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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
WonderTrader
14 份文件
Alphalens
14 份文件
backtesting.py
11 份文件
Technical Analysis
9 份文件
QTPyLib
8 份文件
Lumibot strategies
7 份文件
QuantRocket
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

12,226 份文件

SuperMind

This stock-selection method targets companies in the metaverse concept group, with relative volume above 1.5 and below 6, alongside afternoon net inflows from large orders. The document links large-order inflows to market sentiment and describes the…

股票技術指標市場情緒市場微結構
SuperMind

This A-share screening method combines a turnover-rate band of 3% to 12%, a positive but limited 10-day gain, and a positive large-order control measure above the stated threshold of 21. The document describes control as the difference between large buy and…

股票動能市場微結構技術指標
SuperMind

This stock screen combines membership in the metaverse concept group with an upward-sloping 30-day moving average and a requirement that at least five moving averages overlap. It is presented as a trend-following filter intended to find stocks with aligned…

股票趨勢追蹤技術指標
SuperMind

This Chinese stock-selection strategy screens for shares with turnover between 3% and 12%, year-over-year growth in net profit attributable to the parent company above 20% and at most 100%, and a positive trailing price-to-earnings ratio. The article frames…

股票中國市場因子投資技術指標
SuperMind

This document describes a Chinese equity screening rule combining turnover, year-over-year net profit growth attributable to parent-company shareholders, and recent price-limit activity. It selects stocks with turnover between 3% and 12%, profit growth above…

股票動能突破中國市場
SuperMind

This Chinese equity screening rule combines a daily price-range threshold, a market-cap ceiling, positive quarterly earnings, and a KDJ bullish crossover. The crossover is described as J moving above K, alongside recent indicator comparisons; the example…

股票技術指標風險管理中國市場
SuperMind

This post outlines a stock screen that combines a daily price-range threshold with a rising DEA signal, while applying geographic exclusions. It then suggests expanding the screen with valuation measures such as price-to-earnings and price-to-book ratios,…

股票技術指標動能中國市場
SuperMind

This post describes a historical A-share stock screen using an RSI reading below 65, a price range greater than 1%, and a 2021 date filter. It presents RSI as a gauge of price strength and overbought or oversold conditions, while the range criterion is…

中國市場股票技術指標回測
SuperMind

This stock-selection example screens Shenzhen main-board shares associated with the metaverse theme. Its stated criteria require price above the five-day moving average, positive price-to-earnings and price-to-book ratios, and upper bounds of 29.01 and 3.11…

股票中國市場技術指標均值回歸
SuperMind

This stock screen combines three conditions: membership in the metaverse industry, a 2021 listing year, and an opening price near the ten-day moving average of closing prices. The accompanying example describes both a crossover-style technical condition and…

股票中國市場技術指標
SuperMind

This Chinese equity screen first limits candidates to the metaverse theme, then requires the opening price at 9:25 to be less than six percent above the previous close. It also looks for the weekly five-period moving average to cross above the ten-period…

中國市場股票技術指標動能
SuperMind

This note describes a short-term screen for Chinese equities using three conditions: daily high-low amplitude above one percent, a closing price below 20, and a prior-day close that was not near the stated upper limit threshold. It presents the rules as a…

中國市場股票技術指標波動率
SuperMind

This stock-selection rule combines an amplitude threshold, a weekly moving-average crossover condition, and membership in the beverage and alcohol import-export industry. The article presents the amplitude filter as a way to constrain price movement, the…

股票技術指標動能中國市場
SuperMind

This stock screen combines three conditions: membership in the metaverse theme, a positive institutional-flow measure, and MACD above zero. The document frames theme membership as a way to focus on a popular sector, institutional activity as a directional…

股票動能技術指標中國市場
SuperMind

This Chinese A-share screening example combines three conditions: a 14-period RSI below 65, market capitalization of at least 200 million, and a 10-day price gain above zero but below 35%. It describes the screen in plain language and provides sample formula…

股票技術指標動能中國市場
SuperMind

The article proposes screening Chinese stocks using three conditions: daily amplitude above 1%, at least two limit-up events within a 500-day lookback, and prior-day auction turnover above 0.26. It supplies indicator expressions and a Python-style example…

中國市場股票技術指標動能
SuperMind

This Chinese stock screen combines three conditions: amplitude above 1, a shortening negative MACD histogram on a 15-minute interval, and exclusion of companies classified as science and technology innovation listings. The MACD condition is intended to find…

股票中國市場技術指標動能
SuperMind

This community post describes a China A-share stock screen that combines recent price behavior with valuation and listing filters. The stated criteria include Shenzhen main-board stocks with positive price-to-earnings and price-to-book ratios below specified…

股票中國市場動能技術指標
SuperMind

This stock screen combines three technical conditions: daily high-low amplitude above a threshold, MACD above the zero line, and a rising, ordered set of short- to longer-term moving averages. The intended interpretation is that price movement indicates…

股票中國市場技術指標動能
SuperMind

This stock selection rule combines membership in the metaverse theme with a morning price-change cutoff and a historical dividend ratio. The stated rationale is that limiting the early-session rise may help identify rebound candidates, while a dividend ratio…

股票中國市場技術指標因子投資
SuperMind

This proposed A-share stock screen combines turnover between 3% and 12%, a newly formed KDJ bullish crossover, and return on equity above 15% in each of the past five years. The article presents turnover as a measure of trading activity, KDJ as a technical…

股票中國市場技術指標因子投資
SuperMind

This proposed daily A-share screen combines a positive MACD reading, a share price below 12 yuan, and a latest close above the previous session’s low. The article says selections are made before the market opens and frames the price and MACD conditions as…

股票中國市場技術指標動能
SuperMind

This Chinese-language article describes an equity screen based on price amplitude, prior-day trading activity, and opening-auction turnover. The stated final rule selects stocks whose amplitude exceeds one, whose prior-day turnover exceeds 60 million, and…

股票波動率技術指標統計