We have released new versions of
our programs, which include several improvements, but the main update is the significant expansion of our technical indicators database. The number of
indicators on our platform has more than doubled and now stands at around
160.
With the help of AI, we have quickly entered the niche of leading global platforms, securing a strong competitive advantage in innovation and development. We have already matched the codebase for indicators with top platforms and are ready to significantly expand it in the near future, thanks to AI. This will allow us to offer even more tools for analysis and market operations.
Previously, developing the first half of these indicators required considerable efforts from our users, who created them as part of open source projects. Their work laid the foundation for training the AI, which now generates new indicators fully adapted to our platform.
During the process, it became clear that the AI initially had difficulties with our indicators API. This led us to
revisit and simplify the internal code architecture, which not only helped the AI but also improved the overall flexibility of the system. Interestingly, the AI itself suggested optimal solutions, based on the best programming practices.
The process of developing indicators is similar to what we described in
our article about creating connectors using AI.
We are happy to note that all indicators remain in
open access, and we would greatly appreciate your
feedback. You can leave your feedback in
our chat or on
GitHub to help us improve the product even further.
Unfortunately, we’ve encountered some limitations in using AI tools.
Claude is not available for public access or through an API, so we cannot provide these capabilities directly to our clients. However, we are hopeful that the upcoming
GPT-5 will address the competition and give a much-needed "kick" to others in terms of speed of development and accessibility of technologies.