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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 research summary examines an equal-weighted index drawn from the China Securities Index 500. It combines low valuation with expected earnings improvement, using analyst consensus expectations and a GARP-style approach to select mid-cap growth stocks.…

股票因子投資投資組合建構中國市場
SuperMind

This post describes a stock screen that ranks by capital strength and requires the stock’s average price to be above its five-day moving average, with its 30-day average moving upward. The combination is intended to pair a capital-flow measure with short-…

股票技術指標動能
SuperMind

This post outlines a Chinese stock screen that selects companies with at least five overlapping moving averages, positive price-to-earnings ratios, and a rising 30-day average. It presents the overlap as a sign that short- and long-term trends are stable,…

股票技術指標趨勢追蹤
SuperMind

This proposed stock screen combines an amplitude threshold above 1, a listing age greater than one year, and at least one daily gain of 10% or more during the previous 25 trading days. The post treats a recent large gain as evidence of short-term strength…

股票動能技術指標中國市場
SuperMind

This proposed Chinese equity screen selects stocks associated with the metaverse theme, with circulating market capitalization above 10 billion yuan and at least five moving averages converging. The post presents moving-average convergence as a way to…

股票技術指標中國市場
SuperMind

This Chinese stock screen combines a technical threshold, a money-flow condition, and a convertible-bond field. It selects shares with RSI below 65, a positive product of percentage price change and net large-order volume, and a nonempty convertible-bond…

股票技術指標市場情緒中國市場
SuperMind

This community post presents a strategy backtesting framework that uses an iWencai selection function to choose stocks and run minute-level simulations. That outlines a basic workflow for testing intraday rules on a filtered equity universe: define a stock…

股票回測交易執行
SuperMind

This note describes a daily stock screen combining three conditions: price range exceeds a threshold, the ticker begins with a specified Shanghai-market prefix, and the close is above the previous session’s low. It frames the range condition as a way to…

股票波動率技術指標
SuperMind

This stock screen targets companies in the metaverse industry whose opening price is near the ten-day moving average and that have recorded more than two limit-up days within ten days. The article frames the moving-average condition as a price-location…

股票中國市場動能技術指標
SuperMind

The document describes a Chinese equity screening rule that combines a Metaverse industry classification with a price condition around the ten-day moving average and prior-day auction turnover above 0.26. Its stated rationale is to combine an industry theme…

股票技術指標市場情緒中國市場
SuperMind

This proposed stock screen combines a daily trading range greater than 1%, an intraday low between 4% and 5% below the previous close, and a rising 30-day average. It is presented as a way to identify stocks experiencing a sharp pullback while retaining an…

股票中國市場技術指標趨勢追蹤
SuperMind

This A-share screening idea looks for companies with positive earnings, market capitalization below 10 billion yuan, and turnover between 3% and 12%, then selects stocks that have closed below their five-day moving average for three consecutive sessions. The…

股票中國市場技術指標均值回歸
SuperMind

This Chinese-language post outlines an equity screen that selects stocks associated with the metaverse concept, a rising 30-day moving average, and a KDJ bullish crossover. It presents the combination as a way to find stocks with upward price momentum. The…

股票技術指標動能風險管理
SuperMind

This post describes a Chinese equity screen that combines a turnover-rate band, a beverage and alcohol industry filter, and positive fund-holding changes. Its proposed final logic also asks for a rising 30-day moving average. Formula and Python examples…

中國市場股票技術指標因子投資
SuperMind

This Chinese stock-screening post combines a price-amplitude condition, a morning-star candlestick signal, and the presence of an outstanding convertible bond. It gives a formula reference and a Python example that checks recent daily prices and…

中國市場股票技術指標風險管理
SuperMind

This note describes a Chinese A-share screen combining metaverse-sector membership, a turnover-related condition, and an intraday “control” measure above a stated threshold. Its rationale is to focus on a market theme, seek active trading, and identify…

股票中國市場動能
SuperMind

This stock-selection recipe screens for companies in a designated metaverse category, a positive daily price change, and a rising 30-day moving average. Its final stated condition also requires a price-to-earnings ratio below 30. The article expresses the…

股票中國市場技術指標動能
SuperMind

This introductory multi-factor stock selection method combines one profitability measure, return on invested capital, with two valuation measures, price-to-sales and price-to-book. The stated goal is to rank stocks by factors associated with returns and…

股票中國市場因子投資投資組合建構
SuperMind

This stock selection method combines three technical conditions: a 14-period RSI below 65, the current close above its one-day moving average, and the 20-day moving average above the 120-day moving average. The moving-average comparisons aim to select stocks…

股票中國市場技術指標趨勢追蹤
SuperMind

This proposed Chinese A-share screen looks for stocks associated with the metaverse industry, a rounded-bottom or arc-shaped pattern, and a daily decline between 4% and 5%. The final stated criteria also add PEG below 1. The document includes a Python…

股票中國市場均值回歸技術指標
SuperMind

This stock-selection recipe filters Shenzhen Main Board shares using a turnover range of 3% to 12%, an upward-moving DEA condition, price-to-earnings ratios from 0 to 29.01, and price-to-book ratios from 0 to 3.11. It presents the criteria in prose and gives…

股票中國市場技術指標因子投資