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It is nice to see these companies filling the 8k reports and all the other reports to keep current
Need the bid to fatten at .0008 and get buyers ask slapping.
its thin as fuk.
Was nice to see the milly at .0008 bid not get hit .
Thanks for sharing oldstocks. Unfortunately have to wait for a week to start a position. I will get some of this next week. Thanks for all DD
Quick Flash sell your shares
Anyone know what happened to Fyniti ? Eric Blum said they were going to be a fintech company a year ago. I don’t see the stock purchase on the balance sheet. Friday they announced a partnership with an AI content company. In the meantime SMCE has zero revenue, but is running up 1.6 million a year in debt. Another pump and dump. Blum, Hughes, Kanno BAD ACTORS. BEWARE!
LOl whats up stalker!..Looking good first news in a long time.
Charts a throbber !
kung fu p u s s y grip here
I thought SMCE would start putting out news again and get things in motion
News out today for SMCE ..will it move it?
Probably copied and pasted that part from an earlier release. Doubt they’ve done much as far as gone to market yet as app still doesn’t even work yet.
AI and Quant algorithms, Fyniti
Marketing Strategy
Our go-to market timeline for public launch is the end of Q1/2024. We are currently exploring early adopters to partner with for product beta testing.
Our marketing strategy is multi-fold and comprises the following components:
Direct to retail investors utilizing social media (Twitter, LinkedIn, FB, etc.)
Small-medium CPA firms with clients looking for tax loss harvesting
Financial institutions including banks and broker/dealers exploring to offer our platform to their clients. The Company plans to offer a suite of software as a service to the end user. Each RIA, Financial Institution and CPA will customize the SaaS to their needs.
********
Note: This was from the 10-K filed yesterday
Note: end of Q1/2024 was 16 days ago
Why was a past date mentioned in the 10-K and not a future date. Our go-to market timeline for public launch is the end of Q1/2024
Either Fyniti has gone-to market or it has not from the time of 10-K signing yesterday.
Either way it seems they are getting closer to market.
Tis the season...nice chart..maybe a throbber.Night stalker.
bad actors Naiel Kanno & Ron Hughes walls closing in same management team as SNWR
https://dockets.justia.com/docket/nevada/nvdce/2:2024cv00562/167687
Fyniyi is another scam from Timothy Alford hombre.
Not sure what’s going on with the fynity website but definitely it is a positive they filed. Early even. Hopefully something happens it’s been a pretty dead duck.
I see they got the quarterly report out.
Any idea on what is wrong with the Fyniti websites?
very true a scam the Kanno Hughes pump and dump professionals.
what did these fools pay 25 M for? bad actors beware!
It still deserves all I can deliver and then some.
Looking good i have been buying
this could be getting ready to run again however, make sure you’re on the right side of the Kanno/Hughes pump and dump! There is no real company here, this is their personal piggy bank and how they make their living.
Lol...DJ. still giving smce shit..lol
This lame crap doesnt even meet the minimum standard to qualify as “two bit”.
You pumper ass clowns are all so full of shit.
LMFAO.
New accountant, new website, hmmm? Increased movement...something happening soon, sure looks that way!
$SMCE
— Goku (@GokuOTC) January 26, 2024
New website of the new acquisition!https://t.co/5312to9O0v
This can be big.
They changed their filings to SEC Reporting.
You have to have big plans if you change your filings to be 10x harder.
Waiting for formal update from the company. pic.twitter.com/wgW0pzPzaO
10m buys vs 1m sells = bullish ratio, heating up, numbers don't lie!
I got a position here at .0009 this am on thE HUGE BID SHOWING UP
Smce
New website active
This is going to pennies when updates start dropping
$SMCE
— Goku (@GokuOTC) January 26, 2024
New website of the new acquisition!https://t.co/5312to9O0v
This can be big.
They changed their filings to SEC Reporting.
You have to have big plans if you change your filings to be 10x harder.
Waiting for formal update from the company. pic.twitter.com/wgW0pzPzaO
You guys..lol. sell your shares instead of telling the truth.
You should sell all your shares and take the loss. Ha.
I tried to check on fyniti.com today - now the entire website is gone. I went to go back to their last investor update for Sept 23 in MarketWatch and it’s gone too. Anyone know what’s going on? Amateur hour!
Hopefully they become an actual company with actual investor relations soon. Must be something happening soon or there woulda been no need for the new accountant.
Hopefully they become an actual company with actual investor relations soon. Must be something happening soon or there woulda been no need for the new accountant.
I tried emailing them a long time ago and got no reply
Not sure. Has anyone tried contacting them? If so do they respond? I know I tried a long time ago and never got a reply.
Not sure. Has anyone tried contacting them? If so do they respond? I know I tried a long time ago and never got a reply.
Anyone know why the Fyniti websites don’t work?
Just speculation that SMCE has not got FINRA brokerage approval as of yet.
Yes it takes a long time.
As of this posting i have not seen a news release stating SMCE has gotten approval
I would love to see a news release stating approval
Was there a release about not getting finra approval? Or just speculation? Finra approval does take a long time.
I had a good feeling GFL wasn’t going to happen with SMCE
GFL had issues and has issues proving financials and that is why FDCT didn’t buy GFL
So SMCE was not the problem, GFL was a problem
Fyniti seemed like a great thing but SMCE needed the broker license approval from FINRA
As far as i know they never got FINRA approval for a broker license to buy a broker that was licensed
Interesting I never seen that.
Interesting I never seen that.
What happened to Ayal Israel Levy? He was mentioned as their new CFO on their 12-07-2023 Form 10-12G/A.
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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