跳至內容

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 Chinese equity screen first filters for robot-related stocks with circulating market capitalization below 10 billion yuan and turnover between 3% and 12%. It then applies a 15-minute MACD condition intended to identify a shortening negative histogram,…

中國市場股票技術指標動能
SuperMind

This Chinese stock-screening idea combines a metaverse-sector filter with a long-term price trend condition and a MACD signal. It selects metaverse stocks whose price is above the 250-day moving average and whose DEA is rising. The document presents the…

中國市場股票技術指標動能
SuperMind

This Chinese-language post describes a stock selection screen combining a 14-period RSI below 65, three consecutive down candles, and an arc-shaped price pattern. It frames the candle sequence and RSI filter as signals of short-term weakness, while…

股票技術指標回測
SuperMind

This Chinese-market stock selection approach combines several daily filters: RSI below 65, a gain above 1%, and a positive day-over-day change in the KDJ indicator’s K value. It further focuses on main-board listings and describes controls involving…

中國市場股票技術指標動能
SuperMind

This note describes an equity screen that combines a 3%–12% turnover range, an engulfing-style reversal condition, and a rising DEA value from the MACD indicator. Its stated selection logic ranks qualifying stocks by market capitalization. The article also…

股票技術指標動能中國市場
SuperMind

The document proposes a stock screen that combines membership in the metaverse sector, a rounded price pattern, and exclusion of Beijing-listed A shares. It suggests that the pattern must be defined by the user and illustrates a custom range-based indicator…

股票中國市場技術指標
SuperMind

This stock selection proposal combines a technical trend filter with a historical revenue comparison. It seeks shares with at least five overlapping moving averages, a 20-day moving average above the 120-day moving average, and 2021 revenue more than 1.1…

中國市場股票技術指標因子投資
SuperMind

This stock-selection rule combines an RSI below 65, a condition labeled as the start of a strong upward move, and a rising 30-day moving average. The article’s formula defines the upward-move condition by requiring the 30-day highest high and lowest low to…

股票中國市場技術指標動能
SuperMind

This screening idea looks for stocks in the metaverse theme whose previous closing price is above the 250-day moving average and whose previous-day opening-auction turnover rate exceeds the stated threshold. The long moving average is intended to identify…

股票中國市場技術指標動能
SuperMind

This stock-screening approach combines three signals: membership in the metaverse theme, positive net buying by major participants during the opening auction, and evidence of institutional accumulation. The article describes these as ways to target a popular…

股票中國市場市場情緒交易執行
SuperMind

This document outlines a Chinese stock screen seeking shares with amplitude above 1, no limit-up session on the prior day, and three consecutive down days. The proposed idea is that a recent run of losses may create a rebound opportunity, with price…

中國市場股票均值回歸技術指標
SuperMind

This proposed stock screen looks for companies with market capitalization below 10 billion yuan and no losses, alongside a reported increase in buying interest above 5% and a maximum daily decline between 4% and 5%. The rationale is that buying activity may…

中國市場股票均值回歸風險管理
SuperMind

This document describes an A-share stock screen that selects companies with RSI below 65 and 2021 revenue more than 1.1 times 2018 revenue, then ranks them by a measure of stock popularity. It presents the combination as a way to mix a short-term technical…

中國市場股票技術指標因子投資
SuperMind

This Chinese equities strategy builds a daily candidate list from the 300 smallest eligible stocks by market capitalization, excluding special-treatment and suspended shares. It selects up to seven targets when a stock opens below the previous day’s low,…

股票中國市場均值回歸部位規模
SuperMind

This document presents a stock screen for companies associated with the metaverse theme. It requires the prior day's actual turnover rate to fall between stated lower and upper bounds and the MACD DEA line to be rising. The rationale offered is that turnover…

股票技術指標動能中國市場
SuperMind

This document presents a simple stock screen that selects shares with a daily high-low range above 1%, a price below 20, and a closing price below 12. It provides a formula and a Python sketch; the Python version also sorts selected stocks by trading volume.…

股票中國市場技術指標波動率