Entropy is a numerical measure in communication theory. It is a indication as to the amount of noise that you can find in a data serie.
When designing a systematic trading approach, it is interesting to have an idea of the "randomness" of your market, this later on helps you determine whether some of your parameters may be over-fitted, under-fitted or within a safe zone.
A good starting paper:
http://astarte.csustan.edu/~tom/SFI-CSSS/info-theory/info-lec.pdf
In financial market data, as opposed to many other data serie, you will find a very high entropy - or a very high amount of "noise", "randomness".
Randomness limits your capacity to generate absolute performance. Some quants are better than others, but you will always have a limit to generating performance due to the noise of the market. For having designed and managed a lot of systems, using both simple processes and complicated optimization processes, for continually discussing with other quants who manage real money and do real research; I can tell you with certainty that your equity curve, with your average trade profit in tick, is not possible in any futures market.
If you had a bit more volatility in your equity curve, there could be a "maybe" discussion but don't be fool and believe that hedge funds hire only dumb quants and that it would be the reason why nobody has a sharpe ratio higher than 1 over ten years... make it 1.5-1.7 for smaller funds.
You will never find anyone with experience and real money to back you with those numbers but I encourage you to trade it live for a while as
@fordewind says and we should discuss this again in 6-18 months.