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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
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 note describes a Chinese A-share screen requiring an RSI below 65 and seven consecutive sessions in which the close is no higher than the open, followed by a ranking based on a stock popularity measure. It outlines the intended use of technical…

股票中國市場技術指標市場情緒
SuperMind

The author describes a monthly stock-selection approach that buys the ten lowest price-to-book stocks in the CSI 300 universe, then combines it with a market-timing signal based on a hidden Markov model. The starting idea is a single-factor value strategy,…

股票因子投資均值回歸機器學習
SuperMind

This Chinese-language post outlines a daily stock selection screen based on three filters: rank stocks by trading volume or a stated measure of capital strength, keep those whose gain at 9:25 is below 6%, and require at least two limit-up sessions in the…

股票中國市場動能突破
SuperMind

This stock-selection proposal combines three filters: a large high-low range, at least one daily gain of 10% or more in the preceding 25 trading days, and a ranking by capital or fund-flow strength. The intended effect is to find volatile stocks that have…

股票動能技術指標因子投資
SuperMind

The post describes a Chinese A-share selection rule combining membership in a metaverse-related category, high recent turnover, and a recent limit-up event. Its stated intent is to find actively traded stocks attracting attention and showing evidence of…

中國市場股票動能技術指標
SuperMind

This document describes a Chinese A-share screening rule that combines daily price movement, a moving-average trend filter, and reported revenue growth. It selects stocks whose amplitude exceeds a threshold, whose 20-day moving average is above the 120-day…

股票中國市場技術指標動能
SuperMind

The post proposes a Chinese equity screening approach that combines stocks with clustered moving averages, afternoon net inflows from large orders, and multiple limit-up sessions over a historical window. It interprets these conditions as possible signs of…

中國市場股票技術指標動能
SuperMind

The document describes a Chinese stock screen that combines a daily increase in position share above 5%, Shenzhen main-board valuation limits, and more than two limit-up sessions within ten days. Its rationale treats the position-share measure as a possible…

股票動能技術指標中國市場
SuperMind

This document outlines a screen for Shenzhen main-board stocks combining a technical condition with valuation, size, and profitability filters. Candidates must have RSI below 65, a price-to-earnings ratio between zero and 29.01, a price-to-book ratio between…

股票因子投資技術指標中國市場
SuperMind

The document describes a technical screen for stocks using three conditions: daily amplitude above 1%, weekly MACD above zero, and an opening gain between -5% and 2.6%. It interprets amplitude and the gain range as measures of market activity, while weekly…

股票技術指標動能風險管理
SuperMind

This Chinese equity screen combines a non-ST requirement, a minimum intraday range, a five-session closing-price high, and a circulating market capitalization between 5 billion and 10 billion yuan. The article frames the conditions as a way to find active…

中國市場股票突破技術指標
SuperMind

This Chinese equity screening idea selects stocks with RSI below 65, more than two limit-up sessions during the preceding ten days, and no limit-up on the prior day. Its final version adds a closing-price ceiling of 60 yuan and ranks candidates by stock…

中國市場股票動能技術指標
SuperMind

This Chinese equity screen seeks main-board stocks with a 14-period RSI below 65, three consecutive declining sessions, and a current-day gain exceeding 1%. It combines a momentum-style rebound condition with recent weakness and a market-segment filter. The…

股票技術指標動能中國市場
SuperMind

This Chinese stock-selection note combines a turnover filter, a cap on circulating share or market-cap size, and a condition described as at least five moving averages overlapping. Its final stated criteria specify turnover up to 12%, circulating market…

股票技術指標風險管理中國市場
SuperMind

This Chinese A-share selection method first limits its universe to stocks in the metaverse theme, then screens for a morning price change below 6% at 9:25 and ranks qualifying names by individual stock popularity. The note presents the approach as a blend of…

股票動能市場情緒中國市場
SuperMind

This Chinese A-share screening note combines a turnover range of 3% to 12% with a rising DEA signal and a condition on opening auction activity. The auction measure compares yesterday’s turnover, today’s auction volume, and yesterday’s volume; the stated…

股票技術指標動能市場微結構
SuperMind

The post proposes a Chinese stock screening idea combining three conditions: reported institutional buying above five percent of volume on the latest trading day, seven consecutive declining sessions, and a 20-day moving average above the 120-day average. It…

股票中國市場技術指標動能
SuperMind

The document proposes screening A-shares with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no losses, then selecting stocks whose large-order net volume exceeds 0.05 for at least three consecutive days. It presents this as a…

股票動能中國市場技術指標
SuperMind

This community thread asks how to run a stock screen at a specified time on trading days and send its results to WeChat. A reply suggests placing the screening call inside the platform’s opening-auction callback, which the commenter says runs each day at…

交易執行股票
SuperMind

This document describes a Chinese A-share screening rule that combines daily price range, recent limit-up activity, and a bullish candle condition. It selects stocks whose high-to-low range exceeds 1%, that had at least one limit-up day in the prior 25…

股票中國市場技術指標波動率
SuperMind

This Chinese stock screening rule combines turnover between 3% and 12%, year-over-year growth in net profit attributable to parent shareholders above 20% and no more than 100%, and a bullish weekly MACD condition. The document treats turnover as a trading…

股票中國市場技術指標動能
SuperMind

The proposed screen selects stocks with a rising 30-day moving average, positive net buying by large traders during the auction, and a daily position increase ratio above a stated threshold. The accompanying explanation interprets the flow measures as signs…

股票中國市場技術指標市場情緒
SuperMind

This stock selection rule combines a minimum daily amplitude threshold with MACD above its zero line and a rising 30-day moving average. The rationale is to seek stocks showing price movement, positive MACD momentum, and an upward medium-term trend. The…

股票中國市場技術指標動能