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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
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
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 screening rule selects stocks with an intraday amplitude above one, a daily percentage decline between four and five percent, and a circulating-share threshold stated as no more than 5.5 billion shares. The document presents the criteria as a short-term…

股票中國市場技術指標風險管理
SuperMind

This stock-screening idea targets shares in the metaverse industry, ranks them by the day’s opening auction amount, and selects the top five that have closed lower for seven consecutive sessions. The document expresses the down-day condition as a…

股票中國市場技術指標回測
SuperMind

This Chinese-language post describes a daily pre-open screen for A-share stocks. It combines a positive MACD condition with a share price below 12 and a stated increase in holdings above 5%. The rationale is to mix a trend signal and a low nominal price with…

股票技術指標動能風險管理
SuperMind

This Chinese-language post presents an equity screen focused on stocks classified in the metaverse industry. It combines a volume-ratio range with a condition based on the prior day’s turnover rate multiplied by the ratio of current auction volume to…

股票中國市場技術指標市場情緒
SuperMind

This A-share selection rule looks for stocks with amplitude above 1%, a newly formed KDJ crossover, and a closing price below 12. The article treats the range condition as a volatility filter, the crossover as a possible sign of improving momentum, and the…

股票技術指標動能波動率
SuperMind

The proposed A-share screen selects stocks whose amplitude exceeds 1% and whose current high is the highest across the latest two days, while excluding companies classified as being in Beijing. The article frames amplitude as a volatility condition and the…

股票技術指標波動率動能
SuperMind

This stock-selection screen combines three filters: amplitude above 1%, an opening price near the 10-day moving average, and turnover between 2% and 9%. The article describes the range filter as a way to find more volatile shares, the moving-average band as…

股票技術指標波動率統計
SuperMind

This Chinese stock screening example combines three proposed short-term signals: daily price range above a threshold, a high ranking in large-order net volume, and a “main uptrend start” condition. The formula defines the range using the high-low spread…

中國市場股票動能技術指標
SuperMind

This Chinese stock selection post proposes combining a positive MACD reading with three consecutive down days and a 2021 time filter. Its explanation frames the setup as pairing a longer-term upward indication with recent weakness, but the supplied code does…

中國市場股票技術指標動能
SuperMind

This Chinese strategy example applies a breakout system to a CSI 300 index ETF. It calculates a 50-day average as the middle band and sets an upper band one standard deviation above it. Entry requires the prior close to exceed that upper band and the highest…

中國市場股票突破技術指標
SuperMind

This note describes a short-term A-share screen requiring turnover between 3% and 12%, an opening price within roughly 5% of the ten-day moving average, and a close between the Bollinger middle and upper bands. It combines a measure of trading activity with…

股票中國市場技術指標波動率
SuperMind

This note proposes screening Chinese stocks using price amplitude above 1%, prior-day actual turnover between 3% and 28%, and a connection to beverage and alcohol imports. It presents the combination as a way to consider price movement, trading activity, and…

股票中國市場波動率市場微結構
SuperMind

This note describes a simple A-share stock screen using three conditions: daily price amplitude above 1%, the year 2021, and positive net buying attributed to major investors during the auction. It frames high amplitude as a sign of volatility and auction…

股票中國市場波動率市場微結構
SuperMind

The document describes a daily stock-selection screen for Chinese equities. It selects shares with turnover between 3% and 12%, a rising DEA condition, and daily MACD above zero. The accompanying rationale treats the turnover band as a way to favor active…

中國市場股票技術指標動能
SuperMind

This stock-selection rule screens Shenzhen Main Board equities using turnover, trading-flow, and valuation filters. It selects stocks with turnover between 3% and 12%, an external-to-internal traded-volume ratio above 1.3, price-to-earnings ratios from 0 to…

股票中國市場因子投資
SuperMind

This article describes a Chinese A-share screening idea that combines daily volatility, a moving-average trend filter, and a short-term MACD signal. It selects stocks with amplitude above 1, a 20-day moving average above the 120-day average, and a shrinking…

股票技術指標波動率中國市場
SuperMind

This proposed equity screen combines three filters: prior-period price amplitude above 1%, circulating shares no greater than 5.5 billion, and 2021 revenue more than 1.1 times 2018 revenue. The document gives example formula and Python-style implementations…

股票技術指標因子投資回測
SuperMind

This Chinese stock-screening strategy combines a turnover range of 3% to 12%, a newly formed KDJ golden cross, and a recent seven-day price decline. The proposed rationale is to favor reasonably liquid stocks, use the indicator crossover as a possible sign…

股票技術指標均值回歸風險管理
SuperMind

The document outlines a daily stock selection rule combining three signals: MACD above zero, ranking by individual stock popularity, and a newly formed KDJ golden cross. The positive MACD condition supplies a trend filter, popularity ranks the candidates,…

股票技術指標動能
SuperMind

The described stock screen ranks shares by the previous day’s combined buy and sell amounts from exchange trading disclosures, then filters for companies with market capitalization below 10 billion yuan and no past losses. The ranking is intended to reflect…

股票中國市場市場情緒
SuperMind

This stock screen combines a MACD condition above the zero line, a two-day high, and a shortening negative MACD histogram on a 15-minute chart. It also excludes stocks in a specified Chinese market segment. The accompanying implementation outline uses daily…

中國市場股票技術指標動能