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READY TO BREAK THROUGH THE .0026,,,INSIDERS DUMPING AGAIN
Because people can’t believe Matty D isn’t involved here
All his past success tickers were not so
New 8K filling dropped. Enjoy confirmation
https://www.otcmarkets.com/filing/html?id=17712081&guid=q0O-kHuCxwIqJth
Yeah, Glad they are all free shares, and 8k just came out! Reversal week coming!!!
HOWS THOSE 48S...50% DROP SINCE YOUR CALL...LMAO
SMCE $$$ BOOOMMM !!!! TIME FOR AN EXPLOSION, LETS SEE THIS AT 0.25+ OR HIGHER WHERE IT BELONGS.
8K;Since June 14, 2024 and including today’s announcement, the Company has retired and/or exchanged a total of $1,395,763 of debt. In addition, the Company has cancelled a total of 250,000,000 common shares since June 7, 2024.
“The Investor’s decision to exchange $516,004 in convertible notes for preferred equity provides the Company with the opportunity to further enhance our balance sheet and demonstrates our Investor’s commitment to the Company,” said Erik Blum, SMC’s CEO. “In light of SMC’s recent announcement to purchase 100% of the assets of ChainTrade Ltd., we believe our stock is extremely undervalued. Additionally, management continues to find ways to reduce SMC’s long-term debt, minimize shareholder dilution and increase shareholder value.”
https://www.otcmarkets.com/filing/html?id=17712081&guid=q0O-kHuCxwIqJth
Same thing in recent PR
What is in 8k?
It’s in the works from a recent PR:
“These have been busy and productive times at SMC. We have successfully hit several milestones, starting with reducing debt and the shares outstanding. We have increased insider ownership, completed the SEC review of our Form 10, engaged a new auditor, applied for a name and symbol change, hired an institutional advisory firm, closed on a generational platform without dilution, successfully launched FYNN-AI, and engaged the Chaintrade.AI Advisor subscription model. We are now working towards the full integration of all our products onto our Platform,” stated Erik Blum, CEO of SMC Entertainment.
LCJR
When is the ticker name changed?
You using ihub for what. Buy lower. Otherwise where are making your living.
Lake Ronkonkoma on Long Island is Bottomless too
Okay, I believe you all are swingers or day traders, since you are so concerned on the the PPS. Until FINRA does not provide green light to this company to monetize, you will be in downtime. CEO can throw some PRs as well to help, like he did recently but he is at FINRA's Mercy now. Relax and enjoy the show
Glad weak hands dropping their shares. In this way we remain solid
IF IT DROPS BELOW .0026...NEXT IS 0016!
What's the next stop? We're waiting!!!
Yep. You is da fool eh?
I told you about the Downtime and you did not want to believe it. This company is at FINRA's mercy now. That PR of retiring debt into preferred was strategical but in fact, CEO running out of Ammo. We do have to wait until FINRA gives green light to SMCE. Meanwhile, enjoy the cheapies... It might go lower later on. Tight your seatbelt
YOU WERE WARNED
I can't believe no one is loading
Could even be a fake bottom too~
In theory only you are partially correct. Yes, they are dilution in the preferred shares holders side (pretty much insiders). If you are holding preferred shares or planning on holding here forever then yes, you shall be concerned on common shares dilution to come. The regular investors now in here will be way gone by the time this happens. Also OS the insiders hold more than US, any dilution going in there, insiders will get hurt wayy more than retailers. Make the math. The point of the debt exchange is that it has to be provided to the lender to a lower price than current market. It is a good business, otherwise what’s the point of the lend? Lender can always buy straight from common!!! They never buy OTCM stocks, it is dumb money investment (That’s the way they think). The risk is low as is
What this CEO has done for shareholders is very rare to be done in OTC and we should be grateful:
Unless of course, what you suggest is let the dilution to take place right now in our common shares, or CEO pays this off from his pockets! 😂 nonsense
Issuing preferred shares in lieu of debt is still dilution. There's a lot of debt shares being issued. The shares are also issued at a lower value than currently trading at. The upside is that debt holders have chosen to convert and minimize the selling pressures. The downside is they have shares to cover and inevitably will add to the outstanding.
Good thing is no dilution. This can hit too high if they release good PRs.
Wow, looking at your post history it’s easy to see why you’re here and who pays you.
LCJR
Naah, What this needs is FINRA name change approval
With one more PR, this can hit penny land.
You know why the low volume? BECAUSE PEOPLE ARENT SELLING. The impatient and idiots are out
$SMCE due for a little "bounce" - at least.
The only thing fake was your .01 prediction here...
I think you should stay counting peanuts or maybe in the clown business. Your style is within the words you use but at least you clarified this not to be a shady company. An observation, I don’t need to ask you if you care, it is obvious that you do. If you spend your energy on bashing or at least expressing your concern on something: that’s a reflection of interest!!! Your words mate, the devil within the details. Good luck on your flipping
Ask me if I care, not my style to try scare tactics. I only bash stocks that are scams and so far this doesn't fit that criteria, but it is a flippers paradise. Furthermore, where in my post said that I was using scare tactics? Again, there are three types of clowns, the one with the biggest fat red nose is the biggest clown.
Speak for yourself & your past predictions
Hahahahahahaha, those scare tactics won’t work here mate. Bring something better. I have done DD in here, where I do DD is solid, written in stone. I do challenge you to provide any solid natty evidence that this company is a scams or pon. Waiting for your response
Much smarter reply than the moron you just replied to.
What you seeing is not Selling, it is accumulation at this 50% pull back from .0079 high. It has been 4-5 days trading between. 0032 and .0046 >> I see a liftoff soon from these levels making new highs soon...into pennies this time. Boom!
Super thin trading with no dilution at all.
Someone is selling shares and tanking the stock I won’t mention any names but that someone knows who they are.Its obvious the run took place and love is now lost I am sorry to say…but good luck if you’re in
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Moderators LCJR DD_dempsey MrPuff |
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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