamentals,…

股票大宗商品技術指標回測
BigQuant

This article presents four ways traders may interpret unusually high trading volume in stocks. After a prolonged decline, a volume spike is framed as a possible sign of selling exhaustion and accumulation. Heavy volume after an extended rise is treated as a…

股票技術指標突破風險管理
BigQuant

This report introduces quantitative funds in China and distinguishes three operating models. Active quantitative funds use models to select stocks in search of returns above a benchmark. Index-enhanced funds combine index exposure with model-based stock…

中國市場股票因子投資投資組合建構
BigQuant

This research constructs a stock-selection factor from the short-term correlation between trading volume and price movement. It uses that relationship to distinguish stocks whose volume and price move together from those that diverge, then ranks stocks for a…

股票因子投資統計回測
BigQuant

This research summary describes a corporate-governance factor for Chinese equities, built from 58 measures across board structure, ownership and shareholders, financial governance, compensation and incentives, governance conduct, and external oversight. It…

股票中國市場因子投資投資組合建構
BigQuant

This research summary measures listed companies’ earnings quality by the relative size of accruals in reported profits, then tests accruals as a stock selection factor in China’s A-share market. Its regression findings describe operating profit as…

中國市場股票因子投資統計
BigQuant

The document challenges the claim that US rules define high-frequency trading by a fixed limit of 15 orders per second, contrasting that claim with a behavior-based way of identifying high-frequency activity. It lists characteristics such as automated order…

高頻交易市場微結構交易執行美國市場
BigQuant

This brief platform discussion asks how to inspect the output of an intermediate neural-network layer in a visual workflow. One reply recommends adding and running a notebook cell after execution, inspecting the layer object’s properties, and reading its…

機器學習
BigQuant

This brief troubleshooting note addresses a Python AttributeError raised when a strategy tries to access a last-sale-date attribute on a Zipline equity object. The suggested correction is to build the holdings mapping from each position’s equity symbol and…

股票
BigQuant

This account develops an equity-selection process that compares equal-weighted factor rankings with weights that adapt to each factor’s recent Rank IC information ratio. It describes screening a large factor pool for missing data, outliers, redundancy,…

中國市場股票因子投資統計
BigQuant

The document describes five visual clues that it associates with concentrated control of a stock’s float: prices rising on declining volume, orderly pullbacks that hold support, brief intraday volume spikes, stair-step advances with bounded consolidations,…

股票技術指標動能突破
BigQuant

The document describes four chart patterns that it interprets as possible consolidation after a stock reaches its daily limit-up price: a three-candle sequence with long upper and lower shadows, a sideways stretch of small bullish candles or dojis above the…

股票技術指標突破動能
BigQuant

This Chinese equities research reproduction develops a cross-sectional factor from minute-level volume surges. A surge is defined when the minute-to-minute volume increase exceeds that stock’s daily average increase by one standard deviation. For each surge,…

股票因子投資高頻交易統計
BigQuant

This document summarizes a research report on recurring changes in traditional equity factor performance, including value, momentum, low volatility, and quality. Its central idea is to identify factor regimes from the factors’ own return histories, since the…

股票因子投資動能波動率
BigQuant

This brief indicator note introduces Chaikin Money Flow (CMF) and gives its calculation from high, low, close, and volume data over a lookback window. For each bar, it weights volume according to where the close falls within that bar’s high-low range: closes…

技術指標統計
BigQuant

This research summary reviews the US retirement system through three pillars: federal retirement benefits, employer-sponsored pension plans, and individual retirement accounts. It compares their contribution or collection arrangements, asset management, and…

多資產投資組合建構股票
BigQuant

This Chinese-language research summary reviews interim earnings forecasts for ChiNext, a Chinese growth-stock board. It reports that 703 listed companies had published forecasts and evaluates profit growth using free-float market-cap weighting. The analysis…

股票中國市場統計因子投資
BigQuant

This study proposes a monthly stock-selection factor based on how prices respond when individual stocks experience unusually large intraday increases in trading volume. It identifies spikes by comparing each minute’s volume increase with that stock’s daily…

股票因子投資技術指標回測
BigQuant

A BigQuant user reports an error stating that an expression argument was expected to be a string but instead was null. The reported fix is to enable the position formula option in the position allocation module. This identifies a configuration setting that…

交易執行部位規模
BigQuant

The report studies momentum-based rotation among 15 E Fund industry, theme, and selected broad-market ETFs. It compares 20-, 60-, and 120-day return momentum measures, using information coefficient and ranked portfolio tests over a historical Chinese market…

中國市場多資產動能投資組合建構