Darwinia: the trading challenge for trading skill
But finding consistent trading strategies to invest in is not easy. At Darwinex, we have developed proprietary algorithms that allow us to measure how attractive a given strategy is from an investor’s point of view.
Obviously, savvy investors don’t back losers… so how to find the winning needle in the random haystack? Introducing DarwinIA, the trading Challenge for traders committed to financial evolution.
It’s called DarwinIA for two reasons. The first is because of the darwinian selection it achieves: lucky returns count for nothing, so only the fittest shine. The second is because of how it’s done – by scanning for Investable Attributes (IA), skills that tell which trading strategies are worth investors’ capital.
That’s the secret. Like other Challenges, it tracks what returns were. Unlike others, DarwinIA answers HOW returns come about, by scanning every strategy for 6 core Investable Attributes that prove skill:
- Experience: where returns sustained for long enough to rule out luck?
- Discipline: does the strategy follow a pattern, deploying S/L and T/P?
- Risk Management: is there trade and strategy level risk management?
- Timing: if the strategy opened/closed trades slightly earlier/later would it make more/less?
- Performance: does it beat random strategies with comparable risk?
- Scalability: would returns scale if the strategy managed millions, instead of thousands of dollars?
What’s in it for investors? Do you know lucky monkeys capable of passing those filter AND winning at the same time? Wouldn’t you back strategies that win by proving the above Investable Attributes?
What’s in it for investable traders? Visibility! The Leaderboard ranks by investor-worthiness, and it’s credible because 1) as a 100% STP venue – we gain nothing by attracting investors to non-winners, and 2) we’re independent from the traders we advertise.
Last, but not least… what’s in it for YOU? If you’re committed to trading, DarwinIA diagnoses your progress, benchmarking you against others also trading for a purpose: seeding the skills that deliver long-term performance.