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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

This Expert Advisor uses moving average and Envelopes indicators to place pending buy and sell orders. It operates only when a new bar appears and limits order placement to a configured time window. The system can maintain up to three pending orders in each…

外匯網格交易技術指標交易執行
SuperMind

This stock selection method screens companies classified in the metaverse theme, requiring prior-day actual turnover between 3% and 28% and 2021 revenue to exceed 2018 revenue by a ratio greater than 1.1. The document presents these criteria as a way to…

股票中國市場動能風險管理
SuperMind

This A-share stock screen combines three conditions: turnover between 3% and 12%, a ten-day gain above zero but below 35%, and a rising MACD DEA line. The document explains the DEA condition as a trend-oriented technical filter and gives a formula-style rule…

股票中國市場動能技術指標
SuperMind

This Chinese A-share screening example selects stocks associated with the metaverse concept, using an opening-session price condition and a minimum listing age. Its final rule requires the stock to have been listed for more than three years and applies a…

股票中國市場技術指標回測
SuperMind

This screening idea selects China A-share companies associated with the metaverse theme, with circulating market capitalization above 10 billion yuan, and an initial listing date in 2021. The stated rationale is that newer listings might avoid some risks…

中國市場股票市場微結構
SuperMind

This screen seeks profitable companies listed in 2021, with market capitalization no greater than 10 billion yuan and turnover between 3% and 12%. The article presents the rule in prose, an indicator-style expression, and sample Python using stock-list and…

中國市場股票因子投資風險管理
SuperMind

This stock-selection screen combines membership in a metaverse theme with a price above its 250-day moving average and a holder-concentration condition. The prose describes selecting stocks whose concentration is either below 20% or above 70%, while the…

中國市場股票技術指標動能
SuperMind

This stock screen combines turnover, listing date, trading volume, and the opening price relative to the prior close. It seeks stocks listed in 2021 with turnover between 3% and 12%, current volume above 10,000 lots, and an open higher than the previous…

中國市場股票突破市場微結構
SuperMind

This A-share screening idea combines a daily range filter, a recent KDJ crossover, and year-over-year net profit growth. It selects stocks whose high-to-low range exceeds 1%, whose J line has just crossed above D, and whose parent-company net profit growth…

中國市場股票技術指標動能
SuperMind

This stock-selection method combines three conditions: daily price amplitude above 1%, weekly MACD above zero, and at least one limit-up move within roughly the past month. The document presents the screen as a way to find stocks with both an upward…

股票中國市場動能技術指標
SuperMind

This proposed A-share screen looks for stocks priced below 12 yuan, with at least five moving averages converging and the twenty-day moving average above the 120-day average. The document interprets confluence among several averages as possible agreement…

股票中國市場技術指標趨勢追蹤
SuperMind

This proposed stock screen combines three signals: today’s increase in holdings must exceed 5%, institutional direction must be positive, and the 9:25 price gain must be below 6%. The accompanying explanation interprets the first two as signs of buying…

股票中國市場市場情緒交易執行
SuperMind

This proposed A-share screen combines a 12-period RSI threshold below 65, membership in the beverage and alcohol import-export industry, and price above a short-term moving average. The text describes these as filters for momentum conditions, industry…

股票中國市場技術指標動能
SuperMind

This A-share stock screen combines trading activity, price location, and a market-attention signal. It selects stocks with turnover between 3% and 12%, an opening price within 5% of the ten-day closing-price average, and an appearance on the prior day’s…

股票中國市場技術指標動能
SuperMind

This overview explains Bollinger Bands as a volatility and trend reference made from a moving-average center line and upper and lower bands offset by a multiple of price standard deviation. It gives the general calculation: compute a rolling simple moving…

技術指標波動率突破均值回歸
SuperMind

This Chinese-language post describes a simple stock screen based on price amplitude above 1, a claim of main-fund control on the previous day, and stock scale above 200 million. Its stated aim is short-term selection. A sample implementation adds further…

股票技術指標中國市場風險管理
SuperMind

This Chinese A-share screening proposal combines the 9:25 opening move, technical-indicator crossovers, and relative trading activity. It selects stocks with an opening gain below 6% versus the prior close, ranks volume ratio and takes the top 100, and seeks…

中國市場股票動能技術指標
SuperMind

This Chinese stock-screening proposal combines daily price range, market capitalization, profitability, and large-order net volume. It looks for stocks whose high-to-low range is at least 1%, whose market value is positive and no more than 10 billion yuan,…

中國市場股票技術指標風險管理
SuperMind

The document describes a Chinese equity screen combining three filters: turnover between 3% and 12%, year-over-year net profit growth attributable to parent-company shareholders above 20% and no greater than 100%, and floating market capitalization above 10…

股票因子投資中國市場
SuperMind

This stock-selection idea combines three filters: turnover between 3% and 12%, first-level bid volume greater than ask volume, and a condition described as the start of a major upward move. The article presents the bid-versus-ask comparison as a sign of…

股票動能技術指標市場微結構
SuperMind

The document describes a Chinese equity screening rule that selects stocks whose reported position growth for the current day exceeds 5% and whose actual turnover on the previous day falls between 3% and 28%. It interprets the first condition as a sign of…

股票中國市場技術指標
SuperMind

This document outlines a stock screen combining daily price amplitude above 1, a circulating share count at or below 5.5 billion, and a selected company category such as growth or small and medium enterprise boards. It presents example formulas and Python…

股票技術指標風險管理
SuperMind

This stock screen combines three conditions: prior-day price amplitude above 1%, appearance on the previous day’s major trading activity list, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than…

股票中國市場技術指標