Monday 4 November 2013
Friday 1 November 2013
Friday 25 October 2013
Monday 14 October 2013
Data Mining and Cookie Butter
There is much buzz about the next revolution in technology and the coming innovations that will shape the 21st Century. Those welcoming this change espouse that our lives will be improved and the world will be far better because of this Technological Revolution. And maybe they're right, I know I could definitely use a self-driving vehicle to ease the commute while I sleep in a little longer.
At the heart of innovation is Data known also as Information. Data creates the foundation for all of technology to make decisions. Simply put, data is essential to the growth of technology.
Data and its conduit computer programs are like humans. They require instructions to understand their world. And a clear set of instructions is valuable stuff.
Read: Trader Joe's Crunchy Cookie Butter - instructions include: "Spread on pancakes or waffles. Peanut butter & cookie butter sandwiches. Serve on ice cream. Dip pretzels or celery. Do not refrigerate."
Sounds simple, but instructions that clearly state the obvious are essential to universal understanding. They provide a guideline - a structure for interaction. It helps to shape and mould our concept of what's possible by the simple act of rules being created. Mind you these are not limitations and you are welcome to colour outside the lines. Perhaps I'll make a Cookie Butter Smoothie later, who knows.
When we apply this same principle to Data and Computers we have information that forms a set of 'possibilities' that tell us what can happen. It's a constantly changing rule-set that when provided with a feedback loop can modify and evolve its own understanding of 'what's possible.'
This is where Data Mining comes in and the associated fields of Data Science and Algorithmic Research. Behind human behaviour and economic activity there is an underlying pattern that can be understood, measured, and analyzed.
These patterns of activity are visible throughout the Universe. The evidence is in the way trees grow in a forest, how its branches are spaced, and the distance between each of its leaves. We understand it as the the 2 to 3 waist-to-hip ratio, and the Pythagorean Theorem.
Data is able to tell us what is possible if we understand how to formulate the right questions. And because knowledge is shaped by our analysis - a framework of instructions can be created. Coupled with a feedback mechanism to regulate its own understanding of the data, we have a computer program that is able to foresee what is possible while capable of managing its own reality.
Enter: piALGO
At the heart of innovation is Data known also as Information. Data creates the foundation for all of technology to make decisions. Simply put, data is essential to the growth of technology.
Data and its conduit computer programs are like humans. They require instructions to understand their world. And a clear set of instructions is valuable stuff.
Read: Trader Joe's Crunchy Cookie Butter - instructions include: "Spread on pancakes or waffles. Peanut butter & cookie butter sandwiches. Serve on ice cream. Dip pretzels or celery. Do not refrigerate."
Sounds simple, but instructions that clearly state the obvious are essential to universal understanding. They provide a guideline - a structure for interaction. It helps to shape and mould our concept of what's possible by the simple act of rules being created. Mind you these are not limitations and you are welcome to colour outside the lines. Perhaps I'll make a Cookie Butter Smoothie later, who knows.
When we apply this same principle to Data and Computers we have information that forms a set of 'possibilities' that tell us what can happen. It's a constantly changing rule-set that when provided with a feedback loop can modify and evolve its own understanding of 'what's possible.'
This is where Data Mining comes in and the associated fields of Data Science and Algorithmic Research. Behind human behaviour and economic activity there is an underlying pattern that can be understood, measured, and analyzed.
These patterns of activity are visible throughout the Universe. The evidence is in the way trees grow in a forest, how its branches are spaced, and the distance between each of its leaves. We understand it as the the 2 to 3 waist-to-hip ratio, and the Pythagorean Theorem.
Data is able to tell us what is possible if we understand how to formulate the right questions. And because knowledge is shaped by our analysis - a framework of instructions can be created. Coupled with a feedback mechanism to regulate its own understanding of the data, we have a computer program that is able to foresee what is possible while capable of managing its own reality.
Enter: piALGO
Thursday 8 August 2013
Sunday 21 July 2013
Tuesday 2 July 2013
Article: How Algorithms Rule the World. Really.
Continued from Article: How Algorithms Rule the World
"...The reason why there is no popular outrage about Wall Street being run by algorithms is because most people don't yet know or understand it."
[But Steiner says] We should welcome their use when they are used appropriately to aid and speed our lives. "Retail algorithms don't scare me," he says. "I find it useful when Amazon tells me what I might like. In the US, we know we will not have enough GP doctors in 15 years, as not enough are being trained. But algorithms can replace many of their tasks. Pharmacists are already seeing some of their prescribing tasks replaced by algorithms. Algorithms might actually start to create new, mundane jobs for humans. For example, algorithms will still need a human to collect blood and urine samples for them to analyse."
There can be a fine line, though, between "good" and "bad" algorithms, he adds: "I don't find the NSA revelations particularly scary. At the moment, they just hold the data. Even the best data scientists would struggle to know what to do with all that data. But it's the next step that we need to keep an eye on. They could really screw up someone's life with a false prediction about what they might be up to."
Wednesday 26 June 2013
Defining our Value Proposition
piALGO is bringing forward new technology for analyzing Big Data within the Capital Markets.
Built upon statistical and mathematical formulas, we have developed an Intuitive Engine of Algorithms that is capable of adapting and evolving to rapidly changing market conditions.
We provide a simple approach for the Financial Industry to leverage Quantitative Computing and Machine Learning Technology.
Latency is no longer an issue.
Who We Are
We are a group of Traders passionate about investing and trading in the Capital Markets. Our goal was to create a unified strategy that will no longer tie us down to a computer to take advantage of intraday trading opportunities.
Fast forward a couple years and piALGO was born. We have a scalable investment technology that is used by ourselves and private investors to maximize their portfolio returns.
What we do is innovate the current technologies available to provide a new generation of sustainable algorithms that adapt, predict, and evolve.
Fast forward a couple years and piALGO was born. We have a scalable investment technology that is used by ourselves and private investors to maximize their portfolio returns.
What we do is innovate the current technologies available to provide a new generation of sustainable algorithms that adapt, predict, and evolve.
Thursday 20 June 2013
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