Can individual traders really compete with large institutions?
This post is the first of a four-part “Serious Algorithmic Trading” series, introduced here.
A trader will at one point or another, question how practical it is to compete with large institutions in the same markets.
After all, it is “big money” at the end of the day that…
In this post, we describe the main features and behaviours of overfit trading strategies, and the risks they pose to both traders and DARWIN investors.
Overfit trading strategies typically perform well in backtesting environments, creating the illusion that they exploit the market inefficiency being targeted, really well.
However, when deployed in a live trading environment, their performance…
MetaTrader backtesting can be tricky business for algorithmic traders. Follow these best practices to engineer robust, reliable trading strategies.
Watch the full video tutorial here (36 minutes).
Simulating a strategy's historical performance correctly, increases the probability of it generalizing well to unseen market data in future.
As such, it's important that all backtesting be conducted robustly, careful…
2022 was a challenging year for stock markets. In a year where the S&P 500 accumulated a loss of almost 19%, the Top 3 Investable Indices (DARWINs) in Darwinex achieved annual gross returns of between 7% and 37%.
As of 7 December 2022:
- The DARWIN JTL accumulated an annual return of 33.28%.…
This post on commercial expert advisors (also referred to in short, as EAs) is the first of an EA Series we're embarking upon. Today we shed light on some of the main advantages and disadvantages of the same to traders. The intention here is not to tag commercial expert advisors as either good or bad, but…
Want to know more about the traders behind $LVS? Read on!
Fellow trader CavaliereVerde is by far the most active user on our website and our Community Forum. Since he signed up back in 2015, he has visited our site more than 5000 times... Impressive!
On top of being an active user on our site, CavaliereVerde is a good trader, too: his DARWINS $KVL and $LSC have both…
In a previous post - Quantitative Modeling for Algorithmic Traders - we discussed the importance of Expectation, Variance, Standard Deviation, Covariance and Correlation.
In this post we'll discuss how those concepts can be applied to DARWIN assets.
As a practical example, we will employ a series of statistical tests to assess if DARWIN $DWC is a Mean…
KlondikeFX has been a trader with us since the start. In this interview, we get to know more about him and his trading style. As the winner of our first ever DarwinIA trading challenge he's proven that he knows what it takes to be a longer term profitable trader.
So, tell us a little about yourself.…
We've had the pleasure of interviewing Positivebit, the trader behind DARWIN TKT, TTK and BKP.
$TKT maintained a D-score over 70 from the Summer of 2017 until October 2018 while $TTK won a DarwinIA allocation of 80,000.00 in September 2018.
Positivebit, tell us a little about yourself. How did you get started and how long…