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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 article proposes screening Chinese stocks for a large recent price range, market capitalization below 10 billion yuan, positive net profit, and a price-change measure combined with net large-order activity that exceeds a threshold. The accompanying…

股票中國市場動能市場微結構
SuperMind

This document describes a Chinese equity screen combining daily price range, five consecutive years of return on equity above 15%, and an external-to-internal trading volume ratio above 1.3. Its proposed refined version also requires market capitalization of…

股票中國市場技術指標風險管理
SuperMind

The screen selects Chinese equities whose codes begin with 60, whose RSI is below 65, and whose tradable market value lies between 5 and 10 billion yuan. The accompanying example calculates a 14-period RSI, filters securities by those conditions, and, when…

股票中國市場技術指標動能
SuperMind

This note describes a Chinese-equity screen that combines metaverse industry membership, an opening price near or above the ten-day moving average, and rising MACD-related momentum. Its stated logic looks for a prior close below the average followed by an…

中國市場股票技術指標動能
SuperMind

This post describes an equity screen using an RSI below a stated threshold, the product of percentage price change and very-large-order net flow, and a rising 30-day moving average. The intended combination blends a momentum-related price trend with a…

股票技術指標動能趨勢追蹤
SuperMind

This Chinese-language post outlines an equity screen combining a daily price-range threshold, a ranking based on net large-order activity, and first-level bid volume exceeding ask volume. It presents these conditions as a way to find active stocks with…

股票市場情緒市場微結構技術指標
SuperMind

This stock screen combines a high-low price range condition, return on equity above 15% across five years, and at least two limit-up sessions within ten days. The document presents ROE as a measure of operating strength and recent limit-ups and price range…

股票中國市場動能波動率
SuperMind

This Chinese stock-screening note combines three filters: amplitude above 1, a rounded five-day price pattern, and a ranking based on large-order net volume. Its example formula also includes a closing-price condition and a volume-rank threshold. The author…

股票技術指標市場微結構風險管理
SuperMind

This stock-selection method combines three conditions: a daily high-low range above one percent, a newly formed upward KDJ crossover, and positive institutional flow. The post frames a wide range as a sign of volatility and potential opportunity, the…

股票中國市場技術指標動能
SuperMind

This stock screen targets companies in the metaverse industry when the KDJ indicator has just crossed upward and the five-week moving average has crossed above the ten-week average. It describes selecting candidates before 10 a.m. on each trading day for…

股票中國市場技術指標動能
SuperMind

This Chinese stock-selection example screens for companies classified in the metaverse sector, an arc-shaped price pattern, and prior-day actual turnover between 3% and 28%. It presents the combination as a way to seek stocks with an upward tendency and…

股票中國市場技術指標
SuperMind

The document outlines a simple equity screen combining daily price range, stock-code prefix, and a company-type criterion. It defines range as the high-low spread relative to the previous close and selects stocks whose codes begin with 60, then applies a…

股票波動率中國市場
SuperMind

This short-term stock selection rule looks for non–Star Market main-board shares with a 14-period RSI below 65 and a daily price gain above 1%. The document also describes excluding certain special-treatment and suspended stocks and sorting candidates by…

股票中國市場技術指標動能
SuperMind

This stock screen combines three filters: daily price amplitude above 1%, a 2019 dividend ratio above 25%, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%. The document describes amplitude…

股票中國市場波動率因子投資
SuperMind

This stock selection idea combines a volatility screen with trend and momentum conditions: amplitude greater than one, a weekly five-period moving average crossing above the ten-period average, and a shortening green histogram on the 15-minute MACD. The…

股票技術指標動能突破
SuperMind

This proposed Chinese stock screen first selects companies classified in the metaverse sector, then requires the 9:25 a.m. price change to be below 6% and the short, medium, and longer moving averages to be ordered upward. The article frames this as a…

股票中國市場技術指標動能
SuperMind

This introductory explanation presents Bayesian statistics as a framework for revising probability beliefs when new observations arrive. It contrasts this view with frequentist statistics, which treats probability through long-run frequencies in repeated…

統計風險管理投資組合建構機器學習
SuperMind

This Chinese A-share screening idea combines a turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and weekly MACD above zero. The intended rationale is to find liquid, recently active stocks whose broader trend remains positive.…

股票中國市場技術指標動能
SuperMind

The document describes a stock selection rule combining three conditions: turnover must fall between 3% and 12%, the K value of the KDJ indicator must be rising, and the opening auction gain must be between -2% and 5%. It provides equivalent screening logic…

股票技術指標動能
SuperMind

This screen focuses on stocks classified in the metaverse industry. It requires a newly formed bullish KDJ crossover and prior-day auction turnover above 0.26. The article presents the crossover as a technical signal and auction turnover as a measure of…

股票技術指標動能市場情緒
SuperMind

This stock-screening proposal selects shares whose daily high-low range exceeds one percent, whose high equals the highest high over the current and prior day, and whose stated share-concentration measure is below a threshold of 70 percent. The document…

股票技術指標統計風險管理