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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

This Chinese A-share screening example combines a metaverse industry filter with a volume ratio between 1.5 and 6 and a positive weekly red-bar signal. Its final version adds a circulating market capitalization cap of 20 billion yuan. The article supplies…

股票中國市場技術指標動能
SuperMind

This proposed stock screen selects shares with turnover between 3% and 12%, greater displayed volume at the best bid than at the best ask, and an opening price near the 10-day moving average. The stated rationale is to combine trading activity with a simple…

中國市場股票技術指標市場微結構
SuperMind

This proposed China A-share screen combines three conditions: turnover between 3% and 12%, a newly formed KDJ bullish crossover, and classification in the metaverse industry. The rationale is to avoid unusually inactive or excessively active shares, use the…

中國市場股票技術指標動能
SuperMind

This document starts with an A-share selection idea based on metaverse-sector membership, a rounded price pattern, and a current low below the prior day's low. It then proposes a different, expanded screen: a rounded pattern, price above the 20-day moving…

股票中國市場技術指標動能
SuperMind

This document outlines a proposed A-share screen that excludes Beijing-listed stocks, selects shares whose high-to-low amplitude exceeds 1%, and looks for a prior-day 9:15 matching price equal to the limit-down price. It frames the amplitude filter as a way…

股票中國市場波動率市場情緒
SuperMind

This document describes a Chinese A-share screening rule that combines turnover, a recent limit-up event, and relative trading volume. Its stated criteria are turnover between 3% and 12%, at least one limit-up in the prior 25 days, and a volume ratio above…

股票中國市場技術指標動能
SuperMind

This stock-selection method combines a positive MACD reading, upward expansion or alignment of short moving averages, and year-over-year growth in net profit attributable to parent-company shareholders between 20% and 100%. The intended logic mixes trend…

股票中國市場技術指標動能
SuperMind

This technical stock screen looks for daily amplitude above 1%, a share price below 20, and no rising session over the previous seven trading days. The article interprets a run of declines as a possible sign that a stock is depressed and could rebound, while…

股票中國市場技術指標均值回歸
SuperMind

This proposed stock screen selects companies with turnover between 3% and 12%, a positive product of price change and net volume from very large orders, market capitalization below 10 billion yuan, and no reported loss. The article treats turnover as a…

股票中國市場市場微結構交易執行
SuperMind

This A-share screening rule combines four filters: daily amplitude above 1%, market capitalization below 10 billion yuan, positive trailing net profit, and a nonempty convertible-bond name. The accompanying discussion presents the profit and size filters as…

股票中國市場波動率技術指標
SuperMind

The screen selects stocks with turnover rates between 3% and 12%, a rising KDJ K value below 100, and a listing date earlier than a chosen cutoff. The KDJ condition is implemented by checking whether the current K value exceeds the prior value, while the…

股票技術指標動能統計
SuperMind

This A-share screening rule selects stocks classified in the metaverse theme that appeared on the previous day’s trading leaderboard and whose previous-day closing price was above the 250-day moving average. The document outlines the conditions and gives…

股票技術指標動能中國市場
SuperMind

The proposed screen selects Chinese stocks associated with the metaverse theme, requires circulating market capitalization above the stated threshold, and looks for large-order net volume above 0.05 for at least three consecutive days. The article interprets…

股票中國市場動能技術指標
SuperMind

The post proposes screening Chinese stocks by price amplitude, calendar year, and shareholder concentration. Its stated rules require amplitude above 1%, observations from 2021, and a concentration measure between 20% and 70%. It interprets higher amplitude…

股票技術指標中國市場風險管理
SuperMind

The document describes an A-share stock screen combining an RSI below 65, seven consecutive down sessions, and a daily return between -5% and 2.6%. It presents the rules as a way to find stocks that have weakened recently without showing a strong daily move,…

股票技術指標中國市場回測
SuperMind

This post describes a Chinese stock screen using turnover between stated bounds, three consecutive declining closes, and a prior closing price above its 250-day moving average. It includes a technical-indicator formula and a Python example that queries daily…

股票技術指標趨勢追蹤中國市場
SuperMind

This post describes a Chinese equity screening rule that selects stocks with a six-period RSI below a threshold, a share price below a stated ceiling, and a positive return over the recent ten-day interval that remains below an upper bound. It gives an…

股票技術指標動能中國市場
SuperMind

This document describes a Chinese equity screen requiring daily turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than 100%, and a positive return from the day’s open. It…

股票中國市場因子投資技術指標
SuperMind

This document describes a Chinese equity screen combining daily turnover, listing age, price movement, and large-order net volume. It selects stocks with turnover between 3% and 12%, listed in 2021, whose daily return multiplied by a large-order net-volume…

股票中國市場市場微結構技術指標
SuperMind

The document describes a Chinese A-share screening strategy that combines daily turnover, the opening price relative to the 10-day moving average, robot-sector membership, and a circulating-market-value ceiling. Its stated criteria select stocks with…

股票中國市場技術指標動能
SuperMind

The document describes a short-term stock screen that combines a daily price-range threshold, a closing price of 18.5 yuan, and a candlestick pattern labeled a morning star. It presents the conditions both as a formula-style filter and as an attempted Python…

股票技術指標中國市場
SuperMind

This stock screening idea combines two signals: rank stocks by capital flow strength, then identify those whose five week moving average crosses above the ten week moving average. The document frames the crossover as a sign of improving short term direction…

股票技術指標動能中國市場