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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

The document introduces pandas as a Python library built on NumPy that simplifies data handling. It identifies the DataFrame as the chapter’s main subject and notes that pandas also includes Series and Panel structures. The available text provides only a…

統計
SuperMind

This short-term A-share screen combines three conditions: amplitude above 1, absolute large-order net volume above 0.05 for at least three consecutive sessions, and a 15-minute MACD histogram moving toward zero while remaining positive. The article presents…

股票技術指標動能市場微結構
SuperMind

This A-share stock screen combines turnover between 3% and 12%, at least one limit-up event in the preceding 25 days, and a rising moving-average sequence. Its formula specifies that the 5-day average is above the 10-day average, which is above the 20-day…

股票動能趨勢追蹤技術指標
SuperMind

This A-share stock screen combines a daily turnover range of 3% to 12%, three consecutive declining sessions, and turnover above 8% on the previous day. The article presents it as a way to find actively traded stocks whose prices have recently weakened. It…

股票技術指標中國市場
SuperMind

This post outlines a study of autoregressive (AR) and mean-reverting (MR) models applied to CSI 300 prices and returns. It proposes using the models to fit and forecast the index series, and says the article will explain the modeling workflow and compare…

股票統計機器學習中國市場
SuperMind

This Chinese-language post describes an equity screen combining turnover, an industry filter for beverage and alcohol import/export businesses, and weekly MACD conditions. It seeks stocks with turnover in a stated 3%–12% range and a positive, rising weekly…

股票技術指標動能中國市場
SuperMind

This stock-screening note focuses on companies in the metaverse sector with yesterday's turnover above 8% and a closing price between the Bollinger middle and upper bands. Its final proposed version adds a market-cap ranking in the top 30% of the market and…

股票中國市場技術指標因子投資
SuperMind

This stock-selection note proposes screening for turnover between 3% and 12%, seven consecutive down days, and year-over-year growth in net profit attributable to parent-company shareholders between 20% and 100%. It includes example indicator logic and…

股票中國市場均值回歸動能
SuperMind

This Chinese-language strategy note describes a stock screen for companies classified in the metaverse sector. It first specifies a relative volume ratio between 1.5 and 6, a market capitalization no greater than 10 billion yuan, and positive net profit in…

股票中國市場技術指標因子投資
SuperMind

This stock-selection screen combines four conditions: daily amplitude above a threshold, afternoon large-order net inflow, current volume above a threshold, and a gap-up open. The post describes amplitude and inflow as measures of price movement and incoming…

中國市場股票動能技術指標
SuperMind

This post outlines a short-term stock screen using amplitude above 1, current volume above 10,000 lots, a higher open, and a KDJ reading below 20. It frames the range and volume conditions as signs of active trading, while the opening condition and low KDJ…

股票中國市場技術指標波動率
SuperMind

This Chinese-language post describes a stock screen combining amplitude greater than 1, a daily control measure above 21, and membership in the metaverse concept group. The amplitude and control conditions are presented as proxies for volatility and capital…

股票中國市場技術指標風險管理
SuperMind

This Chinese stock-screening note selects shares with a 14-period RSI below 65, excludes the STAR Market, and limits gains since 2021 to less than 50%. The stated intent is to avoid stocks that have risen sharply while retaining an RSI filter and a…

股票中國市場技術指標動能
SuperMind

The post describes a technical stock screen that combines a positive but limited return over the past ten days with a reported increase in position or volume share above a threshold. Its rationale is that stronger recent trading activity may signal inflows,…

股票動能技術指標
SuperMind

The document proposes a technical screen for stocks that combines an RSI reading below 65 with seven consecutive down days and a reversal condition: the seventh day’s close must exceed the first day’s open. It frames the setup as a search for securities that…

股票技術指標均值回歸中國市場
SuperMind

The document describes a simple equity screen focused on stocks associated with the metaverse theme. It proposes selecting names whose price is above a moving average and below a fixed price ceiling, interpreting the moving average condition as a sign of…

股票技術指標動能中國市場
SuperMind

This stock selection approach combines three chart based filters: daily price amplitude above a threshold, a weekly five period moving average crossing above the ten period average, and a rounded upward price pattern. The document also presents formulas for…

股票技術指標動能
SuperMind

This stock screen selects shares with turnover between 3% and 12%, excludes Beijing-listed A-shares, and requires the closing price to be above its 30-day moving average. The document frames the moving-average condition as a way to seek stocks in an upward…

股票中國市場趨勢追蹤技術指標
SuperMind

This note describes screening main-board Chinese stocks, excluding the STAR Market, for turnover between 3% and 12% and a daily gain above 1% relative to a comparison benchmark. Candidates are then ranked by daily net fund inflow, with the stated aim of…

股票中國市場動能市場微結構
SuperMind

This note proposes screening Chinese stocks for turnover between 3% and 12%, a quoted share price of 18.5 yuan, and seven consecutive declining sessions. Its initial description relies on those price and turnover conditions, while the example implementation…

股票中國市場均值回歸技術指標
SuperMind

This note outlines a technical screen for stocks with MACD above zero, rising short-term moving averages, and a closing price between the middle and upper Bollinger Bands. Its indicator examples use common MACD and Bollinger Band settings, and the…

股票中國市場技術指標動能
SuperMind

This note describes an A-share stock screen combining metaverse membership, positive net buying by major participants during the opening auction, market capitalization below 10 billion yuan, and recent profitability. The intended selection favors stocks in a…

股票中國市場市場微結構風險管理
SuperMind

This example describes an automated multi-agent strategy that selects among leveraged long and inverse ETFs, with a short-term Treasury fund as a cash-like fallback. Specialist agents assess growth, inflation and rates, and debt and liquidity using…

股票多資產風險管理投資組合建構
SuperMind

This stock-screening proposal starts with three technical conditions: amplitude above 1, a positive weekly MACD histogram, and no limit-up session the previous day. It frames the screen as a way to find volatile shares with a positive weekly signal while…

股票技術指標動能因子投資