Predicting The Stock Market's Next Move – Technical Analysis

Hey, everyone This is Kirk here again, at In this video, we’re going to talk about predicting the market’s next move Now, the first thing that most traders do when entering a trade is try to predict where the market will go; it’s up, down, sideways, you’re bullish, you’re bearish, you’re neutral, whatever the case is We’re going to argue and prove in this video that it doesn’t matter which way you trade the market with options because you’ll get virtually the same probability of success and payout, regardless of the direction Remember, the market is extremely efficient so you can’t get some directional edge, necessarily, in every situation by trying to pick and assume that the market’s going to turn or continue to move in one direction As always, here at Option Alpha, we’re not going to just tell you this is the case We’re going to prove it to you Let’s look at three different trades, or at least three directionally different trades We’re actually going to take a look here today at GDX This actually kind of fits the bill for us anyway because at the time that we’re doing this video, GDX in gold has had a huge run-up and is just now starting to move lower It actually kind of gapped lower a couple days ago and is now starting to move lower Whatever you think might happen here in GDX I’m just going to want to scrunch this down so we can see further out strike prices Take a second here, just real quick in this video and make an assumption on where you think GDX is going to go You can use some technicals or whatever you want to do, but the reality is that after this move, some of you, maybe half, will say it’s going to go lower Some of you, maybe half, will say it’s going to go higher Maybe some small percentage says it goes sideways, okay? Well, the reality is that doesn’t matter which way you think GDX is going to go because we can build a trade that has a 70% chance of success in any direction Okay, this is something I go over a lot with coaching students when I do one-on-one coaching is that if you think GDX is going to go lower, you can build a trade that’s got a 70% chance of success based on the assumption that GDX goes lower You can build a trade that has a 70% chance of success based on the assumption GDX goes higher, and you can build a trade that has an assumption based on a 70% chance of success that GDX goes sideways or neutral or stays range-bound At the end of the day, you’re going to have basically the same probability of success and basically the same payout across the board, okay? Slight differences in one direction or another, but you’ll see virtually the same payout, which really means that market is totally efficient, totally normal distribution, and it really doesn’t matter which direction you end up trading a stock, okay? Let’s go to the trade tap here We’re in the May contracts, again, just based at the time of this video, and the first thing that we’re going to do is we’re going to build a bearish trade in GDX Now, the way that we build bearish trades is we basically sell call credit spreads If GDX right now is trading for 1946, we’re going to go out and we’re going to sell a call credit spread that basically gives us about a 70% chance of success Now, in this case, this is the probability that the strike price that we’re looking at, the 21 strikes … This is our anchor strike price The 21 strikes have about a 30% chance of being in the money at expiration Again, there’s a 30% chance that GDX goes from 1946 up to and above the 21 strike between now and May expiration If we take the inverse of that, that’d be about a 70% chance that it does not get that high If we go ahead and we sell the 21, 22 credit call spread in GDX, you can see that right now, that pays out a credit of about .26 cents on this trade, okay? If we actually just hit confirm and send real quick, you see that the risk in the trade is about $74, okay, because it’s just a $1 wide spread In this case, we have got a 70% chance of success, and we’ve got a trade that pays out about $26 and has risk of about $74, okay? That’s going to be the baseline for what we’re doing here Now, that’s if you’re directionally bearish in GDX Going back to the chart, that would mean that you would basically make a trade where you’re selling a call credit spread here and basically saying, “Look, if the market rallies higher, as long as it doesn’t go above 22, I make money If it stays sideways, I make money and if it goes down, I make money.” Directionally, I’d love to see it go down That’s the best case scenario, right? You can still make money if it goes sideways or higher Directionally, you’d love to see it go down Let’s take the opposite side of the trade here Let’s assume that we are bullish on GDX, okay? Now let’s take the put credit spread and we’re going to sell something with about the same probability, okay? This case, the closest probability to about a 70% chance of success trade is selling the 17.5 puts and buying the 16.5 puts, okay? These basically give us about a 68%, 69% percent probability of success, so very close to that 70 that we were targeting with the other trade as well We’re going to sell the 17.5, buy the 16.5, and you can see this trade pays out $25, so

about 2% probability of success but pays out virtually the same amount of money, $25, has risk of $75, and has virtually the same probability of success as the last trade, about 70% Okay, so I’m rounding up one or two percent here and with break-even points, it might be very close, okay? You can see that no matter which direction you trade GDX, you’re making the same amount of money You can build a strategy that profits the same amount of times and pays out the same amount of money, and regardless of whatever you choose If you choose to be bearish or choose to be bullish, it really doesn’t matter as long as you’re trading high-probability options Again, in this case, if we went ahead and sold the 17.5 puts, we’d basically be drawing a line in the sand here at 17.5 and saying to the market, “Look, if you want to go down, that’s fine, just don’t go down below 17.5.” You can trade sideways, or the better option here is to see the market go much higher from here That would be the ideal situation by selling the credit put spread Now let’s take the third example here and let’s assume that you actually want to trade GDX completely neutral, so you don’t really have a directional assumption You don’t care if it goes up or down You want to trade at directionally neutral, but what we have to do is we have to build a strategy that wins 70% of the time inside of our strike prices, okay? Again, we have to build a strategy that wins 70% of the time inside of our strike prices When we were doing one-directional trades, we were looking for the 30% probability range on either side, our probability level on either side Now, if we want 70 on the inside, we basically have to look for something that loses about 15% on either end, okay? In this case, it would be these two strikes, the 23 calls and the 15.5 puts because together, the likelihood that GDX is above 23 or below 15.5 is about a 30% probability, right? You can see we’re just adding these two numbers together About a 30% probability that GDX is below 15.5 at expiration or above $23 at expiration, that leaves us an inside range between these strike prices, 15.5 and 23, about a 70% chance that the stock ends inside of this range, okay? Now, you can see we’re now building a strategy that has a little bit wider of a wing or base on either end to hopefully capture a wider range, still has the same probability of success so let’s go ahead and build out this strategy here We’ll sell the 15.5 puts, buy the 14.5 puts, so doing a $1 wide spread on that end of the market On the top side, we’ll do the same thing We’ll sell the 23s and buy the 24s, and that basically gives us an iron condor around them market and the credit we receive on this trade is about $22 Okay, so a couple dollars less, not a huge different obviously It’s not a $10 or a $50 difference in pricing It’s basically a $3 or $4 difference in pricing, but you basically have a trade that pays out; 70% of the time is going to be a winner When it is a winner, it pays out $22 and has risk basically of about $78, okay? A very, very similar trade to everything else that we’ve done When we go back to the chart here, we can now draw the lines and see that our new iron condor pays out if we were at 15.5, which is further down below the market, and 33 is much further above the market so now this is our new kind of win window here for this iron condor, much wider on each end We need the stock to stay range-bound within here It can still move a lot, but we need the stock to stay range-bound within here Again, the key here is that you didn’t have to have necessarily a good directional assumption to make a decent trade In fact, the market is so efficient that it basically prices in the same probability of success on any end or any way that you want to shape it, and gives you about the same payout for that probability of success because the market’s fair and efficient It’s not going to give you something without basically paying you enough money to make it worth your while They’re paying out the risk that’s involved in the trade All right, now as we move on, we want to talk a little bit about overbought and oversold Now, we’ve previously proved that markets move in a normalized distribution, and we did this a couple of videos before here in track two, also in track one when we tracked DIA over the last basically 26 years, or going back to 1990, and looked at all the daily moves that it had percentage-wise and there was a complete, normal distribution pattern of percentage up and down Now, that also means that we can assume there are times when the markets will be either

oversold or overbought and should revert back to the mean or reverse, which means that if the market moves up 10% over the course of three days, that is likely an outstretched move and the market should either stop that move, which is the most important part, so not continue on at that pace, or possibly reverse Not that it would reverse all the time, but at least stop that move higher Now, the beauty of options trading is that we can choose to play stocks directionally with a greater margin for error to win, even if we are wrong in our assumption The reason I say 50% there is because the reality is that as stock traders and stock pickers, we’re actually really bad, not just us; me, you, everybody I mean even the investing community Even Goldman Sachs, one of the biggest investment brokerage houses on Wall Street with the most amount of money, the most amount of influence, is actually really bad at picking directional assumptions for their stocks We don’t want to assume that all the time that we can pick the directional assumption, but with trading and trading options, it’s like having an unfair advantage because you get a margin for error to assume that a stock is going to go one way and if it’s a little bit wrong, you actually still could make some money Going back to our GDX example that we talked about before, for example, if we sold those puts down below the market and we basically draw the line in the sand and say, “Okay, look, we’ve got the 17 sure puts here on GDX We don’t want GDX to go below this level,” this is actually a bullish trade This is a bullish trade because you want GDX to go higher, but you actually have a little bit of margin for error because if GDX goes sideways or actually GDX falls a couple dollars, you still make some money, and that’s the beauty of trading options over stock If you just trade stock, if you want GDX to go higher, you basically draw the line in the sand This is your break-even point GDX has to go higher for you to make money There’s nothing else that you can do in the market where you can be wrong in your assumption and still have a very high probability of success and making money Again, trading with options, it’s like having an unfair advantage and we can use some of these overbought and oversold ranges to give us a little bit more of an edge in how we choose which direction that we go after Again, one of the more popular ways to predict the market’s next move is with technical analysis Over the years, I’ve evolved as a trader in that I would much rather focus on the numbers-based approach to technical analysis versus a chart pattern approach, what you’ll often see, whether you’re a new trader or not, is you’re eventually going to see things like support and resistance This is a really big one for new traders, very easy to understand, but the assumption that there are support and resistance levels out there, chart patterns like candlestick patterns that basically build these patterns over the course of a couple days based on the open, high, close, low, etc Then there will also be traditional chart pattern like head and shoulders tops and cup and handles and pennants and flags, things like that In my honest opinion, a lot of those are subjective in nature What might look like a head and shoulders top to you, might also look like an up-trending pennant to another person The reality is that since I’m generally more of a math and numbers trader and I base a lot of my trades on probabilities and statistics, I would prefer to use technical indicators that give me clear buy and sell signals on the charts, not these assumptions about chart patterns, not that you can’t do very well with those and some guys do, but I do not think that they are … I think that they are the exception to the rule, not the rule If I even just look at GDX here, I can basically draw a bunch of different chart patterns and say, “Okay, this is basically the trend line that GDX followed No, wait This is the trend line that GDX followed No, wait This is the support and resistance zone that GDX follows No, wait This is the support and resistance zone that GDX follow,” right? There are so many different things that I can do here to basically assume all of these things I want GDX to be I want it to be a bullish move, or I want it to be a break out I can draw trend lines and chart patterns, and I can look at candlesticks to basically get that That’s why I don’t usually rely on them because I want more of a math-based approach I want something that’s been proven to work, not something that’s more subjective in nature The real question then becomes which indicators really work? That’s what we want to get into towards the last half of this video Now, which ones actually are reliable enough to trade long term? Again, the question you might ask yourself is should I be using simple moving averages, SMAs, or stochastics or MACD or RSI? If you’ve been trading for any amount of time, you probably use one of these or maybe a handful of these, but the reality is that you don’t know which ones actually really work, which ones are proven to work long term Again, which ones actually generate profitable trades that outperform the market? Even if XYZ indicator works, meaning it generates good signals, reliable signals, does it generate

profits on those stock signals? That’s a good question to ask Back in 2014, we actually purchased our own historical data and developed an in-house program to back test technical analysis indicators Once we had everything in place, we basically started bask testing hundreds of stocks and indicator variations, covering the last 20 years of market data After 12 months of non-stop back testing and analysis, we basically packaged up everything that we had discovered and put it into one single comprehensive report Now, this report is Signals You can purchase a copy of this report on our website It is something that we do sell, one of the very few things that we sell here, but it is something that I think is extremely valuable and I am not giving away for free because it’s basically 20 years of data; 223 different stocks that were in this back testing report, 17 different indicators that we looked at, 1,476 different variations What I mean by variations is we tested everything from a one-day moving average to a 10-day to 11-day or 12-day I mean we tested everything that we could possibly test to see what really worked We tweaked the system as much as humanly possible and we’ll actually go through some of those examples here in this video At the end of the day, we ended up tracking and testing and analyzing 17.34 million trades, so probably what I found to be the most comprehensive report on technical analysis out there I do not believe anybody else has covered this as much as we have We were basically looking for the answer to three questions, three questions that I had gotten time and time again from our members here over the last eight years, questions that I had myself The number one question is: is technical analysis more reliable than randomly picking a stock’s direction? Number two, if it is, can you generate more money using technical analysis than holding the SPY on a consistent basis? The SPY is considered the market portfolio, or the [fission 00:16:56] portfolio Number three, if you can generate that excess return, what are the specific indicators and settings that work best long term? Of course, I’m not going to show you all of the results in this video today because you do have to purchase a copy of the report to see what works, but I want to quickly cover three case studies and insights that we learned from the report which will help you with technical analysis, regardless of if you purchase a copy of Signals or not The first one that we’re actually going to go over is just a simple moving average Now, most of you should know what a simple moving average is but if you don’t, you basically buy the stock whenever the stock crosses above this orange line here which is the simple moving average In our case, on the chart here was a 30-day simple moving average of whatever stock we were looking at When we actually gave or did all the back testing for simple moving averages, and we did 15 different variations within this for one set of these indicators, we basically tested a simple moving average from 15 days, 20, 25, 30, 40, 50, etc., etc., etc Then what we also did, and this is where the change really started to shape in how we figured out what indicators really worked and what didn’t, is we looked at a simple moving average crossover We looked at basically a signal of if the 20-day moving average crosses above or below the 50, if the 20 crosses above or below the 100, if the 20 crosses above or below the 200, etc., etc., etc. what you’ll actually notice in here is that the win rate in these trades in these trades went up dramatically when we actually started to use the simple moving average crossover You see, the simple moving average by itself was not actually that reliable It had a very low win rate, had very low overall net profitability, but when we started to look at the crossover, we saw that the profitability jumped and the win rate in the trading jumped as well We really didn’t see anything in the simple moving average that was above a 50% win rate Okay, so I’m not going to show you obviously the best indicators that we found, but this is just one example of something that we started to uncover, and that’s as you start to use a couple more indicators, indicators that intersect and cross and start to show momentum, that ended up being a little bit more reliable Another example of this is stochastics Stochastics is one of the most popular trading indicators out there I probably would say probably one of the top five most popular talked about trading indicators out there Again, you can see how it works here on this chart We basically would buy with a cross and sell with a cross, or you could buy in these oversold and overbought regions and virtually the same thing happened when we started testing stochastics We tested it on its full basis, meaning we tested the lines crossing above and below each other, and then we also, basically on the back half of our testing for stochastics, also tested to see if those lines crossing in an overbought or oversold range, meaning in a reading of around 20 versus crossing at a reading of around 70, 20 versus 80, 30

versus 70, etc., etc Did that produce better results? Basically, did overbought and oversold regions produce better results overall? Again, the answer was yes As far as overall profitability, it was stochastics It produced a much better result Using stochastics in its raw, full variation and term really did not produce profitability on any scale or shape, in any variation of the many different signals and moving averages that we tested Once we threw in this additional component here of basically requiring that the signal was produced in an overbought or oversold region, it really kind of led the signal to profitability Now, as an overall win rate, it also increased the win rate, again, across the board for stochastics It actually was fairly a high probability of winning on this trade, meaning it had a high win rate, but generally speaking, profitability over the 20-year term of 1% or 7% or 3% was really not that high It dramatically underperformed the benchmark In fact, there were many other indicators that were much better than stochastics We actually kind of wrote up stochastics as one of the lowest performing indicators out there Again, you can see the concept here of using multiple ways that you can look at technical analysis Final example we want to go through here is the APO Okay, so APO is the absolute price oscillator, and this is a very simple indicator Most people like this because you basically have this purple line right here in the middle of your indicator chart Whenever the line is above that middle indicator line or that zero barrier, you basically buy Whenever it crosses below, you basically sell It crosses above you buy, etc., etc., etc., okay? This is a price oscillator Now again, what we found here with this price oscillator is that the longer-term price oscillators, basically the first one that we tested was a 10-day versus a 26-day, and the last one that we tested was a 20-day versus a 26-day Well, what we found is that the win rate is dramatically higher when we start testing a little bit longer-term indicators, meaning you can’t really pick a very good indicator as far as high win rate when you have a very short window of opportunity, meaning the timeline between indicators changing over is very short In this case, the shorter indicator, although it had a lower win rate overall of 31.06%, did produce a higher profit In this case, it was more profitable even though it lost, meaning that the times that it won, it won really big; the times that it lost, it didn’t lose that much The reality is that the win rate with the higher, longer-term moving averages was much more attractive on a long-term scale, especially as an options trader I’m more concerned with the win rate in this column here being able to appropriately assume or pick the next direction 68% of the time I can build a strategy that profits from that with that margin for error that we talked about I don’t necessarily care that it was marginally profitable on the stock basis because I would rather see it be very, very profitable directionally so that I can build a strategy around that, okay? Again, these are three really cool examples that kind of help give you a little bit of insight into how we built out this technical analysis report in this research report at Signals Again, these were not the best indicators We obviously saved those for those of you who do buy a copy of the report I think the key here that I want to get across is that some of the basic indicators that are out there right now are actually not that profitable and you have to really dig deep to find the ones that give you great profitability and a great win rate Again, the point here is that the right technical analysis indicators can help you make more profitable trades In our view, the top five indicators that we found generated winning trades 82% of the time and outperformed the market by 2,602% on average Now, that’s just on the stock basis That’s not including any options that might have been on top of that When it comes to options trading, selling options based on the high-probability strategies with defined risk always outperforms even the best technical indicators Even the best, best, best signal that we found still did not produce a potential gain that was better than trading options Again, for us, technical analysis can be a supporting factor in your decision to go long or short a stock directionally, but it should never be the only factor As we talked about in the beginning of this video, what’s more important than picking the directional assumption of a stock is making sure that your portfolio has good balance because you can trade any stock in any direction and basically get the same probability of success and the same payout with options

Yes, you can use technical analysis if you want to, you know, just get a little bit better understanding of where the stock may or may not go, based on the signals that we provide, but it’s not required to be successful trading options, and that’s the key point that I want to get across in this video As always, hope you guys enjoyed this video Thank you so much for watching If you have any comments or feedback, please let me know Any questions about the Signals report, please ask them in the comment box right below If you love this video, thought it was really helpful, please help us spread the word about what we’re trying to do here at Option Alpha Share this video online, send it to a friend, a co-worker or a family member and until next time, happy trading