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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 document describes a Chinese equities screen combining a 3%–12% turnover rate, a “reversal wrap” pattern, and positive MACD lines. Its indicator example also requires the close to exceed a moving average and ranks candidates by the MACD difference. The…

股票技術指標動能中國市場
SuperMind

The post proposes a stock screen combining price action and auction-period order flow: select shares with amplitude above one, three consecutive limit-up sessions as of the prior day, and positive net buying attributed to major traders during the opening…

中國市場股票動能技術指標
SuperMind

This proposed stock screen combines three signals: at least five moving averages converging, more than two limit-up days within ten days, and a shrinking MACD histogram on a 15-minute chart. The article interprets moving-average convergence as relative…

中國市場股票技術指標動能
SuperMind

This stock screen targets companies in the metaverse industry that recorded a limit-up day within the previous 25 days and have weekly MACD above zero. The stated rationale is to combine recent market attention and possible short-term strength with an…

中國市場股票技術指標動能
SuperMind

The proposed screen ranks stocks by capital-flow strength and filters for average price above the five-day moving average and more than two limit-up sessions within the previous ten days. The rationale is that strong inflows and a rising short-term price…

股票中國市場動能技術指標
SuperMind

This stock selection method combines a daily price-range filter, exclusion of stocks marked ST, a recent price-high condition, and a rising MACD DEA line. It is intended to be applied before 10 a.m. The accompanying example defines MACD using exponential…

股票中國市場技術指標動能
SuperMind

This stock-selection screen combines a metaverse industry or concept filter with a rising 30-day moving average and a condition that the current day's low is below the previous day's low. The moving-average test is intended to identify an upward trend, while…

股票技術指標趨勢追蹤
SuperMind

This Chinese equity screening concept combines positive reported returns, a market capitalization below 10 billion yuan, a history without losses, and capital strength ranked from high to low. The article interprets capital strength as a measure of net money…

股票中國市場因子投資統計
SuperMind

This document proposes screening Chinese stocks for amplitude above 1, a three-consecutive-limit-up pattern as of the prior day, and large-order net volume above 0.05 for at least three days. It presents the combination as a way to find active, widely…

股票中國市場動能市場微結構
SuperMind

This document describes a Chinese stock-selection screen with three conditions: daily turnover between 3% and 12%, the product of the day's price change and super-large-order net volume above zero, and the previous day's auction turnover above 0.26. Its…

股票中國市場市場微結構市場情緒
SuperMind

This document describes a Chinese equity screen combining daily price range, tradable share count, and MACD. It selects stocks with an amplitude above 1, a circulating share count no greater than 5.5 billion, and MACD above zero. The accompanying explanation…

股票技術指標動能中國市場
SuperMind

This stock selection rule screens Chinese A-shares using three conditions: turnover between 3% and 12%, a newly formed KDJ bullish crossover, and first-level bid volume greater than first-level ask volume. The article presents the rule as a way to combine…

中國市場股票技術指標動能
SuperMind

This Chinese-language article presents an A-share stock screen combining an RSI reading below 65, seven consecutive sessions in which the close is below the open, and a closing-price condition involving the previous day's low. It also discusses adding…

中國市場股票技術指標風險管理
SuperMind

The screen selects stocks whose daily high-low range exceeds one percent, excludes Beijing-listed A-shares, and requires the opening price to lie above the ten-day moving average of closing prices but below 110% of that average. The article presents the…

股票中國市場技術指標波動率
SuperMind

The document outlines a Chinese A-share screening idea focused on metaverse stocks with prior-day turnover above 8% and excluding specially treated stocks. Its proposed limit-up pattern looks for activity before 10 a.m. and checks successive five-minute bars…

中國市場股票動能突破
SuperMind

This stock-selection approach screens Chinese equities in the metaverse industry for a volume ratio above 1.5 and below 6, with the 20-day moving average above the 120-day moving average. A later version adds a market-cap floor of 1 billion yuan. The article…

股票中國市場技術指標動能
SuperMind

This guide explains how to configure and operate a live trading node, including its core settings, client registration, cache and message bus backings, strategy configuration, and shutdown behavior. It emphasizes running live nodes as standalone scripts or…

交易執行市場微結構風險管理
SuperMind

The document presents a Chinese A-share stock screen combining market activity, a prior session’s 9:15 matching price at the limit-down level, and profitability history. It first describes conditions of amplitude above 1 and ROE above 15% for five…

股票中國市場因子投資技術指標
SuperMind

This Chinese-language strategy note proposes screening stocks with turnover between 3% and 12% after seven consecutive declining sessions, while excluding selected board classifications. It frames the screen as a possible way to find established companies…

股票中國市場均值回歸技術指標
SuperMind

The document describes a stock screen combining three conditions: daily high-low range above one percent of the previous close, a trading date in 2021, and a MACD value below zero from two trading days earlier. It gives corresponding formula and Python…

股票技術指標波動率風險管理