Edward Allington
About the Author
Edward Allington has been a professional sovereign debt derivatives prop trader since 2002. His career began on the trading floors of Mac Futures, Refco, and Marex in London, and later at Mantis Capital in Dubai. He has held the position of CEO at a trading floor established by the Dubai government, and as COO, he trained traders at a boutique fund in Singapore. He also served as CRO for a royalty backed private equity firm. Edward is CFA certified in ESG, a CISI certified International Compliance Officer, and holds a BSc(Hons)Edin. and an LLM in International Finance and Banking Law.
-
Kalman Filter Python Techniques for Advanced Trading Analysis
Harness the power of the Kalman Filter in Python for cutting-edge trading analysis. Discover its significance in time series and start with practical Python samples.
-
Mastering the Intraday Momentum Index (IMI): A Trader’s Guide
Unlock the Intraday Momentum Index, its origins, mathematical construction, purpose, and discover how to use it for effective trading. Learn to code it in Python and R with our detailed guide.
-
Sky’s the Limit: Ichimoku Cloud Strategy for Successful Trading
Launch up into the world of Ichimoku Kinko Hyo, a leading technical analysis tool. Discover the intricacies of the Ichimoku Cloud strategy, its history, practical trading insights, and coding methods. Elevate your market trend analysis prowess effortlessly.
-
Characteristics of the Commodity Channel Index (CCI) Strategy
From Donald R. Lambert’s innovative vision to its modern-day applications – get acquainted with the Commodity Channel Index (CCI). Learn to code it in Python, R, and MATLAB and harness its potential for sharper trading strategies.
-
Moving Average Envelope: A Deep Dive into its Mechanics and Use in Trading
Discover the mechanics and applications of the moving average envelope in trading. This guide covers mathematical construction, interpretation, coding in Python and R, and practical trading strategies.
-
The ADX Indicator: Strategy, Formula, Python & Day Trading
Learn how the ADX Indicator Strategy measures market trend strength. Our guide details breakout signals, trend exhaustion, and acceleration for both beginners and experienced traders.
-
How To Use The Average True Range (ATR) Indicator
Explore the Average True Range (ATR), essential for traders. Learn how it gauges market shifts, aids in setting stop-loss levels, coding it, and why fundamentals are key for trading it effectively.
-
The Keltner Channel Guide: Strategies, Comparisons, and Coding Tips
Learn about Keltner Channels in this guide covering origins, strategies, comparisons with Bollinger Bands, and coding tips. Understand this valuable tool for market analysis, with insights on trading signals and Python implementation.
-
Unlocking Trading Success with the Klinger Volume Oscillator
Understand the Klinger Volume Oscillator (KVO), a vital trading tool that combines volume and price data. This guide covers the origins, mathematical construction, usage, pros and cons of the KVO, and provides a Python code example to implement it.
-
Mastering the MACD Indicator and MACD Divergence
Examine the MACD indicator and its powerful application in trading through MACD divergence. Identify trend reversals, calculate the MACD line and histogram, implement a MACD strategy and code it in Python.
Recent Posts
- Gold, Stocks, or Property? The 20 & 25-Year Showdown for Investment Supremacy
- Bollinger Bands Strategy: Origins, Signals, Python and Excel
- How to Identify Candlestick Patterns with Python
- Fundamental vs Technical Analysis use in Trading
- The History and Evolution of CFD Trading: Past, Present, and Future
Categories
- CFD Trading 4
- Editors Pick 12
- Futures Trading 2
- FX Trading 2
- Strategy 41