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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
Quantpedia
86 份文件
TqSdk
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

BigQuant

The document explains turnover as the number of shares traded during a period divided by the average number of shares available to trade, expressed as a percentage. It illustrates the calculation with a quarterly example in which traded volume is twice the…

股票統計交易執行市場微結構
ProRealCode

The Waddah Attar Explosion indicator combines the change in MACD with Bollinger Band width to represent directional momentum and volatility expansion. The MACD change is multiplied by a sensitivity coefficient and split into positive and negative histograms.…

外匯技術指標動能波動率
BigQuant

The document describes a China A-share index enhancement approach that adds industry rotation to a CSI 300 stock-selection portfolio. Its motivation is that the benchmark has uneven industry weights, making active industry exposure a meaningful part of…

中國市場股票因子投資投資組合建構
BigQuant

This research summary extends a framework for selecting functional equity funds for fund-of-funds portfolios. It distinguishes sectors where active stock selection may add value from those better served by sector ETFs. For consumer and growth exposures, it…

股票因子投資投資組合建構風險管理
MQL5 code base

This page describes a higher-timeframe variant of the UltraAbsolutelyNoLagLwma indicator. It adds a timeframe input so the user can select the chart period from which the indicator operates; the provided default is a four-hour period. This lets a trader view…

技術指標期貨
SuperMind

This page introduces a lesson on using correlation coefficients to identify stock candidates for pairs trading and then building a strategy to trade them. It frames correlation as a screening tool for finding potentially suitable arbitrage pairs, followed by…

股票配對交易套利統計
SuperMind

This post presents a Chinese equity screen for main-board stocks. It selects shares with turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and up to 100%, and a daily price gain above 1%.…

股票動能因子投資中國市場
SuperMind

This Chinese-language post describes an equity screen using three conditions: price amplitude above 1%, a ten-day gain greater than zero but below 35%, and a positive institutional-flow measure. It explains these filters as seeking stocks with some recent…

股票動能技術指標中國市場
FMZ forum

The document outlines three broad stages in the development of commodity trading adviser strategies. It attributes early CTA success in the 1960s and 1970s to persistent commodity trends associated with economic growth, inflation, and oil-market shocks.…

期貨大宗商品趨勢追蹤均值回歸
FMZ forum

This brief trading-platform example shows how to use an IO function to submit a BitMEX post-only limit order, submit several such orders together through the bulk endpoint, and cancel all orders for a specified symbol. The examples use XBTUSD and set an…

加密貨幣交易執行市場微結構
SuperMind

This note proposes a short-term stock screen based on daily amplitude above 1, a condition described as main-force control on the prior day, and a 9:25 a.m. gain below 6%. It interprets the range as a sign of active price movement, the control measure as an…

股票波動率技術指標風險管理
SuperMind

This Chinese-language strategy note describes a stock screen combining RSI below 65, the product of price change and large-order net inflow, and bullish crossovers in three indicators, with MACD, KDJ, and DMA as examples. Its sample implementation also…

股票技術指標動能
SuperMind

This document presents a Chinese equity screening rule that selects stocks with daily turnover between 3% and 12%, parent-company net profit growth between greater than 20% and up to 100%, and tradable shares capped at 5.5 billion. It describes the…

股票因子投資中國市場統計
ProRealCode

ASCTrend is a chart indicator that uses Williams Percent Range to generate buy and sell arrows. Its RISK setting controls the indicator period and shifts the thresholds used to identify signals. A signal is produced when the indicator moves from an…

技術指標期貨外匯
Zipline

This documentation explains how Zipline organizes risk and performance measurements for algorithm simulations. A metrics set defines which values a backtest tracks, and its metrics can report at different frequencies. The default set includes examples such…

回測風險管理統計
Amberdata research

The document describes two risks institutions may encounter in decentralized finance: scam tokens, especially liquidity-draining rug pulls, and crypto assets connected to illicit activity. It argues that blockchain data can support token due diligence by…

加密貨幣去中心化金融鏈上資料風險管理
SuperMind

This Chinese stock-screening note combines daily price movement, a morning-star style candlestick condition, and a ranking based on large-order net volume. Its example code also checks recent moving averages and requires the latest large-order net amount to…

中國市場股票技術指標市場微結構
MQL5 code base

This indicator note explains a short-term trading idea based on alternating periods of small and large price ranges. Range is treated as the distance traveled over a chosen interval, and a narrow range is described as a possible warning that a wider move may…

技術指標波動率動能風險管理
SuperMind

This stock-selection method filters for shares with turnover between 3% and 12%, a rising K value in the KDJ indicator, and a 2019 dividend measure above a stated threshold. The note presents the combination as a way to pair trading activity and improving…

中國市場股票技術指標動能
SuperMind

This Chinese stock-screening note combines three filters: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a three-session limit-up streak ending the previous day. It presents the screen as a way to…

中國市場股票動能突破
MQL5 code base

V1N1 LONNY is described as a multi-symbol intraday Expert Advisor that trades breakouts during the London session. It treats the pre-London Asian range as a no-trade zone, placing buy stops above the range high and sell stops below its low. Entries use the…

外匯突破技術指標風險管理
SuperMind

This Chinese-market stock screen combines a metaverse industry filter with Shenzhen main-board eligibility, valuation bounds, and a recent KDJ bullish crossover. It selects stocks with price-to-earnings ratios from 0 to 29.01 and price-to-book ratios from 0…

股票中國市場技術指標動能
MQL5 code base

Adaptive Volatility Analysis (AVA) is an indicator intended to measure whether market volatility is increasing or easing. It compares a short-period exponential moving average of ATR with a longer-period exponential moving average, producing a relative…

波動率技術指標統計