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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
Quantpedia
86 份文件
TqSdk
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 article explains why traders might collect listed-company announcements directly from an exchange website instead of relying only on financial portals or desktop trading software. Those services may process and organize announcements before displaying…

事件驅動交易執行
SuperMind

The proposed screen selects stocks in the metaverse industry that had a limit-up event within the prior 25 days and whose 2021 revenue exceeded 2018 revenue by a stated ratio threshold. It is intended to run before 10 a.m. and identify stocks tradable that…

股票中國市場動能事件驅動
SuperMind

This stock-selection approach combines technical conditions with a profitability filter. It screens for stocks with a 14-period RSI below 65, KDJ K below 20, and parent-company net profit growth between 20% and 100%, while also requiring positive net profit.…

股票中國市場技術指標均值回歸
SuperMind

This Chinese stock-selection proposal screens for three technical conditions: daily amplitude above 1%, weekly MACD above its signal and above zero, and an opening price within 5% of the ten-day moving average. The accompanying discussion frames amplitude as…

中國市場股票動能技術指標
SuperMind

The post proposes a short-term stock screen using three conditions: daily amplitude above 1, a negative MACD value from two days earlier, and at least two limit-up moves during the prior 500 days. It combines a technical indicator with recent price behavior,…

股票中國市場技術指標動能
SuperMind

The article outlines a Chinese equity screening rule that selects main-board stocks associated with the metaverse theme when their 14-period RSI is below 65 and their daily gain exceeds 1%. It presents the RSI condition as a possible rebound setup, while a…

股票中國市場技術指標動能
SuperMind

This A-share screening idea combines a 14-period RSI below 65 with three consecutive sessions in which the close is below the open, while excluding stocks associated with Beijing. The document gives example logic in indicator-formula and Python styles. Its…

股票中國市場技術指標回測
SuperMind

This A-share stock screen combines three conditions: turnover between 3% and 12%, best bid volume greater than best ask volume, and revenue in 2021 more than 1.1 times revenue in 2018. The article provides a plain-language rationale and example formulas and…

股票中國市場市場微結構統計
SuperMind

This Chinese stock-selection proposal combines a relative trading-activity measure with a 15-minute MACD signal. It ranks stocks by a measure formed from the previous day’s turnover rate and the ratio of today’s auction volume to the prior day’s volume. It…

股票動能技術指標回測
SuperMind

The post asks whether it is possible to calculate trading volume during the final 15 seconds before a stock reaches its daily price limit. A reply says the calculation depends on how the limit-up event is defined and points to tick data as the relevant data…

股票高頻交易市場微結構
SuperMind

This post describes an A-share stock screen that combines daily price range, market capitalization, profitability, Bollinger-band position, and relative valuation. It filters for stocks with amplitude of at least one percent, positive market capitalization…

股票中國市場技術指標波動率
SuperMind

This Chinese-language post describes a short-term A-share screening rule that combines price movement, a stochastic indicator, and a rising-high condition. It selects stocks with amplitude above 1, KDJ below 20, and a ten-period high greater than the prior…

股票技術指標波動率
SuperMind

The document proposes a Chinese equities screen for companies classified in the metaverse sector. Its initial conditions combine positive recent price change with year-over-year growth in net profit attributable to parent-company shareholders above 20% and…

股票中國市場因子投資
SuperMind

This document proposes screening Chinese equities for higher daily amplitude, a recent reversal pattern, and a three-day limit-up streak, then adds a price-to-earnings constraint relative to the industry average. It explains the reversal and consecutive…

中國市場股票動能技術指標
SuperMind

This Chinese-language post describes an intraday screen for mainland shares. Its stated conditions include price amplitude above one, excluding stocks marked ST, running the selection before 10 a.m., applying a five-part limit-up method, and requiring…

股票中國市場突破技術指標
SuperMind

This A-share screening example combines a positive MACD condition with a share price below 12 yuan and a positive return. The article says the screen is run before 10 a.m. each trading day. It also gives indicator-formula and Python illustrations, describing…

股票中國市場動能技術指標
SuperMind

This post outlines an equity screen for stocks with amplitude above 1, a daily percentage decline between four and five percent, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. The conditions combine…

股票中國市場技術指標
SuperMind

This Chinese-language post outlines an equity screening rule combining three conditions: turnover between 3% and 12%, best bid volume greater than best ask volume, and a shrinking MACD histogram on a 15-minute chart. It presents the rule both as a platform…

股票技術指標動能市場微結構
SuperMind

This stock-screening rule selects Chinese A-share companies using daily turnover, circulating market value, and region. It specifies turnover between 3% and 12%, circulating value between 5 billion and 10 billion yuan, and excludes Beijing-listed companies.…

股票中國市場市場微結構統計
SuperMind

This stock-selection proposal combines a volatility filter, a weekly moving-average crossover, and historical revenue growth. It seeks stocks with an amplitude above one, a weekly five-period moving average crossing above the ten-period average, and 2021…

股票技術指標動能統計
SuperMind

This short-term equity screen looks for stocks with daily amplitude above 1%, an upward-sloping moving-average condition, and a price reversal pattern. The stated selection rules include a move above the three-day moving average and recent closes above an…

股票中國市場技術指標均值回歸