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

Amberdata research

The podcast account follows Jake Ostrovskis’s move from global macro trading into crypto OTC markets. It describes his focus on fair value and volatility dislocations, and the OTC desk’s role in arranging large or tailored trades across spot, options, CFDs,…

加密貨幣選擇權波動率做市
BigQuant

This document is a brief summary of an A-share quantitative market-timing report titled around the possibility that a lower open can offer an opportunity. It reports contemporaneous observations on sector strength, index valuations, sector relative…

股票中國市場技術指標統計
SuperMind

This A-share selection rule combines three conditions: a daily range above 1%, weekly MACD above zero, and at least two limit-up events within a 500-day lookback. The document presents repeated limit-up moves as a possible sign of strength, with the range…

股票中國市場動能技術指標
SuperMind

This stock selection rule screens for A-shares with a daily high-low range above 1% and turnover between 2% and 9%. It combines a volatility measure with trading activity and a market classification filter. The document also sketches an implementation using…

股票中國市場波動率技術指標
BigQuant

This research summary surveys dynamic allocation methods for equity style factors. It organizes the approaches by whether they use return information, risk information, or both, adapting methods originally used in broad asset allocation. The study first…

股票中國市場因子投資投資組合建構
BigQuant

This document explains how to combine absolute, time-series momentum with relative, cross-sectional momentum in a multi-asset portfolio. It describes a unified portfolio framework that treats each pair of instruments as a relative-momentum opportunity,…

期貨多資產動能趨勢追蹤
MQL5 code base

The Math-System indicator presents a set of target support and resistance levels for an anticipated price move. The document points readers to related Murrey Math indicators, placing this tool in a family of chart-based level systems. It states that the…

技術指標風險管理
SuperMind

The article describes an equity screen combining three conditions: membership in the metaverse theme, a prior-day close above the 250-day moving average, and a rising-bottom pattern. It explains the latter as a retest after a decline and rebound, where the…

股票技術指標中國市場風險管理
MQL5 code base

This indicator visualizes a volume-weighted moving average as a cloud that fills the chart background. The moving average acts as the boundary separating the cloud’s colors, providing a visual reference for price movement around the average. It also displays…

技術指標
BigQuant

This report compares several Chinese language models as assistants for discovering equity liquidity factors over a specified historical period. Each model proposes data inputs and a formula built from trading volume, turnover, amount, or price. The author…

股票中國市場因子投資機器學習
BigQuant

This weekly report assesses the Chinese equity market after a rebound in early June 2022. Its timing framework compares 20-day and 120-day moving averages for a broad market index and combines their distance with a market breadth or “profit effect” measure.…

股票中國市場技術指標趨勢追蹤
BigQuant

This article proposes six checks to run before deploying a strategy that has performed well in historical backtests. It recommends perturbing data with delays, missing observations, and outliers; scanning core parameters for broad regions of acceptable…

回測風險管理交易執行統計
Freqtrade

This Freqtrade strategy example applies an Almgren–Chriss style execution schedule to position entries and exits. It estimates a parameter called kappa from rolling price variability, candle range, and volume, using it to shape the fraction traded in each…

交易執行市場微結構風險管理技術指標
BigQuant

This brief Chinese-language forum answer addresses how to use the data parameter in a quantitative trading workflow. It notes that scheduled functions receive both data and context as inputs, pointing readers toward the platform documentation for details.…

技術指標回測
MQL5 code base

This document describes a MetaTrader 5 version of EMA Levels that can display indicator values from timeframes other than the active chart. It supports the platform’s timeframes and offers automatic second- and third-higher-timeframe choices that adjust when…

技術指標
SuperMind

This post proposes screening stocks in the metaverse industry using two conditions: price or average price above a five-day moving average, and prior-day auction turnover above 0.26. It interprets the moving-average condition as a short-term upward trend and…

股票技術指標動能中國市場
Amberdata research

This market snapshot links macroeconomic conditions with Bitcoin and Ethereum developments. It discusses strong US employment data and Federal Reserve expectations, compares reported outflows from Bitcoin ETFs with steadier Ethereum ETF flows, and reviews…

加密貨幣市場情緒波動率
SuperMind

This Chinese-language post presents an A-share screening rule that combines a 14-period RSI below 65, a ratio of outside-market to inside-market trading above 1.3, and a volume ratio between 1.5 and 6. It frames the order-flow ratio as a proxy for buying…

股票技術指標動能中國市場
Awesome Systematic Trading

This document describes an event-driven long strategy that combines corporate repurchase announcements with upcoming earnings dates. It screens US-listed stocks, excludes the smallest market-cap quartile, and looks for buyback announcements of at least 5% of…

股票事件驅動部位規模回測
SuperMind

This Chinese stock-selection strategy filters for an RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and prior-day turnover above 8%. The accompanying Python example calculates a 14-period RSI, applies the three…

股票技術指標統計中國市場
MQL5 code base

NDuet combines moving averages with a semaphore signal to guide trade timing. The two moving averages use different periods to define trend direction, while the semaphore indicator identifies a possible point to enter or settle a trade. The description says…

技術指標趨勢追蹤
BigQuant

This document summarizes a Chinese research report on measuring listed companies’ technological innovation capacity. It identifies factor construction and testing by industry as a central topic, alongside building an enhanced portfolio for a strategic…

中國市場股票因子投資
MQL5 code base

Super SAR combines Parabolic SAR direction changes with SuperTrend confirmation. Green or red arrows indicate a potential entry when SAR changes position and SuperTrend agrees. A gray arrow marks an SAR direction change without SuperTrend confirmation,…

技術指標趨勢追蹤波動率
MQL5 code base

This indicator summarizes trend direction across seven Blau stochastic indicators set to different timeframes. Each indicator is represented by a line whose color reflects whether its histogram is rising or falling: dark lime for growth and orange for…

技術指標動能