Clearly outline AIvest Solution's vision, mission, and short-term goals.

Identify and define the target audience to tailor features accordingly.

Assemble a cross-functional team including developers, data scientists, legal experts, and UX/UI designers.

Evaluate existing technologies and frameworks for platform development.

Brainstorm and conceptualise core features and functionalities.

Develop initial wireframes to visualise the platform's structure and user flow.

Analyse the current landscape of AI trading platforms.

Identify gaps and opportunities in the market.

Explore competitor offerings and gather user feedback for insights.

Refine feature concepts based on market research.

Identify potential risks in each phase of development.

Develop strategies to mitigate risks and ensure project resilience.

Continuously monitor and assess resource needs.

Adjust team size and skill sets based on evolving project requirements.

Engage legal experts to establish a solid legal framework.

Ensure compliance with financial regulations in the Czech Republic.

Set up a robust data collection system for market information.

Implement secure storage solutions for sensitive financial information.

Assess the environmental impact of the platform and adopt sustainable practices.

Develop interactive prototypes based on refined wireframes.

Conduct initial user testing to gather feedback on the prototype.

Finalise the chosen technology stack for platform development. Kick off development with a focus on core functionalities

Adopt an iterative development approach.

Continuously gather user feedback and make incremental improvements.:

Implement ethical considerations in algorithm development and trading practices.

Implement initial security protocols.

Prepare for beta testing by setting up a controlled environment.

Stay informed about and comply with evolving regulatory requirements.

Collaborate with experienced data scientists to develop and refine trading algorithms.

Test and optimise algorithms using historical data.

Develop training resources and documentation for users, especially for new features.

Scale up development efforts for the full platform.

Integrate developed algorithms into the platform.

Enhance UI/UX based on early user feedback.

Launch beta testing for a selected user group.

Establish channels for ongoing communication with the user community.

Implement feedback mechanisms to gather user opinions.

Refine features based on beta testing feedback.

Enhance security measures based on testing outcomes.

Develop educational materials to guide users.

Initiate pre-launch marketing campaigns.

Ensure ongoing compliance with regulatory requirements.

Communicate transparently with users about how their data is used and protected.

Conduct thorough testing of the entire platform.

Implement a phased platform launch, beginning with an initial user base.

Establish key performance indicators to measure the success of your platform.

Provide responsive customer support to address user queries and issues promptly.

Evaluate platform performance and user engagement post-launch.

Implement iterative improvements based on ongoing user feedback.

Plan and execute the launch of dedicated iOS and Android mobile applications.

Explore new technologies for enhanced performance and security.

Iterate on existing features based on user suggestions and evolving market trends.

Ensure the platform's architecture and infrastructure can scale seamlessly.

Conduct a comprehensive user experience overhaul.

Continuously assess and improve sustainability practices.

Formulate a roadmap for continuous improvement based on user feedback and emerging market trends.

Roll out advanced AI models for refined trade predictions.

Explore opportunities for global expansion, adapting to regulatory requirements in new markets.

Explore integration with emerging technologies to stay at the forefront of innovation.