We turn common investors into uncommon success stories.
Empowering long-term investors with safe and profitable stock choices. This is a long-term approach to the ‘get rich quick’ trade recommendation landscape.
Outperform the market
Lower risk
Peace of mind
50% of people do not know what stocks to invest in, when to invest in them, or for how long.
3 big benefits
Outperform the market
We have a statistically relevant prediction model that has consistently outperformed the S&P 500 since 2007. The average trade per year yields a 50% return.
Low risk
We only recommend the most traded stocks within the S&P 500. We do not touch penny stocks. Every trade recommendation we make will be a ticker that sounds familiar.
Peace of mind
We only recommend trades when our specific criteria are met. We would rather not take a trade instead of recommending a stock with unfavorable risk.
Predictions for busy investors. No need to spend the day behind the computer waiting.
Top 5 criteria for picking stocks that 10x
Get FREE access to how we were able to 10X our portfolio in just a few years.
Our performance
Below are the results from 2007 to 2023. Despite the ups and downs in the market, here are the direct stats from every single trade going back.
Last completed trades
We are currently holding positions, but do not want to disclose what they are for the privacy and integrity of the 100+ people who subscribe to our recommendations. The following is a list of every single completed trade the system has made.Click the image below to download the data.
Testimonials
We prioritize long-term growth, over short-term quick gains.
How it works
Step 1
The predictive model runs at the end of the day and makes predictions for the following trading day.
Step 2
If the system identifies a trade to make, it will send you the ticker and action within an hour of the market closing.
Step 3
You place a market order for the following morning open.
Number of trades taken per year
The number of trade recommendations that we send per year on average is 28.
We can't make you rich in a day...
But we can give you one hell of a return in a year and a day, here's how.
Decision making
Without disclosing exactly how our model makes decisions, we still want to be as transparent as possible.The model is built on almost two decades of historical analysis and performance. The predictions are based on a simple-ish psychological approach to specific market movements.
Holding period
We only trade the top-traded stocks in the S&P 500 for liquidity and strategic hedging purposes. We hold every trade for a year and a day (251 trading days) for two reasons.1. The 250th day marks the point in which we get a diminishing rate of return and it is more advantageous to put that trade capital into a new investment.2. We do not have to pay short-term capital gains tax.
Long-term approach
This is a calculated approach to high-performing trades. We also realize holding a stock for one year is not "long-term", certainly not by Warren's definition.However, given the landscape of other platforms out there; taking 15 trades a week and in and out of the market in a matter of minutes, this is a much longer-term and calmer approach to beating out the market.
Top 5 criteria for picking stocks that 10x
Get FREE access to how we were able to 10X our portfolio in just a few years.
We don't want to sit in front of a screen day trading either.
We would rather get slow steady predictions, every couple of weeks, and take them at our leisure.
Frequently Asked Questions
Best way to use these recommendations as they come in?
Our predictive model runs at the end of every day after the market closes. If it has identified a stock, it will immediately send you a text message to your phone with the prediction and action. You would then have the remainder of the afternoon, evening, and the following morning to place a market order trade for the opening of the following morning. We would then keep track on our side when the sell signal comes in and will send you the corresponding sell signal for that stock when the model indicates it’s time to sell, typically around the 250-trading day mark.We also recommend using around the same amount of money for each trade to get results consistent with the historical performance.
How often are stock recommendations provided?
On average, we provide a couple of stock predictions every other week. We don’t have control over when the predictions come in and there have been months where we don’t get a single prediction and then in the following month we get six predictions all at once. The average year will have about 28 predictions with the lowest year having about 11 predictions, and our most traded year, about 74 predictions.
Is there a trial period available for your service?
We don't provide a trial due to our long-term strategy, which may involve only a few trades some months and one year to close a trade.
What kind of analysis goes into selecting recommended stocks?
The model is built on almost two decades of historical analysis and performance. The predictions are based on a simple-ish psychological approach to specific market movements. The model's stock selection process involves two key areas of analysis. First, it delves into fundamental analysis, examining the underlying numbers and business decisions of a particular stock. Second, it applies technical/psychological analysis to determine the opportune moments for buying. It's a dual-pronged approach to ensure comprehensive and informed recommendations.
Why give this info away if its so good?
We're sharing this strategy because it's proven to be statistically profitable for us, and we see an opportunity to increase our earnings beyond the money we make from already making the trades ourselves by extending the trade predictions to you. We've consistently outperformed the markets with these trades and figured other people would want to as well. We base everything on the numbers and since we know what the average trade looks like over the long term, we are confident in the averages and confident in the recommendations.
How and where do I receive the trade recommendations?
Once you subscribe, we send you an invite to a WhatsApp group. We will be adding new ways to send predictions in the future like text, email, and Messenger.
Begin your journey to financial freedom. Subscribe now to explore a world of secure, long-term growth.
Pricing and early access
Whether you're an experienced investor looking to diversify your portfolio or a beginner looking for some direction, explore our subscription options below to take the next step into your financial success.
For the first 99 subscribers
Quarterly access
If you are interested in learning more about using our prediction model, book a call below to see if we are a good fit.
As we build new models and improve the existing system, you will be grandfathered in at no additional cost. Subscribe now, to lock in the current pricing.
Trade recommendations sent directly to you
Access to our private group where we give updates on the models
Access to our research analysis and private reports
Yearly access
If you are interested in learning more about using our prediction model, book a call below to see if we are a good fit.
As we build new models and improve the existing system, you will be grandfathered in at no additional cost. Subscribe now, to lock in the current pricing.
Trade recommendations sent directly to you
Access to our private group where we give updates on the models
Access to our research analysis and private reports
Frequently Asked Questions
Best way to use these recommendations as they come in?
Our predictive model runs at the end of every day after the market closes. If it has identified a stock, it will immediately send you a text message to your phone with the prediction and action. You would then have the remainder of the afternoon, evening, and the following morning to place a market order trade for the opening of the following morning. We would then keep track on our side when the sell signal comes in and will send you the corresponding sell signal for that stock when the model indicates it’s time to sell, typically around the 250-trading day mark.We also recommend using around the same amount of money for each trade to get results consistent with the historical performance.
How often are stock recommendations provided?
On average, we provide a couple of stock predictions every other week. We don’t have control over when the predictions come in and there have been months where we don’t get a single prediction and then in the following month we get six predictions all at once. The average year will have about 28 predictions with the lowest year having about 11 predictions, and our most traded year, about 74 predictions.
Is there a trial period available for your service?
We don't provide a trial due to our long-term strategy, which may involve only a few trades some months and one year to close a trade.
What kind of analysis goes into selecting recommended stocks?
The model is built on almost two decades of historical analysis and performance. The predictions are based on a simple-ish psychological approach to specific market movements. The model's stock selection process involves two key areas of analysis. First, it delves into fundamental analysis, examining the underlying numbers and business decisions of a particular stock. Second, it applies technical/psychological analysis to determine the opportune moments for buying. It's a dual-pronged approach to ensure comprehensive and informed recommendations.
Why give this info away if its so good?
We're sharing this strategy because it's proven to be statistically profitable for us, and we see an opportunity to increase our earnings beyond the money we make from already making the trades ourselves by extending the trade predictions to you. We've consistently outperformed the markets with these trades and figured other people would want to as well. We base everything on the numbers and since we know what the average trade looks like over the long term, we are confident in the averages and confident in the recommendations.
How and where do I receive the trade recommendations?
Once you subscribe, we send you an invite to a WhatsApp group. We will be adding new ways to send predictions in the future like text, email, and Messenger.
Begin your journey to financial freedom. Subscribe now to explore a world of secure, long-term growth.
About us
Who are we?
Welcome to Stable Edge, where transparency meets expertise. Ever wondered who guides our trade recommendations and holds the authority to navigate the financial terrain? Let's meet the guys behind the scenes.There are two key people involved in Stable Edge; Vazul Hites, a serial entrepreneur and investor over the last decade, and his mentor who has been trading the stock market focused on long-term growth for over 35 years with an average annual portfolio return of 25% per year.Vazul's mentor is a long-term investor, data analyst, and quant. He has already made his millions, is retired, and spends his time biking and analyzing data...for fun.Stable Edge started simply because Vazul had friends and colleagues wanting him to forward trades the system made directly to them. He also had to keep explaining the latest and greatest to each individual and after a couple of weeks of having the same conversations over and over again, and with the demand of people wanting the trade recommendations, he decided to build a website and turn the system he and his mentor had been using, into something other people could get value out of as well.Vazul now spends his time trading the markets, traveling, and writing 'about us' pages. Look, someone has to do the dirty work.We obviously cannot promise returns; however, we are extremely confident in the data. If we did not believe that these predictions are everything we say they are, we would not be taking these trades ourselves or recommending them to our friends and family.If you think we may be a good fit, try us out and give it a shot. Still to this day, Vazul and his mentor take every single trade and continuously research the markets looking to improve the model over time.
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