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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 Supermind example screens Chinese equities using three conditions: turnover between 3% and 12%, a listing year of 2021, and a short-term MACD pattern on 15-minute data. The described histogram condition is that the MACD green bars are shortening. The…

中國市場股票技術指標動能
SuperMind

This Chinese stock-screening post combines a turnover band, beverage and alcohol industry classification, and a moving-average signal described as a morning-star condition. The indicator requires the five-day average to be rising, the prior close to sit…

中國市場股票技術指標動能
SuperMind

The document outlines a Chinese stock screen combining price amplitude, a morning-star candlestick condition, and an opening price change constrained to between −2% and 5% relative to the prior close. It presents amplitude as a measure of activity, the…

股票中國市場技術指標風險管理
SuperMind

This stock screen selects shares with daily high-low amplitude of at least 1% and turnover above 2% but no greater than 9%, then ranks candidates by a measure of trading activity or investor attention. The article's example formula uses traded amount as the…

股票中國市場技術指標市場微結構
SuperMind

The document outlines a technical screen for stocks in the metaverse industry. It seeks simultaneous bullish crossovers in MACD and two moving-average pairs, with the closing price above the upper and middle Bollinger Bands. The underlying rationale is to…

中國市場股票動能技術指標
SuperMind

The document proposes a Chinese stock screen combining price movement, convertible bond information, and the KDJ indicator. Its stated idea is to select shares with amplitude above a threshold, a nonempty name for an outstanding convertible bond, and a…

中國市場股票技術指標動能
SuperMind

The document describes a Chinese stock selection rule combining an amplitude threshold, a prior-day signal tied to the 9:15 matching price and limit-down conditions, and a specified closing price. It suggests sorting qualifying stocks by popularity and…

股票波動率技術指標中國市場
SuperMind

This stock-selection method combines a 14-period RSI threshold with order-book volume imbalance and an institutional-flow measure. The article first describes RSI below 65, bid-side volume above ask-side volume, and institutional direction above zero; its…

股票技術指標市場微結構市場情緒
SuperMind

The document describes a daily A-share stock screen limited to companies classified in the metaverse industry, with circulating share capital at or below 5.5 billion shares and daily price change between -5% and 2.6%. It gives a closing-price formula for…

股票中國市場技術指標波動率
SuperMind

The document describes a stock screen that selects securities whose codes begin with 60, whose daily amplitude exceeds 1, and whose daily decline lies between 4% and 5%. It presents the screen as a way to find volatile stocks that have fallen sharply, then…

股票中國市場技術指標回測
SuperMind

This documentation explains how to connect OctoBot to Telegram's API so it can listen to public groups for trading signals. It distinguishes this setup from the simpler Telegram configuration used to control OctoBot or listen to private groups. To use the…

加密貨幣交易執行市場微結構
SuperMind

The document proposes a stock screen combining daily price amplitude above a threshold, a market capitalization ceiling, positive net profit, and at least five converging moving averages. It argues that clustered averages may point to a relatively stable…

股票技術指標因子投資回測
SuperMind

This note presents a Chinese equity screen that looks for stocks associated with the metaverse theme, a rising 30-day moving average, and circulating market capitalization above 10 billion yuan. It combines a thematic classification with a trend condition…

中國市場股票趨勢追蹤技術指標
SuperMind

This note describes an A-share stock screen combining daily turnover between 3% and 12%, a newly formed KDJ golden cross, and a tradable share count no greater than 5.5 billion. Its rationale is to pair trading activity and a technical momentum signal with a…

中國市場股票技術指標動能
SuperMind

This Chinese-language post outlines a stock screen combining a daily high-low range greater than one percent, a 2021 date filter, and upward-moving trend measures. The provided formula expresses the range condition using the day’s high and low relative to…

股票中國市場動能技術指標
SuperMind

The document describes a simple Chinese A-share screen based on daily price range, excluding Beijing-listed shares, and requiring a closing price around 18.5 yuan. It presents the range test as a way to identify stocks with price movement, while the…

股票中國市場技術指標
SuperMind

The document proposes an A-share stock selection screen that combines daily price range, a specified closing price, revenue growth over several years, and additional filters for profit growth, market capitalization, and trading volume. It presents the…

股票中國市場波動率因子投資
SuperMind

This document presents an equity screen combining a price-range condition, exclusion of stocks marked ST, a selection time before 10 a.m., a five-session high condition, and turnover between 2% and 9%. Its example implementation calculates a range measure…

股票動能技術指標風險管理
SuperMind

This document describes a Chinese equity screen that selects stocks with turnover between 3% and 12%, seven consecutive daily declines, and a circulating share count no greater than 5.5 billion. It frames the falling-price pattern and smaller float as…

股票均值回歸技術指標風險管理
SuperMind

This Chinese stock-selection rule requires turnover between 3% and 12%, a newly formed KDJ golden cross, and a daily amplitude above 1%. The proposed rationale is to avoid stocks with very low or unusually high turnover, use the KDJ crossover to identify a…

中國市場股票技術指標動能
SuperMind

This Chinese equity screening proposal combines three conditions: rank stocks by volume ratio and select the top 100, identify those with the largest absolute gap between the prior day's 9:15 indicative match price and limit-down price, and require the…

中國市場股票技術指標動能