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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

12,226 份文件

SuperMind

The document describes a Chinese A-share screening rule for stocks associated with the metaverse theme. It combines a price condition relative to the 250-day moving average with a fixed closing-price condition. The prose refers to the prior day’s price being…

股票技術指標中國市場風險管理
SuperMind

This post describes a stock screen for Shenzhen main-board shares using a price-to-earnings range of 0 to 29.01, a price-to-book range of 0 to 3.11, a 2019 dividend payout ratio above 25%, and an amplitude condition above 1. It frames the filters as a…

股票中國市場因子投資風險管理
SuperMind

This post proposes a Chinese stock screen combining three conditions: at least five moving averages converge, the prior day’s turnover exceeds 8%, and the 30-day moving average is rising. The author interprets convergence as relatively stable prices, high…

股票中國市場技術指標動能
SuperMind

This index timing method fits a quadratic function to a local segment of a historical price series, using either closing prices or the average of opening and closing prices. It treats the slope at the newest fitted point as an indicator of whether the series…

中國市場股票技術指標統計
SuperMind

The proposed A-share screen selects stocks whose price amplitude exceeds 1, excludes Beijing-listed shares, and requires the stock to have appeared on the previous day’s Dragon-Tiger list, a disclosure of notable trading activity. The post frames amplitude…

股票中國市場技術指標事件驅動
SuperMind

This short-term stock selection method combines three conditions: price amplitude above 1, yesterday’s turnover multiplied by today’s opening-auction volume divided by yesterday’s volume between 0.5 and 2, and an outside-to-inside volume ratio above 1.3. The…

股票中國市場市場微結構技術指標
SuperMind

The document outlines an equity screening rule combining a daily high-low range greater than one percent of the prior close, weekly MACD above zero, and exclusion of stocks that hit the daily upper price limit on the previous day. It presents these…

股票技術指標動能中國市場
SuperMind

The document describes a Chinese A-share stock screen combining price amplitude above 1%, a circulating share count no greater than 5.5 billion, and auction-period price movement accompanied by large and extra-large buy-flow volume above the stated…

股票中國市場波動率市場微結構
SuperMind

The document proposes screening Chinese A-share stocks using three conditions: daily price amplitude above 1%, a nonempty convertible-bond name, and at least one limit-up event within the preceding month. It interprets amplitude as a volatility filter, the…

股票中國市場波動率突破
SuperMind

The document explains moving averages as averages of recent closing prices and introduces Granville’s eight buy and sell signals. These compare price with a moving average, using line crossings, direction, and distance from the average to suggest entries or…

期貨技術指標趨勢追蹤
SuperMind

This stock-selection rule focuses on companies in the metaverse industry that recorded at least one limit-up day during the previous 25 days. It further requires the current volume ratio to be above 1.5 and below 6, where the ratio is described as trading…

中國市場股票動能技術指標
SuperMind

These reading notes survey high-frequency trading from market structure through strategy and infrastructure. They describe electronic order books, the roles of investors, market makers, arbitrageurs, and directional predictors, and how market makers earn…

高頻交易市場微結構做市套利
SuperMind

This proposed Chinese equities screen selects non-special-treatment stocks with daily amplitude above 1 and a product between 0.5 and 2: the previous day's turnover rate multiplied by today's opening-auction volume divided by the previous day's volume. It…

股票中國市場技術指標市場情緒
SuperMind

This note outlines a mainland China stock screen requiring RSI below 65, a daily gain above 1%, main-board eligibility, and MACD above zero. It presents RSI as a way to identify comparatively weak stocks that may rebound, the daily gain as a short-term…

股票技術指標動能趨勢追蹤
SuperMind

This note proposes a Chinese equity screen combining a historical dividend payout ratio above 25%, a ranking by large-order net volume, and an intraday price range greater than 1. Its rationale is to mix a short-term price and order-flow signal with a…

股票市場微結構波動率因子投資
SuperMind

This note describes a mainland China stock screen that combines RSI below 65, a daily price gain above 1%, main-board eligibility, and weekly MACD above zero. The stated rationale is to pair a momentum signal from the day’s gain with a longer-term trend…

股票技術指標動能趨勢追蹤
SuperMind

This proposed screen targets stocks in the metaverse industry that experienced a limit-up event within the previous 25 days and meet company-quality criteria. The article describes those criteria broadly, including research capability, company scale,…

股票中國市場事件驅動因子投資
SuperMind

This Chinese equity screening approach combines three technical conditions: daily price amplitude above 1, a positive weekly histogram signal, and the 20-day moving average above the 120-day moving average. The stated rationale is that larger amplitude…

股票中國市場技術指標動能
SuperMind

This screening method focuses on stocks in the metaverse industry. It selects shares where the KDJ indicator has just formed a bullish crossover and the circulating share count is no more than 5.5 billion. The proposed selection is run before 10 a.m. on each…

股票中國市場技術指標動能
SuperMind

This Chinese stock-screening article combines three conditions: a 14-period RSI below 65, best-bid volume greater than best-ask volume, and an opening price within five percent of the ten-day moving average. The approach uses RSI as a price-condition filter,…

中國市場股票技術指標市場情緒
SuperMind

This Chinese stock-screening article describes a rule-based selection method combining daily price amplitude, a weekly moving-average crossover, and circulating market capitalization. It targets shares whose weekly five-period moving average crosses above…

中國市場股票技術指標趨勢追蹤
SuperMind

This Chinese A-share screening concept selects stocks whose daily high-low range exceeds a stated threshold, excludes stocks that reached the daily price limit the previous day, and ranks the remaining names by individual-stock market heat. The rationale is…

股票中國市場動能市場情緒