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$SMCE Fast DD...
$SMCE Fast DD
— ZINO (@gus94202612) June 3, 2024
💎5O Million Acquisition Value💎
>>> Two A.I. Acquisitions Coming✅
>>> Fynit A.I. and ChainTrade A.I.✅
>>> Low Float✅
>>> Audited Fins✅
>>> Name Change Coming ✅
>>> Uplisting Plans✅
Agree Berkshire...Has the ingredients
Are there any fundamentals coming that would lead us to elevated shareprices???
$SMCE getting ready for life off!!! $RONN 2.0. pic.twitter.com/3ivdY70ME4
— Always Be Positive and Manifest (@Millionaire_555) June 3, 2024
Looking primed here. OTC looking for the next NSAV 2.0 runner and this one seems to fit all criteria's .....
Yup! Monday according to some X post I see this one should be above 01 very quick
I agree, in mean time will add more in this.OOO9-.OO11 range
So was RSPI when i sold a week ago...gutted !!.
We will move here eventually.
Excellent no change. That means this has all been retail flippers: yes! Few dudes w 10 mil or more shares were the ones probably just toying and flipping….but eventually here the story is toooooo similar to NSAV to not run big ….i e been searching the Chaintrade.io AI website .….this platform is coming out soon and is rather awesome…..and the close of its acquisition…..its all coming together.
Nice to see, but must be some insiders selling then... imo
Nice! Share structure updated from May 9th. No changes https://www.otcmarkets.com/stock/SMCE/security
You been in this long?
Your right, sells and buys are about even. Seen this before on other stocks that have run big. Looks to me like MMs are setting SMCE up for a sizable run soon. SMCE has all the ingredients for a huge winner. Low low float, very knowledgeable executive staff, a hot merger and an ai/fintech platform launch. This is going to wake up the whole OTC and maybe even bring some whale money down from the small caps too. Read the other PRs about Fyniti and it's creator Jay Gopalin and his extensive connections in the banking industry. This venture is going to put SMCE in the Market spotlight. When they get the platform launched and marketed to the right banking institutions, they'll be uplisted in no time. This stock is going to fly, once it gets massive attention.
Looks like it has been a mixture of people loading and selling
Any fundamentals that caused this??
~they filled the gap @.0009 down to one single trade @.0009 today to fill it, lol
Gap was from two days ago….so if dilution slows or retail flipping, well free to fly now as some chartist would come here screaming the .0009 gap has to fill of it didnt today:
This is most similar stock to NSAV also fintech trading software etc…but here the tradeable float is only just over 500 mil, there its over 6 billion…and NSAV went from around here to over .02 cents so far.
Also here w that filing yesterday showing .018 cent valuation ith last years Fyniti merge……now on May 9th they announced about to close on AI trading software system ready to launch called ‘Chaintrade’.
I need to do more due diligence here but I like everything I see so far, very much, and volume has now been big the last several days let’s see how we finish into the weekend.
In regards to valuation you mentioned in previous post. Here’s a pretty good tweet including their newest acquisition.
Conservative sector multiplier would be 10X but I bet with the introduction of AI the multiplier is in the high teens plus This valuation still does not factor all this and future acquisitions like https://t.co/XAN1LQJVpl simple estimate: .018 X 10= .18 pps with no pump $SMCE https://t.co/OQQsMzFgyc
— DeepInYoMommasAzz (@Deepinyomomma) May 23, 2024
In regards to valuation you mentioned in previous post. Here’s a pretty good tweet including their newest acquisition.
$SMCE valuation of $ .018 without any premiums. 🚀 https://t.co/jGezqvfkoE pic.twitter.com/DaIDH5evBS
— DeepInYoMommasAzz (@Deepinyomomma) May 23, 2024
That is so true...i have many low float otc stocks just waiting for the
right time for the money to trickle down to this arena.
Damn aint we undervalued !!! Glad i got my ticket to ride.
I think that valuation is old and wrong for what the company will become. In the filing it says, the company intends to license the platform first to institutions, then to individual traders. If the platform gets accepted by major institutions, the PPS should easily go up to the dollars. Yes .018 is better than it is now, but it has great possibilities of going much higher, IMO.
I think SMCE stock could bring a great amount of interest back to the OTC. Many influencers on X are introducing the idea to their followers. But there has to be an attraction to see the opportunities that the OTC can offer. So many great stocks here, beat down low, without enough volume to move them. And so much money flowing in and out of small cap stocks and crypto, that should be here. SMCE is a great undervalued play that with enough support, can move huge.
I'm still crushed because I had a chance to get in a few days ago at .0008 and I muffed it
Looking better and better here
So someone on ❌️ says we should buy ....so we should buy????❓️
From todays filing .018 fair value for previous acquisition not even counting recent one
$SMCE From todays filing Fyniti Global Ebt fair valuation is a pps of .018, this isn’t even counting the newest acquisition. pic.twitter.com/JQxigCCgkj
— Brian Sowa (@sowa32214) May 23, 2024
Form 10 out. Shows 20 million in assets at 0.018 stock value!
Form Type—10-12G/A
just in....05/23/2024
Amendment number 6
Nice breakout continuation!!!
SMCE heating up quickly folks
Over 5 million bid at .0012 now...lets go !!!
Just updated tonight..still the same.
Getting closer to catalyst of previous pr closing notice the words in last pr include closing QUICKLY, catalyst is what drives pps forward and brings future volume.
So the general consensus is that there was no particular fundamental driver today, other than sudden volume....just a technical issue.... a volume spike from 2 weeks ago ???
Today was 2nd volume spike since this PR. Key words from PR below!
$SMCE Keys words from recent pr to close the AI acquisition QUICKLY! It’s ready for commercial launch and will revolutionize trading. pic.twitter.com/BWuPHSOVpR
— Brian Sowa (@sowa32214) May 22, 2024
This could go either way. I am leaving my .0006 and .0007 orders open just incase they have a chance to fill.
Last time it went from .0006 to .0016 and back down to .0007 and back up to .00144 and started to head down but…….who knows
All big board AI plays have went crazy is only a matter of time before OTC AI play go crazy imo. Here’s a big board momo trader alerting $SMCE @.0008 right where i alerted todays reversal on twitter.
Hence why a big board Momo trader was tweeting $SMCE at .0008 right where I was alerting todays reversal.https://t.co/8kr15A8eAi pic.twitter.com/aLd1PwN9Hb
— Brian Sowa (@sowa32214) May 22, 2024
Some people seem to call dilution when the pps isn't acting like they want, without any changes to the Unrestricted OS
Exactly bro it’s CHIEF use to have alias patrick magic Mahomes im with you. Starting over was in rehab but back starting over following wise. Nice to see you again brother.
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Our wholly owned subsidiary, Fyniti Global Equities EBT Inc. markets a software-as-a-service (“SaaS”) proprietary platform for Certified Public Accountants (“CPAs”) Financial Institutions and Registered Investment Advisors (“RIAs”) (the “Platform”). The Platform is a SaaS platform enabling users to see the developing market trends and use it to create customizable baskets if applicable.
Currently, the Company has earned only minimal revenue. The SaaS is ready to implement, and we are currently talking to different CPAs and RIAs about beta testing the Platform beginning in the first quarter of 2024.
Pending the results of beta testing, the Company plans on using a model of an initial set up fee with a monthly content fee. Each CPA, Financial Institution and RIA will be charged an initial fee of $50,000 and a monthly maintenance fee for the software of up to $100,000 per month. The Company anticipates signing a beta test contract after its Form 10 Registration Statement is effective.
The Platform’s IQ Engine enables the user to see changes occurring on the underlying indexes daily and provides alternatives based on machine learning (“ML”) and artificial intelligence (“AI”) which the user can incorporate into its decision making process.
Our AI and ML Capabilities:
Fyniti Global Equities EBT employs state-of-the-art AI/ML technologies along with Quant algorithms, to enhance our quantitative investing strategies and wealth management solutions. The primary purpose of our AI/ML capabilities is to optimize trading strategies, risk management, and portfolio allocation.
Operation of the IQ Engine:
The IQ Engine operates by continuously analyzing vast amounts of financial data, market indicators, and historical trading patterns. It employs advanced statistical models and machine learning algorithms to identify trends, correlations, and anomalies in the data. These insights are then used to make data-driven decisions regarding the execution of trades, asset allocation, and risk mitigation. By using the IQ engine, Financial Institutions, RIAs, and CPAs will have more access to information flow with which to make better decisions for their clients.
Datasets Utilized:
Our AI/ML algorithms utilize a wide range of datasets to inform their decision-making processes. These datasets include but are not limited to:
We use both public and paid sources for input. Most of the input is correlated by amassing the collective data points at the end of business everyday., Our AI/ML algorithms utilize a wide range of datasets to inform their decision-making processes. The AL/ML Algorithm captures between 20 and 30 thousand data points every day from different places. These data points comprise but are not limited to:
Market Data: Real-time and historical price data, trading volumes, bid-ask spreads, and order book information.
Economic Indicators: Macro-economic data such as GDP, inflation rates, and interest rates.
News and Sentiment Analysis: News articles, social media sentiment, and other textual data sources to gauge market sentiment.
Fundamental Data: Company financials, earnings reports, and analyst recommendations.
Alternative Data: Non-traditional data sources are also incorporated to enhance the capabilities. As an example, regarding the financial sector. Buy now pay later tracking, Credit card usage, M1distribution, and Fed Data.
We obtain those datasets from paid data providers like financial data publishers as well as public sources like corporate SEC filings Edgar and Bloomberg etc. The nature of these datasets is both structured and unstructured data. Depending on the source of the dataset, the cost varies. Regarding the AI, we use 3 broader types of algorithms, supervised learning, unsupervised learning and reinforcement learning.
The SaaS is used to create a projected weighting on each block. In essence creating a customized index basket that is actionable on by the RIA As an example there are 500 stocks in the SP 600 the AI/ML could customize a block minus oil and gas or minus banks. The institution would have access to alerts on a daily basis showing recommended adjustments within their customized block. The RIA or institution would have the decision to act or not act on the alert.
We use AI in various capacities including (but not limited to) the following use cases: RAG based Information retrieval from unstructured data like SEC filings, quarterly reports etc., Text summarization and classification, Predictive analytics using financial metrics, Automatic data enrichment and predictions, Autonomous agents to continuously analyze data, identify missing features, rank and assign based on metrics v Analyze and enhance news stories, structured inputs like analyst ratings etc. All these datasets, 3rd party inputs are internally used to predict various ratings and analysis, but those data are not shown directly to the end users.
The mix of data points is designed to provide actionable alerts to financial institutions the exact set of data points is proprietary to the SaaS platform and the company would like to not divulge it publicly.
We obtain those datasets from paid data providers like financial data publishers as well as public sources like corporate SEC filings Edgar and Bloomberg etc. The nature of these datasets is both structured and unstructured data. Depending on the source of the dataset, the cost varies. Regarding the AI, we use 3 broader types of algorithms, supervised learning, unsupervised learning and reinforcement learning.
We use AI in various capacities including (but not limited to) the following use cases: RAG based Information retrieval from unstructured data like SEC filings, quarterly reports etc., Text summarization and classification, Predictive analytics using financial metrics, Automatic data enrichment and predictions, Autonomous agents to continuously analyze data, identify missing features, rank and assign based on metrics Analyze and enhance news stories, structured inputs like analyst ratings etc. All these datasets, 3rd party inputs are internally used to predict various ratings and analysis, but those data are not shown directly to the end users.
Third-Party AI Products:
While we primarily rely on our proprietary AI models and Quant algorithms, we also utilize third-party AI products and services for specialized analyses or data enhancements. These third-party tools are carefully vetted to ensure their accuracy, reliability, and compliance with regulatory standards.
We use the comparable and mention the ETF market because we wanted to draw parallel to how these two differ in the ability to cater to same segment of stock investors.
Fyniti Blocks -- as we call it-- may look similar to ETFs, however these two are different financial products, however the end goal is these two helps professional investors in simplifying their investment strategy. Fyniti Blocks offer Ria’s and Hedge Fund managers the ability to leverage real time trends and events, offering customization etc., Our product is a technology product offered as Software-as-a-Service because it leverages latest technologies to help the RIAs/brokers while giving them the controls they need to manage these by themselves and also without changing how these stocks are traded. It helps them in managing their portfolios better. ETF are set in their weighting the software offers institutions the ability to change their weightings as needed to reflect the underlying sentiment of the machine learning protocol.
We do use data like any other typical technology-based stock trading platform would use, but not necessarily would extrapolate data from ETF markets. For the reasons given above, the way it operates is very different and also, it addresses the gaps in customization that the ETFs currently do not provide.
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