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Gentlemen, I think your CEO Heard you all, including me. He dropped a bomb. Remember the Debtors that I was talking about and cashing out lately and coming on 09/30/2024 too, gone. Next Q filling shall show such debt moved to preferred. Anyways, be careful, as soon I did put 2,307,692 shares to buy in at the ask in 0.0039, the MMs moved it up to 0.0044. So, now because my entry we do have a gap between 0.0035 to 0.0044, do not fall for MMs manipulation. Do not buy this over 0.004 today. Yes, news below is great but MMs are taking advantage of such to manipulate. Careful, FINRA has not given green light yet. I am certain CEO or insiders are watching social medial, good move by them anyways:
https://www.globenewswire.com/news-release/2024/07/24/2917938/0/en/SMC-Announces-Exchange-of-516-004-of-Debt-to-Preferred-Equity.html
Says the guy who has to chase it today! Lol! Weekly chart is fine, the 200 week MA at 37 is support
SMC Announces Exchange of $516,004 of Debt to Preferred Equity
BOCA RATON, Fla., July 24, 2024 (GLOBE NEWSWIRE) -- SMC Entertainment, Inc. (“SMC” or the “Company”) (OTC: SMCE), a versatile incubator company focused on acquisition and support of proven commercialized financial services and technology (Fintech) companies, is pleased to announce the exchange of $516,004 of debt in the form of convertible promissory notes (the “Debt”) for Series D Preferred Shares (“Preferred Shares”). The Debt exchanged to Preferred Shares will be reflected in the Company’s third-quarter 2024 financial statements.
The Debt is comprised of $516,004 held in two previous convertible notes; $313,323 and $202,681 respectively. The Company shall issue 55,000 Preferred Shares in exchange for the Debt. The Preferred Shares shall convert into the Company’s common stock at a share price of the lesser of $0.005 or 65% of the average closing price in the preceding 90 trading sessions. The conversion of Preferred Shares to common stock is permitted after two years from Preferred Share issuance with a maximum of 4.99% per conversion. All share issuances are restricted in accordance with the Securities and Exchange Commission (“SEC”) Rule 144.
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.”
About SMC: www.smceinc.com
SMC is a versatile holding company focused on acquisition and support of proven commercialized financial services and technology (Fintech) companies. SMC’s multi-discipline growth by acquisition approach is to enhance revenues and shareholder equity.
About Chaintrade: www.chaintrade.ai
Chaintrade LTD is a UK Registered Entity and is affiliated with Red Matter Capital LTD, a registered financial service company, with its subsidiary licensed under a securities trading license granted by the Montenegro Capital Market Authority (CMA) Authorized by the law on capital markets by the government of Montenegro.
Press Release Contact:
Erik Blum,
Chief Executive Officer
SMC Entertainment, Inc.
360-820-5973
Safe Harbor Statement
Some of the statements in this press release may be forward-looking statements or statements of future expectations based on currently available information. Such statements are naturally subject to risks and uncertainties. Factors such as the development of general economic conditions, future market conditions, unusual catastrophic loss events, changes in the capital markets, and other circumstances may cause the actual events or results to be materially different from those anticipated by such statements. The Company does not make any representation or warranty, express or implied, regarding the accuracy, completeness, or updated status of such forward-looking statements or information provided by the third-party. Therefore, in no case whatsoever will the Company and its affiliate companies be liable to anyone for any decision made or action taken in conjunction with the information and/or statements in this press release or any related damages.
https://www.globenewswire.com/newsroom/ti?nf=OTE5MjcwMSM2MzkwNTYzIzUwMDEyNjMwMA==
https://ml.globenewswire.com/media/MjVhMjliMzgtYjlmNS00M2YzLTk0ZGYtNjk1NzU5Yzg4YjA5LTUwMDEyNjMwMA==/tiny/SMC-Entertainment-Inc-.png
Source: SMC Entertainment Inc.
© 2024 GlobeNewswire, Inc.
https://www.otcmarkets.com/stock/SMCE/news/story?e&id=2926075
Nope, not enough, I am still trying to drive it down with a few millions. Buying at the BID when it was at 0.0033-0.0034 and 35. It filled, partially but I won't touch this anymore until it hits 0.002 ish level. It will get there pal, there are not more news in here for awhile. ALL is at FINRA's hands now. Downtime in this company until FINRA. 20-MA support got destroyed and when it tried to test again at the end OF THE DAY 20-MA resistance, it bounced down. Now we gotta test the 50-MA (0.0031) which we got close this morning. Like I said before, if it breaks the 50-MA support, this will go in free fall and YES, I will get enough if it breaks, for sure. Heey!!! No negativity in here folks and none of you shall be scared or annoyed (Unless you are a penny flipper or a day trader of course), THIS COMPANY IS SOLID and it will change lots of zip codes in here. My retirement begins here. It is the why I want to buy the lowest possible. When this shoots up to a least 0.25, I am set for life
NOTE: if some of you have level 2 tool, some of weak hands are trying to sell at 0.0039, 0.0045 and 0.0049
maybe some of the folks in this chat are the actors waiting to get out. I know what this company is about, I made my DD. Goin long in here
.0126 is the next projected target price after it trades over .0079, do you want me to tell you how to calculate targets? Take the 79 high, minus the 32 low then add the 79 high = .0126, easy!
Here ya go!
i called .003 this morning
Sure, but 2024 isn't over yet now is it? Lol! Plus, I'm still ROTFLMFAO from my 2021 win! And it was the win that keeps giving as I live off the Interest now!
Exactly! You called for 36 and it went to 32, good call! Problem is you don't trust your own analysis and didn't buy any! That makes you a Chart Follower, NOT A CHARTMASTER! lmao!!!! Too funny man! I missed you while I had you on ignore for over a year or so!
I'm 175% up from my initial investment.
We've only just begun.
Here's the proof, can you post your 2021 win or any win at all to compare? Waiting....tick, tock! Lol! This proves who's the better chartist don't you think? SMH
And I didn't see where you bought any SMCE here yet
Feb 5, 2021 The day my account hit over 1 Million $$$
Feb 8, 2021
Feb 9, 2021
Feb 10, 2021
Feb 16, 2021 2.5mill peak
2021 Etrade wins NSAV my best ever!
Yet you've never posted any proof, Huh! Go Figure! Lol! When you make $1,975,000 in one year then you may have bragging rights, that's a long long ways away!
Stick with your 2 tick flipping! BTW, I like your new profile pic! A BLACK HOLE LIKE YOUR TRADING ACCOUNT! LMAO!!!!
A million free shares at 48 ave that is! Sold 73, bought 46, not bad! Try and keep up! You're too slow! Time to try and sharpen your skills TT, right now they're sharp like a bowling ball!!! LMAO!!!!!
Disagree, Price fell to 32, just 2 ticks from the rising 50 day MA, and buying at the rising 50 day MA is one of my signature plays, always buy the pullback to a rising 50 day MA!!!!
Boom! At 45 Stochastics are crossing!!!
Stochastics bout to cross issuing BUY SIGNAL! 2 day dip below 50 was buying OP!!!
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.
AI
