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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
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 document presents an equity selection rule that combines a positive MACD signal, a 20-day moving average above the 120-day moving average, and year-over-year parent-company net profit growth above 20% and up to 100%. Its example implementation scans…

股票中國市場動能技術指標
SuperMind

This document describes a Chinese equity screening rule for beverage and alcohol import-export companies. It selects stocks with turnover between 3% and 12% and year-over-year parent-company net profit growth above 20% and up to 100%. The article also gives…

股票中國市場因子投資風險管理
SuperMind

This note outlines a daily stock screen combining a positive MACD reading, a share price below a stated ceiling, and a measure of trading activity based on the prior day’s turnover rate and the ratio of current auction volume to the previous day’s volume. It…

股票技術指標動能
SuperMind

This note describes a stock screen based on three chart conditions: amplitude above a threshold, a rising price base, and a rounded-bottom pattern. It presents the pattern as a way to find stocks whose lows are gradually moving higher, while filtering out…

股票技術指標回測
SuperMind

This brief template note describes a stock-screening strategy that selects companies using natural-language queries. Its example combines a small-market-cap screen with recent net inflows from large investors, a prior period of contracting volume, and a…

股票動能技術指標風險管理
SuperMind

The document outlines a stock screen that selects companies in a designated metaverse category, requires a positive recent return, and excludes firms listed for less than a chosen period. Its rationale is to combine thematic exposure and recent performance…

股票動能技術指標
SuperMind

This post describes a rule-based screen for Chinese main-board stocks. It selects shares with turnover between 3% and 12%, a daily gain above 1%, and a circulating share count no greater than 5.5 billion. The stated intent is to combine trading activity,…

股票中國市場技術指標動能
SuperMind

This Chinese-language stock screen combines an amplitude threshold above 1, a ranking among the five highest stocks by the day’s auction amount, and a rising K value from the KDJ indicator. Its rationale is to find stocks with larger price movement and…

股票中國市場技術指標動能
SuperMind

This Chinese-language screening note describes selecting stocks with turnover between 3% and 12%, an external-to-internal trading volume ratio above 1.3, and a reversal pattern called “fan bao.” The stated rationale is to find active stocks where buying-side…

股票中國市場技術指標均值回歸
SuperMind

This stock-selection post proposes combining three filters: an increase in holdings share above a stated threshold, weekly MACD above its zero line, and at least two limit-up sessions within a stated lookback period. The accompanying explanation treats these…

股票動能技術指標因子投資
SuperMind

This post presents a Chinese stock-selection screen using three main conditions: RSI below 65, float market capitalization between 5 billion and 10 billion yuan, and positive net buying attributed to major participants during the opening auction. Its Python…

股票中國市場技術指標動能
SuperMind

This post describes a Chinese A-share stock screen combining daily price range, company size, profitability, turnover activity, and a weekday filter. It selects stocks with a daily high-to-low range of at least 1%, market capitalization up to 10 billion…

股票中國市場技術指標風險管理
SuperMind

The proposed Chinese equity screen focuses on stocks classified in the metaverse sector. It ranks them by the day’s auction amount, keeps the top five, and requires the prior day’s main-fund-flow measure to be positive. The post presents this as a way to…

股票中國市場市場微結構交易執行
SuperMind

This stock-selection method screens Chinese equities using three filters: a 14-period RSI below 65, a ten-day price gain above zero but below 35%, and a ranking by individual-stock popularity. The accompanying Python example additionally considers stocks…

股票技術指標動能中國市場
SuperMind

A forum post asks how to retrieve popular industry indices through iWencai and pass them into a variable. The author describes a query combining industry indices with weekly KDJ conditions and recent main-fund-flow filters, then reports that a Python query…

中國市場股票回測
SuperMind

This note describes a daily stock screen combining MACD above zero, a share price below 12 yuan, and three consecutive declines in closing price. It interprets the MACD condition as a positive trend context and the recent losses as a possible short-term…

股票技術指標均值回歸
SuperMind

This stock-selection rule combines three filters: daily price range greater than 1%, closing price below 20, and prior-day trading value above 60 million. The article interprets the range as a sign of price movement and the trading-value threshold as a…

股票中國市場技術指標風險管理
SuperMind

This Chinese equity screen looks for stocks in the metaverse sector whose prior-day price is above the 250-day moving average while MACD was below zero two days earlier. The intended combination is sector exposure, a long-term price trend filter, and a…

股票中國市場技術指標動能
SuperMind

This stock screen combines a turnover range of 3% to 12%, appearance on the prior day’s market leaderboard, and a stated intraday drawdown between 4% and 5%. The article frames turnover as a liquidity filter, leaderboard presence as a sign of market…

股票中國市場技術指標風險管理
SuperMind

This note proposes a short-term Chinese equity screen using three conditions: a price-range measure above 1, a 9:25 price rise below 6%, and a previous-day 9:15 matched price associated with a limit-down event. It frames the filters as a combination of…

股票技術指標市場情緒中國市場
SuperMind

This note describes a Chinese stock selection screen that combines a daily price-range condition, five consecutive years of return on equity above 15%, and a limit on tradable share count. It presents the range condition as a measure of volatility, the ROE…

股票因子投資波動率中國市場
SuperMind

This Chinese equity screen combines three conditions: daily high-low range relative to the opening price above 1%, a ten-day return above zero and below 35%, and bullish technical filters. The accompanying Python example calculates moving averages of the…

股票中國市場技術指標動能