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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
Lumibot strategies
7 份文件
QuantRocket
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

12,226 份文件

SuperMind

This Chinese equity screen combines three short-term filters: price amplitude above 1, a ranking based on large-order net activity, and a 9:25 a.m. gain below 6%. The stated rationale is to identify active, volatile shares whose early move is comparatively…

股票中國市場波動率技術指標
SuperMind

This Chinese equity screening note combines a price-amplitude threshold with a named candlestick pattern and an exchange-market exclusion. It calls for amplitude above 1, a “Morning Star” pattern associated with Kute Intelligent, and exclusion of…

股票中國市場技術指標風險管理
SuperMind

This note describes a Chinese equity screen combining turnover with a stock-code filter and a recent price condition. It selects stocks whose codes begin with 60 and whose turnover is between 3% and 12%, then ranks candidates by the highest closing price…

股票中國市場技術指標風險管理
SuperMind

This A-share screen selects stocks with a daily range above one percent, a day's low between four and five percent below the previous close, and a rising DEA line. The article presents range and decline as short-term price conditions and DEA movement as a…

股票中國市場技術指標波動率
SuperMind

This A-share selection rule combines a daily high-low range above one percent, a nonempty unsettled convertible-bond name, and a newly formed upward KDJ crossover. The provided formula further requires the K value to meet or exceed D after being at or below…

股票中國市場技術指標波動率
SuperMind

This note presents an A-share stock screen that ranks names by capital strength, keeps the five with the largest auction value for the day, and requires the 30-day moving average to be rising. It interprets fund flow and auction activity as signs of…

股票中國市場趨勢追蹤動能
SuperMind

The document proposes screening Chinese metaverse-related stocks for a positive daily close-to-close return while the session low falls between 4% and 5% below the previous close. This combines a positive closing result with a substantial intraday decline,…

中國市場股票均值回歸技術指標
SuperMind

This post describes a Chinese equity screening rule combining daily price range, a historical dividend measure, and a fixed share price. Its stated logic selects stocks whose high-to-low amplitude exceeds a threshold, whose 2019 dividend ratio is above a…

股票中國市場波動率因子投資
SuperMind

This stock screen combines a price-range filter, a five-day moving-average condition, and a metaverse-related classification. It selects shares whose high-to-low range, measured against the previous close, exceeds a threshold; whose closing price is above…

股票技術指標動能中國市場
SuperMind

This stock screen combines a turnover range of 3% to 12%, a K value below 20, and year-over-year net profit growth above 20% and no more than 100%. The article frames the turnover condition as a liquidity filter, the K threshold as a technical selection…

股票技術指標因子投資中國市場
SuperMind

This Chinese stock-screening example combines a technical threshold with price movement, large-order net volume, and a popularity ranking. It proposes selecting shares with RSI below 65, using the product of percentage change and large-order net volume as a…

股票技術指標市場情緒
SuperMind

This stock-selection rule combines three short-term conditions: daily amplitude above 1%, an opening price within about 5% of the 10-day moving average, and buying-side volume more than 1.3 times selling-side volume. The accompanying explanation interprets…

股票技術指標市場情緒
SuperMind

This document outlines a Chinese stock selection rule using turnover of 3% to 12%, circulating market capitalization from 1 to 55 billion yuan, and a control activity indicator above 21. The page gives the criteria in prose and in formula-like and Python…

中國市場股票技術指標風險管理
SuperMind

The document describes a Chinese equity screen that selects beverage manufacturing stocks with daily turnover between 3% and 12% and a reversal or engulfing-style pattern. Its rationale is that turnover may indicate trading activity while the pattern may…

中國市場股票技術指標均值回歸
SuperMind

This post proposes screening Chinese stocks by daily price amplitude, a measure described as current-day shareholder control, and prior-day major-investor net buying. It presents the combination as a way to capture market sentiment and capital flows. The…

股票中國市場技術指標市場情緒
SuperMind

This post describes a Chinese equity screening idea that combines three criteria: a dividend payout ratio above 25% in 2019, strong capital activity ranked from high to low, and evidence of major-investor control on the prior day. It suggests turnover and…

股票中國市場因子投資市場情緒
SuperMind

This ProRealTime indicator estimates average forward price movement conditional on the current reading of RSI, Stochastic, Williams %R, or ADX. It divides indicator readings into 20 five-point ranges, then separates observations according to whether the…

技術指標統計回測
SuperMind

This Chinese equity screening rule combines a turnover filter with a recent price pattern and listing-year condition. It selects stocks with turnover between 3% and 12%, listed in 2021, whose closing prices have fallen for three consecutive days. The post…

股票技術指標均值回歸中國市場
SuperMind

This Chinese-market stock screen combines three historical activity filters: daily amplitude above 1%, turnover between 2% and 9%, and at least two limit-up events within a 500-day lookback. The document frames amplitude as a volatility measure, turnover as…

中國市場股票波動率技術指標
SuperMind

This stock screen targets companies classified in the metaverse sector whose opening price is near the 10-day moving average and whose prior-day turnover exceeds 8%. It combines a sector filter with a short-term price condition and a measure of recent…

中國市場股票技術指標
SuperMind

This stock selection method combines three conditions: turnover between 3% and 12%, an opening price near the ten-day moving average, and positive institutional activity. Its example implementation also requires the close to exceed the previous close, making…

股票技術指標動能中國市場
SuperMind

This Chinese stock-selection note proposes screening for shares with an amplitude above one, ranking among the top five by the day’s auction amount, current volume above ten thousand lots, and a positive opening gap. The accompanying explanation treats a…

中國市場股票技術指標交易執行
SuperMind

This Chinese-language post proposes a stock screen combining three conditions: daily price range above 1%, a positive ten-day return below 35%, and a measure labeled today’s position increase above 5%. It interprets the range as a sign of active price…

股票動能技術指標統計
SuperMind

This Chinese A-share screening idea filters for stocks classified in the metaverse industry, limits circulating shares to at most 5.5 billion, and selects the five with the highest amount traded in the current day’s opening auction. The article provides a…

股票中國市場交易執行市場微結構