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
Lumibot strategies
7 份文件
QuantRocket
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

79,386 份文件

MQL5 code base

The ExMass indicator is presented as a tool for evaluating market fluctuations. The document identifies its author and notes that the indicator was first implemented in MQL4 and published in 2006. It provides no further explanation of the calculation, signal…

技術指標波動率
MQL5 code base

PFE2 is described as a smooth oscillator displayed as a color histogram, intended to show current market trends. The document offers little detail about its calculation or interpretation: the original author is unknown, and no explanation of the indicator’s…

技術指標趨勢追蹤
BigQuant

This report summary examines whether Chinese equity index returns and industry performance vary by lunar calendar month. It analyzes eight major mainland indices using historical monthly average returns and regression tests with autocorrelation-consistent…

股票統計中國市場事件驅動
MQL5 code base

The document presents a MetaTrader implementation of the Variable Index Dynamic Average (VIDYA). It starts with an EMA-style smoothing factor derived from the selected EMA period, then scales that factor by the absolute value of a Chande Momentum Oscillator…

技術指標動能
SuperMind

This Chinese equity selection proposal filters for stocks with daily amplitude above one percent, at least two limit-up events within the past 500 days, and a positive ten-day return below 35 percent. The rationale combines recent positive momentum with…

股票動能波動率中國市場
MQL5 code base

The document describes an indicator that measures upper and lower candlestick wick lengths in points and plots them in a separate chart window. It offers four display modes: show the two wick lengths separately, show only the wick opposite the candle’s…

技術指標市場微結構
SuperMind

This proposed Chinese equity screen combines three conditions: daily amplitude above one percent, large-order net inflows during the afternoon, and membership in metaverse-related themes such as virtual reality, gaming, or digitalization. Its rationale is…

股票動能波動率市場情緒
MQL5 code base

This brief indicator description explains the Donchian channel, a technical tool built from the highest high and lowest low over a chosen lookback period. The upper band is the maximum high, the lower band is the minimum low, and the optional middle line is…

技術指標突破
BigQuant

This weekly market note links macro conditions, Bitcoin exchange-traded fund flows, spot momentum, and options positioning. It reports that diminishing outflows from one fund and inflows to other funds accompanied a rise in Bitcoin, and discusses the…

加密貨幣選擇權波動率動能
Amberdata research

This strategy-sharing article describes an enhanced China Securities 150 equity approach that blends model-based stock ranking with technical timing. The universe is manually narrowed to roughly 100–300 large, liquid constituent-style stocks. An AI model…

股票機器學習動能技術指標
SuperMind

This Chinese-language post outlines an equity screening idea combining daily amplitude above 1%, an opening price near the 10-day moving average, and an arc-shaped price pattern. The proposed rationale is to find stocks with meaningful movement that are near…

股票技術指標波動率
SuperMind

This proposed equity screen combines a price range condition, sustained profitability, and a snapshot of order book demand. It selects stocks whose high minus low is at least one unit, whose return on equity exceeds 15% in each of the prior five years, and…

股票因子投資市場微結構技術指標
MQL5 code base

This document describes an Expert Advisor that trades using the ASCtrend indicator. A signal is generated when a colored indicator point appears at the close of a bar. The system relies on a compiled indicator file and a supporting trading library, which are…

外匯技術指標回測
BigQuant

This study tests whether machine learning can explain stock returns left unexplained by a conventional linear equity factor model. It uses 22 style factor exposures to predict standardized stock specific returns, then evaluates boosted trees, random forests,…

股票因子投資機器學習統計
SuperMind

This stock screen selects shares whose daily high-low range exceeds one, whose prior-day actual turnover is between 3% and 28%, and whose opening price is near the ten-day moving average. The article frames the range and turnover filters as ways to focus on…

股票技術指標動能回測
BigQuant

This research summary examines why firms repurchase shares when short sellers increase their positions. It contrasts managerial myopia, in which buybacks protect near-term prices or earnings at a cost to long-term owners, with a private-information…

股票事件驅動統計美國市場
SuperMind

This stock selection proposal combines three filters: daily price range, five consecutive years of return on equity above 15%, and large-order net volume above 0.05 for at least three days. It then suggests smoothing that flow measure and requiring its…

股票因子投資技術指標統計
SuperMind

This post proposes screening A-shares for turnover between 3% and 12%, a positive gain over ten days that remains below 35%, and no limit-up close on the previous day. The author characterizes the method as a momentum-oriented screen and cautions that…

股票中國市場動能風險管理
Awesome Systematic Trading

This algorithmic example describes a monthly volatility risk premium trade using SPY options and shares. It selects options with an expiry near one month, sells an at-the-money call and put to form a short straddle, and buys a put with a strike near 15%…

選擇權股票波動率風險管理
BigQuant

This discussion explains why a stock-selection template that lists close divided by the adjustment factor may not produce that calculated feature in its results. The reported output shows the two inputs as separate columns, suggesting the expression was not…

股票技術指標
SuperMind

The screen targets Chinese-listed stocks categorized in the metaverse theme, excludes special-treatment shares, and requires price to be above its five-day moving average. It is intended to run before 10 a.m. and adds a short-term pattern described as a…

中國市場股票技術指標動能
MQL5 code base

The Squize_MA indicator displays where two moving averages with different averaging periods intersect, alongside horizontal price limits. Its trading premise is that a breakout beyond those flat limits may signal conditions for a sustained trend. The…

技術指標突破趨勢追蹤
MQL5 code base

This indicator builds a rolling volume profile from completed bars and adjusts price-bin width using Average True Range. It limits the number of bins, identifies the Point of Control as the highest-volume bin, and expands from it to calculate the Value Area.…

外匯技術指標均值回歸突破