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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 note proposes a daily screen for mainboard stocks that combines a turnover range of 3% to 12%, circulating market value between 5 billion and 10 billion yuan, and an external-to-internal trade volume ratio above 1.3. Its rationale is to focus on stocks…

中國市場股票市場微結構技術指標
SuperMind

This stock-selection note proposes screening equities using three conditions: a daily amplitude above one, a rounded price pattern, and prior-day actual turnover between 3% and 28%. The accompanying explanation presents the amplitude condition as a way to…

中國市場股票技術指標風險管理
SuperMind

This proposed equity screen selects stocks in the metaverse concept group that appeared on the prior day’s trading leaderboard and had turnover between 3% and 12%. The article frames turnover as a measure of trading activity and leaderboard inclusion as a…

股票中國市場市場微結構風險管理
SuperMind

This proposed stock screen combines three conditions: the weekly price crosses above its 30-week moving average, the stock’s gain at 9:25 is below 6%, and its daily position-building ratio exceeds 5%. The article interprets the moving-average crossover as a…

股票中國市場趨勢追蹤技術指標
SuperMind

This stock screen combines three conditions: membership in the metaverse concept group, positive net buying by major participants during the opening auction, and at least two limit-up days within the prior 500 days. The article explains each filter as a way…

股票中國市場動能突破
SuperMind

This stock-selection approach looks for shares with turnover between three and twelve percent, a reversal or engulfing-style price condition, and an upwardly ordered set of moving averages for five, ten, twenty, and thirty periods. The post presents turnover…

股票技術指標動能中國市場
SuperMind

This stock selection method combines a price range filter, a weekly moving average crossover, and a measure of opening auction activity. It selects shares whose amplitude exceeds the stated threshold, whose weekly five-period moving average crosses above the…

股票技術指標動能中國市場
SuperMind

This stock-selection idea filters for shares with a prior trading range above a threshold, limits the eligible universe by circulating share count, and ranks candidates by trading activity or popularity. Its stated aim is to identify relatively active,…

股票波動率技術指標中國市場
SuperMind

This post outlines a stock-selection idea combining a volatility condition, recent strong performance, and an afternoon order-flow measure. It seeks stocks with a daily high-low range exceeding one, at least one daily gain of 10% or more over the past 25…

股票動能波動率市場微結構
SuperMind

This Chinese-language post describes a stock screen for companies classified in the metaverse theme. It selects shares whose actual turnover rate on the prior day falls between 3% and 28%, and whose indicated 9:25 price change is below 6%. The rationale is…

股票中國市場技術指標
SuperMind

This post proposes screening Chinese stocks in the metaverse industry by selecting the five highest-ranked stocks on the day’s opening auction amount, then retaining those with a 14-period RSI below 65. It presents auction activity as a sign of relative…

股票中國市場技術指標動能
SuperMind

This post outlines a Chinese stock screen that ranks shares by increasing capital-flow strength, considers company type, and keeps stocks whose 10-day price gain is above zero but below 35%. It frames the gain band as a way to find stocks that have risen…

股票中國市場動能風險管理
SuperMind

This proposed Chinese equity screen selects stocks associated with the metaverse industry, requires a positive return, and looks for a three-session sequence of limit-up moves ending the previous day. The post also presents a market-cap floor and sketches…

股票中國市場動能突破
SuperMind

This Chinese stock screening example combines three conditions: the 20-day moving average must exceed the 120-day average, the previous session must not have closed at the daily price limit, and candidates are ranked by volume ratio. The document interprets…

股票中國市場趨勢追蹤技術指標
SuperMind

This Chinese equity selection method first requires a positive but capped return over the past ten days and a float market capitalization above 10 billion yuan. It then ranks eligible shares from strongest to weakest using trading-strength measures such as…

股票中國市場動能技術指標
SuperMind

This Chinese equity screening example looks for shares with a daily amplitude above one percent, current trading volume above ten thousand lots, a higher open, and weekly MACD above zero. The document describes amplitude, volume, and opening strength as…

股票中國市場動能技術指標
SuperMind

This Chinese equity screening example combines a daily price-range threshold, the presence of an outstanding convertible-bond name, and a close above the prior 250-day moving average. It presents the moving-average condition as a way to favor stocks in a…

股票中國市場技術指標波動率
SuperMind

This Chinese stock-selection rule requires turnover between 3% and 12%, a rising DEA indicator, and at least one year since listing. The article describes turnover as a liquidity screen and rising DEA as a signal of improving short-term direction. It…

股票中國市場技術指標回測
SuperMind

This screen targets stocks in the metaverse theme and applies an early-session price-change condition alongside market and valuation filters. It specifies a gain below 6% at 9:25, Shenzhen main-board listing, a price-to-earnings ratio from 0 to 29.01, and a…

股票中國市場技術指標因子投資
SuperMind

This Chinese A-share stock screen combines trading activity, a price and order-flow condition, and a moving-average trend filter. It selects stocks with turnover between 3% and 12%, a positive product of the day’s percentage change and net large-order…

股票中國市場趨勢追蹤技術指標
SuperMind

This document describes a Chinese stock-selection screen combining at least five overlapping moving averages with market capitalization and company profitability filters. It also presents additional proposed conditions: a price-to-earnings ratio below 30, a…

股票技術指標中國市場趨勢追蹤
SuperMind

This post describes a screen for main-board Chinese stocks with turnover between 3% and 12%, a reversal or engulfing-style setup, and circulating market value between 5 and 10 billion yuan. Its sample indicator logic filters turnover and float value, then…

中國市場股票技術指標均值回歸
SuperMind

This post outlines a Chinese equity selection rule combining three conditions: daily high-low amplitude above 1, no limit-up session on the prior day, and upward divergence in the current moving averages. Its indicator reference defines amplitude relative to…

中國市場股票技術指標動能
SuperMind

The document outlines a Chinese stock screen combining daily price amplitude above 1%, robot-concept membership, circulating market value below 10 billion yuan, and a company-nature condition. It sketches how to express those filters in a stock-screening…

股票中國市場技術指標風險管理