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

79,386 份文件

MQL5 code base

The Volatility Quality Index is described as a trend-oriented indicator that marks upward and downward direction with green and red signals. Its calculation uses smoothed open, high, low, and close values, compares the current close with a lagged smoothed…

技術指標波動率趨勢追蹤
MQL5 code base

This document describes a MACD variation that uses a nonlag moving average in place of the conventional exponential moving average for the MACD calculation. It also applies the nonlag average to the signal line, presenting the indicator as a faster-reacting…

技術指標動能趨勢追蹤
BigQuant

This study builds a convertible-bond strategy that separates bonds into equity-like, balanced, and bond-like groups using parity premium relative to bond value. It models each bond as a floor component plus option time value, then examines where factor…

固定收益選擇權因子投資投資組合建構
SuperMind

This research proposes treating convertible bonds differently according to whether they are bond-like, balanced, or equity-like, classified by the premium of parity value over bond value. It explains a valuation decomposition in which a bond floor or…

固定收益選擇權因子投資投資組合建構
SuperMind

This selection method looks for stocks with amplitude above 1, ranks them by large-order net volume, and excludes stocks that closed at the upper price limit on the previous day. The article includes sample screening logic and Python-style data retrieval,…

股票中國市場技術指標市場微結構
SuperMind

This stock screen combines three conditions: daily price amplitude above 1, a dividend yield above 25% for 2019, and a Shanghai listing code beginning with 60. The article gives example formula and Python implementations, with the Python example sorting…

股票中國市場波動率
MQL5 code base

This document describes an MDAC indicator that colors chart bars to communicate trend state. Green denotes an uptrend, red denotes a downtrend, and blue bars appearing after either of those colors indicate a possible trend change. The color scheme offers a…

技術指標趨勢追蹤
Kraken Learn

The document describes Humanoids, an Ethereum-based NFT collection of robotic characters, and outlines its two editions: Gen 1 and Gen 1.1. It compares the collection’s visual and collectible framing with CryptoPunks, while emphasizing its polished 3D…

加密貨幣鏈上資料去中心化金融
SuperMind

This stock selection approach looks for shares with MACD above zero and short-term moving averages spreading upward, while excluding stocks from China’s STAR Market. It presents the screen as a way to identify stocks with positive trend signals and avoid a…

中國市場股票技術指標動能
Stratmill research code

This document outlines a two-stage workflow for calculating Alpha101 factors. First, it reads daily stock data, derives base series such as returns and VWAP, and computes time-series intermediate variables for storage. Later, factor construction retrieves…

股票因子投資統計回測
SuperMind

This document describes an A-share stock screen that looks for amplitude above 1 and a weekly five-period moving average crossing above the ten-period average, while excluding Beijing-listed companies. It presents the crossover as a trend condition and…

股票中國市場技術指標趨勢追蹤
MQL5 code base

The Fractal Graph Dimension Indicator is presented as a way to distinguish trending conditions from unstable, volatile conditions. It has three inputs: the calculation period, the applied price, and a threshold. Readings below the threshold are classified as…

技術指標波動率趨勢追蹤
MQL5 code base

This indicator is designed to alert when market price crosses a moving average. Users set the moving-average length, with 200 periods given as the default, and choose a point-distance threshold that determines when movement across the average counts as a…

技術指標突破
MQL5 code base

This brief note describes CHO_HTF, a version of the CHO indicator that lets the user select a calculation timeframe independently through an input parameter. The example default is a four-hour period, allowing the indicator to be applied while viewing a…

技術指標
Qlib

This configuration describes a Qlib workflow for training a KRNN model on China’s CSI 300 universe with Alpha360 features. It sets a historical data range, uses robust feature normalization and cross-sectional label ranking, and defines a two-day forward…

中國市場股票機器學習回測
Awesome Systematic Trading

This algorithm implements a monthly cross-sectional momentum strategy in US equities. It ranks eligible stocks by their trailing 12-month return, with the most recent month skipped to reduce microstructure and liquidity biases. The highest-ranked group is…

股票動能因子投資回測
SuperMind

The post proposes selecting stocks using three recent market-activity measures: daily high-to-low amplitude above 1, actual turnover between 3% and 28% on the prior day, and prior-day trading value above 60 million yuan. It frames the combination as a way to…

股票技術指標市場微結構
SuperMind

This post outlines a Chinese equity screen that combines recent capital accumulation with company fundamentals. Its initial filters seek stocks with a market capitalization below the stated ceiling, no history of losses, and parent-company net profit growth…

股票中國市場因子投資
FMZ guides

The guide explains how FMZ handles sensitive account details and strategy parameters. It says these values are encrypted in the browser and stored as encrypted data, with decryption available on the user's private device. It also cautions against exposing…

風險管理交易執行
SuperMind

This note outlines a Chinese stock screen focused on the metaverse theme, smaller share float, positive price change, and a “main uptrend start” signal. Its final stated rules add a market-value ceiling of 10 billion yuan and cap circulating shares at 5.5…

股票技術指標動能中國市場
SuperMind

This note proposes selecting non-ST stocks with turnover between 3% and 12%, a rising DEA signal, and a limit-up move before 10:00. It describes this as a short-term limit-up approach, using the early timing of the price move alongside a trend filter and…

股票技術指標動能突破
SuperMind

This note presents a stock screen for shares with daily amplitude above 1%, an opening price near the 10-day moving average, current volume above 10,000 lots, and a high open. The example formulas define “near” as within 5% of the average and identify a high…

股票技術指標波動率動能
SuperMind

This note describes a short-term stock screen combining turnover rate, recent price performance, and a newly formed KDJ golden cross. It selects stocks with turnover between 3% and 12%, a positive 10-day gain below 35%, and a fresh bullish KDJ crossover. The…

股票技術指標動能中國市場