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But 25% win rate opens you to large drawdowns, many consecutive losers, etc. Not a good idea.

My recommendation is to avoid the heads and shoulders pattern. It is no more than noise.

I agree as far as black boxes and other software that claims to develop complete algos to trade. But if you buy software to help you with system development and put your own effort and time to get the final result you can end up with something good.

Read this. This is an academic paper than shows how the results of multiple tests must be adjusted to account for data-mining bias. In essence the data-mining bias is too large.

Why do you think low volatility is bad?

Does it have to be flying?

Nobody pays attention to analysts.

Excellent analysis yesterday in Price Action Lab blog that explains how investors get fooled by applying Bayesian thinking. Good read.

To be taken seriously by institutions you must trade > 50M and have 5 years of record.

Good point by bone.

Trading without a stop is worse than gambling. It may need to be wide enough though...

I found this in the Price Action Lab Blog that sounds interesting but there are not enough details. Could this lead to a working system? It sounds interesting in principle but also a dubious concept.

The FED cannot go broke because it has a monopoly to provide currency. But inflation can rise if it prints too much but up to now this is not a problem.

Without getting into details, past returns are used to train a neural network to estimate future returns, N days ahead. This is basically curve-fitting and one reason the popularity of this method fainted after it was tried a few decades ago. If market conditions remain the same the NN...

Read this first and realize that if you use GA to combine trading rules the strategy you find must be significant at (t-test of strategy/# of combinations tried), i.e. it will never be significant for all practical purposes. IMO the best way is to come up with an abstract hypothesis and backtest...

if time = hh:mm then exit:)

Stock data is not Big Data unless you use fundamental information too. Dark forces in Wall Street? Impossible. Data mining? This is a good read that provides an idea of what some people do. Here is another good article by Jonathan Kinlay. Note that are many pitfalls in these approaches.

google.com finance. You can use Amiquote from Amibroker I think.

Yeah, they compete who is going to give their money to fx brokers first...:)