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 article outlines a Chinese equity screening rule combining daily amplitude above one, a positive weekly MACD reading, and a high ranking for net large-order volume. It describes these conditions as a way to find volatile stocks with upward price…

股票技術指標動能市場微結構
SuperMind

This article sketches a Chinese stock-selection rule using MACD and price conditions. It describes screening for MACD above the zero line, a price below 12 yuan, and also states a share-price condition of 18.5 yuan. It says the scan is intended to run before…

中國市場股票技術指標動能
SuperMind

The proposed stock screen combines a technical condition with fundamental growth and company-size filters. It selects stocks with an RSI below 65, year-over-year net profit growth above 20% and at most 100%, and size of at least 200 million. The article…

中國市場股票技術指標因子投資
SuperMind

This note outlines a basic screen for Chinese equities whose stock codes begin with 60, whose daily high-to-low range exceeds 1%, and whose closing price is 18.5 yuan. It also proposes sorting qualifying stocks by trading activity. The article illustrates…

股票中國市場波動率技術指標
SuperMind

This note describes a simple Chinese-equity screen combining daily price range, calendar year, and closing price. It selects stocks whose high-to-low range exceeds 1%, whose trading date falls in 2021, and whose closing price equals 18.5 yuan. The article…

股票中國市場波動率技術指標
SuperMind

This article describes an A-share screening rule combining three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and displayed best-bid volume greater than best-ask volume. It interprets the RSI and candle sequence…

股票技術指標中國市場
SuperMind

This post outlines a stock-selection rule using amplitude, three consecutive limit-up sessions on the previous day, and a historical limit-up condition tied to 2021. Its revised formulation specifies amplitude above 1.5% and requires a past limit-up price to…

股票中國市場動能突破
SuperMind

This Chinese A-share screening post describes a rule set combining amplitude above 1, a previous-day 9:15 matching price at the limit-down level, and a stated holder-concentration condition. It proposes selecting the first n stocks and provides…

股票中國市場波動率技術指標
SuperMind

This stock-selection screen combines three conditions: a relative strength index below 65, positive large-order net inflow in the afternoon, and more than two limit-up days in the recent ten-day period. The article presents the setup as a way to find…

股票中國市場動能技術指標
SuperMind

This Chinese stock selection proposal looks for shares with turnover between 3% and 12%, seven consecutive down days, and a Morning Star candlestick signal. Its rationale is to search for a possible rebound after a sustained short-term decline. The document…

股票中國市場技術指標均值回歸
SuperMind

This proposed Chinese equity screen combines a daily price move with company size and profitability. It selects stocks with amplitude above 1, a daily decline between 4% and 5%, market capitalization at or below 10 billion yuan, and no losses. The document…

股票中國市場技術指標風險管理
SuperMind

This survey outlines a broad set of systematic approaches across equities, currencies, futures, options, and fixed income. It describes cross-sectional signals such as price and earnings momentum, book-to-price value, volatility, and combinations of factors;…

多資產因子投資技術指標套利
SuperMind

The document describes a Chinese equity screen combining four conditions: membership in the metaverse sector, a prior-day close above the 250-day moving average, a robotics concept classification, and circulating market value below 10 billion yuan. It…

股票中國市場技術指標趨勢追蹤
SuperMind

This stock screen selects companies classified in the metaverse sector whose prior-day actual turnover is between 3% and 28%. It also requires the closing price to fall between the 20-period Bollinger middle band and upper band. The article describes the…

中國市場股票技術指標波動率
SuperMind

This stock selection rule screens Chinese equities in the metaverse industry, limiting candidates to those with a circulating share count no greater than 5.5 billion and a high rank for large-order net flow. The accompanying Python example retrieves stock…

中國市場股票市場情緒因子投資
SuperMind

This stock screen combines three conditions: amplitude above one, circulating market capitalization above 10 billion yuan, and a newly formed KDJ golden cross. The post frames the combination as a way to find relatively large, volatile stocks with a…

股票中國市場技術指標風險管理
SuperMind

The screen selects listed Chinese stocks with an amplitude above one, more than three years since listing, and closing prices that fell on each of the last three sessions. Its stated rationale is to seek actively traded shares while excluding newer listings,…

股票中國市場技術指標均值回歸
SuperMind

The document introduces hidden Markov models (HMMs) as a way to infer unobserved market regimes from observed asset returns. It explains the Markov assumption that the next state depends on the current state, and describes how regimes can change return…

統計機器學習風險管理
SuperMind

This stock screen looks for Shenzhen Main Board companies with annual return on equity above 15% in each of five years, a price-to-earnings ratio from zero to 29.01, and a price-to-book ratio from zero to 3.11. It also requires the daily high-low range to be…

股票因子投資中國市場統計
SuperMind

This Chinese stock selection rule combines three filters: rank stocks among the top 100 by volume ratio, keep those whose opening price is within five percent above or below the ten-day moving average, and look for a shortening histogram in the 15-minute…

股票技術指標動能中國市場
SuperMind

This document describes a daily stock screen that selects shares with turnover between 3% and 12%, a rising K value in the KDJ indicator, and an intraday low between 4% and 5% below the previous close. It provides equivalent selection logic in a…

股票技術指標均值回歸回測
SuperMind

This guide outlines how to move a strategy from backtesting or simulation into Supermind’s live research-trading environment. It describes logging in to a simulated or funded account, creating live-trading code, and adapting a backtest template to initialize…

交易執行回測
SuperMind

This proposed stock screen looks for shares with a daily high-low range above 1%, trading activity above 60 million in the prior day, and a newly formed KDJ golden cross, defined as K moving above D after being below it. The article frames the range and…

中國市場股票動能技術指標
SuperMind

This proposed stock screen selects main board shares with turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. It also requires large-order net volume to exceed 0.05 for at least three consecutive days. The article…

中國市場股票動能統計