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
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 post proposes a short-term A-share stock screen requiring a large daily high-low range, an indication of prior-day main-fund control, a daily gain above a stated threshold, and main-board listing. 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 stock-selection screen combines three conditions: market capitalization at or below 10 billion yuan, positive net profit, and a close above the average of the 5-, 10-, 20-, 30-, and 60-day moving averages. It also excludes stocks that closed at the same…

股票中國市場技術指標
SuperMind

The article explains risk-adjusted performance measurement through the Sharpe ratio and its benchmark-relative counterpart, the Information ratio. It describes the Information ratio as excess portfolio return over a benchmark divided by the variability of…

加密貨幣統計風險管理多資產
SuperMind

This tutorial builds a multi-index rotation strategy using nine Chinese equity index ETFs as proxies for different market sectors. It ranks each index by its return from twenty sessions earlier to the latest close, then selects the strongest index if that…

中國市場股票動能回測
SuperMind

The post outlines a Chinese stock screen combining a turnover rate between 3% and 12% with consecutive down sessions. It frames the setup as a way to find stocks facing pessimistic sentiment that might present rebound opportunities. The article includes…

股票均值回歸風險管理中國市場
SuperMind

The post describes a Chinese equity screening idea that selects stocks with positive but capped ten day price gains, then ranks candidates by capital strength. It additionally proposes a refined filter requiring market capitalization above a stated…

股票動能技術指標中國市場
SuperMind

This proposed stock screen combines a minimum price range, ranking by large-order net volume, and a bounded measure involving prior turnover and current auction volume relative to the previous session's volume. The document describes the intent as selecting…

股票中國市場市場微結構技術指標
SuperMind

The document outlines an A-share stock screen combining membership in the metaverse theme and a beverage-related import/export category with a price-change filter capped below six percent at the market open. It gives a corresponding category and price…

股票中國市場技術指標動能
SuperMind

This Chinese equity screen selects stocks with amplitude above 1 that appeared on the prior day's public trading activity list and have a positive return on the current day. The note presents these filters as a combination of short-term volatility, market…

中國市場股票動能波動率
SuperMind

This Chinese stock-screening note combines three conditions: price amplitude above 1, exclusion of stocks that hit the daily limit the previous day, and a shortening MACD histogram on a 15-minute interval. It frames the amplitude and prior limit-up filters…

中國市場股票技術指標均值回歸
SuperMind

This stock selection method filters for turnover between 3% and 12%, an opening price within roughly 5% of the 10-day moving average, and money-flow volume greater than its prior reading. The post frames the last condition as ranking or selecting for…

股票動能技術指標因子投資
SuperMind

This community post sketches a stock trading approach that combines Bollinger Band entry signals with an ATR-based trailing exit. The author also discusses SuperTrend as a way to define entries or stops, and describes using a separate stock-selection signal…

股票技術指標趨勢追蹤風險管理
SuperMind

This market-timing approach applies a modified MACD with parameters 20, 60, and 3 on 60-minute and 5-minute charts. It classifies bullish conditions as both lines above zero with a bullish crossover, and bearish conditions as both below zero with a bearish…

股票技術指標動能趨勢追蹤
SuperMind

This proposed Chinese equity screen combines a price-movement filter, evidence of a large daily gain during the previous 25 trading days, and a selected company type. The intended logic is to find volatile stocks with a history of strong short-term…

股票波動率動能技術指標
SuperMind

This stock selection note combines three filters: a daily price range above 1%, a tradable share count no greater than 5.5 billion, and a high price described as the highest over two days. It presents the range filter as a way to find active shares, the…

股票技術指標突破中國市場
SuperMind

The document proposes screening Chinese stocks in the metaverse industry by ranking them on the current day's opening-auction amount and focusing on the top five. It then applies a second filter: yesterday's turnover rate multiplied by the ratio of current…

股票中國市場技術指標
SuperMind

This research summary compares periodic rebalancing with buy-and-hold for portfolios combining stocks and bonds. It reports that monthly rebalancing can lag buy-and-hold when stocks trend strongly relative to bonds, because rebalancing sells some of the…

多資產投資組合建構回測趨勢追蹤
SuperMind

The document describes a Chinese stock screen that selects shares with daily amplitude above 1, turnover between 2% and 9%, and floating market capitalization between 5 and 10 billion yuan. It presents these filters as a way to focus on stocks with notable…

股票技術指標中國市場
SuperMind

This A-share screening rule looks for stocks with RSI below 65, an outside-volume to inside-volume ratio above 1.3, and a close positioned between the Bollinger middle band and upper band. The combination is intended to select stocks with moderate momentum,…

股票中國市場技術指標動能