Replies to post #18520 on Fyntechnical Innovations Inc (FYNN)

[oldstocks]

Here is the stock alert that was put out in January before the stock hit a high of .004 that day.
https://www.wallstreetalerts.org/alerts/163d1d787ef249.html
Since the alert SMC Entertainment and Genesis had to rework their agreement.
The new agreement is supposed to benefit all 3 companies into this merger.
I am hoping for news about the Fyniti, SMC Entertainment deal and how Genesis all plays out here. SMCE is the public company and the way I see the merger playing out is Fyniti becomes the public company in a reverse merger and Genesis ends up owning 10% of the new company. At least this is what some of us here are thinking.

[hunterj20]

I added more 11's got lucky on the bid. It could pop to .002's in a blink. LOVE IT

[oldstocks]

AI+Quant investing techniques built into the proprietary Fyniti IQ Engine.

Doing some research on AI Quant I found:

Is AI used in quant trading?
There are several types of AI trading: quantitative trading, algorithmic trading, high-frequency trading and automated trading. Quantitative trading, also called quant trading, uses quantitative modeling to analyze the price and volume of stocks and trades, identifying the best investment opportunities.

What is AI intelligent quantitative trading?
AI trading is a type of trading that uses artificial intelligence to make decisions. Quant traders use mathematical models to make predictions about future market movements.

Is quant trading profitable?
Yes, quantitative trading can be very profitable if you have the mathematical knowledge to create the right models, the programming skills to code your algorithms, and trading experience to effectively manage risk.
AI trading companies use various tools in the AI wheelhouse — like machine learning, sentiment analysis and algorithmic predictions — to interpret the financial market, use data to calculate price changes, identify reasons behind price fluctuations, carry out sales and trades and monitor the ever-changing market.
There are several types of AI trading: quantitative trading, algorithmic trading, high-frequency trading and automated trading.
Quantitative trading, also called quant trading, uses quantitative modeling to analyze the price and volume of stocks and trades, identifying the best investment opportunities.
Algorithmic trading, also known as algo-trading, is when stock investors use a series of preset rules based on historical data to make trading decisions.
When a trading system is built using the technical analysis of quantitative trading combined with automated algorithms built on historical data, you get AI trading, sometimes known as automated trading.
AI trading provides hedge funds, investment firms and stock investors with a slew of benefits.
AI trading can cut research time and improve accuracy, predict patterns and lower overhead costs.

[oldstocks]

AI in Fintech
https://www.forbes.com/sites/naveenjoshi/2021/12/17/how-ai-is-adding-value-in-wealth-and-asset-management/?sh=3b685b5919ba
Robo-advisory
Robotics, one of the main subset fields of AI, shows promise in the field of wealth management. There are almost a total of nearly 100 robot financial advisors in 15 countries currently. Financial forecasts predict that the number of assets being managed by robo-advisors will be approximately US$16 trillion. Robo-advisors use client input and consider factors such as risk appetite, liquidity and others before highlighting the best financial options that are there before making an investment in shares, bonds or other financial assets.
Robo-advisors have gone through four main evolutions. The first phase involved client-investors receiving single-product proposals on the basis of an online questionnaire that clients would fill to feed information about their investment preferences. No broker API was involved. The second evolution included the use of risk-based portfolio allocation and the concept of funds. The third evolution brought about the use of algorithms for rebalancing proposals. The final evolution automates financial investments with self-learning and uses AI and robotics to automate asset shifts. AI will continue to be heavily involved in robot financial advisors.
AI and Wealth Management
Unlike asset management, which includes a finite number of things, wealth management is a much broader term. It looks at multiple factors that affect an individual or family’s overall finances before providing recommendations to maximize their wealth. Certain qualities of AI in asset management, such as cost reduction and better decision-making are used to optimize wealth management too.