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;

target sharp ratio.

Results obtained

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.
screenshots

Duration:

3 month

Country:

Australia, Estonia

Launch date:

2019

JavaScript

Python libs

NumPy

Pandas

Plotly

Matplotlib

React

Next.js

Techstack:

Business 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.

ViableTrade is a crypto and forex trading platform. Its main purpose is to facilitate the trading of cryptocurrencies for other assets, including digital and fiat currencies.

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.

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