跳至內容

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
WonderTrader
14 份文件
Alphalens
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 post proposes screening Shenzhen main-board stocks for daily price amplitude above one percent, a newly formed KDJ golden cross, and specified price-to-earnings and price-to-book ranges. It describes the crossover as a possible sign of improving…

股票中國市場技術指標動能
SuperMind

This post outlines a Chinese equity screen that ranks stocks by funding strength, looks for a weekly five-period moving average crossing above a ten-period average, and filters for an opening gain below six percent at 9:25. The proposed rationale is to…

股票中國市場動能技術指標
SuperMind

This Chinese stock-selection post proposes screening metaverse-related shares for positive institutional movement and a prior-day price pattern described as main-force control. It presents the conditions as a way to focus on a specific industry, follow…

股票中國市場市場情緒風險管理
SuperMind

This stock-screening proposal looks for shares with an amplitude measure above 1, three technical indicators said to have bullish crosses, and three consecutive declining closes. Its sample Python logic approximates the multiple-cross condition with the 5-,…

股票技術指標動能回測
SuperMind

This Chinese A-share screening proposal combines a technical condition with earnings growth and a concentration filter. It selects stocks with a 14-period RSI below 65, year-over-year net-profit growth above 20% and no more than 100%, and a stated…

股票中國市場技術指標因子投資
SuperMind

This document describes a stock-selection rule that combines a daily high-low range threshold, a recent reversal pattern, and a negative MACD reading from two sessions earlier. It frames range as a volatility filter, the reversal as a possible change in…

股票技術指標波動率回測
SuperMind

This proposed A-share screen targets metaverse-related stocks with a circulating share count no greater than 5.5 billion and an upward-spreading set of moving averages. The article’s example rules add price, volume, and return conditions: price is…

股票中國市場動能技術指標
SuperMind

This stock selection rule screens for companies with market value below 10 billion yuan, positive profit history, turnover between 3% and 12%, and a 14-period RSI below 65. It combines a size filter and profitability condition with activity and…

股票中國市場技術指標因子投資
SuperMind

This post proposes a technical stock screen combining price amplitude above a threshold, progressively rising lows, and a volume ratio between stated bounds. It describes the rising floor as a sign of improving price structure and uses relative volume to…

中國市場股票技術指標動能
SuperMind

This community exchange explains how to use data downloaded with Supermind’s data ingestion command. A reply says the downloaded data can be accessed through the platform’s get_price function, without specifying the on-disk file format or a separate…

回測
SuperMind

This Chinese-language post outlines an A-share stock screen combining daily price range, relative trading volume, and recent return. It selects stocks with a daily high–low range of at least one percent, volume between 1.5 and 6 times its five-day average,…

中國市場股票技術指標動能
SuperMind

The document outlines an equity screen that selects stocks with turnover between 3% and 12%, a rising KDJ K line, and MACD above its zero line. It describes the rising KDJ reading and positive MACD as indicators of upward price momentum, and provides both a…

股票技術指標動能中國市場
SuperMind

This Chinese equity screen first restricts the universe to metaverse-related companies that are not marked ST and have circulating share capital at or below 5.5 billion shares. It then applies a so-called five-level limit-up method, with selection intended…

中國市場股票動能突破
SuperMind

This stock-selection idea combines three filters: price amplitude above one percent, appearance on the prior day's notable-trading list with reported buying exceeding selling, and turnover between three and twelve percent. The article presents the filters as…

中國市場股票技術指標市場微結構
SuperMind

The document proposes screening Chinese stocks for amplitude above 1%, an aligned set of three moving averages, and a 2021-to-2018 revenue ratio above 1.1. It presents the moving-average condition as a technical signal and the revenue comparison as a basic…

股票中國市場技術指標動能
SuperMind

The document describes a Chinese A-share stock screen that excludes Beijing-listed shares, requires daily high-low amplitude above 1%, and selects stocks with at least one daily gain of 10% or more in the previous 25 trading days. It outlines the rationale…

股票中國市場動能波動率
SuperMind

The post describes a simple equity-universe filter: identify stocks associated with the metaverse theme, require a circulating market value above 10 billion yuan, and retain codes beginning with 60. It presents these conditions as a way to narrow the…

股票中國市場因子投資
SuperMind

This stock screen combines three technical conditions: daily price amplitude of at least one percent, turnover above two percent and no greater than nine percent, and a pattern of rising lows. The accompanying explanation interprets the combination as…

股票技術指標波動率風險管理
SuperMind

This Chinese equity screen looks for companies with market capitalization below 10 billion yuan and nonnegative net profit attributable to parent-company shareholders for 2021. The article presents the size limit as a way to focus on smaller firms that may…

股票因子投資中國市場
SuperMind

This Chinese equity screen selects companies associated with the metaverse theme when prior-day actual turnover is between 3% and 28% and both weekly MACD lines, DIFF and DEA, are above zero. The article treats the turnover range as a sign of market…

股票技術指標動能中國市場
SuperMind

This Chinese equity screening rule combines a 14-period RSI below 65, prior-day auction turnover above 0.26, and a 9:25 price gain below 6%. The article describes RSI as a gauge of overbought or oversold conditions, auction turnover as a measure of trading…

股票技術指標中國市場
SuperMind

The document describes a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, positive 10-day gains below 35%, and a rising 30-day moving average. It presents the conditions as a way to combine trading activity with short-term…

股票動能技術指標中國市場
SuperMind

The post describes a Chinese A-share screening rule that combines a daily price-range threshold, at least one limit-up event in the prior 25 trading days, and return on equity above 15% for five consecutive years. It presents the conditions as a way to find…

股票中國市場波動率動能