Summary

FPC supported Kiosk Finance in launching their news trading application. This project led FPC to develop a high-performance web application, automated trading AI models, and even automated digital communication tools. These solutions were built to meet high-performance requirements. The success of this collaboration allowed FPC to once again demonstrate its expertise in creating sophisticated solutions based on cutting-edge technologies.

Introduction

News trading in cryptocurrencies relies on the ability to capitalize on price movements triggered by announcements. For example, positive news can rapidly increase the price of a cryptocurrency. In this context, every second counts: being the first to react to news is crucial for performance.

Kiosk Finance wanted to launch an application that aggregates real-time news from multiple sources, such as social media, blogs, and government websites. The goal was to enable users to quickly take positions, either buying or selling, through an intuitive interface.

In addition to news aggregation, Kiosk Finance sought to integrate artificial intelligence to provide indicators on the potential impact of news, pre-select news likely to significantly affect the markets, and even include automated trading bots to execute orders autonomously.

The Solution

Landing page :

FPC designed a communication page showcasing the application, highlighting its key features and facilitating user acquisition.

News Feed Application:

The application aggregates real-time news from various sources (social media, blogs, government sites, etc.). Users can not only follow the news but also directly take buying or selling positions and manage their positions in real-time through an intuitive interface.

AI Indicators:

A set of AI indicators was integrated to quickly extract the main information from news and determine whether the news is perceived positively or negatively by the market.

AI Trading Model:

An in-house AI model was developed to automatically select the most impactful news, allowing Kiosk Finance to leverage this information to optimize trading strategies.

Automated Marketing:

Automated Tweets: A system was set up to generate and publish tweets automatically, sharing important analyses or news.
Discussion Channel: Twitter and Telegram accounts were created to automatically post the most important news, helping to build a community.

The Result:

The project enabled Kiosk Finance to build a growing community on social media, significantly enhancing brand visibility. Additionally, the application attracted a growing number of recurring users, with a significant portion opting for the paid version, reflecting the perceived value of the service. Moreover, the in-house automated trading model provided real added value to the company, optimizing its trading strategies and strengthening its position in the cryptocurrency market.

FPC is developing an AI-driven news trading platform for Kiosk Finance