Predicting which way crypto asset’s price is going up or down is not easy, and that’s why there are indicators. Crypto indicators are instruments paired with technological analysis to help traders forecast the market fluctuations of cryptocurrencies with greater precision. Technical research depends on historical evidence to include statistical models of possible market behavior, and these models are converted into indicators. The formula data is then drawn on a graph, placed alongside or overlaid on a trading table, thereby allowing traders to make decisions.
Even if trading metrics can not forecast market fluctuations with 100% precision, their rationale is that price movement has momentum. The more price momentum we see in a certain direction, the harder it is to avoid them. Therefore, indicators use diagrams and formulas to provide a better image of what buyers and sellers are going to do next.
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1. Indicator of MYC Trade
The MYC Trading Predictor is a private predictor that uses a combination of pattern analysis and momentum oscillators to reliably evaluate when a cryptocurrency reaches a bullish or a bearish period.
The main characteristic of the predictor is the trend line, which, when the price crosses upwards, a long signal can be printed and, conversely, when the price crosses downwards, means that a short signal can be printed. Unlike other public metrics such as the RSI and Bollinger Bands, this metric offers a suggested entry point and an exit point so that traders can concentrate more on evaluating the scale of their position or leverage.
The predictor can be used for the following trading pairs along with it; below are the percentage and precision of the predictor:
BTC – Return: 200%, Accuracy: 70 percent
ETH – Return: 200%, Accuracy: 70 percent
LTC – Return: 250%, Accuracy: 70 percent
BCH – Return: 100%, Accuracy: 75%.
ETC – Return: 350 percent, Precision: 70 percent
EOS – Return: 250%, Accuracy: 70 percent
TRX – Return: 650 per cent, Precision: 90 percent
LIN – Return: 350 percent, Precision: 90 percent
Getting Started by:
To get started with the MYC Trading Indicator, simply follow the instructions below.
1) If you have a Telegram Messenger program, you can get started by contacting the admin by sending a message to @MYCSupport, which will allow you access to verify the predictor for yourself. If you don’t have a Telegram Messaging program, you can still get started by sending an email to firstname.lastname@example.org.
2) You can also enter the free crypto signal group: MYC Signals, so you can see for yourself the output of the indicator by getting live trades.
3) Access to the indicator can be charged with any cryptocurrency by contacting the admin on Telegram or by credit card on their payment website.
2. Relative Index of Power (RSI)
Created about 40 years ago by Welles Wilder, a technical analyst, the RSI indicator allows traders to detect when Bitcoin’s price is too far from its “real” value, thereby helping traders take advantage of it the market itself corrects. Using RSI, traders can know perfect trading entry points, and over time this Bitcoin metric has proved to be an invaluable method for trading volatile crypto markets.
The RSI uses a complex algorithm to decide whether an asset, in this case, Bitcoin, is over-purchased or over-sold. The formula returns a value between 0-100 that can be displayed on the map using an oscillator – a wave-type pattern.
RSI = 100 – 100/1 + RS
RS = Close Average of X Periods / Close Average of X Periods
X = It is preferred to use 14, but you can use any number you want.
An asset is called over-sold or undervalued when the RSI falls below 30. On the other hand, it is known to be over-purchased if the RSI reaches 70.
It’s quick to identify when the asset can cool off and for a brief amount of time, and this can be seen if the map is in the over-purchased territory. When the RSI has reached 70, you should be confident that there will be a pullback.
The RSI also indicates that the commodity has hit the depletion point after sustained bleeding by returning the “over-sold” value. This is anywhere below 30, which means that it is very likely that the bulls will gain over and push the market upwards.
3. Bollinger Bands
Created in the 1980s by John Bollinger, a financial analyst, Bollinger Bands is used by traders for technical research. They act as an oscillator measurer, showing whether the stock has a high or low variance or whether there are over-purchased and oversold situations.
The key concept behind this Bitcoin indicator is to demonstrate how values vary over the average value. The Bollinger Bands consist of an upper band, a moving average line, and a lower band. The two outer bands are responding to market price behavior. They increase (move away from the middle band) when the volatility is high and contract (move closer to the middle band) when the volatility is minimal.
Traditional Bollinger Band formulas set the centerline as a 20-day single moving average (SMA). As for the top and bottom bands, they are measured based on market uncertainty.
Middle line: 20-day single moving average (SMA)
Upper band: 20-day SMA + 20-day standard deviation (x2)
Lower band: 20-day SMA – 20-day standard deviation (x2)
According to this environment, at least 85 percent of the market data shifts between the upper and lower bands but can be changed according to various trading techniques and needs.
Therefore, if an asset’s price crosses the moving average and crosses the upper Bollinger Lines, it is fair to assume that the economy is in an over-extended (over-extended) state. If the price touches the upper band many times, it may be a symbol of a substantial amount of resistance. On the other hand, whether the price declines dramatically and crosses or touches the lower band many times, it is an example of an over-sold market, or the price has found a high support range. Bollinger Bands are also ideal for short-term trading since you can evaluate price fluctuations and attempt to forecast the changes that are likely to occur.
4. Moving Average (MA)
The Moving Average indicator is used to smooth market activity over a given period of the Bitcoin metrics. MA is a lagging predictor, indicating that it is based on past market activity. There are two types of moving average; the simple moving average and the exponential moving average. As a dealer, the MA you prefer depends on your type of trading. So, if you’re a short-term trader, a shorter MA is more effective for your trading type, whereas a longer MA is ideal for a long-term trader. In trade, MA serves as a means of encouragement or opposition.
MA slopes will help a trader identify a pattern, and doing so is very easy. When you point out that the MA is sloping upwards, it means that the commodity is either upward or valued. But, if the MA is going down, that means the commodity you’re measuring is going down or losing price. The chart below displays the shift in slope at the top, which signals the price of joining the downtrend.
It is important to remember that the MA is a lagging predictor. Thus, a moving average slope will only help you identify a pattern. As a result, a single moving average is not accurate enough to chart the transition from an uptrend to a downtrend.
Moving average crossovers are another common trading indicator. You ought to have two or three MA’s on your map to swap crossovers. You should only use two crossovers to prevent cluttering the map to ensuring that one of the moving averages (MAs) is longer than the other.
When you have a short-term MA and a long-term MA on your chart, look out for the crossovers. This is what they mean: if the short MA crosses over the long MA, this is a bullish trading warning. But when the short MA sinks below the long MA, this is a bearish selling warning. The chart below illustrates how, after the 9 MA, BTC triples past the 50 MA on the 1D chart, forming a bullish cross.
5. Transfer Convergence Average / Divergence (MACD)
Better known as the Moving Average Convergence / Divergence (MACD), this is one of the most common Bitcoin metrics for cryptocurrency trading. This is due to its versatility and the potential to have powerful crypto trading signals. The MACD represents the following trend tracker that highlights when the short-term market momentum goes in the same direction as the long-term price momentum. In situations when it is not, it is used to assess whether the trend shift is closer. The MACD consists of four components: the MACD line, the signal line, the zero line, and the histogram.
To get the MACD line, deduct the 26-EMA from the 12-EMA line. EMAs are used over standard MAs to increase the sensitivity to shifts in patterns and price momentum.
By default, the signal line is the 9-period EMA as the signal line is paired with the MACD line, where the two lines intersect, diverge and cross forms the basis for many trading signals.
The zero lines are the stage where the MACD line is zero. Both the 26-period EMA and the 12-period EMA are the same on this side.
The histogram indicates the difference between the MACD line and the signal line. It may be either positive when the MACD line is behind the signal line or negative when it is above the MACD line.
Unlike other Bitcoin metrics, the MACD does not have an unlimited range; thus, it is not ideal for determining over-sold and over-purchased situations.
When two oscillating lines cross over, the two typical trading signals produced using the MACD include: bullish – where the MACD crosses the signal line or bearish – where the signal line crosses the MACD line. And because these crossovers happen very frequently, you might encounter a lot of false positives. Therefore, it is easier for you to blend these signs with others to make better trading decisions.
If the MACD line and the signal line grow together, this is called a bullish symbol and reflects a positive energy boost. But if the MACD is dropping, that’s a bearish indication and shows the rising negative momentum.
You may use MACD to find market difference zones, providing a trading signal. A bullish difference is observed when the price is lower, while the MACD prints better, or the price is lower when the MACD prints lower.
Consequently, a bearish difference is observed where the price is higher, and the MACD is smaller, or when the price is lower, while the MACD is higher. The chart below indicates a condition where the price is lower while the MACD is lower, suggesting a trend reversal is inevitable.
6. Retracement of Fibonacci
This measure forecasts the possible level of support and resistance for the market movement of the commodity. The term Fibonacci derives from the Fibonacci sequence generated by Leonardo Pisa, an 11th-century mathematician. The Fibonacci series is constructed from the sum of the preceding two numbers, with each number approximately 1,618 times of the previous number. The consequence is a value known as ‘phi’ or ‘golden ratio,’ which has a curious association with almost everything in nature.
And as markets evaluate market behavior, this pattern applies to the bank. This helps one to infer levels from a pattern that is likely to respect the price. This is done by separating the peak to the maximum distance by the phi and other in the series. Other primary ratios include 0.382 and 0.236. If you gain experience trading, you can know that price responds to these amounts regularly; thus, it can give you optimum entry and exit points.
However, before using Bitcoin metrics such as this one to define possible help or resistance thresholds, you need to be able to spot “swing high” and “swing low.”
A swing high is a candlestick at the top of a trend at any given period with a lower height on its edges, whereas a swing low is the highest candlestick of a trend and is lower on either side. When you find these points, you can pick a Fibonacci retracement method in your trading program and link a low to high swing.
This way, you will be able to create future levels of funding, also known as retracements. Each support degree is obtained by dividing the vertical distance by the ratios within the Fibonacci series.
7. Stochastic Oscillator
Trading indicator, such as the Stochastic Oscillator, display momentum by contrasting the closing price with its high-low range over a defined span. The positive news is, this indicator performs excellently, no matter how volatile it is.
Its formula looks like this:
Slow percent K = 100 [Summ of (C – L14) percent K Slowing period / Summ of (H14 – L14) percent K Slowing period]
Slow Percent D = SMA Slow Percent K
When C is Latest Close, L14 is the lowest low for the last 14 periods, H14 is highest for the same 14 periods, and K is 3.
However, there is no need to worry about the estimate, as the chart tools and trading sites will process the formula and provide you with a stochastic oscillator, as you will see in the chart below. All that is required is to know how to use the oscillator to make the best of your efforts.
The indicator reads on a scale of 0 to 100 with an area above 80, indicating over-purchased conditions and one below 20 reflecting over-sold conditions. Trend reversal signals occur when the percent Kline and the percent D line cross over the oversold (below 20.00) or oversold (above 80.00) area.
8. Cloud of Ichimoku
The Ichimoku Cloud predictor consists of five lines, with each line representing averages over specific times, with the trader can decide how long they need to be. They reflect some of the most visual bitcoin metrics, which makes it easy to understand. They also specifically characterize support and opposition, classify pattern position, gauge momentum, and provide numerous trading signals.
When two lines intersect, the space behind them is shaded in, thus creating a “cloud.” Thus, when the price is above the cloud, it means that the trend is up, and if the price is below the cloud, the trend is down. If you see the cloud itself is going in the direction of the price, then the pattern is very high.