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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
Quantpedia
86 份文件
TqSdk
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 screening equities for a daily trading range above 1%, more than two limit-up sessions within a ten-day lookback, and high stock “heat,” with candidates ranked from hottest to least active. The stated interpretation is that a wide range…

股票動能突破技術指標
SuperMind

This Chinese-language post describes an equity screen that combines a 14-period RSI below 65, greater volume at the best bid than at the best ask, and a rising 30-day moving average, expressed in the example as price above that average. The rationale is that…

股票技術指標動能市場微結構
SuperMind

This stock screen selects companies classified in the metaverse industry whose opening price is near the 10-day moving average and whose circulating share count is no more than 5.5 billion. The article presents both a crossover-style indicator condition and…

股票中國市場技術指標部位規模
SuperMind

This Chinese community post proposes screening equities for turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and a price pattern described as a rising bottom. The stated rationale is to limit the universe by…

股票中國市場技術指標動能
SuperMind

This Chinese community post describes an equity screen combining three conditions: daily price amplitude above 1, a circulating share count no greater than 5.5 billion, and a positive daily MACD reading. It presents the conditions as a way to find relatively…

股票中國市場動能技術指標
SuperMind

This Chinese-language post proposes a simple A-share stock screen: select companies classified in the metaverse industry, with circulating shares no greater than 5.5 billion, and year-over-year growth in net profit attributable to the parent company above…

中國市場股票因子投資風險管理
SuperMind

The document proposes a Chinese stock screening rule combining daily price range, a recent limit-up event, and a comparison of auction volume with the prior day's volume. Selected stocks enter a candidate pool when the price range exceeds a threshold, at…

中國市場股票技術指標突破
SuperMind

The post outlines a study of autoregressive (AR) and mean-reversion (MR) models using CSI 300 prices and returns. Its stated aim is to show the modeling workflow, fit the models, make forecasts, and compare how the models perform relative to each other. This…

中國市場股票統計
SuperMind

This proposed stock screen builds a candidate pool from shares whose daily high-low range exceeds one percent, that recorded at least one limit-up event in the prior 25 days, and that show three technical indicators crossing upward together. Examples named…

股票中國市場技術指標動能
SuperMind

This proposed Chinese A-share screen selects stocks with MACD above its zero line, sorts candidates by reported stock heat, and requires a prior-day capital-control reading. It is intended to run after the weekly close. The article explains the selection in…

股票中國市場技術指標動能
SuperMind

The document outlines a short-term stock screen that combines a price-range condition, three moving-average crossover signals, and a candlestick reversal pattern. It also suggests considering financial measures and industry prospects when assessing…

股票技術指標動能回測
SuperMind

The document describes a Chinese stock selection screen combining three conditions: at least five moving averages overlap, the 20-day moving average is above the 120-day average, and the 2019 dividend payout ratio exceeds 25%. It presents the overlap…

股票中國市場技術指標因子投資
SuperMind

This Chinese equity-screening post proposes selecting stocks with RSI below 65, three consecutive down sessions, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%. It combines a technical…

股票中國市場技術指標均值回歸
SuperMind

This post outlines a short-term equity screen based on three conditions: daily high-low amplitude above 1%, afternoon large-order net inflow, and an opening price between the prior and current 10-day moving averages. It gives formula and Python examples for…

股票中國市場技術指標市場微結構
SuperMind

This Chinese stock-screening post describes selecting equities with an RSI below 65, upward divergence among moving averages, and more than two limit-up days within the past ten days. It presents the recent limit-up count as a way to identify stocks…

股票中國市場技術指標動能
SuperMind

The document describes a stock screen for main-board shares using current turnover, circulating market value, and the previous day's actual turnover. The specified filters are turnover between 3% and 12%, circulating market value between 5 billion and 10…

中國市場股票因子投資技術指標
SuperMind

This stock selection method combines three filters: rank stocks among the top 100 by volume ratio, require the day’s decline to be between 4% and 5%, and look for at least two limit-up sessions over the prior 500 days alongside turnover above 20. The…

股票中國市場技術指標回測
SuperMind

This strategy note describes a China A-share approach that blends model-based stock ranking with technical timing. It begins with a manually defined pool of roughly 100–300 large-cap names associated with the CSI 150 universe, then ranks candidates using…

股票中國市場機器學習動能
SuperMind

The document describes a Chinese equity screening rule combining daily price amplitude above a threshold, a MACD signal above the zero line, and a condition described as at least five moving averages aligning. It presents the screen as a way to find volatile…

股票中國市場技術指標波動率
SuperMind

This Chinese equity screening rule combines a 14-period RSI below 65 with a condition described as three consecutive down candles and an intraday low 4% to 5% below the prior day’s high. The document provides example indicator expressions and a Python-style…

股票中國市場技術指標均值回歸
SuperMind

The article defines CTA strategies as professionally managed approaches focused mainly on futures, with possible options exposure, and sketches their development in overseas and Chinese markets. It describes the shift of Chinese CTA activity toward commodity…

期貨大宗商品趨勢追蹤投資組合建構
SuperMind

The document presents a Chinese equities screen combining three filters: daily high-low range of at least 1%, circulating market capitalization above 10 billion yuan, and a current high that equals the highest high over two days. It provides corresponding…

股票中國市場技術指標波動率
SuperMind

This note outlines a short-term Chinese stock screen combining daily amplitude above 1%, current trading volume above 10,000 lots, a higher opening price, and a newly formed KDJ golden cross. It frames amplitude and volume as signs of active trading, while…

股票中國市場技術指標動能
SuperMind

This Chinese stock-selection note describes a daily screening rule based on price range, prior limit-up events, and company listing history. It selects shares with daily amplitude above 1%, at least two apparent limit-up events during the prior 500 days, and…

股票中國市場技術指標回測