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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 stock-selection screen combines three conditions: at least five moving averages converge, the tradable share count is no more than 5.5 billion shares, and the stock has hit its daily upper price limit more than twice within ten days. The stated…

股票中國市場動能技術指標
SuperMind

This Chinese-language article presents a stock screen combining four conditions: daily high-to-low range above one percent, membership in a robotics-related concept, circulating market capitalization below 10 billion yuan, and a nonempty name for an…

股票中國市場波動率事件驅動
SuperMind

This post proposes screening stocks for price amplitude above 1, upward-diverging moving averages, and previous-day turnover above 8%. It frames amplitude and moving-average behavior as measures of recent price action and turnover as a gauge of market…

股票動能技術指標中國市場
SuperMind

This Chinese-language post describes an equity screening rule that selects stocks with a 14-period RSI below 65, three consecutive bearish sessions, and a weekly red-bar signal. The combination is presented as a way to find stocks that have recently weakened…

股票均值回歸技術指標中國市場
SuperMind

This Chinese stock-selection example screens for securities whose codes begin with 60, whose turnover rate is between 3% and 12%, and whose daily percentage change falls between a 4% and 5% loss. The accompanying sample workflow obtains a listed-stock…

中國市場股票技術指標風險管理
SuperMind

This stock-selection rule combines three conditions: membership in the metaverse theme, a daily high-low range above 1%, and a KDJ reading below 20. The article describes the range condition as seeking more active price movement and treats the low KDJ value…

股票技術指標動能回測
SuperMind

This stock screen ranks shares by capital-flow strength, from strongest to weakest, and filters for a positive price-to-earnings ratio and a dividend payout ratio above 25% in 2019. The stated rationale is to combine evidence of investor inflows with…

股票因子投資市場情緒風險管理
SuperMind

The proposed screen selects main-board stocks using three conditions: daily amplitude above one, large-order net volume above 0.05 for at least three consecutive days, and outside volume more than 1.3 times inside volume. The document interprets amplitude…

股票中國市場技術指標市場情緒
SuperMind

The proposed equity screen combines daily amplitude above 1, a turnover activity measure between 0.5 and 2, and weekly MACD above its signal line and zero. The activity measure is described as yesterday’s turnover multiplied by today’s auction volume…

股票技術指標動能波動率
SuperMind

This stock selection rule combines three daily price conditions: percentage amplitude above 1, a current high equal to the highest high across the current and previous day, and a rising 30-day simple moving average. The intended screen seeks shares with…

股票技術指標波動率趨勢追蹤
SuperMind

The proposed stock screen combines three conditions: price amplitude above a stated threshold, a shortening negative MACD histogram on a 15-minute interval, and association with the metaverse theme. The idea mixes a volatility filter, a short-horizon…

股票技術指標動能中國市場
SuperMind

This note describes a short-term A-share screen using daily amplitude above 1% and relative volume between 1.5 and 6, measured against a five-day average. The article's stated logic adds an exact closing-price condition of 18.5, and it characterizes the…

股票技術指標波動率中國市場
SuperMind

This note presents a technical stock screen requiring daily amplitude above 1%, a current low below the previous day's low, and a rising 30-day moving average. It frames the wide range as a sign of heightened price movement, the lower low as a pullback…

股票技術指標趨勢追蹤中國市場
SuperMind

This note describes an A-share stock screen combining daily price amplitude above 1%, a reversal pattern, and positive trailing-twelve-month P/E. The amplitude condition targets stocks with larger daily ranges, while the reversal condition is intended to…

股票技術指標中國市場風險管理
SuperMind

This document describes a proposed screen for stocks in the Chinese metaverse theme. It combines a price condition—average price above the five-day moving average—with a MACD condition referring to a value below zero two days earlier. The article frames the…

股票中國市場技術指標動能
SuperMind

This document outlines an A-share stock screen based on turnover between 3% and 12%, excluding Beijing-listed shares, then ranking candidates by a measure of individual-stock popularity or market heat. It presents the turnover range as a way to focus on…

股票中國市場市場情緒
SuperMind

This stock screen looks for shares with MACD above zero, ranks qualifying names by reported investor interest, and keeps stocks that appeared on the previous day’s trading leaderboard. It is intended to run after the market opens. The article presents the…

股票動能技術指標市場情緒
SuperMind

The strategy applies K-Means clustering to daily index features, such as recent average volatility, MACD, and average trading volume, to group trading days into market regimes. With two clusters, it compares each day’s feature vector with cluster centers,…

機器學習股票技術指標回測
SuperMind

This Chinese equity screen combines three conditions: a positive but below 35% return over ten days, a prior-day 9:15 indicative auction price at the limit-down level, and a current increase in holdings share above 5%. The article interprets the holdings…

股票中國市場動能市場情緒
SuperMind

This Chinese equity selection method looks for stocks with turnover between 3% and 12%, greater displayed bid volume than ask volume, and positive net buying attributed to major participants during the auction. The post also includes a price trend condition:…

股票中國市場市場微結構技術指標
SuperMind

This article describes a Chinese equity screen that combines a 3%–12% turnover range, stock codes beginning with 60, and a ratio of external to internal trading volume above 1.3. It frames turnover as a liquidity consideration and the volume ratio as a…

股票中國市場市場微結構技術指標
SuperMind

This Chinese-language article outlines an equity screen for stocks in a metaverse industry classification, using a positive-return condition and a pattern described as three consecutive down days. Its stated rationale is mean reversion: a recent run of…

股票中國市場均值回歸技術指標