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
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
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 selects stocks with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a ratio involving the prior day’s turnover and the current opening-auction volume relative to prior volume that falls…

中國市場股票交易執行市場微結構
SuperMind

This Chinese equity screen combines three filters: membership in the metaverse sector, a positive institutional-flow measure, and a rising-bottom price condition. The note gives an indicator formula that compares recent and longer-window lows and checks…

股票技術指標中國市場動能
SuperMind

This note describes a simple Chinese equity screen combining daily turnover between 3% and 12%, an opening price within roughly 5% of the ten-day moving average, and a rising-bottom condition. It frames turnover as a liquidity filter, proximity to the moving…

股票技術指標中國市場趨勢追蹤
SuperMind

This short-term stock screen selects shares with turnover between 3% and 12%, an appearance on the previous day’s trading leaderboard, and a 14-period RSI below 65. The document frames turnover and leaderboard appearance as signs of trading activity, while…

股票中國市場技術指標動能
SuperMind

This screen combines daily price range, a share-price ceiling, and a moving-average crossover. It seeks stocks with amplitude above 1%, a closing price below 20, and a 5-period moving average crossing above a 10-period average. The text describes the…

股票中國市場技術指標動能
SuperMind

This stock screen combines three conditions: daily amplitude above 1%, circulating market value above 10 billion yuan, and a decline between 4% and 5% under the document’s stated calculation. It presents the setup as a way to find sizable, active stocks that…

股票中國市場波動率技術指標
SuperMind

This note outlines a screen for metaverse-related stocks using a positive recent return and a moving-average condition. The initial description refers to the average price being above the five-day moving average, while the final selection rule and formulas…

股票中國市場技術指標動能
SuperMind

This equity screen selects stocks whose codes begin with 60, whose turnover rate is between 3% and 12%, and whose prior-day main fund flow is positive. The rationale is to combine a trading-activity range with a signal that large investor flows were…

股票中國市場市場微結構技術指標
SuperMind

This note describes an equity screen for stocks with at least five overlapping moving averages and a 20-day moving average above the 120-day average. The proposed interpretation is that clustered averages indicate short- and long-term trend agreement, while…

股票技術指標趨勢追蹤
SuperMind

This proposed Chinese A-share screen selects stocks associated with the metaverse theme whose circulating share count is at most 5.5 billion and whose weekly closing price crosses above its 30-week moving average. The article presents the crossover as a way…

股票中國市場技術指標趨勢追蹤
SuperMind

This proposed A-share screen combines three short-term signals: a shorter 15-minute MACD histogram, a report that major investors controlled trading the previous day, and a daily increase in holdings above 5%. The document treats the capital-flow and control…

股票技術指標動能風險管理
SuperMind

The proposed stock screen starts with Chinese A-shares, excludes Beijing-listed stocks, and selects shares whose turnover rate falls between 3% and 12%. It then requires first-level bid volume to exceed first-level ask volume, using displayed order-book…

股票中國市場市場微結構交易執行
SuperMind

This Chinese stock-screening example selects companies classified in the metaverse industry whose opening price is near the ten-day moving average, with relative volume between 1.5 and 6. The accompanying explanation frames the industry classification and…

中國市場股票技術指標動能
SuperMind

This stock-selection note combines two filters: rank stocks by the strength of fund inflows and retain those that reached the daily price limit at least once during the prior 25 days. It describes stronger inflows and recent limit-up moves as signs of…

中國市場股票動能技術指標
SuperMind

This article proposes a stock screen combining a technical condition with valuation and size filters. It selects equities with an RSI below a stated threshold, positive trailing price-to-earnings ratio, and free-float market capitalization within a specified…

股票中國市場技術指標因子投資
SuperMind

This article describes a Chinese-equity screening rule that restricts candidates to the metaverse industry, looks for a newly formed KDJ bullish crossover, and requires reported outside trading volume to exceed inside volume by a stated ratio. It frames the…

股票中國市場技術指標市場微結構
SuperMind

This Chinese-language strategy note proposes adding stocks to a candidate pool when they have a price range above a stated threshold, at least one limit-up event in the preceding 25 days, and a current close above the previous session’s low. It interprets…

股票動能波動率技術指標
SuperMind

This post proposes screening Chinese A-share stocks using a daily price-range threshold above one percent and a requirement related to outstanding convertible-bond names, then ranking candidates by average traded value. Its stated rationale combines trading…

股票中國市場波動率因子投資
SuperMind

This Chinese-language note proposes screening stocks for a price range greater than one, a shortening negative MACD histogram on a 15-minute chart, and a selected company type. It frames the range as a volatility filter and the histogram condition as a…

股票技術指標波動率中國市場
SuperMind

The article proposes a short-term stock screen combining three conditions: daily high-low amplitude above one percent, a large-order net-flow ranking threshold, and exclusion of stocks listed on China's STAR Market. Candidates are then ranked by trading…

股票中國市場動能技術指標
SuperMind

This Chinese-language post outlines an equity screen using three main conditions: amplitude above 1, rising bottoms, and exclusion of stocks that hit the daily limit the previous day. It provides sample indicator formulas and Python-like logic, and proposes…

股票中國市場技術指標動能
SuperMind

This Chinese-language post describes a stock screen that requires amplitude above 1, ranks candidates by today’s auction amount, and selects the top five, while also requiring external volume to exceed internal volume by a stated ratio of 1.3. The post…

股票中國市場技術指標市場微結構
SuperMind

This BigQuant example describes a stock-selection workflow that calculates each stock’s 15-day price change and 20-day average turnover from local CSV files. It ranks stocks by 15-day change, keeps the lower half, joins those names to a current stock list,…

中國市場股票均值回歸技術指標
SuperMind

This note describes a Chinese equity screen using daily amplitude above 1, a controlling-shareholder measure above 21, and turnover between 3% and 12%. It presents these filters as a way to find active, tradable stocks while avoiding names that are either…

中國市場股票技術指標市場微結構