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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
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 research summary examines whether trading behavior can serve as a proxy for speculative intensity in Chinese A-shares. It studies four measures: idiosyncratic volatility, idiosyncrasy, price delay, and size-adjusted turnover. The proposed intuition is…

股票因子投資統計中國市場
SuperMind

This article outlines a simple screen for Chinese equities associated with the metaverse theme. It selects stocks whose actual turnover rate from two trading days earlier falls between 3% and 28%, while excluding stocks that hit the upper price limit on the…

股票中國市場技術指標風險管理
SuperMind

This stock screen selects shares whose daily amplitude exceeds a threshold, whose price is above the five-day moving average, and whose prior session was not a limit-up day. The article frames a larger daily range as potentially useful for short-term trading…

股票中國市場技術指標動能
SuperMind

The proposed screen seeks Chinese stocks with turnover between 3% and 12% and a positive gain below 35% over ten days, then looks for three technical indicators to cross upward at the same time. The accompanying formula describes rising 12-period and…

股票中國市場動能技術指標
SuperMind

This document describes a Chinese stock selection rule combining daily price range, recent limit-up activity, and a long-term moving average. Stocks enter the candidate pool when their amplitude exceeds 1%, at least one limit-up occurred in the prior 25…

股票中國市場技術指標波動率
SuperMind

This stock-screening proposal combines three conditions: a 14-period RSI below 65, first-level buy volume greater than first-level sell volume, and a rising KDJ component. It presents these as filters for stocks with moderate momentum, buying pressure, and…

股票技術指標動能市場微結構
SuperMind

This post describes a Chinese main-board stock screen requiring turnover between 3% and 12%, a daily gain above 1%, and a nonempty name for an outstanding convertible bond. It presents the bond-linked filter as a way to identify companies with…

股票中國市場技術指標風險管理
SuperMind

This post presents a stock screen using three conditions: daily price range above 1%, positive price-to-earnings ratio, and a ten-day return above zero but below 35%. The intended rationale is to find profitable companies showing recent gains and active…

股票中國市場動能技術指標
SuperMind

This post describes a Chinese A-share screening rule: select stocks in the metaverse theme with a positive institutional-flow signal and prior-session auction turnover above 0.26. It gives indicator references and a Python example intended to implement the…

股票中國市場市場微結構市場情緒
SuperMind

This proposed stock screen combines a daily turnover rate between 3% and 12%, a positive product of daily price change and large-order net flow, and a 2019 dividend ratio above 25%. The article frames turnover as a measure of market activity and the…

股票中國市場技術指標風險管理
SuperMind

This stock screen selects companies assigned to the metaverse industry using two size conditions: circulating shares at or below 5.5 billion and a stated size threshold of at least 200 million. The document presents the screen as a way to find larger…

股票中國市場因子投資
SuperMind

This stock-selection recipe filters Shenzhen main-board listings using turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and up to 100%, price-to-earnings ratios from 0 to 29.01, and…

股票因子投資風險管理
SuperMind

This stock screen combines a daily range filter, a qualitative company-quality condition, and a trend rule requiring the 20-day moving average to exceed the 120-day average. The article interprets the moving-average relationship as evidence that recent price…

股票趨勢追蹤技術指標
SuperMind

This stock screen combines a daily price-amplitude threshold, a MACD condition above the zero line, and year-over-year growth in net profit attributable to parent-company shareholders. The stated profit-growth range is above 20% and up to 100%. The rationale…

股票技術指標動能中國市場
SuperMind

The article proposes a Chinese stock screen combining three price-based conditions: amplitude above a threshold, a rising bottom pattern, and at least one limit-up move within the prior 25 days. It frames wide swings and rising lows as technical signals and…

中國市場股票技術指標動能
SuperMind

This Chinese equity-screening note selects stocks with MACD above zero, positive price-to-earnings ratio, and turnover between three and twelve percent. It interprets the MACD condition as an upward trend filter, positive PE as a basic valuation sanity…

中國市場股票技術指標因子投資
SuperMind

This Chinese stock-screening note combines three conditions: daily trading range above one percent of the previous close, weekly MACD above zero, and a prior-day 9:15 matching price at the lower price limit. It presents the screen as a way to find stocks…

中國市場股票技術指標波動率
SuperMind

This document describes a Chinese A-share screening rule combining three conditions: amplitude above 1, MACD below zero two days earlier, and a gain below 6% around 9:25. It presents the screen as a way to combine a volatility measure, a trend signal, and a…

股票中國市場技術指標波動率
SuperMind

The screen selects stocks assigned to the metaverse concept group using two same-day price conditions: the reported move at 9:25 is below 6%, and the day's maximum decline is between 4% and 5%. The accompanying explanation frames these conditions as a way to…

股票中國市場均值回歸技術指標
SuperMind

This stock screen first limits candidates to companies classified in the metaverse industry. It then looks for an opening price described as near the 10-day moving average and positive net buying by major participants during the opening auction. The article…

股票中國市場動能技術指標
SuperMind

This Chinese equity screening method selects stocks with turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no higher than 100%, and a daily increase-in-holdings ratio above 5%. The…

股票中國市場因子投資技術指標
SuperMind

This Chinese equity screening example combines a metaverse industry classification with a volume-ratio band and a condition described as rising bottoms. It then adds a market-value ceiling to the proposed final screen. The article also sketches how to…

股票中國市場技術指標動能