Online trading is exhilarating and fast-paced. You need to follow endless markets, indices, and stocks, and be able to map and understand the connections, implications, and meaning of it all. This keeps traders extremely busy in staying up to date on changes and trends while trying to make smart decisions in the process.
This is why today’s traders are constantly on the lookout for tools that will help them automate and simplify their trading – from finding trade opportunities to assessing the state of the market, execute transactions, calculate risk, and more.
There are many tools out there, but the problem is that many of them require traders to possess quite the advanced technical skills, coding, algorithm development, etc.
That’s where Capitalise.ai comes into play. We are all about making online trading more accessible to wider audiences. Our automated trading platform enables traders, even those without any technical skills (coding, algorithms, remember?) to enjoy the benefits of automated trading. Our unique technology lets traders use simple text to translate their thoughts into trading strategies even if they’re not tech wizards.
We designed many features, all aimed at providing smart, automated, and easy-to-understand trading.
If you don’t know us yet, you must be quite intrigued by now. But before you go ahead and start playing around with our platform, we want to make sure you get acquainted with our latest and greatest feature: backtest.
Introducing Capitalise.ai’s Backtest
Until today, you could envision a strategy, create it on our platform (using freestyle text) by specifying entry and exit points, decide whether you want it to run as a looped or one-time strategy, and run it in either simulation or live mode. The current simulation model allows you to simulate your strategy on data from the date it was created onwards, providing visibility into expected results. But how great would it be to validate your strategy based on past data, to understand its real potential of success?
Well, now you can! We are proud to introduce our backtest feature, which brings a real revolution to automated online trading.
Traders can now retrospectively simulate their strategy on past data and get a clear answer to the ‘what-if’ question – what would have happened had you gone live with your strategy months ago? Looking at results based on real events, as they occurred in the past months – Now that’s powerful!
In the modern world, our attention span has gotten significantly shorter, and now, you no longer need to wait for data to accumulate to understand the success potential of your strategy. Data from the past months is already there, events had already happened, and you can get an immediate simulation of your strategy’s potential based on this historical data. You can try any scenario you can think of, be creative, and make any speculation you want, backtest it, and see what would have happened had you traded that strategy.
Having said that, it’s important to understand that backtesting your strategy is still not the same as trading in real-time, and some assumptions are still being made. To read about how the backtest feature works behind the scenes, read this article
I am a broker, what’s in it for me?
Well, if you are a broker, I’m sure you want to get your traders to fall in love with you and refuse to trade anywhere else, right?
We hear you, and we are all about helping you empower your traders through innovative, advanced trading experience. The more sophisticated (yet simple) tools and features you provide them with, the more engaged they will be, the more adamant ambassadors they will become.
In short, work with us to wow your traders:
- No need for technical skills? Check!
- Simulate strategies based on historical data? Check!
- Access numerous data points for smarter decision making? Check!
- Automatic entry and exit of strategies? Check!
- Looping strategies for further success? Check!
And the list goes on…
Capitalise.ai’s back-testing feature simulates a trading strategy and analyzes the results based on historical data, generating a hypothetical trade. These hypothetical trades present certain performance metrics such as hypothetical profit/loss, winning and losing streaks, and more. Results of all backtesting are hypothetical and do not guarantee future performance, returns, or data accuracy. The results of all backtesting-based trades are subject to limitations like rounding off, memory buffer limitations, user’s browser, system limitations, data availability, accurate data, etc., and do not represent actual trading.