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.
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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.
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Bollinger Bands Strategy: Origins, Signals, Python and Excel
Get to grips with the Bollinger Bands strategy for trading. Explore its history, understanding, Python and Excel implementations, and response to market volatility.
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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.
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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.
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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.
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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.
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On Balance Volume (OBV) and its Application in Trading
Explore the On Balance Volume (OBV) indicator and OBV divergence in trading. Learn its origins, structure, applications, and how to chart it using Python.
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Trading Moving Linear Regression R Squared (MLRR2) Explained with Python
Learn how to implement and interpret the Moving Linear Regression R Squared (MLRR2) indicator in Python for trading. This post also explains how to use MLRR2 with the Congestion Count indicator.
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An In-Depth Look at the Moving Linear Regression Indicator
Explore the Moving Linear Regression Indicator: a powerful tool that tracks market trends using the least squares technique. Understand its mathematical framework, implementation in Python, and practical trading applications.
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FX Derivatives: A Detailed Guide on Different Types of FX Derivatives
Check out our guide on FX derivatives, looking at the different types such as forward contracts, futures contracts, options, swaps, and CFDs. Understand their use cases, associated risks, and how to trade them.
Recent Posts
- UK Inflation Climbs to 3.2% in October: Energy Costs Spark a Reversal
- UK Inflation Dips to 2.6% in September: A Temporary Relief Driven by Falling Oil Prices
- FMX Futures Exchange: A New Era for U.S. Treasury Futures Trading
- The Bank of England’s Bond Sale Strategy: Assessing the Impact on Liquidity and Money Markets
- Revolutionizing Financial Analysis: GPT-4 Outperforms Human Analysts
Categories
- CFD Trading 4
- Editors Pick 12
- Futures Trading 2
- FX Trading 2
- Strategy 41