BMAMS
Meet BMAMS Strategist, Norm Hart
In Episode 8 of MARKET VIEWS, Peter Kristensen and Norm Hart, the strategist behind BMAMS lay out the fundamentals of investing in professionally managed foreign exchange programs.
Read MoreCautionary Tales of Poor Risk Management 5 – The Downfall of Amaranth Advisors: A Tale of Overexposure
Amaranth Advisors emerged on the financial scene in 2000, an ambitious venture led by seasoned investment manager Nicholas Maounis. Operating from Greenwich, Connecticut, Amaranth quickly rose in prominence thanks to its audacious and dynamic…
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Cautionary Tales of Poor Risk Management 4 – The 2015 Swiss Franc Shock
The Swiss franc, traditionally viewed as a “safe-haven” currency due to its stability and the strength of the Swiss economy, has long played a pivotal role in the global currency markets. Leading up to 2015, the Swiss National Bank (SNB) established a peg with the euro, fixing…
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Cautionary Tales of Poor Risk Management 3: Société Générale
Before we delve into the saga of Jérôme Kerviel, it’s important to understand the institution he was part of – Société Générale. Founded in 1864, Société Générale is one of the oldest banks in France and boasts a storied history.
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Cautionary Tales of Poor Risk Management – No.2 The Demise of Bearings Bank
Founded in 1762, Barings Bank was not just the oldest merchant bank in London but a beacon of prestige in the international financial sector. Its illustrious history and influential role in shaping global finance resonated across centuries and continents.
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Cautionary Tales of Poor Risk Management – No.1 The Collapse of LTCM
Long-Term Capital Management (LTCM) was founded in 1994 by John W. Meriwether, the former vice-chairman, and head of bond trading at Salomon Brothers. The hedge fund aimed to take advantage of pricing discrepancies in the bond market using highly sophisticated mathematical models.
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Data Mining Shapes the New Age of Trading
Data mining, a process that uncovers meaningful patterns and correlations within large databases, has become an indispensable tool in the trading arena. It holds numerous advantages over traditional manual trading, revolutionizing the way traders operate.
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Navigating Market Uncertainties Through Probabilistic Thinking
Probabilistic thinking is a critical cognitive tool derived from probability science. It is, at its core, a mental framework that allows us to deal with the inherent uncertainties of life…
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The Minimax Mindset for Conquering a Sophisticated Market
In the highly competitive world of financial markets, traders are continually searching for effective strategies to gain an edge and achieve long-term success.
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Balanced Multi Asset Mathematical Strategy – April 2023
The latest performance updates for Balanced Multi Asset Mathematical Strategy (BMAMS), that uses cold hard mathematics to view the market in an alternative light. Opinion is replaced by statistics. Trading is conducted in clearly defined conditions under strict parameters. Numbers have no emotions.
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Overcoming the Limits of Inductive Reasoning – The acceptance of Antifragility
To reduce the risks associated with inductive reasoning and better navigate the volatile dynamics of financial markets, traders must accept the markets’ inherent uncertainty and use caution when analysing historical patterns and trends
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Beyond Guesswork – Examining the Impact of Inductive Reasoning
Traders and investors often rely on historical patterns and trends to guide their decision-making process in their pursuit of financial success. They hope to predict future market outcomes and capitalise on opportunities by analysing past market behaviour.
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Survivorship Bias – No One Remembers the Losers
It is easy to be swayed by stories of those who appear to have mastered the art of trading, generating impressive returns and thriving in the face of adversity, when it comes to understanding success in the financial markets.
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Are you skilled at trading, or just lucky?
Cognitive biases such as confirmation bias and availability bias can have a significant impact on trading decision-making. These biases can cloud our judgement and distort our perception of reality, causing us to make poor decisions.
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bMAMS: Mimicking Nature – The Evolutionary Leap in Algorithmic Trading
When we think of the African jungle, we imagine a lush and diverse ecosystem, where species thrive through the natural selection process. Surprisingly, the same principle applies to evolutionary machine learning in trading
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bMAMS: Managed Account Service: Mastering the Art of Risk Management in Today’s Risky Markets
Risk management is one of the most critical elements of successful trading system development, yet it is often overlooked or misunderstood. At its core, risk management is the art of balancing risk and reward, protecting funds from market volatility while maximizing profits.
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SVB Collapse Sparks Investor Anxiety: Protect Your Investments with bMAMS
WARNING: The recent demise of Silicon Valley Bank, a dominant force in the technology financing sphere, has sent shockwaves throughout the investment community, triggering a sense of apprehension regarding the potential for market instability and losses. The bank’s abrupt downfall has laid bare the vulnerability of the banking sector.
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bMAMS: How Data and Math Make Investing Safer and More Successful
Unleashing the Power of Algorithmic Trading: How Data and Math Make Investing Safer and More Successful. In recent years, algorithmic trading has emerged as a dominant force in financial markets, attracting interest from investors and traders alike. One of the key reasons for its popularity is the safety and reduced risk it offers compared to manual human trading.
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bMAMS: Advantages of letting machines do the work
In the realm of financial markets, an undeniable trend has emerged – an inexorable shift towards the use of data mining for trading strategies. This is no mere fad, but a bona fide revolution in the way trading is done.
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bMAMS: Using maths to make your funds safer – changing the charts
The future will reflect the past- but it won’t be the same as the past. By manipulating and changing the actual bar chart data of an instrument we can test how a system will go on a similar, but different version of history- an effort to make the past simulate the future.
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