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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 stock screen combines a turnover-rate range of 3% to 12%, exclusion of Beijing-listed A shares, and a rounded price-pattern condition. The article frames turnover as a measure of capital activity and the chart pattern as a possible indicator of upside…

股票技術指標中國市場回測
SuperMind

This article describes a factor test of price-to-earnings ratio as a stock selection signal among CSI 300 constituents. It divides stocks into five groups, then compares group returns under weekly and monthly rebalancing. The reported qualitative result is…

股票因子投資回測中國市場
SuperMind

The document proposes a Chinese stock screen combining three conditions: daily amplitude above a threshold, evidence interpreted as main-fund control on the prior day, and membership in the beverage manufacturing industry as a proxy for beverage and alcohol…

股票中國市場技術指標波動率
SuperMind

This post outlines a short-term Chinese equity screen that combines amplitude above one, exclusion of special-treatment stocks, selection before 10 a.m., a five-session closing-price high condition, and a candlestick signal described as a morning star. The…

股票中國市場技術指標動能
SuperMind

This document outlines a stock selection rule based on three daily market signals: an intraday high-low range above one percent of the previous close, a proxy for afternoon large-order net inflow, and turnover between two and nine percent. The screen is…

中國市場股票技術指標市場微結構
SuperMind

This document proposes screening metaverse-sector stocks for a positive return and an associated outstanding convertible bond with a nonempty short name. It presents the bond link as a way to focus on companies that have issued convertible debt, while the…

中國市場股票固定收益風險管理
SuperMind

This document describes a short-term stock screen for companies in the metaverse sector. It requires a limit-up move within the prior 25 days and a current morning star reversal pattern, then suggests ranking candidates with an oscillator. The intended…

中國市場股票技術指標動能
SuperMind

This stock screen targets companies classified in the metaverse theme. It first requires prior-day turnover above 8%, then selects stocks whose current day’s low falls between 4% and 5% below the preceding close. The final version adds a trend filter: the…

股票中國市場技術指標風險管理
SuperMind

This Chinese-language post describes an equity screening idea that combines price movement, a morning-star pattern associated with a named stock, and positive large-order net flow over consecutive sessions. The intended rationale is to find stocks with…

股票技術指標動能市場情緒
SuperMind

The post describes a stock screen combining three conditions: turnover between 3% and 12%, a rising DEA signal, and positive afternoon large-order flow. It frames the filters as measures of trading activity, short-term direction, and buying pressure. The…

股票動能技術指標交易執行
SuperMind

This post describes a Chinese equity screen combining daily price amplitude above 1%, membership in a robotics concept group, free-float market capitalization below 10 billion, and previous-day opening-auction turnover above 0.26. It sketches implementations…

股票中國市場技術指標風險管理
SuperMind

This document presents a short-term Chinese equity screen based on three signals: daily price amplitude, the share of total market value represented by circulating shares, and the number of limit-up days in a recent ten-day window. Its revised criteria…

股票中國市場動能風險管理
SuperMind

This document describes a Chinese equity screen for Shenzhen main board companies associated with beverage and alcohol imports or exports. It selects stocks with turnover between 3% and 12%, price-to-earnings ratios from 0 to 29.01, and price-to-book ratios…

股票中國市場因子投資
SuperMind

The screen selects main-board shares with turnover between 3% and 12%, a daily gain above 1%, and a closing price between the 20-day moving average and the Bollinger upper band. The post frames turnover and daily price change as filters for activity and…

中國市場股票技術指標動能
SuperMind

This document describes a Chinese equities screen that selects stocks with turnover between 3% and 12%, an IPO year of 2021, and weekly MACD above zero. It explains the screen as a way to identify potentially growing, smaller-cap stocks, though the stated…

股票中國市場技術指標動能
SuperMind

This research note describes a tactical asset allocation method that converts the tone of company and macroeconomic news into a slower-moving signal. News sentiment scores are aggregated weekly, then filtered with a two-sided cumulative sum (CUSUM) procedure…

多資產市場情緒動能投資組合建構
SuperMind

This document proposes screening stocks for turnover between 3% and 12%, an external-to-internal trading volume ratio above 1.3, and positive price-to-earnings. It presents turnover as a measure of market activity, the volume ratio as an indication of buying…

股票市場微結構統計中國市場
SuperMind

This document outlines a daily stock selection method that keeps shares with MACD above its zero line, ranks candidates by reported popularity, and requires first-level bid volume to exceed ask volume. Selection is intended to take place after each trading…

股票技術指標動能市場微結構
SuperMind

This document describes a short-term A-share screening rule based on price amplitude above 1, current volume above 10,000 lots, a higher opening price, and an opening price near the ten-day moving average. It explains the intended rationale: amplitude and…

股票技術指標中國市場
SuperMind

This short-term stock screen selects shares with amplitude above 1, an indicator described as main-player control on the prior day, and turnover between 2% and 9%. The note interprets amplitude as evidence of larger price swings, the control measure as a…

股票波動率市場微結構風險管理
SuperMind

This short-term stock-selection idea filters for daily amplitude above 1, a current high equal to the highest high over the current and prior day, and an opening-price change between −2 and 5 relative to the stated settlement price. The author frames the…

股票波動率突破技術指標
SuperMind

This stock screen combines three conditions: at least five moving averages coincide, the stock’s ten-day return is positive but below 35, and revenue in 2021 divided by revenue in 2018 exceeds 1.1. The note explains the moving averages using 5-, 10-, 20-,…

股票技術指標動能因子投資
SuperMind

This Chinese stock-selection note proposes finding short-term rebound candidates by combining daily amplitude above 1, an upward divergence in moving averages, and seven consecutive down sessions. It interprets amplitude as a measure of price movement, the…

股票均值回歸技術指標風險管理