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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

The post describes a Chinese stock-selection screen based on daily amplitude above 1, a turnover-based measure between 0.5 and 2 that combines the prior day's turnover with the current auction volume relative to the prior day's volume, and a stated price…

股票技術指標中國市場回測
SuperMind

This Chinese-language post describes an equity screen combining three conditions: price amplitude above a threshold, a dividend payout ratio above a threshold for 2019, and a MACD value below zero two trading days earlier. The rationale is to combine a…

股票技術指標因子投資中國市場
SuperMind

This post outlines a Chinese stock screen using a 2019 dividend-ratio threshold above 25%, an RSI below 65, and a rule excluding stocks that hit the daily price limit on the prior day. Its stated final selection logic adds price-to-earnings below 50 and…

股票中國市場技術指標因子投資
SuperMind

This post describes a Chinese equity screen combining three filters: market capitalization below 10 billion yuan, no loss history, and a high ranking on large-order net flow or capital strength. The proposed rationale is that smaller profitable companies…

股票中國市場市場微結構技術指標
SuperMind

This A-share screen looks for stocks with daily price amplitude above 1%, a volume ratio between 1.5 and 6, and at least one daily gain of 10% or more during the preceding 25 trading days. The stated logic seeks active but not extreme trading and recent…

股票中國市場波動率動能
SuperMind

This proposed A-share screen combines capital-strength ranking, the five stocks with the highest auction amount for the day, and a dividend ratio above 25% in 2019. Its expanded final logic adds price-to-earnings below 30, price-to-book above 1, a bullish…

股票中國市場因子投資技術指標
SuperMind

This A-share stock screen combines a relative strength index below 65 with an external-to-internal trade volume ratio above 1.3 and a positive institutional-flow measure. It presents the indicators as a way to combine a technical condition with trading…

股票中國市場技術指標市場情緒
SuperMind

This note describes an A-share stock screen that first requires price amplitude above a threshold and at least three years since listing, then ranks eligible stocks by capital strength. Its stated final version selects the top half and proposes combining the…

股票中國市場風險管理
SuperMind

This Chinese stock-selection proposal screens for turnover between the stated bounds and greater displayed buying volume than selling volume at the best quote. It then looks for a positive price change during the auction and aggregate buying by large and…

股票市場微結構市場情緒交易執行
SuperMind

This Chinese stock screening proposal combines daily price movement with a short-term trend filter. It seeks stocks whose amplitude exceeds a stated threshold, whose close is above the prior five-period moving average and whose moving average is rising, and…

股票動能技術指標
SuperMind

The document introduces neural networks as a machine learning approach for quantitative stock selection and says they are applied to predicting whether stock prices will rise or fall. It briefly describes a neural network as interconnected adaptive units…

股票機器學習
SuperMind

This post outlines a Chinese A-share screen using turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a revenue comparison requiring 2021 revenue to exceed 2018 revenue by more than ten percent. It also describes ranking…

股票中國市場動能因子投資
SuperMind

This post describes a Chinese A-share screening rule that combines daily price range with a fresh KDJ crossover and excludes Beijing-listed stocks. The range filter looks for movement greater than one percent, while the KDJ condition requires the J line to…

股票中國市場技術指標波動率
SuperMind

The screen selects equities with turnover between 3% and 12%, a flag indicating appearance on the prior day’s trading leaderboard, and a volume ratio above 1.5 but below 6. It is presented as a way to find active stocks with potentially notable price action.…

股票中國市場技術指標動能
SuperMind

This A-share stock screen combines daily price range, relative trading volume, and recent limit-up activity. It selects stocks whose high-to-low range is at least 1% of the low, whose volume is between 1.5 and 6 times its five-day average, and whose recent…

股票中國市場技術指標動能
SuperMind

The proposed screen selects Shanghai-listed stocks whose turnover lies between 3% and 12%, then ranks or filters them for a strong increase in the K value of the KDJ stochastic indicator. The accompanying Python example retrieves listed stock data and daily…

股票中國市場技術指標動能
SuperMind

The document proposes a Chinese equity screen combining metaverse industry membership, a rounded price pattern, market capitalization below a stated ceiling, and positive return on equity as a proxy for avoiding loss-making companies. It frames the…

中國市場股票技術指標因子投資
SuperMind

The document describes a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, a newly formed KDJ golden cross, and a concentration measure below 20%. Its explanation presents turnover as a liquidity filter, the KDJ crossover as…

股票中國市場技術指標動能
SuperMind

The document outlines a Chinese equity screen combining a high 2019 dividend payout ratio, a recent increase in holdings, and a requirement that the previous session was not limit-up. It later adds price-to-earnings and price-to-book thresholds and a minimum…

股票中國市場因子投資
SuperMind

This post presents a Chinese stock selection rule combining turnover, displayed order-book quantities, and prior-day price-limit behavior. It keeps stocks with turnover between 3% and 12%, where first-level buy quantity exceeds first-level sell quantity, and…

股票市場微結構市場情緒中國市場
SuperMind

This Chinese-language post describes a stock screen that selects companies in the metaverse theme, requires the prior close to be above a 250-day moving average, and filters for a daily return between -5% and 2.6%. It includes a brief explanation of the…

股票技術指標中國市場
SuperMind

This post describes a Chinese equity screen combining three conditions: daily amplitude above a threshold, a weekly five-period moving average crossing above the ten-period average, and ranking by the day’s opening auction value. It proposes selecting the…

股票動能技術指標中國市場
SuperMind

This stock-selection example screens within the metaverse theme for shares that had a limit-up event during the prior twenty-five days and were marked as controlled by major funds on the previous day. The article presents these conditions as a way to find…

股票中國市場動能技術指標