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
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 China A-share screening idea starts with stocks in the metaverse theme, then requires the indicated 9:25 price change to be below 6% and positive large-order net inflow in the afternoon. The article describes the theme filter as a way to define the…

股票中國市場事件驅動市場微結構
SuperMind

This proposed China A-share screen combines three conditions: daily amplitude above 1%, positive prior-day main-fund flow, and turnover between 3% and 12%. The post frames the amplitude and turnover filters as ways to focus on active, liquid stocks, while…

股票中國市場技術指標市場微結構
SuperMind

The document presents a Chinese equities screening idea combining a robot-industry concept, a circulating market value below 10 billion yuan, a turnover band of 3% to 12%, and exclusion of stocks associated with northbound capital. It suggests sorting…

股票中國市場因子投資
SuperMind

This Chinese-language post describes an equity screening idea that combines three conditions: RSI below 65, KDJ’s K line below 20, and a positive product of daily price change and net volume attributed to very large orders. The author presents RSI as a…

股票技術指標均值回歸風險管理
SuperMind

This stock-selection approach combines a market-capitalization ceiling, positive profitability, recent limit-up activity, and a price-range condition. The stated idea is to find relatively small companies showing strong recent price action while excluding…

股票動能突破風險管理
SuperMind

This stock screen combines three consecutive declining sessions with a daily price range above one percent and a stated turnover-rate band of two to nine percent. The document presents the conditions as a way to find shares with short-term downward momentum…

股票技術指標動能風險管理
SuperMind

This stock-screening method combines positive MACD readings with an upward arrangement of short-term moving averages. The document describes MACD as a way to identify positive price momentum and compares five-day and ten-day averages as a simple trend…

股票技術指標動能
SuperMind

This document describes an A-share stock selection screen combining daily price amplitude, a history of limit-up moves, and MACD above zero. It gives indicator conditions and a Python example using historical stock data. The intended idea is to focus on…

中國市場股票技術指標動能
SuperMind

This daily stock-selection method combines price activity, past limit-up events, and valuation filters. It screens Shenzhen Main Board stocks for amplitude above 1, at least two limit-ups during the prior 500 days, a price-to-earnings ratio between 0 and…

股票中國市場突破技術指標
SuperMind

This short-term stock screen selects shares with amplitude above 1, ranks them by the day’s auction amount, keeps the top five, and requires positive net buying attributed to major participants. The article’s rationale is that large price movement and active…

股票中國市場動能技術指標
SuperMind

This note proposes a short-term A-share screen based on daily price range, relative volume, and a ranking for net large-order flow. The written rule calls for amplitude above one, relative volume between 1.5 and 6, and a high large-order net-volume ranking.…

股票技術指標動能風險管理
SuperMind

This note describes an A-share stock screen combining MACD above zero, upward divergence among moving averages, and prior-day trading value above a stated threshold. It presents these conditions as signs of an upward market state, a rising trend, and…

股票技術指標動能
SuperMind

The article proposes screening Chinese stocks using three technical conditions: daily high-low amplitude above 1%, at least two limit-up events over a 500-day window, and a 14-period RSI below 65. It supplies indicator formulas and a Python-style example…

股票中國市場技術指標動能
SuperMind

This article describes a Chinese stock screen combining turnover of 3% to 12%, a 2021 listing year, and a reversal pattern identified by the Chinese term “fanbao.” It provides sample indicator and Python-style snippets, including a three-session average…

股票中國市場技術指標均值回歸
SuperMind

This stock-screening idea targets main-board Chinese equities associated with robotics. It combines turnover between 3% and 12%, a circulating market value below 10 billion yuan, and a rising 30-day moving average relative to the 60-day average. The article…

股票中國市場技術指標動能
SuperMind

This opinion article argues that quantitative trading is a tool used by larger market participants rather than the primary force setting a stock's longer-term direction. It describes how large orders might trigger automated buying or stop-driven selling,…

股票市場微結構技術指標風險管理
SuperMind

This stock-selection recipe screens Chinese equities before each trading day for three conditions: MACD above zero, a positive price-to-earnings ratio, and a positive recent return. The return calculation compares the prior close with the close from an…

股票中國市場技術指標因子投資
SuperMind

This article presents a stock-selection screen for Chinese equities whose codes begin with 60. It further requires turnover to fall within a stated 3% to 12% band and MACD to be above zero. The post provides example query and Python-based references for…

股票中國市場技術指標動能
SuperMind

This Chinese stock-screening example combines three filters for an investment watchlist: daily high-low amplitude above 1%, at least one limit-up session in the previous 25 trading days, and a return rank in the top fifth of stocks from 2021 onward. It…

股票中國市場動能波動率
SuperMind

This post describes a Chinese stock screen combining a minimum intraday price range, a named morning-star candlestick condition, and a prior-day turnover-related filter bounded between 3% and 28%. It presents the combination as a way to find stocks with…

中國市場股票技術指標動能
SuperMind

This Chinese stock-screening post describes selecting shares with a daily range greater than 1, circulating market value above 10 billion yuan, and a low K value from a stochastic-style indicator. The accompanying explanation frames the low reading as a…

股票技術指標均值回歸中國市場
SuperMind

This Chinese stock-screening post proposes filtering shares by daily price range, whether the previous session was a limit-up day, and relative trading volume. Its written description specifies a range greater than 1 and a volume ratio between 1.5 and 6,…

股票技術指標波動率中國市場
SuperMind

This Chinese stock-screening post describes selecting shares with turnover between 3% and 12%, a 2021 listing year, and a KDJ bullish crossover on the current day. It presents the crossover as a signal that a stock may be entering an upward phase, while…

股票技術指標動能中國市場
SuperMind

This document outlines a Chinese stock selection rule based on three conditions: the 30-day average is rising, yesterday’s price is above the 250-day average, and today’s position increase ratio exceeds 5%. The post interprets these as short- and long-term…

中國市場股票技術指標動能