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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

The article explains hidden Markov models as a way to infer unobserved market regimes from observable data. It illustrates the idea with Chinese equities, treating market conditions such as bull, bear, and sideways phases as hidden states and returns and…

股票機器學習統計中國市場
SuperMind

This educational article introduces operations on matrices and vectors as groundwork for understanding deep learning. It defines elementwise matrix addition, adding a scalar to each matrix element, and broadcasting a vector across matrix rows. It then…

機器學習統計
SuperMind

This note describes a short-term A-share screen combining a positive but limited ten-day return, a circulating market value between 5 and 10 billion yuan, and a same-day increase in holdings above five percent. The intended idea is to find stocks with recent…

股票中國市場動能風險管理
SuperMind

This Chinese equity screen combines a metaverse industry classification with a rising 30-day moving average and a revenue growth condition. It requires the current 30-day average to exceed its prior value and the stated 2021-to-2018 revenue ratio to be…

股票中國市場技術指標動能
SuperMind

This Chinese equity screen combines a daily price range filter, a weekly MACD condition, and relative trading volume. It selects stocks whose daily high-low range exceeds 1% of the previous close, whose weekly MACD is above zero with the MACD line above its…

股票中國市場技術指標動能
SuperMind

This Chinese equity screening approach combines three conditions: today’s increase in holdings must exceed 5%, the weekly price must cross above its 30-week moving average, and the 30-day moving average must be rising. Together, these are intended to capture…

股票中國市場趨勢追蹤技術指標
SuperMind

This stock screen combines three filters: membership in the metaverse industry, a positive institutional-flow measure, and a seven-session sequence of declining closes. The article presents the idea as a way to find weak recent price action in a sector while…

股票中國市場技術指標市場情緒
SuperMind

The document describes a Chinese stock-selection screen combining a robot-related company label, a 2021 listing year, a circulating market capitalization below 10 billion, and turnover between 3% and 12%. Its accompanying indicator example calculates average…

股票中國市場技術指標統計
SuperMind

This post describes a Chinese A-share screen for metaverse-related stocks with circulating share count no greater than 5.5 billion and more than two limit-up events during the previous ten trading days. It frames the screen as a way to find stocks with…

股票中國市場動能技術指標
SuperMind

This Chinese-language post outlines an A-share screen for stocks with an intraday amplitude above 1%, a robotics concept classification, and circulating market value below 10 billion yuan. It ranks qualifying names by that day’s auction amount and selects…

股票中國市場技術指標風險管理
SuperMind

This document describes a Chinese stock screening rule focused on companies classified in the metaverse industry. It seeks stocks whose opening price is near the 10-day moving average and whose turnover falls between 2% and 9%. The article gives example…

中國市場股票技術指標
SuperMind

This Chinese stock-selection method screens for a positive MACD reading, an external-to-internal volume ratio above a stated threshold, and a positive ten-day return below an upper bound. Stocks meeting all conditions are then ranked by their ten-day gains.…

股票中國市場動能技術指標
SuperMind

This Chinese equity screen combines three technical conditions: daily price amplitude above a threshold, a positive weekly MACD histogram, and a rising DEA-related measure. The article describes these as signs of price activity and technical strength, then…

股票中國市場技術指標動能
SuperMind

This Chinese stock screen combines membership in the metaverse sector, a minimum threshold for circulating market value, and a prior-day measure of main-investor control. The accompanying explanation interprets a high control reading as a sign that…

股票中國市場技術指標風險管理
SuperMind

This Chinese stock-screening example selects shares in the metaverse industry when the KDJ indicator has just crossed bullishly and the stock ranks among the top ten for large-order net volume. It proposes running the screen before 10 a.m. on each trading…

股票中國市場技術指標動能
SuperMind

This stock-selection screen combines a positive MACD reading, a share price below a stated threshold, and a ranking based on large-order net volume. It is intended to run before market open on each trading day. The accompanying rationale is that a positive…

中國市場股票動能技術指標
SuperMind

The document describes a stock selection rule combining three technical conditions: an amplitude threshold, rising bottoms, and a weekly crossover of the five-period moving average above the ten-period average. It presents the rule as a way to identify…

股票技術指標趨勢追蹤中國市場
SuperMind

The post describes a Chinese equity screening rule that selects stocks with turnover between three and twelve percent, a prior-day appearance on the broker ranking list, and a limit-up event within the preceding twenty-five days. It includes example formula…

中國市場股票技術指標動能
SuperMind

The document presents a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, at least one limit-up event during the prior 25 days, and previous-day trading value above 60 million. It includes a formula-style expression and a…

中國市場股票動能技術指標
SuperMind

This A-share selection proposal combines price range, turnover, and a price-change measure multiplied by net flow attributed to very large orders. The stated screen requires a range above one percent, turnover between two and nine percent, and a positive…

股票中國市場市場微結構技術指標