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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
Quantopian 講座
45 份文件
Binance API docs
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 Gann HiLo Activator is described as a trend indicator that plots a colored line based on a configurable period. It calculates simple moving averages of high and low prices. When the close rises above the average high, the direction switches upward; when…

技術指標趨勢追蹤股票期貨
MQL5 code base

Polarized Fractal Efficiency (PFE) is presented as an oscillator for identifying trend direction. Its configurable inputs are fast and slow rate-of-change periods, a moving-average period, and a scale factor. The calculation derives short- and long-horizon…

技術指標趨勢追蹤動能統計
SuperMind

This proposed A-share screen combines price amplitude above 1, a dividend payout ratio above 25% for 2019, and membership in a short-term “reverse package” theme, a term the article does not define. The accompanying discussion frames these conditions as a…

股票中國市場波動率市場情緒
SuperMind

This Chinese A-share screening proposal combines a metaverse industry classification with relative trading volume and company-sector filters. Its final stated rules require volume ratio above 1.5 and below 6, an internet or high-technology classification, a…

股票中國市場動能突破
MQL5 code base

This document explains insertion sort, a method that builds an ordered list one item at a time by inserting each new element into its proper position among those already processed. It highlights the algorithm’s stability, constant extra-memory use, and…

交易執行統計市場微結構
SuperMind

This note presents a Chinese equity screen focused on companies classified in the metaverse sector. Its stated final criteria require a volume ratio between 1.5 and 6, return on equity above 15% for three consecutive years, and market value below 500…

股票中國市場因子投資動能
SuperMind

This note describes a basic Chinese A-share stock screen. It selects stocks with turnover between 3% and 12%, excludes Beijing-listed A shares, and requires a positive price-to-earnings ratio. The accompanying explanation treats positive P/E as a basic…

股票中國市場因子投資
MQL5 code base

Weekly VWAP is described as the cumulative sum of price multiplied by volume divided by cumulative volume, reset at the start of each trading week. It is plotted as a single chart line and serves as a reference for the week’s volume-weighted average trading…

技術指標交易執行趨勢追蹤
MQL5 code base

Velocity_v2 is described as a momentum oscillator that applies triple averaging and includes a signal line. The averaging is used to filter the indicator’s direction, giving traders a smoothed view of momentum. The note identifies the indicator’s original…

動能技術指標
BigQuant

This short note introduces the Moving Average Convergence and Divergence indicator, or MACD, and specifies its inputs: closing prices and fast, slow, and comparison periods. It describes three calculated series. DIF is the difference between the fast and…

技術指標動能
BigQuant

This article describes four Chinese stock chart patterns that it interprets as possible signs of accumulation or a coming recovery: low-volume consolidation after a rise, low-volume decline near a high, a sharp drop followed by stabilization near a low, and…

股票中國市場技術指標
SuperMind

This screening rule selects Chinese stocks with turnover between 3% and 12% and year-over-year growth in net profit attributable to the parent company above 20% and up to 100%. It then ranks qualifying stocks by the day’s auction amount and chooses the first…

股票中國市場交易執行回測
SuperMind

This stock screen combines a turnover range of 3% to 12% with year-over-year growth in net profit attributable to the parent company above 20% and up to 100%. It also requires the KDJ K value to be rising, using a prior-period comparison. The article…

股票中國市場技術指標動能
SuperMind

This stock-screening proposal combines three conditions: at least five moving averages are said to converge, the close is intended to lie between the Bollinger middle and upper bands, and the 30-day moving average should be rising. The post presents the…

股票中國市場技術指標趨勢追蹤
backtrader

This proposed stock screen combines daily price movement, a morning star candlestick setup, and market activity. It first calls for amplitude above 1, then identifies a morning star pattern and sorts qualifying shares by perceived popularity. The…

股票中國市場技術指標市場情緒
SuperMind

This Backtrader example pairs a simple moving average crossover strategy with two sizing approaches. The strategy buys when price crosses above a 15-period simple moving average and sells when it crosses below. A long-only sizer submits a fixed stake for…

股票技術指標部位規模回測
SuperMind

This A-share screen selects stocks with amplitude above 1, ranks them by today’s auction trading value, keeps the top five, and requires circulating market capitalization above 10 billion yuan. The post frames the filters as a way to find volatile, actively…

股票中國市場技術指標
MQL5 code base

This chart indicator marks recurring intraday time points with vertical lines, using separate configurable colors, line styles, widths, and optional background shading. Its inputs define daily lines and three named time references, identified in the document…

技術指標交易執行市場微結構
SuperMind

This stock-selection rule screens for shares with a 14-period RSI below 65, positive prior main-fund-flow data, and an indicated gain below 6% at 9:25. The accompanying discussion presents the conditions as a way to avoid stocks that appear too active at the…

股票技術指標中國市場
BigQuant

This research overview introduces six broad model families used in investment work: neural, graphical, clustering and encoding, linear, tree-based, and ensemble methods. It describes their general strengths, such as nonlinear function fitting, relationship…

機器學習統計投資組合建構
SuperMind

This post describes a Chinese stock selection screen combining price amplitude, a measure labeled today’s control, and a recent large daily gain. Its written logic adds a free-float market capitalization floor. The article also provides example formulas for…

股票中國市場技術指標風險管理
MQL5 code base

The indicator combines several moving averages by comparing the fastest selected average with the others and using the resulting differences to represent trend. The user can choose periods and arrange them in any order; the indicator handles their ordering.…

技術指標趨勢追蹤
BigQuant

The post introduces machine learning as an increasingly used approach in quantitative investing. It describes two applications: forecasting market movements and selecting portfolios. It also points to potential benefits, including handling nonlinear…

機器學習投資組合建構