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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 outlines a Chinese stock-selection screen using RSI below 65, a rising KDJ K value, and exclusion of the STAR Market. It also proposes price-to-earnings and price-to-book caps, and suggests sorting selected stocks by recent percentage change.…

股票中國市場技術指標動能
SuperMind

This post proposes screening Chinese A-shares for turnover between 3% and 12%, excluding Beijing-listed stocks, and requiring a stated amplitude threshold above 1. It presents the range condition as a way to focus on stocks with greater price movement and…

股票中國市場技術指標風險管理
SuperMind

This Chinese equity screening idea combines a minimum daily price range, a session low falling within a specified band below the prior close, and a positive product of percentage price change and a large-order activity measure. The stated final conditions…

股票中國市場技術指標市場微結構
SuperMind

This proposed stock screen combines three conditions: at least five moving averages converge, the share float is no greater than the stated threshold, and the stock’s gain at the 9:25 a.m. snapshot is below the stated cap. The article frames moving-average…

股票技術指標統計風險管理
SuperMind

This proposed equity screen combines a circulating-share threshold of no more than 5.5 billion shares with multiple turnover constraints. Read together, the stated final criteria require turnover to be at least 3% and no more than 12%, while also being above…

股票中國市場技術指標風險管理
SuperMind

This stock-screening proposal combines a turnover range of 3% to 12%, greater displayed buy-one volume than sell-one volume, and a positive outstanding convertible-bond balance. Its rationale is that moderate trading activity may indicate liquidity, buy-side…

股票市場微結構市場情緒中國市場
SuperMind

This Chinese-language post describes a stock screen for the metaverse theme in China’s A-share market. It combines membership in the sector with a price-change filter and a ranking based on net large-order flow. The stated logic seeks stocks with an opening…

股票中國市場市場情緒技術指標
SuperMind

The document outlines a Chinese A-share screening strategy that ranks stocks by capital strength, filters for a pre-open indicated gain below 6%, and selects companies whose 2019 dividend payout ratio exceeded 25%. It suggests taking the top 100 by capital…

股票中國市場因子投資技術指標
SuperMind

This selection rule screens Chinese A-shares for a positive MACD condition, ranks candidates by a stock-heat measure, and narrows the universe to codes beginning with 60. The article suggests running the screen after the market opens. It also includes…

中國市場股票動能技術指標
SuperMind

This stock-selection proposal screens Chinese A-shares for three features: association with the metaverse industry, a custom rounded-arc price pattern, and recent limit-up activity. Its refined rules require at least two limit-up sessions within the past…

中國市場股票動能突破
SuperMind

This stock-screening example combines three filters: intraday amplitude above 1, a dividend yield threshold above 25% for 2019, and a newly formed bullish KDJ crossover, where K crosses above D. It gives illustrative formula and Python approaches for…

中國市場股票技術指標動能
SuperMind

This Chinese stock-screening note combines high daily price range, a three-session limit-up run as of the previous day, and a 20-day moving average above the 120-day average. The conditions are intended to find active stocks attracting strong buying interest…

中國市場股票動能技術指標
SuperMind

This Chinese stock-screening note describes a strategy for selecting companies in the metaverse sector that had a limit-up day within the previous 25 days and whose price pattern around the most recent limit-up is judged to be rounded or arc-shaped. It…

中國市場股票技術指標趨勢追蹤
SuperMind

This document describes a short-term Chinese equity screen combining three conditions: price amplitude above 1%, free float no larger than 5.5 billion shares, and a positive 10-day return below 35%. It explains the intended rationale: select relatively…

股票動能波動率技術指標
SuperMind

This Chinese-language post proposes a stock-selection screen combining positive but bounded ten-day price gains, a threshold for recent net buying, and simultaneous bullish crossovers in technical measures. It explains the intended interpretation: recent…

股票動能技術指標
SuperMind

This stock-selection note combines a large daily high-low range, at least one strong up day during the recent trading window, and a high matching the maximum over two days. It presents the screen as a way to find volatile stocks that have shown sharp recent…

股票技術指標動能風險管理
SuperMind

This Chinese stock-selection screen combines three conditions: rank stocks among the top 100 by volume ratio, require a weekly five-period moving average to cross above the ten-period average, and require at least two limit-up sessions within the prior 500…

股票中國市場技術指標動能
SuperMind

This A-share stock screen combines a daily turnover range of 3% to 12%, a newly formed KDJ bullish crossover, and a rule excluding stocks that hit the daily price limit on the prior day. The accompanying explanation frames these filters as a way to seek…

股票中國市場技術指標動能
SuperMind

This document proposes a short-term Chinese stock screen combining daily amplitude above 1, a controlling-shareholder measure above 21%, trading volume above 10,000 lots, and an opening price above the prior close. It frames these conditions as signals of…

股票技術指標中國市場市場情緒
SuperMind

This Chinese-language post describes a stock screen that seeks shares with at least five overlapping moving averages, a price below a stated threshold, and a positive but limited 10-day gain. It frames the combination as a way to find relatively low-priced…

股票技術指標動能均值回歸
SuperMind

This stock screen selects shares whose turnover rate is between 3% and 12%, whose closing price meets a seven-day low condition, and whose previous day's trading value exceeds 60 million yuan. The article presents the liquidity filter as a way to focus on…

股票中國市場均值回歸技術指標
SuperMind

The post outlines a short-term Chinese equity selection approach that filters for turnover between 3% and 12%, excludes Beijing-listed and ST-designated stocks, and seeks candidates before 10 a.m. It frames the method as a five-step limit-up trading…

股票中國市場動能突破