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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

12,226 份文件

SuperMind

This stock screen combines price activity and liquidity filters with a 15-minute MACD histogram condition. It selects stocks whose stated amplitude exceeds 1, whose previous-day trading amount exceeds 60 million, and whose MACD green bars are shortening. The…

股票中國市場技術指標動能
SuperMind

This Chinese-market stock screen combines four conditions: RSI below 65, a gain above 1% on the current day, main-board listing, and three consecutive limit-up sessions on the previous day. The article frames the RSI and recent price strength as technical…

股票中國市場技術指標動能
SuperMind

This proposed Chinese stock screen combines turnover, the ratio of outside to inside trading volume, and the day’s price change. The stated criteria select stocks with turnover from 3% to 12%, outside volume more than 1.3 times inside volume, and a daily…

股票中國市場技術指標市場微結構
SuperMind

This proposed Chinese equity screen selects stocks using turnover, circulating share size, and recent limit-up activity. Its initial conditions call for turnover between 3% and 12%, a circulating share count no greater than 5.5 billion, and more than two…

股票中國市場動能風險管理
SuperMind

This stock-screening proposal combines three conditions: a positive recent net-inflow measure above 50%, a positive product of price change and net large-order volume, and an opening move below 6%. The post interprets these as filters for capital inflow,…

股票中國市場市場微結構市場情緒
SuperMind

This Chinese A-share screening rule selects stocks classified in the metaverse industry, with prior-day actual turnover between 3% and 28% and circulating market value between 5 billion and 10 billion yuan. The post gives equivalent screening conditions and…

股票中國市場統計
SuperMind

This Chinese stock screen selects shares with amplitude above 1, a closing price above the five-day moving average, and a positive return. Its indicator examples express amplitude relative to the previous close, compare the close with the moving average, and…

股票中國市場動能技術指標
SuperMind

This Chinese equity screening idea combines a daily amplitude threshold above 1, excluding stocks marked ST, with a five-part limit-up method and at least one limit-up during the prior 25 days. It also says to select stocks before 10 a.m. The accompanying…

股票中國市場動能技術指標
SuperMind

This Chinese-language post describes a stock selection rule combining three signals: daily high-low range above 1%, a newly formed upward KDJ crossover, and a 14-period ratio of volume on rising sessions to volume on falling sessions above 1.3. It proposes…

股票技術指標動能中國市場
SuperMind

This Chinese stock screen combines three filters: price amplitude above a stated threshold, a shrinking negative MACD histogram on a 15-minute chart, and exclusion of stocks that hit the daily upper price limit the previous day. The proposed rationale is to…

中國市場股票技術指標動能
SuperMind

The post proposes a Chinese equity screen combining daily price movement, recent limit-up activity, and revenue growth. Its stated selection logic looks for amplitude above one, more than two limit-up days within ten days, and 2021 revenue greater than 1.1…

股票中國市場動能因子投資
SuperMind

This document describes a Chinese stock-screening rule that combines a sector filter, a price condition, and reported earnings growth. It selects companies classified in the metaverse industry when the current open is around the ten-day moving average and…

股票中國市場技術指標因子投資
SuperMind

This stock-selection idea combines daily amplitude above 1, a positive weekly MACD histogram, and return on equity above 15% for five consecutive years. It pairs a price-activity condition and a technical momentum signal with a measure of sustained…

股票中國市場技術指標動能
SuperMind

This Chinese stock-screening post combines four conditions: amplitude above 1, current trading volume above 10,000 lots, an open above the previous close, and a 15-minute MACD histogram described as shortening while negative. It presents these as signs of…

股票中國市場技術指標動能
SuperMind

This Chinese stock-screening post combines price activity, a positive weekly MACD reading, and a measure relating the prior day’s turnover to current auction volume relative to prior volume. Its final proposed screen adds valuation and growth filters: a…

中國市場股票技術指標動能
SuperMind

This document describes a historical stock-selection screen based on daily price range and turnover. It selects stocks whose high-to-low range exceeds a stated threshold and whose turnover rate falls within a specified band, with the dates restricted to…

股票波動率技術指標中國市場
SuperMind

This post proposes screening Chinese stocks associated with the metaverse theme using a long-term price trend condition and an activity measure combining the prior session’s turnover rate with the current opening auction volume relative to prior volume. It…

股票中國市場技術指標回測
SuperMind

This document proposes screening stocks in the metaverse theme for a circulating share count no greater than 5.5 billion and at least one announcement during 2021. Its example describes obtaining current A-share listings and announcement dates, then…

股票中國市場事件驅動
SuperMind

The document describes an A-share stock screen combining three filters: membership in the metaverse theme, a closing price above the 250-day moving average, and specified upper bounds for price-to-earnings and price-to-book ratios. It also limits the…

股票中國市場技術指標因子投資
SuperMind

This Chinese stock-screening example selects shares in the metaverse theme that close above their 250-day moving average and have recorded at least two limit-up sessions over the past 500 days. The author frames the long moving average as a trend or…

中國市場股票技術指標動能
SuperMind

This stock screen combines three conditions: turnover within a stated range, appearance on the prior day’s market leaderboard, and positive net buying by major participants during the opening auction. The article interprets these filters as a way to find…

股票市場情緒事件驅動風險管理
SuperMind

This post describes a Chinese equity screening rule combining a capital-interest measure, positive price-to-earnings ratio, and a revenue comparison. Capital interest is represented by indicators such as turnover rate or volume ratio, with stocks ranked from…

股票中國市場因子投資統計