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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
Quantpedia
86 份文件
TqSdk
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 A-share screening concept looks for stocks with at least five moving averages clustered together, low concentration, and a 20-day moving average above the 120-day average. The clustering condition seeks prices where several time horizons are close,…

股票中國市場技術指標趨勢追蹤
SuperMind

This Chinese A-share screening idea selects robot-concept stocks with circulating market value below 10 billion yuan, turnover between 3% and 12%, and a volume ratio above 1.5 but below 6. The stated rationale is to focus on robot-related small caps with…

股票中國市場技術指標風險管理
SuperMind

This A-share screening rule looks for trading activity within a 3% to 12% turnover range, an opening price within 5% of the 10-day closing-price average, and a closing price between 18 and 19 yuan. The article frames these conditions as a combination of…

股票中國市場技術指標市場微結構
SuperMind

The document proposes a screen for Shenzhen main-board stocks using reported buying pressure, valuation, and a historical dividend measure. The stated filters include a daily increase in holdings above 5%, a price-to-earnings ratio from 0 to 29.01, a…

股票中國市場因子投資市場情緒
SuperMind

This screening recipe combines three filters for Chinese equities: rank candidates by a capital-strength indicator, require the outstanding convertible-bond short name to be nonempty, and select stocks whose 20-day moving average is above the 120-day…

股票中國市場趨勢追蹤技術指標
SuperMind

This stock selection rule combines a positive MACD reading, a rising 30-day average, and year-over-year net profit growth above 20% and no more than 100%. The accompanying discussion presents MACD as a shorter-term trend filter, the average as a broader…

股票技術指標動能因子投資
SuperMind

This stock screen filters for a daily turnover rate between 3% and 12%, a pattern labeled “reversal” or “reverse engulfing,” and a positive price-to-earnings ratio. Its formula operationalizes the pattern with a range-based ratio threshold, while the Python…

股票均值回歸技術指標中國市場
SuperMind

This Chinese stock screen combines a positive MACD reading, a ratio of outside to inside trading volume above 1.3, and a 9:25 gain below 6%. Qualifying stocks are ranked by their individual price gains. The article discusses the early-session cap as a way to…

股票技術指標動能中國市場
SuperMind

This note proposes a short-term Chinese equity screen with three conditions: more than two limit-up sessions in the past 10 days, upward-diverging moving averages, and a daily increase-in-holdings share above 5%. It interprets these filters as signs of…

股票中國市場技術指標動能
SuperMind

This Chinese stock-selection note screens for shares with turnover from 3% to 12%, a reversal-style candle pattern, and at least two limit-up days within the prior 500 days. It presents the conditions as a combination of trading activity, price behavior, and…

股票中國市場技術指標動能
SuperMind

This note describes a Chinese equity screen that ranks stocks by capital strength and dividend payout. Its final stated rule selects stocks in the top 10% for capital strength and the top 25% for dividend payout, while the heading also references a dividend…

股票中國市場因子投資
SuperMind

This stock-screening note selects main-board shares with turnover between 3% and 12%, a robotics theme, circulating market value below 10 billion yuan, and an average price above its five-day moving average. The moving-average condition is presented as a way…

股票中國市場技術指標動能
SuperMind

This proposed screen focuses on Shenzhen main-board stocks and combines a daily position-addition share above 5% with a price-to-earnings ratio from 0 to 29.01 and a price-to-book ratio from 0 to 3.11. The post interprets a higher position-addition share as…

股票中國市場因子投資風險管理
SuperMind

This proposed equity screen ranks stocks by capital-flow strength, keeps stocks whose ten-day price change is positive but below 35%, and excludes stocks whose quoted 9:25 a.m. gain is 6% or higher. The price-change band seeks stocks that have risen recently…

股票中國市場動能技術指標
SuperMind

This proposed stock screen combines a ranking by large-order net volume or capital-flow strength with a requirement that the 2019 dividend payout ratio exceed 25%. The flow ranking is intended to identify stocks with stronger measured inflows, while the…

股票中國市場事件驅動技術指標
SuperMind

The proposed equity screen orders stocks by capital-flow strength and requires a dividend payout ratio above 25% in 2019, along with at least two limit-up sessions during a 500-day lookback. The article presents these conditions as signs of market attention,…

股票動能事件驅動因子投資
SuperMind

This stock screen combines a turnover-rate band of 3% to 12%, a reversal-style candle condition, and a close above the previous day’s low. It applies the filters to main-board stocks. The article describes the reversal condition through a measure based on…

股票技術指標動能
SuperMind

This post proposes screening stocks for at least five overlapping moving averages, a circulating share count no greater than 5.5 billion shares, and a 15-minute MACD histogram whose negative bars are shrinking. The author treats moving-average convergence as…

股票中國市場技術指標均值回歸
SuperMind

This post presents a short-term Chinese stock screen requiring turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and an auction-period return greater than -2% and less than 5%. It frames turnover as a measure of trading…

股票中國市場技術指標動能
SuperMind

This post describes a Chinese equity screen using capital inflows, a 2019 dividend ratio above 25%, and weekly MACD above its zero axis. It interprets stronger inflows as possible buying interest, the positive MACD condition as an indication of an uptrend,…

股票中國市場趨勢追蹤技術指標
SuperMind

This Chinese stock-screening post combines capital-flow strength, a 2019 dividend ratio above 25%, and a positive 10-day return below 35%. Its rationale is that strong inflows may signal market interest, dividends may indicate shareholder distributions, and…

股票中國市場動能因子投資
SuperMind

This intraday stock-selection rule combines three filters: rank stocks by volume ratio and retain the top 100, rank them by afternoon net inflow and retain the top 100, then require the opening price change at 9:25 to be below 6%. The post describes these…

股票中國市場動能回測
SuperMind

This stock-selection idea screens Chinese A-share listings for securities whose codes begin with 60 and that recorded at least two limit-up days within the prior 500 trading days. It orders candidates by capital strength. The accompanying discussion…

股票中國市場動能技術指標