If that's your equity curve I wouldn't advise trading it as is, but that's without knowing any context. Your algo should have a signficant alpha value or otherwise low beta for there to be a point in trading it, and above all a decent Sharpe ratio and low max drawdown. Notice that your equity curve seems to do well a while, then drop off - it's quite typical because many algorithms that used to work years back don't work as of 2017. That said, you might be able to make it smarter.
An easy test is to make random entries and/or exits at the same rate your supposed "smart algo" is making them. If your algo isn't better than randomness, there's no functional difference.
The "proper way" would be to do statistical hypothesis testing but my skills in that area are lacking.
Maybe not related, but worth mentioning: Beware that equity markets have an upward bias over time and a long only algo will have same bias. And, if you're selecting stocks based on membership of some index in 2017 you'll also suffer survivorship bias.