For the past couple of weeks, I’ve been testing different binary options trading strategies on a demo account first, without rushing. I looked at simple level-based approaches and tried adding moving averages, but the results have been rather inconsistent: the signals look fine in the morning, while closer to the evening some of the entries are no longer convincing at all. I noticed this especially with short-term trades lasting 1–5 minutes, where a single sharp spike can easily disrupt the whole picture.
Now I’m wondering whether the issue lies less in the strategy itself and more in the filters and choice of trading time. I’m also interested in comparing manual trading with robots: an algorithm doesn’t seem to get nervous, but if you program a weak rule into it, it will simply repeat the same mistake over and over. Has anyone actually tested these approaches on historical data for a long time and then compared the results with demo trading? Which filters turned out to be useful for you, and which only added unnecessary noise?
Now I’m wondering whether the issue lies less in the strategy itself and more in the filters and choice of trading time. I’m also interested in comparing manual trading with robots: an algorithm doesn’t seem to get nervous, but if you program a weak rule into it, it will simply repeat the same mistake over and over. Has anyone actually tested these approaches on historical data for a long time and then compared the results with demo trading? Which filters turned out to be useful for you, and which only added unnecessary noise?