Binary Options Technical Analysis - Weekly Forecast

Global Stock Watch

Every day over $3Billion of trades are executed on the 9 major stock markets. 300+ millionaires are made each day in China and Hong Kong. Why focus only on NYSE & NASDAQ? If you need current news, due diligence, and what the IR people never want you to see, welcome. We welcome full disclosure here within the rules of Reddit. Opinions are welcomed but hard facts are treasured as timely blessings. Share what you know, not what you guess.
[link]

Trade Forecast Review - is this Binary Options AutoTrader Profitable? Check out my objective review

submitted by JonathanQ11 to binaryoption [link] [comments]

No gods, no kings, only NOPE - or divining the future with options flows. [Part 2: A Random Walk and Price Decoherence]

tl;dr -
1) Stock prices move continuously because different market participants end up having different ideas of the future value of a stock.
2) This difference in valuations is part of the reason we have volatility.
3) IV crush happens as a consequence of future possibilities being extinguished at a binary catalyst like earnings very rapidly, as opposed to the normal slow way.
I promise I'm getting to the good parts, but I'm also writing these as a guidebook which I can use later so people never have to talk to me again.
In this part I'm going to start veering a bit into the speculation territory (e.g. ideas I believe or have investigated, but aren't necessary well known) but I'm going to make sure those sections are properly marked as speculative (and you can feel free to ignore/dismiss them). Marked as [Lily's Speculation].
As some commenters have pointed out in prior posts, I do not have formal training in mathematical finance/finance (my background is computer science, discrete math, and biology), so often times I may use terms that I've invented which have analogous/existing terms (e.g. the law of surprise is actually the first law of asset pricing applied to derivatives under risk neutral measure, but I didn't know that until I read the papers later). If I mention something wrong, please do feel free to either PM me (not chat) or post a comment, and we can discuss/I can correct it! As always, buyer beware.
This is the first section also where you do need to be familiar with the topics I've previously discussed, which I'll add links to shortly (my previous posts:
1) https://www.reddit.com/thecorporation/comments/jck2q6/no_gods_no_kings_only_nope_or_divining_the_future/
2) https://www.reddit.com/thecorporation/comments/jbzzq4/why_options_trading_sucks_or_the_law_of_surprise/
---
A Random Walk Down Bankruptcy
A lot of us have probably seen the term random walk, maybe in the context of A Random Walk Down Wall Street, which seems like a great book I'll add to my list of things to read once I figure out how to control my ADD. It seems obvious, then, what a random walk means - when something is moving, it basically means that the next move is random. So if my stock price is $1 and I can move in $0.01 increments, if the stock price is truly randomly walking, there should be roughly a 50% chance it moves up in the next second (to $1.01) or down (to $0.99).
If you've traded for more than a hot minute, this concept should seem obvious, because especially on the intraday, it usually isn't clear why price moves the way it does (despite what chartists want to believe, and I'm sure a ton of people in the comments will tell me why fettucini lines and Batman doji tell them things). For a simple example, we can look at SPY's chart from Friday, Oct 16, 2020:

https://preview.redd.it/jgg3kup9dpt51.png?width=1368&format=png&auto=webp&s=bf8e08402ccef20832c96203126b60c23277ccc2
I'm sure again 7 different people can tell me 7 different things about why the chart shape looks the way it does, or how if I delve deeply enough into it I can find out which man I'm going to marry in 2024, but to a rationalist it isn't exactly apparent at why SPY's price declined from 349 to ~348.5 at around 12:30 PM, or why it picked up until about 3 PM and then went into precipitous decline (although I do have theories why it declined EOD, but that's for another post).
An extremely clever or bored reader from my previous posts could say, "Is this the price formation you mentioned in the law of surprise post?" and the answer is yes. If we relate it back to the individual buyer or seller, we can explain the concept of a stock price's random walk as such:
Most market participants have an idea of an asset's true value (an idealized concept of what an asset is actually worth), which they can derive using models or possibly enough brain damage. However, an asset's value at any given time is not worth one value (usually*), but a spectrum of possible values, usually representing what the asset should be worth in the future. A naive way we can represent this without delving into to much math (because let's face it, most of us fucking hate math) is:
Current value of an asset = sum over all (future possible value multiplied by the likelihood of that value)
In actuality, most models aren't that simple, but it does generalize to a ton of more complicated models which you need more than 7th grade math to understand (Black-Scholes, DCF, blah blah blah).
While in many cases the first term - future possible value - is well defined (Tesla is worth exactly $420.69 billion in 2021, and maybe we all can agree on that by looking at car sales and Musk tweets), where it gets more interesting is the second term - the likelihood of that value occurring. [In actuality, the price of a stock for instance is way more complicated, because a stock can be sold at any point in the future (versus in my example, just the value in 2021), and needs to account for all values of Tesla at any given point in the future.]
How do we estimate the second term - the likelihood of that value occurring? For this class, it actually doesn't matter, because the key concept is this idea: even with all market participants having the same information, we do anticipate that every participant will have a slightly different view of future likelihoods. Why is that? There's many reasons. Some participants may undervalue risk (aka WSB FD/yolos) and therefore weight probabilities of gaining lots of money much more heavily than going bankrupt. Some participants may have alternative data which improves their understanding of what the future values should be, therefore letting them see opportunity. Some participants might overvalue liquidity, and just want to GTFO and thereby accept a haircut on their asset's value to quickly unload it (especially in markets with low liquidity). Some participants may just be yoloing and not even know what Fastly does before putting their account all in weekly puts (god bless you).
In the end, it doesn't matter either the why, but the what: because of these diverging interpretations, over time, we can expect the price of an asset to drift from the current value even with no new information added. In most cases, the calculations that market participants use (which I will, as a Lily-ism, call the future expected payoff function, or FEPF) ends up being quite similar in aggregate, and this is why asset prices likely tend to move slightly up and down for no reason (or rather, this is one interpretation of why).
At this point, I expect the 20% of you who know what I'm talking about or have a finance background to say, "Oh but blah blah efficient market hypothesis contradicts random walk blah blah blah" and you're correct, but it also legitimately doesn't matter here. In the long run, stock prices are clearly not a random walk, because a stock's value is obviously tied to the company's fundamentals (knock on wood I don't regret saying this in the 2020s). However, intraday, in the absence of new, public information, it becomes a close enough approximation.
Also, some of you might wonder what happens when the future expected payoff function (FEPF) I mentioned before ends up wildly diverging for a stock between participants. This could happen because all of us try to short Nikola because it's quite obviously a joke (so our FEPF for Nikola could, let's say, be 0), while the 20 or so remaining bagholders at NikolaCorporation decide that their FEPF of Nikola is $10,000,000 a share). One of the interesting things which intuitively makes sense, is for nearly all stocks, the amount of divergence among market participants in their FEPF increases substantially as you get farther into the future.
This intuitively makes sense, even if you've already quit trying to understand what I'm saying. It's quite easy to say, if at 12:51 PM SPY is worth 350.21 that likely at 12:52 PM SPY will be worth 350.10 or 350.30 in all likelihood. Obviously there are cases this doesn't hold, but more likely than not, prices tend to follow each other, and don't gap up/down hard intraday. However, what if I asked you - given SPY is worth 350.21 at 12:51 PM today, what will it be worth in 2022?
Many people will then try to half ass some DD about interest rates and Trump fleeing to Ecuador to value SPY at 150, while others will assume bull markets will continue indefinitely and SPY will obviously be 7000 by then. The truth is -- no one actually knows, because if you did, you wouldn't be reading a reddit post on this at 2 AM in your jammies.
In fact, if you could somehow figure out the FEPF of all market participants at any given time, assuming no new information occurs, you should be able to roughly predict the true value of an asset infinitely far into the future (hint: this doesn't exactly hold, but again don't @ me).
Now if you do have a finance background, I expect gears will have clicked for some of you, and you may see strong analogies between the FEPF divergence I mentioned, and a concept we're all at least partially familiar with - volatility.
Volatility and Price Decoherence ("IV Crush")
Volatility, just like the Greeks, isn't exactly a real thing. Most of us have some familiarity with implied volatility on options, mostly when we get IV crushed the first time and realize we just lost $3000 on Tesla calls.
If we assume that the current price should represent the weighted likelihoods of all future prices (the random walk), volatility implies the following two things:
  1. Volatility reflects the uncertainty of the current price
  2. Volatility reflects the uncertainty of the future price for every point in the future where the asset has value (up to expiry for options)
[Ignore this section if you aren't pedantic] There's obviously more complex mathematics, because I'm sure some of you will argue in the comments that IV doesn't go up monotonically as option expiry date goes longer and longer into the future, and you're correct (this is because asset pricing reflects drift rate and other factors, as well as certain assets like the VIX end up having cost of carry).
Volatility in options is interesting as well, because in actuality, it isn't something that can be exactly computed -- it arises as a plug between the idealized value of an option (the modeled price) and the real, market value of an option (the spot price). Additionally, because the makeup of market participants in an asset's market changes over time, and new information also comes in (thereby increasing likelihood of some possibilities and reducing it for others), volatility does not remain constant over time, either.
Conceptually, volatility also is pretty easy to understand. But what about our friend, IV crush? I'm sure some of you have bought options to play events, the most common one being earnings reports, which happen quarterly for every company due to regulations. For the more savvy, you might know of expected move, which is a calculation that uses the volatility (and therefore price) increase of at-the-money options about a month out to calculate how much the options market forecasts the underlying stock price to move as a response to ER.
Binary Catalyst Events and Price Decoherence
Remember what I said about price formation being a gradual, continuous process? In the face of special circumstances, in particularly binary catalyst events - events where the outcome is one of two choices, good (1) or bad (0) - the gradual part gets thrown out the window. Earnings in particular is a common and notable case of a binary event, because the price will go down (assuming the company did not meet the market's expectations) or up (assuming the company exceeded the market's expectations) (it will rarely stay flat, so I'm not going to address that case).
Earnings especially is interesting, because unlike other catalytic events, they're pre-scheduled (so the whole market expects them at a certain date/time) and usually have publicly released pre-estimations (guidance, analyst predictions). This separates them from other binary catalysts (e.g. FSLY dipping 30% on guidance update) because the market has ample time to anticipate the event, and participants therefore have time to speculate and hedge on the event.
In most binary catalyst events, we see rapid fluctuations in price, usually called a gap up or gap down, which is caused by participants rapidly intaking new information and changing their FEPF accordingly. This is for the most part an anticipated adjustment to the FEPF based on the expectation that earnings is a Very Big Deal (TM), and is the reason why volatility and therefore option premiums increase so dramatically before earnings.
What makes earnings so interesting in particular is the dramatic effect it can have on all market participants FEPF, as opposed to let's say a Trump tweet, or more people dying of coronavirus. In lots of cases, especially the FEPF of the short term (3-6 months) rapidly changes in response to updated guidance about a company, causing large portions of the future possibility spectrum to rapidly and spectacularly go to zero. In an instant, your Tesla 10/30 800Cs go from "some value" to "not worth the electrons they're printed on".
[Lily's Speculation] This phenomena, I like to call price decoherence, mostly as an analogy to quantum mechanical processes which produce similar results (the collapse of a wavefunction on observation). Price decoherence occurs at a widespread but minor scale continuously, which we normally call price formation (and explains portions of the random walk derivation explained above), but hits a special limit in the face of binary catalyst events, as in an instant rapid portions of the future expected payoff function are extinguished, versus a more gradual process which occurs over time (as an option nears expiration).
Price decoherence, mathematically, ends up being a more generalizable case of the phenomenon we all love to hate - IV crush. Price decoherence during earnings collapses the future expected payoff function of a ticker, leading large portions of the option chain to be effectively worthless (IV crush). It has interesting implications, especially in the case of hedged option sellers, our dear Market Makers. This is because given the expectation that they maintain delta-gamma neutral, and now many of the options they have written are now worthless and have 0 delta, what do they now have to do?
They have to unwind.
[/Lily's Speculation]
- Lily
submitted by the_lilypad to thecorporation [link] [comments]

A proposal to eliminate the spread of COVID-19 in Ireland

This is a long one. There is no TL;DR, but Google tells me it should take about 10 minutes to read. Or, you can skip to The Plan - Summary if you want the bullet points.
But why should you give this any time at all?
My background is in data analysis. Making sense of numbers is what I do for a living. I have been studying COVID-19 since I was locked down in March and the experience has been frustrating in equal measure. The difference between what was happening on the ground, and the story that the media told was genuinely alarming. The government / NPHET never even tried to stop the virus getting into the country, and no one held them to account for their (non)decisions. The disastrous consequences are all around us, and much of it was preventable.
Six months later, and the country has barely moved on. The ‘experts’ have no goals and little control over the virus. The media frame every issue as a crass binary choice between more or less restrictions and are otherwise happy just to have people to point their fingers at. The government / NPHET has nothing to offer the people, other than admonishments to do better and repeated cycle of restrictions.
Meanwhile students, artists, the over 70s, small business owners, the entire events and hospitality industries, and regular people who cannot WFH have been left swinging in the wind. Some have been evicted, others are relying on drugs to get by. This situation is not just a problem for one or two parts of our society: this is a widespread degradation of our quality of life. If I can do anything to help, I feel obliged to try.

Context
As I see it, we have three choices:
I won’t argue over technocratic definitions like ‘elimination’, ‘eradication’ or ‘suppression’. These distinctions are semantic in an environment of oppressive civic restrictions, mass unemployment, waves of business closures, and general misery. Whatever gets us to a place where we can live our lives as normal (or close enough), and the public health infrastructure can take care of the virus, that’s what I’m aiming for.
This proposal cannot work without public support. No proposal can work without public support. Public adherence is the single most important variable in the equation, yet it is the one that the politicians and the media and the ‘experts’ have ignored. FG burned through a lot of goodwill in the first lockdown (and money, and resources, and lives…). Instead of vilifying people who aren’t adhering to the rules, policymakers need to recognise the sacrifices that the people made (which were subsequently squandered) and they need to earn that trust back.
This proposal cannot work without support from the North. That doesn’t mean that we need to convince them to adopt our plan. It means we need to convince them that the goal is worthwhile and achievable. From there we can work together to coordinate our policies. Managing our own affairs with competence, would be a good start. Picking up the phone to talk to them, instead of trying to browbeat them through the media, would also help.
Irrespective of your goals or beliefs, some facts are certain: there will be lockdowns, there will be government spending to support the economy, and the virus will demand public health resources. All of that will happen in the coming months and years, whether we have a plan or not. The question is whether those resources are used to solve the problem, or whether they are wasted on a plan that keeps us going around in circles.
So yes, there will be lockdowns in this proposal, but they will not be FG lockdowns i.e. lock them down and throw away the key. Through intelligent policies and a greater mobilisation of resources, we can do so much more with our lockdowns to reduce the burden on the people and make their experience more tolerable. Indeed, that trade-off always exists in public policy: better policymaking = happier people. Which is why the politicians usually get the blame, and rightly so.
We need to move to a more ‘war time’ mindset. Not because we need a shared enemy to unite us, but because we need to mobilise every possible resource at our disposal and focus it on the single most important issue affecting us all. We need more tests, we need vehicles for mobile testing units, we need facilities for quarantines. Wherever there is spare capacity, we need to find a way to put it to good use. We need to take most of the power away from the narrow-minded medics, and get the rest of our society and our civic infrastructure involved in planning e.g. community representatives, legal experts, business leaders, An Garda, the army etc.
People want to invest in their communities, they want to help their friends and neighbours. There are people all over the country who would rather be volunteering as part of a national plan to get rid of COVID-19, than to be sitting at home on the PUP, going crazy listening to the ‘experts’ – who failed to prevent this – talk about more lockdowns. We need to harness that latent energy and build it into the plan.
One of the most important factors that is within our control, is the degree to which policymakers communicate with the people. And I mean real communication, not press releases or attention-seeking speeches from the other side of the world. We need to talk to the people, listen to them, answer their questions, take their feedback on board. The people aren’t stupid. They know a good plan when they see it – which is why few are paying attention to the ‘Living With The Virus’ stuff – and they have valuable information that can help make that plan work.
Underlying these points is a need to create intelligent rules, and to enforce them strictly. Strict does not mean harsh. Strict enforcement is not authoritarianism, and it is not an invitation to a fight; it is simply administrative competence. In the context of a contagious outbreak, administrative competence is the difference between life and death.
I’ll finish this section with the caveat that all parameters are suggestions or placeholders. The exact numbers will depend on resources, on more data and further analysis, and on input from communities and other stakeholders – all of which is within our control.

The Plan – Summary
Like any problem in life, if you can’t solve it directly, you break it down into smaller, less complex parts.
Instead of putting the whole country into lockdown and trying to eradicate the virus from the whole island at the same time – a miserable experience for all – we should go county by county until the job is done. We seal off a county, flood it with resources, clear it of COVID-19, and then let it reopen as normal. We repeat the process for neighbouring counties and then combine them when they are cleared, to create a larger ‘Cleared Zone’. The process continues and the Cleared Zone keeps growing until it covers the whole island.
This approach allows us to focus our resources on one area at a time (nurses, doctors, tests, volunteers etc) instead of spreading them over the whole country. We can be more comprehensive in our testing and quarantining measures, and more confident in our plans. Short, sharp, strict lockdowns work best.
By maximising the ratio of resources to population, we also lower the burden on the people. In particular, we minimise the amount of time that people spend in lockdown, and the less time they spend in lockdown, the more likely the plan is to work.
This structured approach also makes it easier for us to measure our progress and make reliable forecasts. We can allocate our resources more efficiently and plan our responses more effectively. Observers can watch our progress and judge for themselves whether it is a good idea (i.e. politicians in the North and / or protestors in Dublin).
Perhaps most important of all, the structure makes it easier to explain the idea to the people and get buy-in before anything happens. We can outline the plan, explain how it works, explain how it compares to the alternatives, and then give them realistic estimates of what would be required and how long it would take. Then we can hear their feedback and take the conversation and planning from there.
I have heard any people talking about elimination and ZeroCovid, but do any of them have a plan for getting to zero? Or a plan to get the people on board?
Step 1: More structure and responsibility from leaders
Step 2: Less uncertainty, easier decisions, better outcomes, less stress for everyone
Step 3: Profit. Elimination.

The Plan – Implementation
We isolate a county and lock it down for an initial 3 weeks. An Garda man the county borders. They are supported by the army, who provide boots on the ground so that An Garda aren’t stretched. Most routes are closed off so that all essential travel goes through a few well-manned checkpoints. If we do a good job with planning and communication, there won’t be much work to do.
We test systemically high-risk households and high-risk individuals early and often i.e. large households and essential workers. With help from local volunteers, medics screen as many people as possible every day. We use multiple measures and repeated applications to improve the quality of our results. We want to identify and remove cases at the earliest possible point, both to reduce the chance of further infection, and to protect the individual’s health.
Low risk confirmed cases (young / healthy) go to a safe and comfortable quarantine. Local hotels and guest houses could be used, ideally before we invest in building quarantine facilities. Local taxis, kitted out with extra protective equipment, could take them there. High risk confirmed cases (older / comorbidities) go by ambulance to local medical facilities as required.
During this period, we work with local politicians, community leaders, residence associations etc to ensure that everyone is looked after (in reality, these conversations will have started weeks before). We get our neighbourhoods communicating, looking out for each other, making sure they’ve got enough food or heating or whatever else they need. Local volunteers and taxi drivers can do odd jobs like sending packages, collecting prescriptions, lifting heavy stuff, or just checking in on people. If it is feasible, we can even invite local artists to play gigs for people in their streets or apartments.
Towards the end of the second week, we begin a mass testing program with the ultimate goal of testing every person in the county (scale depends on resources). Once we have completed the tests and cleared the confirmed cases into quarantine, we can begin a slow, staggered opening process. We must be especially conservative at this point to ensure no slippage.
When one county is clear, we move to the next one, and repeat the process. When we have cleared two bordering counties, we can join them together in a bigger Cleared Zone and the process continues from there. Eventually the Cleared Zone covers the whole country, except Dublin (or more realistically, the Pale).
What would the other counties do while they wait for their turn? I’m assuming that, they would be doing whatever the ‘Living With The Virus’ plan dictates. This proposal succeeds in line with what happens in the sealed off zones, so I am more concerned with them. However, it would speed up the process if the bordering counties could be encouraged to get a head start. If the plan is going successfully, I’m confident they would.
With its population density and its complexity, Dublin / the Pale will be the last county to be cleared. However, given that every other county would be cleared by that point, and with so much effort having been put in, it might make more sense just to burn Dublin down. We could go with a concrete mausoleum as per Chernobyl, but it might be easier and quicker if we just raised the city and started from scratch. The country needs to rebalance, so it’d be two birds with one stone.
Or maybe we call that plan B. Dublin’s plan A would follow the same principles as for the rest of the country. Break it into smaller parts, focus resources on one area at a time, use layers of risk measures where precision isn’t an option, and get cases as early as possible, using whatever resources available. By that stage the rest of the country would be clear and the demand for medical resources low. We would have learned a lot along the way, and we would have plenty of ammo to throw at the problem.
In general, the more resources we have, the faster we can move. The county by county approach that I have outlined above is too slow. With greater resources, we can increase the number of counties that are being cleared at any one time. One option is to work by province. Another would be to define the zones with respect to observed travel routes, in order to reduce the risk of leakage and reduce the inconvenience on local communities.
At the end of the day, lines have to be drawn somewhere, and some people will inevitably lose out. The better we communicate with people in advance, the lower the burden on the people and the more of these problems we can avoid.
Following on from that, one of the skills we need to take from this crisis is the ability to isolate and quarantine regions. Whether it is a city, a town, a county, a specific building, or even the entire country, we need to be able to seal it off and control movement in and out. This is an essential tool for outbreak management – whatever the outbreak and whatever the disease.
The same goes for individuals. We need to be able to create and operate safe, comfortable, and effective quarantines, and to do so at short notice. It should be a matter of national embarrassment that FG and NPHET couldn’t even organise a quarantine in a pandemic.
The whole process might take 3 to 4 months. That means we would have cut off all non-essential air travel for that time, but it doesn’t mean the whole country is in lockdown for 3 or 4 months. The lockdown is staggered, and the individual’s experience will depend on their location and their place in the ‘queue’.
The first group of counties to go into lockdown will also be the first to come out. Once they have eliminated the spread of the virus, they will return to a normal, although somewhat isolated, society. The experience steadily improves as more and more counties join them in the Cleared Zone (or steadily deteriorates, depending on your county pride).
While the first group is in lockdown, the rest of the country continues as normal i.e. living with the virus. Everyone watches as the first group goes through its lockdown (just think of the #banter). Several weeks later, as the first group is opening up, the second group is preparing to go in to lockdown. As the second group comes out, the third group goes in etc etc and the staggered lockdowns roll like a wave across the country.
Every county goes from Living With The Virus -> intelligent lockdown (needs a better name) -> Cleared Zone. The earlier you are in the queue, the less time you spend Living With The Virus and the more time you spend in the Cleared Zone. The individual would only be in a strict lockdown for a matter of weeks, maybe 3-6 depending on the complexity of the region and the resources available. For counties with smaller populations that have shown that they can do a good lockdown, it will be quicker. For Dublin, it will be slower.

Strengths
I think this proposal has a lot of strengths. It’s a plan, for a start. We haven’t had a plan since this thing began (the FG lockdown wasn’t a plan – it was the inevitable consequence of not having a plan). The leaders take more responsibility to lower the burden on the people, it mobilises idle resources, and it fosters communication and community across the country.
These are three strengths that I want to emphasise.
1 It provides clarity
This might be the most important point.
Uncertainty is painful. Uncertainty is a cost. Even if the bad thing is unlikely to happen, just the fact that it is a risk, or that it could happen means that you live with a cloud over your head. Suffering is bad enough on its own, but suffering for an unknown length of time is torture. And if that period is determined at the whim of a politician or an ‘expert’, that is a recipe for society-wide anger and even civil disorder.
With this proposal, we can forecast the length of the period of lockdown with greater accuracy. The people will be able to understand what is being asked of them. We can make plans around resources required versus those available. The economists can make forecasts. Businesses can plan their finances. The people can plan their weddings, book their holidays, get back to training, sign up for courses, and have things to look forward to.
At the end of the day, any successful proposal must remove the uncertainty and provide meaningful clarity to households and businesses.
2 Never let a crisis go to waste
This plan will require tools and capabilities like rapid local testing, safe quarantines, rapid isolation of towns and regions, emergency decision-making frameworks etc. If we don’t have a capability, then we need to build it. When people say ‘never let a crisis go to waste’ this is what they mean: you build the tools in the crisis that will help you protect yourself from the next one.
Nature works the same way. You lift weights until the muscle fibres tear, then they grow back stronger. We build aerobic endurance by pushing ourselves to a limit, then our body naturally reacts to increase the limit. A vaccine works similarly by stimulating antibodies for the disease. Well, we need a civic emergency vaccine for Ireland. These tools are the antibodies that will protect us next time. The sooner we build them, the better. Now is the time, not later.
3 It's the only way we can protect the economy
The risk to the economy isn’t the next few months of revenue. We can borrow to cover lost income in the short run. The real risk is a wave of defaults that precipitates a financial crisis.
As more individuals and businesses are put under financial pressure, more borrowers will default on their debts. But one man’s debt is another man’s asset, so as the borrowers default, the lender’s financial situation also deteriorates. Defaults are contagious, and if a wave of defaults threatens a major lender, the entire financial system will be at risk.
Only an elimination plan can protect the economy. Along with the virus and the uncertainty it creates, we need to eliminate the risk of financial contagion.

Weaknesses
Could ya be arsed

The End Goal
Think about what’s on the other side of this…
This is a massive challenge – the kind that defines a nation. However you think of your community, this would give you something to be proud of for generations. It would be like Italia ’90, except 10 times bigger, because we would be the players, we would be the ones making it happen.
We’d become the first country in Europe to eliminate the virus. And of all the countries in the world, we’d be doing it from the largest deficit too. Those Taiwanese and Kiwis made it easy for themselves with their preparation and their travel restrictions and their competent leaders. Our challenge is much greater than theirs, but they show us what is possible.
Have you ever wanted to scoff at the Germans for being disorganised? Wouldn’t you love to have a reason to mock the Danes? Aren’t you sick of hearing about New Zealand? Let’s make the Kiwis sick of hearing about the Irish!
If we take this challenge on, the world’s media will be on us. The FT, the Economist, the NYT, the Guardian, Monacle, Wired, the New Scientist, China Daily, RT, Good Housekeeping, Horse and Hound, PornHub… all of these international media empires would be tracking our progress, interviewing key people, reporting daily, willing us on. The world is desperate for good news, and we can be the ones to give it to them.
We would become a model for other nations to follow. They would take the Irish model and adapt it to their own situation. Instead of us copying other nations, they would be copying us. Instead of a pat on the head for the diddy little Irish fellas, we would be literally LEADING THE WORLD.
Back at home, we get our lives back, and society can breathe again, free of restrictions. The over 70s come out of hibernation. The students go back to university. The protests stop because people go back to work and we announce an inquiry into what exactly happened in February and March. The pubs go back to being pubs. Our hospitality industry is taken off life support. The tidal wave of bankruptcies is avoided. We can play sport and celebrate the wins. We stop talking about things we can or can't do. Just imagine that first session... And imagine how good it would feel knowing that you had worked for it, and knowing that you had set the nation on a better path for generations to come...
I think it’s worth a lash! Don’t you?
submitted by 4SMD1MCW to ireland [link] [comments]

Examination of Volatility in 2016

Disclaimer: See the note explaining the volatility figures in the comments.
There’s been a bit of talk about market volatility leading up to the election, so I thought I would provide some historic information about the 2016 election. I’m going to try to keep this apolitical and not make any predictions about the actual election results.
Let’s set up 2016. The election date was November 8, 2016 and the Clinton was the heavy favourite to beat Trump. Forecast-wise things were actually extremely similar to 2020 at this point, but in the last couple weeks leading into the election Trump did make up some significant ground. There was a lot of fear around the market leading up to the election with many suggestions that should Trump win that we would see a correction of 10+% and a run on precious metals.
2016 Polling Timeline: https://i.imgur.com/eiyh0uV.png
The correction arrived, but it was short-lived. S&P Futures hit circuit breakers after-hours, but recovered after Clinton’s concession speech only to open moderately up and end the day up significantly (~4%?). My SPY puts and NUGT calls did not do well.
Let’s look at SPY.
Post-Election $SPY ATM Call Volatility: https://i.imgur.com/C2T6RM8.png
Post-Election $SPY ATM Put Volatility: https://i.imgur.com/iwXhXGV.png
Looking at ATM calls and puts we see that both experienced a run-up in volatility in the weeks leading up into the election. This is to be expected and occurs with any binary or crush-inducing event as implied volatility is a time-weighted metric and pre-crush time is removed in the time leading up to the event is removed from the balance. It would be an interesting and very useful exercise to look at the forward volatility for the November 4 to November 11/18 time period in and observe how much the expected volatility changes, but the data I have available is too imprecise to provide an accurate picture of the volatility surface.
If we take a quick look at puts expiring Friday before the election, we don’t see a significant change in the implied volatility.
Pre-Election $SPY ATM Put Volatility: https://i.imgur.com/Knje4gK.png
I’m not going to speak much to it, but we saw similar volatility changes in ATM $GLD options in the lead-up to the election.
Post-Election $GLD ATM Call Volatility: https://i.imgur.com/iGcsrUQ.png
Post-Election $GLD ATM Put Volatility: https://i.imgur.com/Sp8kX4A.png
The two sectors that I regret not-trading the most last time around were health care and private prisons. The private prisons sector doesn’t have the liquidity to give a decent picture of the volatility, but with healthcare we can.
Post-Election $XBI ATM Call Price History: https://i.imgur.com/U1UMARA.png
Post-Election $XBI ATM Call Volatility: https://i.imgur.com/xUYItnv.png
So how does 2020 compare?
Coronavirus has thrown the market into an abnormal volatility landscape this year. Simultaneously while the current win/loss probability for Biden/Trump is very similar to what we saw in 2016, the way that we’ve got there is very different. Biden has been the significant betting favourite throughout the entire campaign and Trump’s old playbook doesn’t seem to be working as well with swing-state voters this time around.
2020 Polling Timeline: https://i.imgur.com/MoKOQcJ.png
2020 Full-Year $SPY 350C Volatility: https://i.imgur.com/mRl69UM.png
Even with the currently elevated volatility, we should still expect to see the it tick up on options leading into the election as with all other crush-type events.
submitted by moneyonfireapp to options [link] [comments]

Bitbinary.net - 0.3-3% daily for 365 days ($20 BONUS)

CLICK HERE TO JOIN
bitbinary.net is a high yield investment program or HYIP that offers 0.3-3% daily for 365 days as minimal profit for investment. HYIP is an online investment program that typically offers very high returns on the capital invested.
Plans: 0.3-3% daily for 365 days
Minimum Deposit: $1020
Referral Commission: 40%, 30%, and 20% of their net profit earned on binary trading, 7%-2%-1% commissions from bot leasing
Payment systems: bitcoin, ethereum, litecoin, dogecoin, tether
This is what it says on bitbinary.net website:
Some years ago, our company members have been seeking a formula that would help people to have income on binary options with a 100% guarantee of success. While reaching this goal, it was determined that humans are unable to perform the needed accuracy and frequency, unlike Artificial Intelligence. For this reason, we decided to design specialized software that can overcome humans in calculating and forecasting.
CLICK HERE TO JOIN
Related Reviews:https://reviewparking.com/bitbinary.net/

Other Links: Top Paying HYIP | Top Cloud Mining | Top Forex | Top Paid To Click | Top Crypto Faucets
submitted by reviewparkingdotcom to HYIP [link] [comments]

Wall Street Week Ahead for the trading week beginning June 29th, 2020

Good Saturday afternoon to all of you here on StockMarket. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning June 29th, 2020.

Fragile economic recovery faces first big test with June jobs report in the week ahead - (Source)

The second half of 2020 is nearly here, and now it’s up to the economy to prove that the stock market was right about a sharp comeback in growth.
The first big test will be the June jobs report, out on Thursday instead of its usual Friday release due to the July 4 holiday. According to Refinitiv, economists expect 3 million jobs were created, after May’s surprise gain of 2.5 million payrolls beat forecasts by a whopping 10 million jobs.
“If it’s stronger, it will suggest that the improvement is quicker, and that’s kind of what we saw in May with better retail sales, confidence was coming back a little and auto sales were better,” said Kevin Cummins, chief U.S. economist at NatWest Markets.
The second quarter winds down in the week ahead as investors are hopeful about the recovery but warily eyeing rising cases of Covid-19 in a number of states.
Stocks were lower for the week, as markets reacted to rising cases in Texas, Florida and other states. Investors worry about the threat to the economic rebound as those states move to curb some activities. The S&P 500 is up more than 16% so far for the second quarter, and it is down nearly 7% for the year. Friday’s losses wiped out the last of the index’s June gains.
“I think the stock market is looking beyond the valley. It is expecting a V-shaped economic recovery and a solid 2021 earnings picture,” said Sam Stovall, chief investment strategist at CFRA. He expects large-cap company earnings to be up 30% next year, and small-cap profits to bounce back by 140%.
“I think the second half needs to be a ‘show me’ period, proving that our optimism was justified, and we’ll need to see continued improvement in the economic data, and I think we need to see upward revisions to earnings estimates,” Stovall said.
Liz Ann Sonders, chief investment strategist at Charles Schwab, said she expects the recovery will not be as smooth as some expect, particularly considering the resurgence of virus outbreaks in sunbelt states and California.
“Now as I watch what’s happening I think it’s more likely to be rolling Ws,” rather than a V, she said. “It’s not just predicated on a second wave. I’m not sure we ever exited the first wave.”
Even without actual state shutdowns, the virus could slow economic activity. “That doesn’t mean businesses won’t shut themselves down, or consumers won’t back down more,” she said.

Election ahead

In the second half of the year, the market should turn its attention to the election, but Sonders does not expect much reaction to it until after Labor Day. RealClearPolitics average of polls shows Democrat Joe Biden leading President Donald Trump by 10 percentage points, and the odds of a Democratic sweep have been rising.
Biden has said he would raise corporate taxes, and some strategists say a sweep would be bad for business, due to increased regulation and higher taxes. Trump is expected to continue using tariffs, which unsettles the market, though both candidates are expected to take a tough stance on China.
“If it looks like the Senate stays Republican than there’s less to worry about in terms of policy changes,” Sonders said. “I don’t think it’s ever as binary as some people think.”
Stovall said a quick study shows that in the four presidential election years back to 1960, where the first quarter was negative, and the second quarter positive, stocks made gains in the second half.
Those were 1960 when John Kennedy took office, 1968, when Richard Nixon won; 1980 when Ronald Reagan’s was elected to his first term; and 1992, the first win by Bill Clinton. Coincidentally, in all of those years, the opposing party gained control of the White House.

Stimulus

The stocks market’s strong second-quarter showing came after the Fed and Congress moved quickly to inject the economy with trillions in stimulus. That unlocked credit markets and triggered a stampede by companies to restructure or issue debt. About $2 trillion in fiscal spending was aimed at consumers and businesses, who were in sudden need of cash after the abrupt shutdown of the economy.
Fed Chairman Jerome Powell and Treasury Secretary Steven Mnuchin both testify before the House Financial Services Committee Tuesday on the response to the virus. That will be important as markets look ahead to another fiscal package from Congress this summer, which is expected to provide aid to states and local governments; extend some enhanced benefits for unemployment, and provide more support for businesses.
“So much of it is still so fluid. There are a bunch of fiscal items that are rolling off. There’s talk about another fiscal stimulus payment like they did last time with a $1,200 check,” said Cummins.
Strategists expect Congress to bicker about the size and content of the stimulus package but ultimately come to an agreement before enhanced unemployment benefits run out at the end of July. Cummins said state budgets begin a new year July 1, and states with a critical need for funds may have to start letting workers go, as they cut expenses.
The Trump administration has indicated the jobs report Thursday could help shape the fiscal package, depending on what it shows. The federal supplement to state unemployment benefits has been $600 a week, but there is opposition to extending that, and strategists expect it to be at least cut in half.
The unemployment rate is expected to fall to 12.2% from 13.3% in May. Cummins said he had expected 7.2 million jobs, well above the consensus, and an unemployment rate of 11.8%.
As of last week, nearly 20 million people were collecting state unemployment benefits, and millions more were collecting under a federal pandemic aid program.
“The magnitude here and whether it’s 3 million or 7 million is kind of hard to handicap to begin with,” Cummins said. Economists have preferred to look at unemployment claims as a better real time read of employment, but they now say those numbers could be impacted by slow reporting or double filing.
“There’s no clarity on how you define the unemployed in the Covid 19 environment,” said Chris Rupkey, chief financial economist at MUFG Union Bank. “If there’s 30 million people receiving insurance, unemployment should be above 20%.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)

When Will The Economy Recover?

The economy is moving in the right direction, as many economic data points are coming in substantially better than what the economists expected. From May job gains coming in more than 10 million higher than expected and retail sales soaring a record 18%, how quickly the economy is bouncing back has surprised nearly everyone.
“As good as the recent economic data has been, we want to make it clear, it could still take years for the economy to fully come back,” explained LPL Financial Senior Market Strategist Ryan Detrick. “Think of it like building a house. You get all the big stuff done early, then some of the small things take so much longer to finish; I’m looking at you crown molding.”
Here’s the hard truth; it might take years for all of the jobs that were lost to fully recover. In fact, during the 10 recessions since 1950, it took an average of 30 months for lost jobs to finally come back. As the LPL Chart of the Day shows, recoveries have taken much longer lately. In fact, it took four years for the jobs lost during the tech bubble recession of the early 2000s to come back and more than six years for all the jobs lost to come back after the Great Recession. Given many more jobs were lost during this recession, it could takes many years before all of them indeed come back.
(CLICK HERE FOR THE CHART!)
The economy is going the right direction, and if there is no major second wave outbreak it could surprise to the upside. Importantly, this economic recovery will still be a long and bumpy road.

Nasdaq - Russell Spread Pulling the Rubber Band Tight

The Nasdaq has been outperforming every other US-based equity index over the last year, and nowhere has the disparity been wider than with small caps. The chart below compares the performance of the Nasdaq and Russell 2000 over the last 12 months. While the performance disparity is wide now, through last summer, the two indices were tracking each other nearly step for step. Then last fall, the Nasdaq started to steadily pull ahead before really separating itself in the bounce off the March lows. Just to illustrate how wide the gap between the two indices has become, over the last six months, the Nasdaq is up 11.9% compared to a decline of 15.8% for the Russell 2000. That's wide!
(CLICK HERE FOR THE CHART!)
In order to put the recent performance disparity between the two indices into perspective, the chart below shows the rolling six-month performance spread between the two indices going back to 1980. With a current spread of 27.7 percentage points, the gap between the two indices hasn't been this wide since the days of the dot-com boom. Back in February 2000, the spread between the two indices widened out to more than 50 percentage points. Not only was that period extreme, but ten months before that extreme reading, the spread also widened out to more than 51 percentage points. The current spread is wide, but with two separate periods in 1999 and 2000 where the performance gap between the two indices was nearly double the current level, that was a period where the Nasdaq REALLY outperformed small caps.
(CLICK HERE FOR THE CHART!)
To illustrate the magnitude of the Nasdaq's outperformance over the Russell 2000 from late 1998 through early 2000, the chart below shows the performance of the two indices beginning in October 1998. From that point right on through March of 2000 when the Nasdaq peaked, the Nasdaq rallied more than 200% compared to the Russell 2000 which was up a relatively meager 64%. In any other environment, a 64% gain in less than a year and a half would be excellent, but when it was under the shadow of the surging Nasdaq, it seemed like a pittance.
(CLICK HERE FOR THE CHART!)

Share Price Performance

The US equity market made its most recent peak on June 8th. From the March 23rd low through June 8th, the average stock in the large-cap Russell 1,000 was up more than 65%! Since June 8th, the average stock in the index is down more than 11%. Below we have broken the index into deciles (10 groups of 100 stocks each) based on simple share price as of June 8th. Decile 1 (marked "Highest" in the chart) contains the 10% of stocks with the highest share prices. Decile 10 (marked "Lowest" in the chart) contains the 10% of stocks with the lowest share prices. As shown, the highest priced decile of stocks are down an average of just 4.8% since June 8th, while the lowest priced decile of stocks are down an average of 21.5%. It's pretty remarkable how performance gets weaker and weaker the lower the share price gets.
(CLICK HERE FOR THE CHART!)

Nasdaq 2% Pullbacks From Record Highs

It's hard to believe that sentiment can change so fast in the market that one day investors and traders are bidding up stocks to record highs, but then the next day sell them so much that it takes the market down over 2%. That's exactly what happened not only in the last two days but also two weeks ago. While the 5% pullback from a record high back on June 10th took the Nasdaq back below its February high, this time around, the Nasdaq has been able to hold above those February highs.
(CLICK HERE FOR THE CHART!)
In the entire history of the Nasdaq, there have only been 12 periods prior to this week where the Nasdaq closed at an all-time high on one day but dropped more than 2% the next day. Those occurrences are highlighted in the table below along with the index's performance over the following week, month, three months, six months, and one year. We have also highlighted each occurrence that followed a prior one by less than three months in gray. What immediately stands out in the table is how much gray shading there is. In other words, these types of events tend to happen in bunches, and if you count the original occurrence in each of the bunches, the only two occurrences that didn't come within three months of another occurrence (either before or after) were July 1986 and May 2017.
In terms of market performance following prior occurrences, the Nasdaq's average and median returns were generally below average, but there is a pretty big caveat. While the average one-year performance was a gain of 1.0% and a decline of 23.6% on a median basis, the six occurrences that came between December 1999 and March 2000 all essentially cover the same period (which was very bad) and skew the results. Likewise, the three occurrences in the two-month stretch from late November 1998 through January 1999 where the Nasdaq saw strong gains also involves a degree of double-counting. As a result of these performances at either end of the extreme, it's hard to draw any trends from the prior occurrences except to say that they are typically followed by big moves in either direction. The only time the Nasdaq wasn't either 20% higher or lower one year later was in 1986.
(CLICK HERE FOR THE CHART!)

Christmas in July: NASDAQ’s Mid-Year Rally

In the mid-1980s the market began to evolve into a tech-driven market and the market’s focus in early summer shifted to the outlook for second quarter earnings of technology companies. Over the last three trading days of June and the first nine trading days in July, NASDAQ typically enjoys a rally. This 12-day run has been up 27 of the past 35 years with an average historical gain of 2.5%. This year the rally may have begun a day early, today and could last until on or around July 14.
After the bursting of the tech bubble in 2000, NASDAQ’s mid-year rally had a spotty track record from 2002 until 2009 with three appearances and five no-shows in those years. However, it has been quite solid over the last ten years, up nine times with a single mild 0.1% loss in 2015. Last year, NASDAQ advanced a solid 4.6% during the 12-day span.
(CLICK HERE FOR THE CHART!)

Tech Historically Leads Market Higher Until Q3 of Election Years

As of yesterday’s close DJIA was down 8.8% year-to-date. S&P 500 was down 3.5% and NASDAQ was up 12.1%. Compared to the typical election year, DJIA and S&P 500 are below historical average performance while NASDAQ is above average. However this year has not been a typical election year. Due to the covid-19, the market suffered the damage of the shortest bear market on record and a new bull market all before the first half of the year has come to an end.
In the surrounding Seasonal Patten Charts of DJIA, S&P 500 and NASDAQ, we compare 2020 (as of yesterday’s close) to All Years and Election Years. This year’s performance has been plotted on the right vertical axis in each chart. This year certainly has been unlike any other however some notable observations can be made. For DJIA and S&P 500, January, February and approximately half of March have historically been weak, on average, in election years. This year the bear market ended on March 23. Following those past weak starts, DJIA and S&P 500 historically enjoyed strength lasting into September before experiencing any significant pullback followed by a nice yearend rally. NASDAQ’s election year pattern differs somewhat with six fewer years of data, but it does hint to a possible late Q3 peak.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending June 26th, 2020

(CLICK HERE FOR THE YOUTUBE VIDEO!

STOCK MARKET VIDEO: ShadowTrader Video Weekly 6.28.20

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $MU
  • $GIS
  • $FDX
  • $CAG
  • $STZ
  • $CPRI
  • $XYF
  • $AYI
  • $MEI
  • $UNF
  • $CDMO
  • $SCHN
  • $LNN
  • $CULP
  • $XELA
  • $KFY
  • $RTIX
  • $JRSH
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST NOTABLE EARNINGS RELEASES FOR THE NEXT 4 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 6.29.20 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Monday 6.29.20 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 6.30.20 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 6.30.20 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 7.1.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 7.1.20 After Market Close:

([CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Thursday 7.2.20 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 7.2.20 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Friday 7.3.20 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Friday 7.3.20 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Micron Technology, Inc. $48.49

Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:00 PM ET on Monday, June 29, 2020. The consensus earnings estimate is $0.71 per share on revenue of $5.27 billion and the Earnings Whisper ® number is $0.70 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for earnings of $0.40 to $0.70 per share. Consensus estimates are for earnings to decline year-over-year by 29.00% with revenue increasing by 10.07%. Short interest has increased by 7.6% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release to be 0.9% below its 200 day moving average of $48.94. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 11, 2020 there was some notable buying of 46,037 contracts of the $60.00 call expiring on Friday, July 17, 2020. Option traders are pricing in a 4.6% move on earnings and the stock has averaged a 8.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

General Mills, Inc. $59.21

General Mills, Inc. (GIS) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $1.04 per share on revenue of $4.89 billion and the Earnings Whisper ® number is $1.10 per share. Investor sentiment going into the company's earnings release has 69% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 25.30% with revenue increasing by 17.50%. Short interest has decreased by 9.4% since the company's last earnings release while the stock has drifted higher by 2.7% from its open following the earnings release to be 7.8% above its 200 day moving average of $54.91. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, June 24, 2020 there was some notable buying of 8,573 contracts of the $60.00 call expiring on Friday, July 17, 2020. Option traders are pricing in a 6.6% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

FedEx Corp. $130.08

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $1.42 per share on revenue of $16.31 billion and the Earnings Whisper ® number is $1.65 per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 71.66% with revenue decreasing by 8.41%. Short interest has increased by 10.4% since the company's last earnings release while the stock has drifted higher by 43.9% from its open following the earnings release to be 7.6% below its 200 day moving average of $140.75. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 25, 2020 there was some notable buying of 1,768 contracts of the $145.00 call expiring on Thursday, July 2, 2020. Option traders are pricing in a 4.6% move on earnings and the stock has averaged a 7.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Conagra Brands, Inc. $32.64

Conagra Brands, Inc. (CAG) is confirmed to report earnings at approximately 7:30 AM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $0.66 per share on revenue of $3.24 billion and the Earnings Whisper ® number is $0.69 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 83.33% with revenue increasing by 23.99%. Short interest has decreased by 38.3% since the company's last earnings release while the stock has drifted higher by 6.3% from its open following the earnings release to be 6.4% above its 200 day moving average of $30.68. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, June 11, 2020 there was some notable buying of 3,239 contracts of the $29.00 put expiring on Thursday, July 2, 2020. Option traders are pricing in a 4.7% move on earnings and the stock has averaged a 10.8% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Constellation Brands, Inc. $168.99

Constellation Brands, Inc. (STZ) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $1.91 per share on revenue of $1.97 billion and the Earnings Whisper ® number is $2.12 per share. Investor sentiment going into the company's earnings release has 53% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 13.57% with revenue decreasing by 13.69%. Short interest has increased by 20.8% since the company's last earnings release while the stock has drifted higher by 25.2% from its open following the earnings release to be 5.2% below its 200 day moving average of $178.34. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, June 9, 2020 there was some notable buying of 888 contracts of the $195.00 call expiring on Friday, October 16, 2020. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 5.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Capri Holdings Limited $14.37

Capri Holdings Limited (CPRI) is confirmed to report earnings at approximately 6:30 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $0.32 per share on revenue of $1.18 billion and the Earnings Whisper ® number is $0.34 per share. Investor sentiment going into the company's earnings release has 39% expecting an earnings beat The company's guidance was for earnings of $0.68 to $0.73 per share. Consensus estimates are for earnings to decline year-over-year by 49.21% with revenue decreasing by 12.20%. Short interest has increased by 35.1% since the company's last earnings release while the stock has drifted lower by 56.7% from its open following the earnings release to be 44.0% below its 200 day moving average of $25.67. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 4, 2020 there was some notable buying of 11,042 contracts of the $17.50 put expiring on Friday, August 21, 2020. Option traders are pricing in a 10.8% move on earnings and the stock has averaged a 6.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

X Financial $0.92

X Financial (XYF) is confirmed to report earnings at approximately 5:00 PM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $0.09 per share. Investor sentiment going into the company's earnings release has 25% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 55.00% with revenue increasing by 763.52%. Short interest has increased by 1.0% since the company's last earnings release while the stock has drifted lower by 1.2% from its open following the earnings release to be 37.7% below its 200 day moving average of $1.47. Overall earnings estimates have been unchanged since the company's last earnings release. The stock has averaged a 4.9% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Acuity Brands, Inc. $84.45

Acuity Brands, Inc. (AYI) is confirmed to report earnings at approximately 8:40 AM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $1.14 per share on revenue of $809.25 million and the Earnings Whisper ® number is $1.09 per share. Investor sentiment going into the company's earnings release has 42% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 51.90% with revenue decreasing by 14.60%. Short interest has increased by 48.5% since the company's last earnings release while the stock has drifted higher by 2.4% from its open following the earnings release to be 23.4% below its 200 day moving average of $110.25. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 9.2% move on earnings and the stock has averaged a 8.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Methode Electronics, Inc. $30.02

Methode Electronics, Inc. (MEI) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $0.77 per share on revenue of $211.39 million. Investor sentiment going into the company's earnings release has 45% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 24.19% with revenue decreasing by 20.53%. Short interest has increased by 6.2% since the company's last earnings release while the stock has drifted lower by 1.7% from its open following the earnings release to be 9.0% below its 200 day moving average of $32.97. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 18.4% move on earnings and the stock has averaged a 8.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

UniFirst Corporation $170.54

UniFirst Corporation (UNF) is confirmed to report earnings at approximately 8:00 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $1.17 per share on revenue of $378.28 million and the Earnings Whisper ® number is $1.25 per share. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 52.44% with revenue decreasing by 16.63%. Short interest has decreased by 2.7% since the company's last earnings release while the stock has drifted higher by 14.1% from its open following the earnings release to be 8.4% below its 200 day moving average of $186.14. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 7.0% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead StockMarket.
submitted by bigbear0083 to StockMarket [link] [comments]

MAME 0.222

MAME 0.222

MAME 0.222, the product of our May/June development cycle, is ready today, and it’s a very exciting release. There are lots of bug fixes, including some long-standing issues with classics like Bosconian and Gaplus, and missing pan/zoom effects in games on Seta hardware. Two more Nintendo LCD games are supported: the Panorama Screen version of Popeye, and the two-player Donkey Kong 3 Micro Vs. System. New versions of supported games include a review copy of DonPachi that allows the game to be paused for photography, and a version of the adult Qix game Gals Panic for the Taiwanese market.
Other advancements on the arcade side include audio circuitry emulation for 280-ZZZAP, and protection microcontroller emulation for Kick and Run and Captain Silver.
The GRiD Compass series were possibly the first rugged computers in the clamshell form factor, possibly best known for their use on NASA space shuttle missions in the 1980s. The initial model, the Compass 1101, is now usable in MAME. There are lots of improvements to the Tandy Color Computer drivers in this release, with better cartridge support being a theme. Acorn BBC series drivers now support Solidisk file system ROMs. Writing to IMD floppy images (popular for CP/M computers) is now supported, and a critical bug affecting writes to HFE disk images has been fixed. Software list additions include a collection of CDs for the SGI MIPS workstations.
There are several updates to Apple II emulation this month, including support for several accelerators, a new IWM floppy controller core, and support for using two memory cards simultaneously on the CFFA2. As usual, we’ve added the latest original software dumps and clean cracks to the software lists, including lots of educational titles.
Finally, the memory system has been optimised, yielding performance improvements in all emulated systems, you no longer need to avoid non-ASCII characters in paths when using the chdman tool, and jedutil supports more devices.
There were too many HyperScan RFID cards added to the software list to itemise them all here. You can read about all the updates in the whatsnew.txt file, or get the source and 64-bit Windows binary packages from the download page.

MAME Testers Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

submitted by cuavas to emulation [link] [comments]

Selling your Covered Call - Thoughts on How to Select Your Strike and Expiration

Congratulations! You are a bag holder of company XYZ which was thought to be the best penny stock ever. Instead of feeling sorry, you consider selling covered calls to help reduce your cost basis - and eventually get out of your bags with minimal loss or even a profit!
First - let's review the call option contract. The holder of the call option contract has the right but not the obligation to purchase 100 shares of XYZ at the strike price per share. This contract has an expiration date. We assume American style option contracts which means that the option can be exercised at any point prior to expiration. Thus, there are three parameters to the option contract - the strike price, the expiration date and the premium - which represents the price per share of the contract.
The holder of the call option contract is the person that buys the option. The writer of the contract is the seller. The buyer (or holder) pays the premium. The seller (or writer) collects the premium.
As an XYZ bag holder, the covered call may help. By writing a call contract against your XYZ shares, you can collect premium to reduce your investment cost in XYZ - reducing your average cost per share. For every 100 shares of XYZ, you can write 1 call contract. Notice that that by selling the contract, you do not control if the call is exercised - only the holder of the contract can exercise it.
There are several online descriptions about the covered call strategy. Here is an example that might be useful to review Covered Call Description
The general guidance is to select the call strike at the price in which you would be happy selling your shares. However, the context of most online resources on the covered call strategy assume that you either just purchased the shares at market value or your average cost is below the market price. In the case as a bag holder, your average cost is most likely over - if not significantly over - the current market price. This situation simply means that you have a little work to reduce your average before you are ready to have your bags called away. For example, you would not want to have your strike set at $2.50 when your average is above that value as this would guarantee a net loss. (However, if you are simply trying to rid your bags and your average is slightly above the strike, then you might consider it as the strike price).
One more abstract concept before getting to what you want to know. The following link shows the Profit/Loss Diagram for Covered Call Conceptually, the blue line shows the profit/loss value of your long stock position. The line crosses the x-axis at your average cost, i.e the break-even point for the long stock position. The green/red hockey stick is the profit (green) or loss (red) of the covered call position (100 long stock + 1 short call option). The profit has a maximum value at the strike price. This plateau is due to the fact that you only receive the agreed upon strike price per share when the call option is exercised. Below the strike, the profit decreases along the unit slope line until the value becomes negative. It is a misnomer to say that the covered call is at 'loss' since it is really the long stock that has decreased in value - but it is not loss (yet). Note that the break-even point marked in the plot is simply the reduced averaged cost from the collected premium selling the covered call.
As a bag holder, it will be a two-stage process: (1) reduce the average cost (2) get rid of bags.
Okay let's talk selecting strike and expiration. You must jointly select these two parameters. Far OTM strikes will collect less premium where the premium will increase as you move the strike closer to the share price. Shorter DTE will also collect less premium where the premium will increase as you increase the DTE.
It is easier to describe stage 2 "get rid of bags" first. Let us pretend that our hypothetical bag of 100 XYZ shares cost us $5.15/share. The current XYZ market price is $3/share - our hole is $2.15/share that we need to dig out. Finally, assume the following option chain (all hypothetical):
DTE Strike Premium Intrinsic Value Time Value
20 $2.5 $0.60 $0.50 $0.10
20 $5.0 $0.25 $0 $0.25
20 $7.5 $0.05 $0 $0.05
50 $2.5 $0.80 $0.50 $0.30
50 $5.0 $0.40 $0 $0.40
50 $7.5 $0.20 $0 $0.20
110 $2.5 $0.95 $0.50 $0.45
110 $5.0 $0.50 $0 $0.50
110 $7.5 $0.25 $0 $0.25
Purely made up the numbers, but the table illustrates the notional behavior of an option chain. The option value (premium) is the intrinsic value plus the time value. Only the $2.5 strike has intrinsic value since the share price is $3 (which is greater than $2.5). Notice that intrinsic value cannot be negative. The rest of the premium is the time value of the option which is essentially the monetary bet associated with the probability that the share price will exceed the strike at expiration.
According to the table, we could collect the most premium by selling the 110 DTE $2.5 call for $0.95. However, there is a couple problems with that option contract. We are sitting with bags at $5.15/share and receiving $0.95 will only reduce our average to $4.20/share. On expiration, if still above $2.5, then we are assigned, shares called away and we receive $2.50/share or a loss of $170 - not good.
Well, then how about the $5 strike at 110 DTE for $0.50? This reduces us to $4.65/share which is under the $5 strike so we would make a profit of $35! This is true - however 110 days is a long time to make $35. You might say that is fine you just want to get the bags gone don't care. Well maybe consider a shorter DTE - even the 20 DTE or 50 DTE would collect premium that reduces your average below $5. This would allow you to react to any stock movement that occurs in the near-term.
Consider person A sells the 110 DTE $5 call and person B sells the 50 DTE $5 call. Suppose that the XYZ stock increases to $4.95/share in 50 days then goes to $8 in the next 30 days then drops to $3 after another 30 days. This timeline goes 110 days and person A had to watch the price go up and fall back to the same spot with XYZ stock at $3/share. Granted the premium collected reduced the average but stilling hold the bags. Person B on the other hand has the call expire worthless when XYZ is at $4.95/share. A decision can be made - sell immediately, sell another $5 call or sell a $7.5 call. Suppose the $7.5 call is sold with 30 DTE collecting some premium, then - jackpot - the shares are called away when XYZ is trading at $8/share! Of course, no one can predict the future, but the shorter DTE enables more decision points.
The takeaway for the second step in the 2-stage approach is that you need to select your profit target to help guide your strike selection. In this example, are you happy with the XYZ shares called away at $5/share or do you want $7.5/share? What is your opinion on the stock price trajectory? When do you foresee decision points? This will help determine the strike/expiration that matches your thoughts. Note: studies have shown that actively managing your position results in better performance than simply waiting for expiration, so you can adjust the position if your assessment on the movement is incorrect.
Let's circle back to the first step "reduce the average cost". What if your average cost of your 100 shares of XYZ is $8/share? Clearly, all of the strikes in our example option chain above is "bad" to a certain extent since we would stand to lose a lot of money if the option contract is exercised. However, by describing the second step, we know the objective for this first step is to reduce our average such that we can profit from the strikes. How do we achieve this objective?
It is somewhat the same process as previously described, but you need to do your homework a little more diligently. What is your forecast on the stock movement? Since $7.5 is the closest strike to your average, when do you expect XYZ to rise from $3/share to $7.5/share? Without PR, you might say never. With some PR then maybe 50/50 chance - if so, then what is the outlook for PR? What do you think the chances of going to $5/share where you could collect more premium?
Suppose that a few XYZ bag holders (all with a $8/share cost) discuss there outlook of the XYZ stock price in the next 120 days:
Person 10 days 20 days 30 days 40 days 50 days 100 days 120 days
A $3 $3 $3 $3 $3 $4 $4
B $4 $4 $5 $6 $7 $12 $14
C $7 $7 $7 $7 $7 $7 $7
Person A does not seem to think much price movement will occur. This person might sell the $5 call with either 20 DTE or 50 DTE. Then upon expiration, sell another $5 call for another 20-50 DTE. Person A could keep repeating this until the average is reduced enough to move onto step-2. Of course, this approach is risky if the Person A price forecast is incorrect and the stock price goes up - which might result in assignment too soon.
Person B appears to be the most bullish of the group. This person might sell the $5 call with 20 DTE then upon expiration sell the $7.5 call. After expiration, Person B might decide to leave the shares uncovered because her homework says XYZ is going to explode and she wants to capture those gains!
Person C believes that there will be a step increase in 10 days maybe due to major PR event. This person will not have the chance to reduce the average in time to sell quickly, so first he sells a $7.5 call with 20 DTE to chip at the average. At expiration, Person C would continue to sell $7.5 calls until the average at the point where he can move onto the "get rid of bags" step.
In all causes, each person must form an opinion on the XYZ price movement. Of course, the prediction will be wrong at some level (otherwise they wouldn't be bag holders!).
The takeaway for the first step in the 2-stage approach is that you need to do your homework to better forecast the price movement to identify the correct strikes to bring down your average. The quality of the homework and the risk that you are willing to take will dedicate the speed at which you can reduce your average.
Note that if you are unfortunate to have an extremely high average per share, then you might need to consider doing the good old buy-more-shares-to-average-down. This will be the fastest way to reduce your average. If you cannot invest more money, then the approach above will still work, but it will require much more patience. Remember there is no free lunch!
Advanced note: there is another method to reduce your (high) average per share - selling cash secured puts. It is the "put version" of a cover call. Suppose that you sell a XYZ $2.5 put contract for $0.50 with 60 DTE. You collect $50 from the premium of the contract. This money is immediately in your bank and reduces your investment cost. But what did you sell? If XYZ is trading below $2.50, then you will be assigned 100 shares of XYZ at $2.50/share or $250. You own more shares, but at a price which will reduce your average further. Being cash secured, your brokerage will reserve $250 from your account when you sell the contract. In essence, you reduce your buying power by $250 and conditionally purchase the shares - you do not have them until assignment. If XYZ is greater than the strike at expiration, then your broker gives back $250 cash / buying power and you keep the premium.

Early assignment - one concern is the chance of early assignment. The American style option contract allows the holder the opportunity to exercise the contract at any time prior to expiration. Early assignment almost never occurs. There are special cases that typically deal with dividends but most penny stocks are not in the position to hand out dividends. Aside from that, the holder would be throwing away option time value by early exercise. It possibly can handle - probably won't - it actually would be a benefit when selling covered calls as you would receive your profit more quickly!


This post has probably gone too long! I will stop and let's discuss this matter. I will add follow-on material with some of the following topics which factors into this discussion:
Open to other suggestions. I'm sure there are some typos and unclear statements - I will edit as needed!
\I'm not a financial advisor. Simply helping to 'coach' people through the process. You are responsible for your decisions. Do not execute a trade that you do not understand. Ask questions if needed!**
submitted by x05595113 to pennystockoptions [link] [comments]

MAME 0.222

MAME 0.222

MAME 0.222, the product of our May/June development cycle, is ready today, and it’s a very exciting release. There are lots of bug fixes, including some long-standing issues with classics like Bosconian and Gaplus, and missing pan/zoom effects in games on Seta hardware. Two more Nintendo LCD games are supported: the Panorama Screen version of Popeye, and the two-player Donkey Kong 3 Micro Vs. System. New versions of supported games include a review copy of DonPachi that allows the game to be paused for photography, and a version of the adult Qix game Gals Panic for the Taiwanese market.
Other advancements on the arcade side include audio circuitry emulation for 280-ZZZAP, and protection microcontroller emulation for Kick and Run and Captain Silver.
The GRiD Compass series were possibly the first rugged computers in the clamshell form factor, possibly best known for their use on NASA space shuttle missions in the 1980s. The initial model, the Compass 1101, is now usable in MAME. There are lots of improvements to the Tandy Color Computer drivers in this release, with better cartridge support being a theme. Acorn BBC series drivers now support Solidisk file system ROMs. Writing to IMD floppy images (popular for CP/M computers) is now supported, and a critical bug affecting writes to HFE disk images has been fixed. Software list additions include a collection of CDs for the SGI MIPS workstations.
There are several updates to Apple II emulation this month, including support for several accelerators, a new IWM floppy controller core, and support for using two memory cards simultaneously on the CFFA2. As usual, we’ve added the latest original software dumps and clean cracks to the software lists, including lots of educational titles.
Finally, the memory system has been optimised, yielding performance improvements in all emulated systems, you no longer need to avoid non-ASCII characters in paths when using the chdman tool, and jedutil supports more devices.
There were too many HyperScan RFID cards added to the software list to itemise them all here. You can read about all the updates in the whatsnew.txt file, or get the source and 64-bit Windows binary packages from the download page.

MAME Testers Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

submitted by cuavas to MAME [link] [comments]

Live Binary Option Forex Signals Forecast IQ Option Free ... Best Way to make Money with Binary Options 2020: Binary Options Strategy Binary Options Strategy 2020  100% WIN GUARANTEED ... BINARY OPTIONS - How to Trade With Binary Options - Binary Options Trading 2020

Now you have to imagine and predict the asset price direction for the future (forecast): ... At latest trade the Binary Option with a call or put. There are only 2 options in the market, that’s why it is called “binary”. In the end, you earn a high yield or you lose your selected amount. What are the conditions Binary Options Trading? You can trade any asset with Binary Options. It can ... Definition 2: Binary forecast/payoff A binary forecast (belief, or payoff) is a random variable taking two values X: !fX 1;X 2g; with realizations X 1;X 2 2R. In other words, it lives in the binary set (say f0;1g, f 1;1g, etc.), i.e., the specified event will or will not take place and, if there is a payoff, such payoff will be mapped into ... Binary Options Forecast. Home; Index; Perfect For All . The modern design of Minamaze (Lite) makes it the perfect choice for any website. Business, charity, blog, well everything! Read More. 100% Responsive. Minamaze (Lite) is 100% responsive. It looks great on all devices, from mobile to desktops and everything in between! Read More. Powerful Framework. Get a taste of our awesome ... Experienced traders and professional market analysts with the deepest knowledge of fundamental analysis for the most probable forecast of the market only manage financial assets of Best Experts. 12 January 2017, binary-options.ltd has unique proposal of cooperation for the improvement of own trading system that allows us to generate a steady income for a long enough period. If the binary option forecast corresponds with the current trend, this means a signal to buy an option. Though investing in the stock, index, and commodity market is typically long-term, don’t buy binary options on stock or indices for a long period because news releases can change the trend. If your purchase of a binary option is based on forecasts, I advise you to buy an option maximum for ... For each correct forecast you would generally earn between 80 and 95% of your investment. Therefore, if you invest $ 100, you will receive a credit of $ 180 to $ 195% for each successful trades. This allows you to simplify your risk management and facilitate your decision making in the market. Unlike the traditional stock market, binary options traders do not actually buy and sell stocks. They ... Here we find our weekly binary options technical analysis by our financial analyst. We focus on major currency pairs ( EUR/USD, GBP/USD,.). BINARY BROKERS. RaceOption; BinaryCent; VideForex; BinBotPro; Nadex; BITCOIN BROKERS; SCAMS; ROBOTS; ANALYSIS; EDUCATION; Binary Options Technical Analysis: Weekly Forecast. Binary Options Technical Analysis: Weekly Forecast. November 4, 2020 0 65. USDMXN ...

[index] [21740] [9784] [26105] [17632] [25666] [18131] [18024] [11790] [8510] [2825]

Live Binary Option Forex Signals Forecast IQ Option Free ...

The road to success through trading IQ option Best Bot Reviews Iq Option 2020 ,We make videos using this softwhere bot which aims to make it easier for you t... This is obviously inconvenient to Binary Options traders that favour cellular equipment, thus it’s value thinking about this when selecting a broker. Loading... Advertisement If your forecast need to be realized in half-hour, Meaning you're employed having a thirty-moment binary options strategy. Probably the greatest binary options strategy brokers on-line today which ... Binary Options Forecast February 16, 2016 - Duration: 104 seconds. Binary Options Strategy. 4 years ago; 13 views; During the day on Tuesday, we get announcements out of of Great Britain, and ... Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

http://binaryoptiontrade.ininmidachyca.ga