Frequently Asked Questions about QForecast.com
◐ What is QForecast.com?
QForecast.com is a unique approach to stock market forecasting as it presents quantitative numbers and probability figures with clearly defined start- and end-dates for the mentioned target levels. Instead of simply telling "Stock ABC may jump to $200," a better input is provided in the form "Stock ABC has 87.65% probability that it will hit $200 between Jan 1, 2020 and Jan 25, 2020."
The latter provides a more realistic, practical and quantified input, using which one can take their own decisions about entering into a trade or not.
◐ What is the selection criteria for the stocks/ETFs/indexes to be picked for forecasting by QForecast.com?
No rocket science here - QForecast.com makes forecasts for the most actively traded stocks and ETFs, and for the most popular stock market indexes. To bring it down to precise details, the top stocks and ETFs in terms of highest daily traded volume are selected for making a forecast.
At present, QForecast.com is offering forecasts for 100 different U.S.-listed stocks and 100 different U.S.-listed exchange-traded funds (ETF). These were shortlisted as these securities ranked among those with the top trading volume during early December 2019. Similarly, QForecast.com currently covers seven different U.S.-based stock market indexes which include large-cap, mid-cap, small-cap, broad-level and the closely followed volatility index. In future, QForecast.com may expand the coverage of stocks, ETFs and indexes to include more U.S.-based securities, as well as those belonging to the other major financial powerhouse countries like the United Kingdom, Germany and Japan.
QForecast.com does not cover - and does not intend to cover - penny stocks at all. Our focus is only on providing prediction and forecasting details for the top-rated, highly liquid stocks where there is significant market activity and chances of price manipulation is nearly impossible.
◐ Why is this forecasting service free?
This forecasting service is growing, and is currently being offered for free to attract a sufficient number of traders and other audience. Our aim is to be build an online network of active traders and investors. At present, QForecast.com does not require any registration, email, phone number or any other personal or sensitive financial details from any of the site visitors. QForecast.com may make registration mandatory in future and may make this service chargeable in future, but there are no concrete plans yet. Enjoy the freebies!
QForecast.com also may explore introducing advertisements on the portal to pay for operating expenses and other costs in future.
◐ What factors and parameters are used to generate forecasts?
QForecast.com follows the KISS principle - Keep It Simple, Stupid!
The more complex a forecasting model, the worst result it leads to and it goes much heavier on maintaining it. Put other way, the simpler a forecasting model is, the easier it is to maintain and leads to more accurate results.
Some of the parameters which are used to determine the forecasting probability numbers include (but are not limited to) the long-term and short-term stock price movements, a small number of various technical analysis indicators, and market- or stock-specific developments like upcoming dividend payments, financial results and associated announcements. The combination is used to arrive at the magic number called "probability" (or chance) which indicates the confidence of a stock price or index value to achieve a particular target level.
While it is not possible for QForecast.com to reveal the "real juice" which is used to derive the forecasts (that's our intellectual property, right? :-), we can happily tell that the above mentioned inputs are collated together, run through extensive data-mining and analytical process to generate the meaningful and insightful numbers. In future, we may include more details about how we develop various scenarios to generate and identify high-, mid- and low-probability cases.
And no - QForecast.com does not use Machine Learning (ML) at all - NEVER!
While ML has become the buzzword during the last few years, markets are still being traded by humans, and not by robots. Quantitative analysis and data-driven approach is more than sufficient to capture and generate the future predictions of the market moves. Machines don't have sentiments, human traders and investors do. Machines cannot be taught to understand emotions, especially those going on in the stock markets! Hence, our methodology stops at quant analytics and data mining. A manual verification is also performed before forecasting details are published on QForecast.com, that's why the update time of present day forecasts varies every single day. Don't trust the machines (and their learnings) to do the job to perfection!
◐ What is the accuracy of forecasting predictions made by QForecast.com?
Along with offering price forecasts for the future, QForecast.com also offers a clear peek into the results of its past predictions. The past results page for each stock/ETF/index clearly indicates whether or not a particular projected target level was hit during the forecasting period, and if so which day it was hit first and what high or low level did the price was able to achieve during the forecasting period.
◐ How do we know that QForecast.com is not fudging up the forecasting numbers and showing high success on the result pages?
To ascertain the authenticity of stock market forecasts provided by QForecast.com, simply keep a record of the predictions made for your favorite stock/ETF/index as of today made for a future date or future time-period. Once the future date is passed, check the results page for the results published and see if the predictions made and the results published tally with the movements in the market.
For example, say QForecast.com gives a forecast on Friday, 06-Dec-2019 that there is a 74.34% probability that Apple Inc. (AAPL) will increase from Friday's closing price of $250 by 1% to $252.5 within next one week (Mon, 09-Dec-2019 to Fri, 13-Dec-2019). Keep a record of this forecast by copy-pasting it on your computer or mobile. (See the latest day's Forecast for Apple stock here)
Once the last date of prediction period (13-Dec) is passed, visit the Past Results page of Apple, and see if the initial prediction probability numbers are maintained or not, and whether the results achieved tally with the market moves of Apple stock.
One is free to select the stock/ETF/index, a prediction date, a target date/period of their choice anyday they want for verification. Please use the small search form provided on all of the pages (foreast pages as well as results page) to explore the various present, future and past forecasts made, and the results achieved.
To ensure transparency, QForecast.com maintains a six-month long record of all its predictions made and results achieved/missed. Data pertaining to forecasting and result which is more than six-months old is cleared from QForecast.com's records once in a month on a running basis. For instance, data and results of November-2019 will be cleared during June-2020.
◐ Why a new site on forecasting in stock market?
QForecast.com is taking a new approach to forecasting in the stock markets.
A lot of stock market forecasting and predictions are made through the various finance-based internet portals, mobile apps, and by market gurus who regularly or sporadically appear on business news channels like CNBC. However, most of the predictions provided simply state a target level (like, "Apple may hit $300") in a generic manner, or at the best they add a vague timeline (like, "Apple may hit $300 in short-term").
None of the forecasts and predictions made indicate how confident the predictor is about their stated target level being achieved, and over which time period. This missing information leads to a scenario of half-cooked inconclusive details to the traders and investors who find it difficult to make meaningful decisions for trading or investments.
For instance, everyone knows that Apple stock will go up by 2% sometimes or the other. But the question is - WHEN? Is the 2% upward move possible in next 2 days, in next 2 weeks, in next 1 month or in next 1 year? Additionally, if one claims that it is possible in X days/weeks, how confident he or she is to achieve that stated target?
QForecast.com attempts to fill such voids to make the forecasts a better proposition for common individuals who may be in for short-term active trading stint or for long-term investments.
QForecast.com adds a quantified probability value (a simple number, like 82.55%) and a clearly defined timeline (like from 06-Jan-2020 to 28-Feb-2020) for each stock's price predictions. Additionally, the predictions are provided over a range of target levels (half percent up/down from current levels, one percent up/down, ...., all the way to 20 percent up/down), offering a detailed insight to an individual about the overall price movement and timeline of the expected prediction.
For instance, the data presented in the tables puts the details in simple language as follows:
As of Tuesday, 10 December 2019, the stock of Apple Inc. closed at the price of $268.48.
Very High Probability of 85.81% that stock price will go UP by +1% to the target price level of minimum $271.16 from Wed, 11-Dec-2019 to Fri, 03-Jan-2020.
In the above forecast, the target price level is mentioned as $271.16 (or above), which is 1% higher than the closing price ($268.48) of the forecasting date (Tue, 10-Dec-19). The forecast also mentions that the target price level of $271.16 is expected to be achieved between Wed, 11-Dec-2019 and Fri, 03-Jan-2020. And finally, it contains the real icing on the cake, the confidence indicator probability figure of 85.81% that the mentioned target level will be achieved during the mentioned target period.
These details allow for a much better and informed decision to be made by the individual trader based upon the closing price of the stock on the forecast making day, instead of giving a random or generic price level.
◐ What does the probability number (like 85.81%) indicate?
While probability may appear complex, it is a very simple term (rather, a simple number) to understand and utilize. It lies between zero and 100. Think of it as a simple percentage figure - how much percentage a kid scored in his exams? The higher the number, the better the chances of the target level being achieved during the target prediction period.
For instance, if a trader is confident of getting into a trade only at a minimum 70% confidence level (probability), then he will definitely go for the above trade as the probability level is 85.81%. However, if there is another trader who likes to trade only when she sees a probability of 90% or higher, then she may not get into this trade. One can pick their own stock/ETF/index of choice, set their own minimum confidence levels (like 70% or 90% in the above cases), and then select the trades accordingly from the mentioned target price levels.
◐ How to utilize the information given by QForecast.com?
The data presented in the tables include multiple target price levels which the trader can pick and choose to best suit their needs.
Additionally, one can also look for a pattern across various target levels. For instance, there may be 92% probability of a stock moving up by +0.5%, 90% probability of stock moving up by +1%, 86% probability of stock moving up by +2%,....,....., and 56% probability of stock moving up by +20%. Since the figures may lead to a pattern across various target levels, a trader may gain more confidence of realizing the profits at their desired target levels depending upon his observation across the various target levels.
One may also look at data across several days. For instance, on 01-Dec, chance of Microsoft stock increasing by 1% may be 92%, one 02-Dec, it may reduce to 89%, ..., and so on. One can adjust their trading positions (add more or cut losses) depending upon how the probability figures are changing over time for a given price level.
QForecast.com gives one a wide set of choices to pick and choose the parameters that make the best fit for their own trading style.
◐ If a probability is showing as 50% or above, does it mean it will always be profitable?
No, not at all. Please don't trade blindly on numbers alone.
Remember, one cannot make profits always on every single trade they make. Many trades end in losses irrespective of what probability number it carries. It is completely unrealistic (rather foolish) to expect that all the trades one makes will result in profits. One needs to follow a proper trading method using which their profit-making trades are more than the loss-making trades to realize profits in the long run. Keep stop-losses on your own, and use them strictly.
If something is showing 99% probability of profits, remember that there is still the remaining 1% chance which can ruin the entire trade despite high probability forecast. No body can be sure which listed company may all of a sudden declare bankruptcy, which company's CEO is ousted for fraud, which company shuts down due to employee unrest, problems with a particular client/market, which scandal hits which company or overall sector, and which subprime crisis kills which bank and the overall financial sector and causes a global meltdown. Above all, its the responsibility of the user to cut the losses in time as market prices may make wide swings.
The indications provided here are solely for a usual (non-black swan) kind of market movement and are purely based on certain price movements and certain technical indicators. The combination of all such factors, with intensive data mining and quantitative analysis, results in scenarios which helps assign a probability number to each possible target level for a security.
QForecast is providing clear target levels with clearly defined timelines and confidence levels. Using the information is up to the individual users allowing them all the flexibility - decide their own stocks/ETF/index to trade on, decide which type of security (stocks, ETF, futures, options, or others) one wishes to trade on, decide and set their own stop-loss limits, select their own comfortable probability levels (like high probability frequent events with probability of 70%, 85% or 90%, or the low probability infrequent black swan events 25%, 40% or 45%). One may also add a holding period - like maximum 4 days to hold a long options position before the time-decay kicks in.
QForecast takes no responsibility for the trades one makes and the details provided are for information purpose only and subject to the user agreeing to the dislaimer listed below on this page. Anyone accessing and using this info should use it as per their own discretion, and QForecast cannot be held responsible for any profits or losses.
◐ Does this forecasting model takes care of extreme price moves (often called black swan events)?
Like any other stock price prediction model, the details provided here are based on certain assumptions which may or may not cover for extreme events (like a 15% decline or rise in a stock/ETF/index price). Anyone using this info should use it at their own discretion, and should have strict stop-losses implemented if the trade does not go as expected.
Remember, no trade is 100% fool-proof and full of profit guarantee. Even a prediction with 100% may fail. One need to cut his losses short if stop-loss level is hit. Trading is a game of booking the profits once the target price level is hit, and cutting the losses short once the stop-loss level is hit.
◐ Forecasts for half a percent target levels? Isn't that too low?
For players in the futures and options market, that half a percent move can lead to big profits (and losses). QForecast.com attempts to cover the entire spectrum - from half a percent to 20 percent, from next day's forecast to yearlong forecast. That way, all the variety of market participants are covered, and the site remains useful to all kinds of stock market players.
The active traders who trade frequently can make great deal of profit on that miniscule looking 0.5%. Say, you only make 0.5% profit on your trading capital per day. With around 230 trading days in a calendar year, your annual profit comes to 0.5% * 230 days = 115% per year. That is more than doubling your money, if done correctly! Now increase that 0.5% to 1% per day, the annual profits will shoot up to 1% * 230 days = 230%. That's more than tripling your money in a year, but (and its a big but) only if done correctly!
Active traders utilize these small percentage profits several times to make handsome overall profits. Of course, one needs to discount for brokerage and other charges but if done right it yields great returns over the longer run.
◐ What levels of stop-losses are recommended? Are there any trading models suggested?
QForecast.com simply provides the quantitative details of the forecasts, and has no advice on how an individual should trade. The information is being made available as a technical indicator. Using it is left to the individual at their own risk and discretion.
One can explore the Internet for suitable examples of keeping stop-losses and trading models. Here is one that was available in a very abstract form via a search engine result as of writing:
Make 10 trades of $100 each. Keep a profit target of 10% on each, and a stop-loss level of -10%. If you get 7 right and 3 wrong - that is - 7 out of 10 trades give you profit of 10% each and rest 3 give you loss of 10% each, then net realized = (+10%*7) + (-10%*3) = 40% total profit. Essentially, here you are utilizing the 70% probability (7 successes out of total 10 trades you make) - this is the probability QForecast.com provides.
In dollar terms, 10 trades of $100 each take the trading capital to $1,000. You make 10%*$100 on 7 trades = $70, and you lose (-10%)*$100 on 3 trades = -$30. Net return in dollars = $40 on trading capital of $1,000.
How does this result in percentage terms? Percentage calculations are always expressed on annual basis. Hence, it is important to take time into consideration.
If you can make this net $40 in a month-long trading, then with 12 months in a year your total annual profit comes to $40 * 12 = $480. Based on trading capital of $1,000, annual returns are 48%.
Similarly, if you can make this net $40 in a week-long trading, then with 52 weeks in a year your total profit comes to $40 * 52 = $2080. Based on trading capital of $1,000, annual returns are 208%.
Another example - say you make 100 trades of which 55 give you a profit of 10% each and rest 45 give you a loss of -10% each. Here, you are using 55% probability level which can be easily sourced from QForecast.com prediction. Net you make during your 100 trades = (+10% * 55 trades) + (-10%) *45 trades = 550 - 450 = 100% positive return. Despite having so many bad and loss-making trades (45), one can still reap profits over the long run if the profit making trades are marginally better (55), and stop losses and profit levels (-10% and +10% respectively) are strictly followed. Don't ever expect all trades to be profitable. Rather be realistic and expect positive returns to be realized over long term through multiple trades with probability numbers that QForecast.com provides.
However, its easier to quote such examples, than to make it work in the realistic stock markets. It takes effort, alertness, consistency and emotional control to book profits and losses. One is free to select any trading model, any stop-loss levels, any security to trade as per their own risk appetite and preferences. QForecast does not recommend anything, and takes no responsibility of any positive or negative outcomes of the thoughts and actions of the site visitors.
◐ Can we have an example of how one can use the information available on QForecast.com for trading?
First, select a probability benchmark value. Let's say you select the value of 70%. That means you will enter into a trading position if and only if the probability of a trade forecast is showing as 70% or above.
Second, browse the various stocks/ETFs/indexes webpages on QForecast.com to identify which of those are showing forecast probability of above 70%. From among those, shortlist which qualifying stocks/ETFs/indexes (that have probability of above 70% - your selected benchmark) you wish to trade on. Also note that you may need to finalize (or adjust) your time horizon, from 1 days 6 months, to shortlist the possible trades. Now you have your list of possible trades ready.
Third, see which of the shortlisted security is available around the mentioned previous closing price. Or set your trades at "Limit Price" which is around the mentioned Closing Price.
For example, if you visit the Forecast page of The Boeing Company and generate the forecasts made on prediction date 31Dec2019, your will observe that it mentions the closing price - "As of Tuesday, 31 December 2019, the stock of The Boeing Company closed at the price of $325.76." This forms the possible entry point for a trade.
Let's say you are looking for a price rise of 2% in Boeing stock. The first table, titled "Weekly Forecast for Boeing Stock" only shows 64.29% probability for a +0.5% increase in stock price, and 57.14% for a +1% increase in stock price. This neither meets your criteria of 70% probability, nor does it have any forecast for the 2% price rise. Hence, you need to leave "Weekly forecast" and move to next available time horizon, which is "Fortnightly Forecast for Boeing Stock" listed in the next section. In this fortnightly table, though +2% rise is covered, it has only a 52.38% probability which is below your decided probability of 70%. So let's move on to "Monthly Forecast for Boeing Stock". In this third section, you will notice that a probability of 75% is mentioned for a +2% rise "from Wed, 01-Jan-20 to Fri, 17-Jan-2020." This fits your selection criteria. So you can shortlist Boeing stock (in addition to many more) for the proper forecasting time-period (till 17Jan2020) and target level (+2%). Similarly, you should explore which other stocks/ETFs/indexes meet your set criteria and come up with the shortlisted ones.
◐ OK, I have shortlisted 6 stocks and 3 ETFs with 70% probability for 2% price rise. Now what next?
Rank the stocks/ETFs/indexes as per the highest probability, and select the top X as per your trading capital and affordability. For instance, you may have shortlisted 12 stocks, but you may have trading capital to take only 4 trading positions in stocks. So pick the top 4 which have the highest associated probability values from the list of 12 shortlisted.
Note the closing price which is also mentioned for those respective stocks/ETFs/indexes as of forecast date. In the above example of Boeing (BA), it was clearly mentioned - "As of Tuesday, 31 December 2019, the stock of The Boeing Company closed at the price of $325.76." Try to place the buy/sell order at or around this level for that particular stock. In this case, you may like to buy it around $325.76 (or in the range of $325.5 to $326). Then, you aim for an increase of around +2% in this stock price ("UP by +2% to the target level of $332.28" - as mentioned in the third table of monthly forecast) during the mentioned forecasting period ("from Wed, 01-Jan-20 to Fri, 17-Jan-2020.")
◐ Good, now how long should I hold this trading position(s) in a hope that my +2% target level will be hit?
The answer is already there in the forecasting period included in the table ("from Wed, 01-Jan-20 to Fri, 17-Jan-2020."). You have time till 17Jan2020 or earlier to exit your position, and you should exit as soon as one of the following cases is met:
(1) if the profit level of +2% ($332.28) is achieved
(2) if your stop-loss level (say, you set it at $320) gets hit OR
(3) if neither stop-loss not profit target is hit, and you are at the end of trading session on 17Jan2020.
So in summary, you shortlist the possibles on each day, try to purchase/short sell them at/around the given closing price of the forecasting day, if order gets executed then hold that position for the mentioned forecasting period, and exit based on profit/stop-loss/time-period condition being met.
◐ Why should I go for 70%, when there are possibilities of 95% available on QForecast.com?
The higher the probability, the lower its chances of occurance, and the more time you need to give to hold a trading position for the higher side (like 90%) probability levels.
For example, you may easily find a trade forecast with 70% or above probability that too within a forecasting period of a fortnight or a month. However, finding a trade forecast with 90% probability will be rare even over a month or a quarter. In essence, your trading remains limited, and spreads across longer periods of time for higher probability levels.
How does this impact profitability and net returns? Simple example, if you make net 1% profit each week with 70% probability, then for around 52 weeks in a year it comes to 1% * 52 weeks = 52% returns. However, if you aim for the safe heaven 90% probability trades with the same 1% profit level, you may need to wait for at least a month to get realistic returns. Even if you achieve the desired results, your annual profits will be 1% * 12 months = 12% only.
Essentially, you need to decide and take a balanced approach as your annual profits (or losses) will matter, not the probaility forecast percentage, or the target levels. Explore the various stocks/ETFs/indexes on Qforecast.com and try to observe and note the probabilities of each to find the best fit for yourself.
◐ On which days QForecast.com makes and publishes predictions?
QForecast.com makes and publishes predictions at the end of every single trading day when the stock market is open. That means readers will have new predictions every day from Monday to Friday, barring holidays.
Predictions are published AFTER midnight EST time (early morning of the next day), as that ensures the availability of all required figures like closing price, other market developments and associated announcements. For instance, predictions will be published on Friday 20-Dec around 01:00 AM EST which will be based on the closing price and other numbers of Thursday, 19-Dec (Forecast Date), and will cover forecasting over the period from Friday, 20-Dec onwards (Target Period).
Similarly, predictions will be published anytime over the weekend which will be based on Friday's closing prices, and will be for prediction period Monday to Friday, and onwards.
However, due to operational constraints, technical issues and reasons beyond our control, QForecast.com may (be forced to) skip publishing of the predictions on a few days, or may publsih them later. QForecast.com makes no commitment to publish the predictions by a particular date or time.
◐ Why does QForecast.com wait on closing of the market and uses only "Close Price"?
Any price forecast needs to be based on a reference price marker. The closing price of the day serves as that reference. Without having such a reference, it is not possible to determine the target levels which are based on percentage terms (+0.5%, -0.5%, +1%, -2%, and so on). So +1% of "what value"? These percentage based target levels are calculated on the closing price of the stock/ETF/index. For instance, if XYZ stock closes at $100 today, then its +1% target will be $101, -2% target will be $98 and so on, and the forecast period will begin from next business day onward.
Then why can't QForecast.com use the Open price (instead of close price) to make the calculations, because that will also help active traders in intra-day trading?
That argument is correct. However, open price may be very volatile, and at times it may be a result of impulsive reaction by only a handful of traders of a stock. As compared to open, high and low prices, the closing price is the most stable and reliable measure to serve as the reference point for the (next) day. All business reporting and valuations are done based on the closing price only. Hence, QForecast.com has decided to follow the standard. Additionally, at the close of market, closing price is the latest price available which allows a lot of time till the next price (open price of the next day) is available. Since QForecast.com's methodology is data- and calculation-intensive, producing the forecasts after market close based on the latest available closing price gives us sufficient time to generate forecasts, verify the output, do the necessary error-checking if any, and then publish the forecasts for next day onward. It also allows the traders and investors early head start for the day.
◐ How does QForecast.com decide the target prediction period?
QForecast.com keeps all the prediction periods ending on a Friday (or the previous business day if Friday is a holiday). Reason is to match the prediction period end-dates to the expiry dates of various futures, options and other derivative products. Additionally, most individual stock and ETF traders may also like to clear their positions on a Friday before heading for the weekend which makes for Friday as the choice of prediction period's end-date.
The minimum duration of forecast is 1 business day and maximum duration can span a little over a year. For example, at the end of Thursday 12-Dec-2019, forecast will be provided for Friday 13-Dec-2019 (1-day), till Friday 20-Dec-2019 (8-days period), and till four more next Fridays making it a total of SIX next Fridays (till 17-Jan-2020). Additionally, a three-monthly, a six-monthly, and a one-year long forecast is also provided taking the total of NINE period forecasts being published each business day.
Similarly, at the end of Monday 09-Dec-19, forecast will be provided for Friday 13-Dec-2019 (4-days), till Friday 20-Dec-2019 (11-days period), and so on. Please see the "Search Form" provided at the top of every page for the available forecast dates and target dates/period:
However, please note that forecasts for more than 6 months (180 days) don't change every day owing to the long duration. Hence, any new forecasts for more than 6 months are published only on Fridays (that is, during the weekends) and gets repeated on other weekdays. Rests of the SEVEN forecasts are published daily on all business days.
QForecast.com does NOT provide any intra-day forecasts at present.
◐ What other services are offered by QForecast.com?
Absolutely nothing additional!
All that QForecast.com offers is available on this web-portal, and remains limited to providing forecasts for the future dates and the past results for the forecasts made in the past. It is not possible to trade using QForecast.com website.
QForecast.com does not sell any trading or other software, does not provide or sell any mobile apps, does not conduct any training, seminars or lectures to make you "the expert trader", and is not involved in any other market-related activities. WYSIWYG - What you see on this website is what you get (for free, for now!)
◐ Other than the website, does QForecast.com has any other means of communication like text, email, app, etc. where users can get the forecast?
QForecast.com exists only as a website and nothing else. QForecast.com does NOT offer any email, newletter, mobile app, mobile text messages (SMS), or any other forms of notifications to any individual. The individual user MUST visit the QForecast.com website to receive the forecast probability and other numbers.
If someone is using any other means of communication (other than info published on this website) to convey stock tips, recommendations or any other offers/content, then they are not associated with QForecast.com at all. Users of QForecast.com are advised to stay away from such notifications/messaging/communication as they may be a possible deceit, foregery or scam.
Please check figures only on QForecast.com website by accessing it through a standard web browser using the URL https://qforecast.com/
◐ What data does QForecast.com collects from its website visitors?
QForecast.com uses the standard Google Analytics to check the basic details about its users like city, country, browser, PC/mobile, most visited pages of the QForecast website, etc. For more, one may visit https://analytics.google.com.
At present, QForecast.com does not request or collect any payments or any other financial or personal data from any of its site visitors. QForecast.com does not ask for any personal or sensitive information of its site visitors, and there are no paid services being offered. This service remains fully free of cost for all of its visitors.
By visiting this QForecast.com site and exploring its contents, you agree to the following disclaimer. In case you do not accept/agree with the following, please do not use/reference the site and its content and exit this site immediately.
The opinions expressed on the web-site QForecast.com (site) are for general informational purposes only and are not intended to provide specific advice or recommendations for any specific security or investment/trading product. It is only intended to provide education about the financial industry, and how the technical indicators, price movements and several of their combinations can be used to come up with price movement forecasts and their associated probabilities. The views reflected in the site content are subject to change at any time without notice. This site cannot access or assess any personal circumstances, finances, goals and/or objectives of the site users/visitors as these parameters are unique to each individual user. If one is intending to use the site and its content for any purpose, they agree to do so at their own discretion without any responsibilities attributed to this site, to its content and/or to its creators. This site is only a medium to publish the outcome of a mathematical, quantitative and analytical model.
QForecast.com is not an advisory service. The numbers presented are based on a mixture of technical analysis and are prone to errors and omissions and to varying levels of market moves which cannot be controlled by anyone. The given target levels may or may not be achieved at all even with high probability numbers. Users agree to use the available details only for their own understanding and at their own risk. QForecast.com or any of the individuals associated with it will not and cannot be held responsible for any profits/losses/damages arising as a result of the website user/visitor using the site information which they agree to use in their own manner, at their own discretion and at their own risk. QForecast.com or any of the individuals associated with it assume no liability of whatever nature, financial or other, based on the investment decisions a website user takes and the results achieved following the information given on this site. By taking action, the site user/visitor must rely on their independent examination, evaluation and judgement of the information presented on this site. Past performance of recommendations/comments on this site content is not an indication of potential future performance.
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