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Quants are the math wizards and computer programmers in the engine room of our global financial system who designed the financial products that almost crashed Wall st. The credit crunch has shown how the global financial system has become increasingly dependent on mathematical models trying to quantify human (economic) behaviour. Now the quants are at the heart of yet another technological revolution in finance: trading at the speed of light.
What are the risks of treating the economy and its markets as a complex machine? Will we be able to keep control of this model-based financial system, or have we created a monster?
A story about greed, fear and randomness from the insides of Wall Street.
LOL well I think you just confirmed what I said, if the TA as you put it is based on qualitative data then in my eyes the TA is a form of Quant and stick to my statement. But in reality I see your response as the same as I'm indicating.
I see quantitative trading as a branch of TA, but not all TA is quantitative. TA is often more descriptive than measurable, hence it is qualitative rather than quantitative. It is often based on vague terms like overbought/sold, trend, chop, etc... Most cannot quantify these terms, at least not in real-time -- which is when it counts.
Quote: I see quantitative trading as a branch of TA, but not all TA is quantitative. TA is often more descriptive than measurable, hence it is qualitative rather than quantitative. It is often based on vague terms like overbought/sold, trend, chop, etc... Most cannot quantify these terms, at least not in real-time -- which is when it counts.
over sold and over bought are not a form of TA's.
I disagree with you on your TA is a descriptive measurable as most if not all are created from some sort of historic data.
I'm not looking to argue, I think we agree on some level. I use "quantitative TA", as it were. However, I often see folks referring to overbought/sold conditions on RSI and similar, but not being able to further quantify it. If you look at most posts on the forum, the majority is speaking in relative terms and use a fair deal of subjectivity in their analysis. The data they extract is often qualitative, not quantitative. That the data they are analyzing is quantitative in its original form, does not mean that the observations are quantitative as well.
I am not saying that this necessarily is bad; the majority of my trading is discretionary. But I would find it false to label most TA as quantitative analysis.
