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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 stock screen selects Chinese A-shares outside the Beijing market with turnover between 3% and 12%, then filters for an opening auction price change above -2% and below 5%. The document gives a formula-style expression and a Python example intended to…

股票中國市場動能
SuperMind

This stock-selection approach combines three technical conditions: a daily high-low range above one percent, a newly formed KDJ bullish crossover, and an upward-sloping 30-day moving average. The article proposes using stocks that meet all three conditions…

中國市場股票技術指標動能
SuperMind

This algorithmic strategy combines a nine-signal Piotroski-style fundamental score with short-term return reversal. It ranks stocks using the most recently available quarterly statements, classifies firms as strong, middle, or weak on fundamentals, and pairs…

股票均值回歸因子投資投資組合建構
SuperMind

This post describes a short-term Chinese stock screen combining daily amplitude, a proxy for main-force control, and a run of at least three consecutive advances. It frames the conditions as a way to find volatile stocks with strong recent price action. The…

中國市場股票動能突破
SuperMind

This historical stock screen combines a daily price-amplitude condition with a date filter and a morning star candlestick signal. It looks for observations from 2021 where the high-to-low range exceeds 1% under the formula shown, and where the pattern…

股票中國市場技術指標均值回歸
SuperMind

This stock selection method combines a technical filter with earnings growth and valuation criteria. It selects Shenzhen main-board stocks whose RSI is below 65, whose parent-company net profit growth is above 20% and no more than 100%, whose…

股票中國市場技術指標因子投資
SuperMind

This proposed screen starts with Chinese stocks whose codes begin with 60 and whose turnover rate is between 3% and 12%, then says to rank qualifying names by individual-stock attention or popularity. The accompanying explanation treats attention as a proxy…

股票中國市場市場情緒技術指標
SuperMind

This proposed Chinese equity screen selects stocks with daily turnover between 3% and 12%, a reversal or engulfing-style pattern, and a listing history longer than a chosen number of years. The article illustrates the pattern using daily price ranges and a…

股票中國市場技術指標均值回歸
SuperMind

This Chinese A-share screening proposal combines three conditions: RSI below 65, upward-diverging moving averages on the current day, and at least two limit-up sessions within the preceding 500 days. The article presents the screen as a way to combine…

股票中國市場技術指標動能
SuperMind

This stock-screening idea combines trading activity, recent price movement, and a qualitative early-uptrend condition. It selects shares with turnover between 3% and 12%, a positive ten-day gain below 35%, and a pattern described as the start of a major…

股票中國市場動能技術指標
SuperMind

This A-share screening idea looks for stocks associated with the metaverse theme, a circulating share count no greater than 5.5 billion shares, and at least one limit-up day during the prior 25 trading days. The document frames the filters as a way to focus…

股票動能中國市場技術指標
SuperMind

This A-share stock screen combines three conditions: daily turnover between 3% and 12%, an opening price within 5% of the ten-day simple moving average of closing prices, and circulating market capitalization between 5 billion and 10 billion yuan. It uses…

股票技術指標中國市場
SuperMind

This stock screen ranks candidates by a volume ratio, then filters for positive large-order net volume above 0.05 for at least three consecutive days and a rising 30-day average. The article interprets stronger volume ratios and persistent large-order…

股票技術指標動能中國市場
SuperMind

This Chinese stock-screening example selects shares in the metaverse industry whose circulating share count is at most 5.5 billion and whose price is at or above its five-day moving average. It presents the rule as a technical filter intended to identify…

股票技術指標中國市場
SuperMind

This post proposes screening main-board shares with turnover rates between 3% and 12%, a daily gain above 1%, and an opening price near the 10-day moving average. Its example defines “near” as within 3% of that average. The rationale is to find short-term…

股票技術指標動能中國市場
SuperMind

This post describes a short-term equity screen requiring daily price amplitude above 1, evidence of main-force control on the previous day, and a share price below 12. It characterizes the filters as combining technical and fundamental considerations,…

股票技術指標風險管理中國市場
SuperMind

This Chinese stock-screening post proposes selecting beverage and alcohol import-export companies with a 14-period RSI below 65 and previous-day turnover value above 60 million yuan. It presents RSI as a gauge of buying and selling conditions, sector…

股票技術指標中國市場
SuperMind

This stock selection rule screens for turnover between 3% and 12%, a rising DEA indicator, and a maximum holder concentration value no greater than 20%. The article describes the concentration filter as a way to favor stocks with more dispersed holdings and…

股票技術指標動能風險管理
SuperMind

This stock screen combines three conditions: turnover between 3% and 12%, a rising DEA indicator, and a low price threshold. Its accompanying formula describes DEA through moving-average relationships, while the Python example calculates the indicator and…

股票技術指標動能中國市場
SuperMind

This Chinese-language post describes a short-term A-share screening rule: select stocks in the metaverse sector, require the reported opening-price change at 9:25 to be below six percent, and require a positive institutional-flow indicator. It presents a…

股票中國市場市場情緒技術指標
SuperMind

This stock-selection idea combines an amplitude filter with a weekly moving-average crossover and a condition described as the start of a strong upward move. The intended approach is to identify stocks near the beginning of a rising trend, then assess them…

股票趨勢追蹤技術指標動能
SuperMind

This daily post-close stock screen selects shares whose MACD reading is above zero and whose short-to-long moving-average sequence is rising. It then orders eligible names by a measure of individual-stock heat, intended to represent market attention. The…

中國市場股票動能技術指標
SuperMind

This stock-screening concept targets Chinese A-share companies with positive earnings, market capitalization below the stated ceiling, a daily high-low range above the stated threshold, and a nonempty name for an outstanding convertible bond. The document…

中國市場股票技術指標因子投資