Apr 21, 2022
No image
Completed
Tool for increasing Customer Lifetime Value of the Crypto & Forex trading platform
$25,000+
2-3 months
Australia, Canberra
2-5
Service categories
Service Lines
Software Development
Ecommerce
Domain focus
Banking & Financial Services
Programming language
JavaScript
Python
Frameworks
React.js
Challenge
Many traders lose interest and take a break when facing a failure. Our client was looking for ways of improving customer engagement and lifetime value on their platform. It was decided to add a forecasting tool that checks a trader’s strategy for vulnerability.
Many traders lose interest and take a break when facing a failure. Our client was looking for ways of improving customer engagement and lifetime value on their platform. It was decided to add a forecasting tool that checks a trader’s strategy for vulnerability.
Solution
The forecasting tool has been implemented as a widget in the user profile and works as a trades simulator. The user can set certain parameters:
• timeframe;
• deposit;
• number of trades;
• average take profit;
• average stop loss;
Based on the parameters, they get a forecast chart, an estimated probability of failure and suggested ways to reach the target sharp ratio.
For building this tool we’ve collected a lot of data and created a robust model. Our team has gathered and analyzed a large number of trading strategies as well as markets in which they are applied. We used statistics and methods for the financial modelling process.
The forecasting tool has been implemented as a widget in the user profile and works as a trades simulator. The user can set certain parameters:
• timeframe;
• deposit;
• number of trades;
• average take profit;
• average stop loss;
Based on the parameters, they get a forecast chart, an estimated probability of failure and suggested ways to reach the target sharp ratio.
For building this tool we’ve collected a lot of data and created a robust model. Our team has gathered and analyzed a large number of trading strategies as well as markets in which they are applied. We used statistics and methods for the financial modelling process.
Results
We’ve created the tool which checks trading strategies for vulnerability. It helps the exchange predict how soon a client will leave the platform with such a trading approach to show the way to improve trading strategy.
Our client’s team used our solution for data visualization and fast-testing hypothesis in the space of an alpha generation. The platform is currently integrated into a bigger industry giant, which brings incredible results.
We’ve created the tool which checks trading strategies for vulnerability. It helps the exchange predict how soon a client will leave the platform with such a trading approach to show the way to improve trading strategy.
Our client’s team used our solution for data visualization and fast-testing hypothesis in the space of an alpha generation. The platform is currently integrated into a bigger industry giant, which brings incredible results.