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
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 document outlines an A-share stock screen combining an RSI below 65, a daily gain above 1%, main-board listing, and non-ST status. It proposes selecting five stocks from the day’s limit-up leaders, with selection intended before 10 a.m. The rationale…

股票中國市場技術指標動能
SuperMind

This Chinese-language post proposes screening stocks for turnover between the stated bounds, beverage and alcohol import-export exposure, current volume above the stated threshold, and a higher opening price. It presents the combination as a way to consider…

股票技術指標動能中國市場
SuperMind

This Chinese equity screen combines three conditions: MACD above zero, descending ranking by capital-flow strength, and more than two limit-up days within ten days. Its examples add fundamental filters such as positive valuation ratios and return on equity,…

中國市場股票動能技術指標
SuperMind

This Chinese stock-screening proposal combines daily price amplitude above one percent, market capitalization below 10 billion yuan, positive net profit, and a shortening MACD histogram on a 15-minute interval. The author treats amplitude as a way to find…

中國市場股票技術指標動能
SuperMind

This note outlines a technical stock screen that combines turnover between 3% and 12% with a reversal pattern and rising price lows. The accompanying indicator conditions use a high reversal score, a low stochastic K reading, and a short-period price bias…

股票中國市場技術指標均值回歸
SuperMind

This note proposes screening equities for a high dividend payout ratio in 2019, a sufficiently long listing history, and strong capital activity. It describes trading strength using measures such as turnover and relative volume, with the goal of finding…

股票中國市場因子投資技術指標
SuperMind

This note describes a China A-share screening rule for main-board stocks. It combines daily turnover between 3% and 12%, membership in a robotics concept group, floating market value below 10 billion yuan, and a prior-day indicator of main-fund control. The…

股票中國市場技術指標市場微結構
SuperMind

This stock screen combines a 2019 dividend measure above a stated threshold, a 20-day moving average above the 120-day average, and a ranking by capital intensity. The moving-average comparison is presented as a way to favor stocks whose shorter-term trend…

股票趨勢追蹤技術指標因子投資
SuperMind

This stock-screening idea combines a daily price-range threshold, an RSI ceiling, and buying volume greater than selling volume. The range condition is intended to find stocks with movement, while RSI below the stated cutoff avoids the strongest overbought…

股票技術指標動能統計
SuperMind

This Chinese stock-selection post describes a screen that filters for shares with turnover between 3% and 12%, listed in 2021, then ranks them by capital strength. It presents the combination as a way to consider both trading activity and recent money flows,…

股票中國市場動能技術指標
SuperMind

The document outlines a daily pre-open stock screen for Chinese equities. It selects stocks with MACD above zero and a price below 12 yuan, then ranks candidates by that day’s auction amount and keeps the top five. The rationale is to combine a technical…

中國市場股票技術指標動能
SuperMind

This proposed A-share screen combines daily amplitude above 1, exclusion of ST-designated stocks, a five-session limit-up pattern, and large-order net flow above 0.05 for at least three consecutive days. The post describes large-order net flow as a…

股票中國市場動能市場微結構
SuperMind

This A-share stock-selection rule screens for turnover between 3% and 12%, excludes Beijing-listed shares, and selects stocks described as having fallen on each of the previous seven trading days. The post presents consecutive declines as a way to find…

股票中國市場均值回歸技術指標
SuperMind

This proposed A-share screen combines three ranking and selection inputs: descending capital intensity, descending stock popularity, and a dividend payout ratio above 25% for 2019. The document interprets capital intensity and popularity as measures of…

股票中國市場因子投資市場情緒
SuperMind

The post proposes a Chinese stock-selection screen combining price movement, trading activity, and company size. Its stated rules require amplitude above 1, a product involving the previous day’s turnover rate and today’s auction volume relative to the prior…

中國市場股票技術指標統計
SuperMind

The post describes a strategy adapted from another approach and characterized by its author as a moving-average method that takes long positions. The author reports a four-year backtest with a total return of 120 times the starting value and a maximum…

趨勢追蹤技術指標回測
SuperMind

This proposed stock screen combines an amplitude threshold above 1, three moving-average crossover conditions, and a positive institutional-direction indicator. The explanation frames the moving averages as a trend filter and the institutional measure as a…

股票中國市場技術指標動能
SuperMind

This stock selection rule screens A-shares using four conditions: turnover between 3% and 12%, the product of daily percentage change and super-large-order net flow above zero, positive institutional activity, and volume expansion. A reference formula adds a…

股票中國市場技術指標市場微結構
SuperMind

This article describes a China A-share stock screen that combines turnover, company size, profitability, and a rising-lows price pattern. Its stated filters restrict turnover to a specified band, market capitalization to below a stated ceiling, and earnings…

中國市場股票技術指標突破