Here's what's going on at JSA.
As part of the Quant project, I've developed several proprietary indicators. These are based on my market understanding and experience, combining technical setups with price action. Each indicator scores the relative strength of each tradable asset. This advancement is a significant step for our JSA startup. As previously mentioned, it completes the major project I've been diligently working on. Our plans include a capital raise (with the first round to complete end of this year), a long-term investment arm (funded by post-raise), an algorithmic/quantitative trading portfolio, a web application for the investor portal, and an AI for traders.
I’ll do my best to keep this one short by highlighting the major updates / plans…
The "Float Infinity Project" reflects the idea of endless possibilities in my mission to develop an AI tool for traders. Inspired by the concept of "infinity" in programming, which represents the highest possible value, this project signifies my commitment to innovation and pushing boundaries in trading technology. As I work on creating a platform that helps traders with advanced analytics and predictive insights, the name "Float Infinity" symbolises my dedication to excellence and continuous improvement in the world of finance.
This is a SaaS (Software as a Service) product that will be sold to traders worldwide. I already have a community waiting for this, and I plan to charge multiple plans for different levels of access on a monthly basis. The goal here is simple (after I have done all the hard work of writing this app, of course): to get as many monthly subscribers that pay a monthly subscription fee.
The potential is huge. I have done extensive market research and can confidently say that I have not seen a product similar to what I have in mind, and I am building. There is so much junk out there that this app plans to solve. Getting the first 1K subscribers on the basic plan of $4-$5 a month is already significant. The project's architecture is scalable and will be able to accommodate 1M+ subscribers with no issues handling that many users and their data on the database. The similar project architecture I am using is a technology stack that big companies use such as Netflix, TikTok, Spotify to name a few.
I am super excited about this project the most, and it is one I cannot rush. This will be one I will really need to take my time on in building. Considering the scale of the project, I may even need to hire another programmer down the road to assist me with this.
I've laid the groundwork by creating a set of unique indicators with Python and using data science techniques to analyse historical market data. These ideas, derived from years of discretionary trading, are now systematically and mechanically implemented. This process involves defining clear rules for all scenarios, eliminating ambiguity. The next step involves writing code to apply this logic to all tradable assets. The system automatically scans the markets and applies these filters. Finally, it implements a scoring system, allowing me to determine the day's trading momentum by combining the results.
Right now, I'm using this as my guide for active day trading during the capital raise. The next phase involves building a trading algorithm based on these indicators. This phase is where the heavy lifting comes in, as it involves the 7 stages mentioned in a previous update (https://sanchojralegre.com/marketblog/article/27).
Below are a couple of screenshots of this indicator:
heatmap
dataframe