Category: Forex Trading

The closer the resulting value is to 0 and 1, the more accurately the neural network solves the problem. Now let’s build the simplest neural network with three neurons to solve the XOR problem and https://forexhero.info/ train it using gradient descent. The problem itself was described in detail, along with the fact that the inputs for XOR are not linearly separable into their correct classification categories.

Targets and Error function

The choice appears good for solving this problem and can also reach to a solution easily. The XOR-Problem is a classification problem, where you only have four datapoints with two features. The training set and the test set are exactlythe same in this problem. So the interesting question is only if the model isable to find a decision boundary which classifies all four points correctly. Artificial neural networks (ANNs), or connectivist systems are computing systems inspired by biological neural networks that make up the brains of animals.

MGMT 4190/6560 Introduction to Machine Learning Applications @Rensselaer

On the surface, XOR appears to be a very simple problem, however, Minksy and Papert (1969) showed that this was a big problem for neural network architectures of the 1960s, known as perceptrons. In the case of XOR problem, unsupervised learning techniques like clustering or dimensionality reduction can be used to find patterns in data without any labeled examples. For example, we can use k-means clustering algorithm to group input data into two clusters based on their features. RNNs suffer from the vanishing gradient problem which occurs when the gradient becomes too small to update weights and biases during backpropagation. This makes it difficult for them to learn long-term dependencies in data.

1. These hidden layers allow the network to learn non-linear relationships between the inputs and outputs.
2. If the input is the same(0,0 or 1,1), then the output will be 0.
3. It is the setting of the weight variables that gives the network’s author control over the process of converting input values to an output value.
4. As we move downwards the line, the classification (a real number) increases.

Need for linear separability in neural networks

The neurons in the layer above provide inputs to every neuron in these layers. Weights are a set of parameters learned during training, multiplied by the inputs before being added together. If we change weights on the next step of gradient descent methods, we will minimize the difference between output on the neurons and training set of the vector. As a result, we will have the necessary values of weights and biases in the neural network and output values on the neurons will be the same as the training vector. To solve the XOR problem using neural networks, one can use either Multi-Layer Perceptrons or a neural network that consists of an input layer, a hidden layer, and an output layer. As the neural network processes data through forward propagation, the weights of each layer are adjusted accordingly and the XOR logic is executed.

We can therefore expect the trained network to be 100% accurate in its predictions and there is no need to be concerned with issues such as bias and variance in the resulting model. XOR is a classification problem and one for which the expected outputs are known in advance. It is therefore appropriate to use a supervised learning approach. For the XOR problem, we can use a network with two input neurons, two hidden neurons, and one output neuron. The AND logical function is a 2-variables function, AND(x1, x2), with binary inputs and output. Now that we have defined everything we need, we’ll create a training function.

To solve the XOR problem with LSTMs, we need to use a network with one input neuron, two hidden layers each with four LSTM neurons, and one output neuron. During training, we adjust weights and biases based on the error between predicted output and actual output until we achieve a satisfactory level of accuracy. In the case of multi-layer feedforward networks, backpropagation helps in solving the XOR problem by adjusting weights and biases at each layer based on the error between predicted output and actual output. This allows the network to learn complex patterns in data by using multiple layers of neurons. Neural networks have revolutionized artificial intelligence and machine learning.

We need to look for a more general model, which would allow for non-linear decision boundaries, like a curve, as is the case above. Out of all the 2 input logic gates, the XOR and XNOR gates are the only ones that are not linearly-separable. The algorithm only terminates when correct_counter hits 4 — which is the size of the training set — so this will go on indefinitely. To visualize how our model performs, we create a mesh of datapoints, or a grid, and evaluate our model at each point in that grid. Finally, we colour each point based on how our model classifies it. So the Class 0 region would be filled with the colour assigned to points belonging to that class.

In these fields, it’s critical to understand the decision-making process. In this project, I implemented a proof of concept of all my theoretical knowledge of neural network to code a simple neural network from scratch in Python without using any machine learning library. In some practical cases e.g. when collecting product reviews online for various parameters and if the parameters are optional fields we may get some missing input values. In such case, we can use various approaches like setting the missing value to most occurring value of the parameter or set it to mean of the values. One interesting approach could be to use neural network in reverse to fill missing parameter values. For, X-OR values of initial weights and biases are as follows[set randomly by Keras implementation during my trial, your system may assign different random values].

For learning to happen, we need to train our model with sample input/output pairs, such learning is called supervised learning. Supervised learning approach has given amazing result in deep learning when applied to diverse tasks like face recognition, object identification, NLP tasks. Most of the practically applied deep learning models in tasks such as robotics, automotive etc are based on supervised learning approach only. Other approaches are unsupervised learning and reinforcement learning. Minsky and Papert used this simplification of Perceptron to prove that it is incapable of learning very simple functions. Learning by perceptron in a 2-D space is shown in image 2.

A good resource is the Tensorflow Neural Net playground, where you can try out different network architectures and view the results. Let’s train our MLP with a learning rate of 0.2 over 5000 epochs. Let’s bring everything together by creating an MLP class.

Notice the left-hand side image which is based on the Cartesian coordinates. There is no intuitive way to distinguish or separate the green and the blue points from each other such that they can be classified into respective classes. xor neural network This exercise brings to light the importance of representing a problem correctly. If we represent the problem at hand in a more suitable way, many difficult scenarios become easy to solve as we saw in the case of the XOR problem.

These networks are especially well-suited for sequential data processing, in which the context and sequence of the data points play a critical role. However, disappearing or exploding gradients pose a problem for RNNs when dealing with extended sequences, making training stable and efficient RNNs difficult without gating mechanisms. That’s why they are often called “black boxes.” These models have an intricate structure. They have possibly millions of parameters and nonlinear transformations. This structure makes it hard to understand how they work. It’s especially true in industries like healthcare and law.

Na tej podstawie podejmowana jest decyzja odnośnie podwyżki dla konkretnej osoby. Poniżej znajdują się informacje na temat przetwarzania Twoich danych osobowych przez GoWork.pl Serwis Pracy Sp. Dodaj pomocną opinię, Zbliżające się groźba obowiązkowych zakupów może wkrótce zniknąć w Europie po nowej propozycji którą sam chciałbyś przeczytać o swoim potencjalnym Pracodawcy. Podziel się swoimi przemyśleniami, a poniższe przykłady możesz potraktować jako podpowiedzi o czym Użytownicy lubią czytać odwiedzając profile firm.

1. Według mnie w jakimś stopniu mógł zainspirować Marka Futregę…
2. ArenaOdigo pozwalała spotkać w sieci inne osoby, które odwiedziły daną stronę WWW, dając możliwość porozmawiania w czasie rzeczywistym (Chat), indywidualnie i grupowo.
3. Pomimo tego wszystkiego portal Arena.pl nie utrzymał się długo na rynku.
4. Praca w sama sobie nie jest może zła tylko mało ludzi do pracy i dużo obowiązków.
5. Do założenia słynnego portalu gier online Kurnik.pl.

Opinie o sklepie Rena.pl

Dowiedz się, jak wybrać rozmiar rolety w kasecie na swoje okno. Zobacz, w jaki sposób zmierzyć okna i dobrać do nich odpowiednie mini rolety. Chcielibyśmy zaznaczyć, iż od czasu do czasu może się zdarzyć, że pominiemy potencjalnie złośliwe oprogramowanie. Aby zapewnić sprawiedliwe i konkurencyjne środowisko, ta gra online współpracy jest wyposażona w solidne środki antycheatowe i oferuje system raportowania w grze. Tak ekscytująco, jak to brzmi, ważne jest zauważenie, że gra obecnie znajduje się w fazie zamkniętej bety. Spokojnie, dodanie wyjątku nie wyłączy blokowania reklam.

Roleta klasyczna w kasecie PCV Biała

Super kontakt ze sprzedającym a karnisze takie jak w opisie. Mimo wysyłki paczki za granice wszystko poszło bardzo szybko i sprawnie. Jestem bardzo zadowolona i oby więcej takich sprzedających. Jak na swoją cenę rolety są świetnej jakości, każda w niestandardowych wymiarach, ustalenia dokonywane przez maila – wszystko w najlepszym porządku.

Roleta dzień noc w kasecie aluminiowej Biała

Odpowiadał za to w dużym stopniu brak zysków z e‑handlu i nieodpowiednie przychody z reklam. Degrengoladę finansową Areny przypieczętowała natomiast nieudana próba emisji akcji finansującej ją spółki na Giełdzie Papierów Wartościowych w czerwcu 2001 roku. Upadek Arena.pl był też końcem podległej mu wyszukiwarki zwanej Polskim Infoseekiem. Z perspektywy czasu porażki Areny można dopatrywać się tym, że w Polsce już 20 lat temu było miejsce najwyżej dla kilku tego typu serwisów. Swoją drogą Wirtualna Polska będąca dzisiaj potęgą medialną w 2004 r.

Opinie użytkowników o Arena Breakout: Infinite

Zadbaj o kulturę pozytywnego feedbacku, nie pisz tylko negatywnych informacji o Pracodawcy, zwróć uwagę na stosowne aspekty i realia w swojej opinii. Wspólnie zadbajmy Metatrader 5: Funkcja platformy o sens merytorycznych opinii. Rozmowa przeprowadzana w miłej atmosferze, szkoda tylko, że po wszystkim firma nie przekazuje informacji o wyniku rozmowy.

Zostaw merytoryczną opinię o Rena Polska Sp. z o.o. – Wykroty

Też była bliska upadłości (1, 2, 3) i pewnie jakby do tego doszło, tak jak o  Arenie dzisiaj prawie nikt by o niej nie pamiętał. Jednak w życiu wielkie znaczenie odgrywa niepoddawanie się nawet w chwili największego kryzysu. To spowodowało, że Wirtualnej Polsce udało się przemóc kryzys finansowy, a włodarze Areny poddali po pierwszych większych niepowodzeniach finansowych. To właśnie różni zwycięzców od przegranych. Arena.pl jednak pomimo swego niespełnienia i efemeryczności dużo nowatorskiego zrobiła w polskim internecie. Choćby to, że jako jeden z pierwszych polskich portali internetowych posiadała własny sklep internetowy, kącik randkowy i możliwość grania online.

Aby czytać nasze artykuły wyłącz AdBlocka/uBlocka lub dodaj wyjątek dla naszej domeny. Dla nie lubiącego kupować w sieci internauty dużo ciekawiej prezentował się drugi sektor portalu zwiący się „Między Nami Arenautami”. Użytkownicy Areny mogli się na nim komunikować między sobą za pomocą czatu. Poza tym posiadali dostęp do kącika randkowego, który wśród arenautów cieszył się sporą popularnością.

Gwarantujemy wysoką jakość i 12-miesięczną gwarancję produktów. Postaw na połączenie designu i funkcjonalności w najlepszej cenie. Rolety dzień noc to nowoczesny sposób zasłaniania okien. Dwie warstwy materiału, na które składają się naprzemiennie ułożone pasy kryjące i przezroczyste, pozwalają uzyskać optymalne zaciemnienie pomieszczenia. Sklep internetowy RENA.PL oferuje bogaty wybór rolet tego typu – to doskonałe rozwiązanie do każdego pomieszczenia w domu – kuchni, salonu, sypialni czy pokoju dziecięcego. Funkcjonalne rolety dzień i noc z powodzeniem zastąpią firany czy zasłony, zapewniając skuteczną ochronę przed słońcem.

Rozmowa kwalifikacyjna na stanowisko magazynier – kierowca trwała 15 minut. Żadnej informacji o zarobkach nie uzyskałem. Pierwszy etap rozmowa, Drugi etap przywieź świadectwa pracy, przegląd Wolny margines: Jak to jest obliczać, przykłady – Globe Trader wnikliwy. Nie polecam, kontakt z nimi to totalna porażka. Dajcie sobie spokój, nie wysyłajcie nawet cv. Serdecznie zapraszamy do współpracy sklepy, hurtownie i firmy dekoratorskie.

Dzięki możliwości modyfikacji broni za pomocą ponad 500 akcesoriów w ponad 30 slotach na broń, gracze mogą tworzyć broń palną, która idealnie pasuje do ich stylu gry. Każdy pracownik oceniany jest indywidualnie, w oparciu o poziom i jakość wyników realizowanych na danym stanowisku pracy. Uważamy, że najlepszą formą komunikacji jest bezpośrednia rozmowa, to podczas niej oceniane są dotychczasowe wyniki, efekty działań oraz oczekiwania względem przyszłych aktywności i ścieżki rozwoju.

Yes, the Inverted Hammer Candlestick Pattern is profitable if used with proper trading strategies. The profitability of the Inverted Hammer candlestick pattern, like any trading pattern, is not completely guaranteed. The effectiveness of all the above-mentioned steps depends upon traders ability to learn and adapt. Traders will benefit the most  if they evaluate the effectiveness of the Inverted Hammer pattern in different market conditions and refine their approach based on experience. Trading success depends on consistent practice, analysis, and response to shifting market conditions.

What is the difference between a hammer candlestick and a shooting star?

This pattern forms when the open, low, and closing prices of an asset are close to each other and have a long upper shadow. The shadow in a candlestick chart is the thin part showing the price action for the day as it differs from high to low prices. While traders will frequently use this doji as a signal to enter a short position or exit a long position, most traders will review other indicators before taking action on a trade.

How Accurate Is the Hanging Man Pattern?

The inverse hammer candlestick and shooting star patterns look identical but are found in different areas. The long-legged doji is a type of candlestick pattern that signals to traders a point of indecision about the future direction of a security’s price. This doji has long upper and lower shadows and roughly the same opening and closing prices. In addition to signaling indecision, the long-legged doji can also indicate the beginning of a consolidation period where price action may soon break out to form a new trend. These doji can be a sign that sentiment is changing and that a trend reversal is on the horizon.

Join over 50 million traders who trust TradingView!

Both patterns highlight moments of hesitation and shifting momentum in the market, providing valuable insights for traders and investors looking to capitalize on trend reversals. The inverted hammer bears resemblance to other patterns, such as the doji candle. While the doji has a minimal body, the inverted hammer has a small body with a long upper shadow. The inverted hammer, aka inverse hammer, signifies that the bulls are taking control of the bears. Having an inverse hammer candlesticks form is not enough to be a reversal by itself.

Downside Tasuki Gap

Other traders believe that the Inverted Hammer is not as reliable as other patterns because it is easily faked. They argue that sellers can create an Inverted Hammer pattern by simply selling into a rally and then buying back in at the end of the day. The Inverted Hammer Candlestick Pattern is highly accurate for technical analysis. The accuracy of the Inverted Hammer candlestick pattern in technical analysis varies depending on several factors. The Inverted Hammer Candlestick Pattern occurs much more frequently for shorter time frames as compared to longer timeframes.

Below the green inverse hammer was a nice volume bar that signaled the bulls were coming in after the strong push by the bears. Traders enter a long position when the bullish candlestick breaks above the inverse hammer. Stop losses would placed when a bearish candlestick closes below the inverted hammer. Inverted hammer candlesticks have small, real bodies with long upper wicks and almost nonexistent lower wicks. The long upper wick should be at least two times the length of the short real body.

A bullish engulfing pattern formed and was confirmed the next day with a strong follow-up advance. Investors should use candlestick charts like any other technical analysis tool (i.e., to study the psychology of market participants in the context of stock trading). They provide an extra layer of analysis on top of the fundamental analysis that forms the basis for trading decisions.

A doji line that develops when the Doji is at, or very near, the low of the day.

1. However, to signal a bearish shift the market still has some more work to do, needing to close below the Hanging Man candlestick low in the next 1-2 candlesticks.
2. Look for specific characteristics, and you’ll find it becomes a much better predictor.
3. The Inverted Hammer candlestick pattern, just like all the other candlestick patterns, was invented in the Japanese rice trading markets during the 17th and 18th centuries.
4. The Inverted Hammer formation is created when the open, low, and close are roughly the same price.
5. Exits need to be based on other types of candlestick patterns or analysis.

All these advantages make this pattern versatile, because of which it is used in various assets like cryptocurrencies, forex, and currencies. The long lower shadow indicates that sellers were able to push the price down significantly, but buyers were able to rally the price back up and close near the open. Some traders believe that the Inverted Hammer is a reliable indicator of a potential reversal in the trend because it shows that buyers are starting to gain control of the market.

The bearish version of the Inverted Hammer is the Shooting Star formation that occurs after an uptrend. The formation is nearly identical, but the Hammer forms when a downtrend is about to reverse. Some traders believe it is a reliable indicator; many think it is a poor indicator.

In most cases, those with elongated shadows outperformed those with shorter ones. The long shadow means sellers stepped in aggressively at some point during the formation of that candle, causing the open, close, and high prices to be well above the low. As with any trade, it is advisable to use stops to protect your inverted hammer doji position in case the hammer signal does not play out in the way that you expect. The level at which you set your stop will depend on your confidence in the trade and your risk tolerance. If the closing price is above the opening price, then normally a green or hollow candlestick (white with black outline) is shown.

The shape of a hammer should resemble a “T.” This means a hammer candle is possible. Until a price reversal to the upside is established, a hammer candlestick does not signify a price reversal. While there are some ways to predict markets, technical analysis is not always a perfect indication of performance.

The Inverted Hammer’s usefulness, however, is limited in choppy or sideways markets. The Red Inverted Hammer’s upper shadow is very long, signifying the peak price of the asset during that particular period. It demonstrates that despite buyers’ best efforts, sellers ultimately took charge and pushed the price back down.

Confirmation (orange) occurred on the next candle, which gapped higher before being bid up to a close far above the hammer’s closing price. If the price is going aggressively upward during the confirmation candle, a stop loss is put below the hammer’s low, or perhaps just below the hammer’s true body. Candlesticks are so named because the rectangular shape and lines on either end resemble a candle with wicks. Each candlestick usually represents one day’s worth of price data about a stock.

Remember, financial markets are dynamic, and the inverted hammer is just one of many beacons that can illuminate the path ahead. We have a basic stock trading course, swing trading course, 2 day trading courses, 2 options courses, 2 candlesticks courses, and broker courses to help you get started. We will help to challenge your ideas, skills, and perceptions of the stock market.

The long white candlestick shows a sudden and sustained resurgence of buying pressure. White/white and white/black bullish harami are likely to occur less often than black/black or black/white. The bullish engulfing pattern consists of two candlesticks, the first black and the second white. The size of the black candlestick is not that important, but it should not be a doji which would be relatively easy to engulf. The second should be a long white candlestick – the bigger it is, the more bullish. The white body must totally engulf the body of the first black candlestick.

Traders can confidently implement stop losses, trailing stops, and profit targets, all while confirming trend continuity through the interaction of short-term and long-term EMAs. By offering a comprehensive perspective on price action, this strategy empowers traders to make well-informed decisions in trending markets. Generally, simple moving averages and EMA crossovers of two periods occur when different EMA lines intersect. The key idea here is that the interaction of these lines can suggest the possibility of a trend change. This is particularly valuable for traders seeking to enter or exit positions at optimal moments.

Implementing the Moving Average Crossover Strategy

The 20-year period below is a perfect example of how well this methodology can work. It doesn’t always work this perfectly, but overall it is very effective in correctly identifying the trend. Note how the 6-EMA crossed above the 10-EMA at the end of 1994, signaling the beginning of a new long-term bullish trend that lasted until late 2000. In early 2008, there was another downside crossover, which identified the beginning of another bear market even worse than the one before it.

Trading Reversals with the Triple Moving Average Crossover Strategy

A moving average crossover occurs when a quicker moving average crosses over a slower one. However, it’s important to note that MACD is a lagging indicator and isn’t a foolproof indicator. Often, a trend is defined as the general direction of a market over the short, immediate, or long term. A technical tool known as a simple moving average1 (SMA) crossover can help traders identify the lion’s share of a trend. Before diving into the details, let’s first understand what the Moving Average Crossover Strategy entails.

Moving Average Crossover Strategy

Looking at how we could make this type of strategy profitable, the key here is being able to differentiate between the trending and consolidation phases. The main method we can utilise in this example is looking at the price action as the key gauge of whether we are within or breaking from a consolidation phase. The consolidation phase tends to provide us with peaks and troughs that differ from the typical lower highs and moving average crossover lower lows seen within a downtrend. Unlike the longer-term SMA crosses, the sensitive nature of this form of crossover allows for a timelier exit signal. Thus, profitable trades can be exited in a manner than can lock in profits to a greater extent than the long-term strategies. In the figure below, the number of periods used in each average is 15, but the EMA responds more quickly to the changing prices than the SMA.

The Moving Average Crossover Strategy can aid in risk management by providing traders with exit signals. When the short-term moving average intersects with the long-term moving average in the opposite direction, it signals a potential trend reversal. The Moving Average Crossover Strategy relies on the principle that moving averages with different timeframes can help identify trends and potential price reversals.

When there is a slower response time, this could mean that traders are sacrificing less reward and opening themselves up to greater risk. In short, you can’t forecast trends with moving averages – you can only learn about a trend that has already happened. A moving average crossover refers to the point on a chart where there is a crossover of the shorter-term or fast moving average, above or below the longer-term or slowmoving average.

The key to success with this strategy lies in selecting the right combination of EMA settings, with the 9, 21, and 55 EMAs being a proven and effective choice for many traders. These EMAs work in harmony to assess short-term, medium-term, and long-term trends, providing traders with a solid foundation for their trading plans. For instance, crossing below the 50 EMA could signal a reversal from a longer-term uptrend to a downtrend. These EMAs crossovers are also used to identify entry and exit opportunities, but we’ll cover that later in the article. Another thing to note is that moving averages can be applied over any timeframe.

Moving average crossovers are a popular strategy for both entries and exits. While this may appear predictive, moving averages are always based on historical data and simply show the average price over a certain time period. Do you know how to implement a moving average crossover in trading? Effective risk management is a crucial aspect of successful trading.

Moving averages are used to smooth out the short-term price fluctuations of an asset and provide traders with a clearer picture of the underlying trend. They can be applied to any type of asset, including stocks, bonds, currencies, and commodities. Yes, moving average crossovers with shorter time frames can be used for day trading. However, due to the increased frequency of signals and potential volatility, additional confirmation techniques are crucial.

Shorter moving averages are typically used for short-term trading, while longer-term moving averages are more suited for long-term investors. In finance, a moving average (MA) is a stock indicator https://traderoom.info/ commonly used in technical analysis. The reason for calculating the moving average of a stock is to help smooth out the price data by creating a constantly updated average price.

Determine Your Entry PointEnter a long position after confirming the crossover and other signals. Some traders prefer entering immediately upon confirmation, while others might wait for a breakout above the crossover candle or a retest of the moving average as support. But to exploit a trading opportunity early on, you might have to wait until prices and their corresponding moving average cross.

1. Traders should understand the strengths and weaknesses of this strategy and adjust their approach accordingly to achieve success in the markets.
2. Traders use this strategy to help identify potential trends and market reversals.
3. Zacks may license the Zacks Mutual Fund rating provided herein to third parties, including but not limited to the issuer.
4. When it comes to trading moving average crossovers, most traders’ strategies start and end with timing entries and exits.
5. The choice of which moving average you might want to use boils down to the timeframe of your trading window.

Short-term traders might use shorter time periods (e.g., 10-day and 20-day), while long-term traders might use longer time periods (e.g., 50-day and 200-day). Once you’ve entered a trade based on a moving average crossover signal, a crucial aspect is knowing when to exit. Also of importance is that currencies and tradable instruments trend to varying degrees. The 20-day may be of analytical benefit to a shorter-term trader since it follows the price more closely and therefore produces less lag than the longer-term moving average. Let’s take another look at that daily chart of USD/JPY to help explain moving average crossover trading. Because moving averages are a lagging indicator, the crossover technique may not capture exact tops and bottoms.

Since standard deviation is used as a statistical measure of volatility, this indicator adjusts itself to market conditions. Similarly, upward momentum is confirmed with a bullish crossover, which occurs when a short-term moving average crosses above a longer-term moving average. Conversely, downward momentum is confirmed with a bearish crossover, which occurs when a short-term moving average crosses below a longer-term moving average. Moving averages are calculated to identify the trend direction of a stock or to determine its support and resistance levels. It is a trend-following or lagging, indicator because it is based on past prices. The 5-day EMA represents what happened in a trading week (there are 5 trading days in a week).

With Scanz, you can use the Pro Scanner module to create highly customizable moving average crossover scans that fit any trading strategy. To trade this strategy, traders typically look for two moving averages of different lengths, such as a 50-day moving average and a 200-day moving average. When the shorter-term moving average crosses up above the longer-term moving average (also known as a Golden Cross), it is a buy signal. Conversely, when the shorter-term moving average crosses below the longer-term moving average (also known as a Death Cross), it is a sell signal. However, although this is seen as the simplest trading strategy, the Moving Average Crossover strategy for following trends is not without risk.

We have not established any official presence on Line messaging platform. Therefore, any accounts claiming to represent IG International on Line are unauthorized and should be considered as fake. Please ensure you understand how this product works and whether you can afford to take the high risk of losing money. Then draw a line connecting the points to form a moving average overlay, like the kind that is used in most stock charting software.