This report provides a comprehensive analysis of Polygon (MATIC)’s price dynamics, covering technical indicators and moving averages.
Price and Volume Overview
As of 5:36 p.m. UTC on 17 June 2023, on Binance, the price of Polygon (MATIC) is $0.616, with an increase of $0.026 (+4.44%). The volume stands at 129,025,960 MATIC. The bid/ask prices are both $0.616, and the day’s range is between $0.585 and $0.635.
Technical indicators are statistical tools used by traders and investors to predict future price movements and market trends. Here’s a detailed breakdown of the technical indicators for Polygon (MATIC):
- RSI(14): The 14-day Relative Strength Index is 58.190, indicating a buy position. The RSI measures the speed and change of price movements on a scale of 0 to 100. Traditionally, the asset is considered overbought when the RSI is above 70 and oversold when it’s below 30.
- STOCH(9,6): The Stochastic Oscillator is 44.155, indicating a sell position. This momentum indicator compares a particular closing price of the asset to a range of its prices over a certain period of time.
- STOCHRSI(14): The Stochastic RSI is 20.861, indicating an oversold condition. This is a technical momentum indicator that compares the level of the RSI to its high-low range over a set time period.
- MACD(12,26): The Moving Average Convergence Divergence is 0.006, indicating a buy position. The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price.
- ADX(14): The Average Directional Index is 23.221, indicating a sell position. The ADX is used to measure the strength or weakness of a trend, not the actual direction.
- Williams %R: The Williams %R is -38.083, indicating a buy position. This momentum indicator measures overbought and oversold levels.
- CCI(14): The Commodity Channel Index is 23.7566, indicating a neutral position. The CCI is a momentum-based oscillator used to help determine when an investment vehicle is reaching a condition of being overbought or oversold.
- ATR(14): The Average True Range is 0.0087, indicating less volatility. The ATR is a technical analysis indicator that measures market volatility by decomposing the entire range of an asset price for that period.
- Highs/Lows(14): The value is 0.0000, indicating a neutral position. This indicator is used to identify the highest and lowest prices for the asset over a particular period.
- Ultimate Oscillator: The value is 48.379, indicating a sell position. This is a technical indicator that is used to measure momentum across multiple timeframes.
- ROC: The Rate of Change is 3.811, indicating a buy position. The ROC is a momentum oscillator, which measures the percentage change between the current price and the n-period past price.
- Bull/Bear Power(13): The value is 0.0072, indicating a buy position. These indicators measure the balance of power between bulls (buyers) and bears (sellers).
Here is a summary of the technical indicators in table form:
The technical indicators summary shows 5 buy signals, 3 sell signals, and 2 neutral signals, leading to a summary action of “BUY”.
Moving averages are a type of data smoothing technique that analysts use in technical analysis to identify trends in a set of data, such as stock prices. They help to reduce the noise and fluctuation in price data to present a smoother line, making it easier to see the overall direction or trend.
There are several types of moving averages, but two of the most common ones are the Simple Moving Average (SMA) and the Exponential Moving Average (EMA).
- Simple Moving Average (SMA): The SMA is calculated by adding together the prices for a certain number of periods and then dividing by that number of periods. For example, a 5-day SMA would add together the closing prices for the last five days and then divide by five. The SMA gives equal weight to all the data points in its calculation.
- Exponential Moving Average (EMA): The EMA is similar to the SMA, but it gives more weight to recent data. This means it responds more quickly to recent price changes than the SMA. The calculation of the EMA is a bit more complex than the SMA, involving an exponential smoothing factor to give more weight to recent prices.
The significance of different period moving averages (like 5-day, 10-day, 20-day, 50-day, 100-day, and 200-day) lies in the timeframe that traders are interested in:
- 5-day, 10-day, and 20-day moving averages are often used for short-term trends. They respond quickly to price changes and are useful for traders looking to take advantage of short-term price movements.
- 50-day and 100-day moving averages are more medium-term. They are less sensitive to daily price fluctuations and provide a clearer picture of the medium-term trend.
- 200-day moving average is a long-term trend indicator. It’s less sensitive to daily price fluctuations and provides a clearer picture of the long-term trend. Many traders consider a market to be in a long-term uptrend when the price is above the 200-day moving average and in a long-term downtrend when it’s below.
It’s important to note that moving averages are lagging indicators, meaning they are based on past prices. They can help identify a trend but won’t predict future price movements.
Here’s a detailed breakdown of the moving averages for Polygon (MATIC):
- MA5: The 5-day SMA is $0.617 (Buy), and the 5-day EMA is $0.618 (Buy).
- MA10: The 10-day SMA is $0.619 (Sell), and the 10-day EMA is $0.616 (Buy).
- MA20: The 20-day SMA is $0.611 (Buy), and the 20-day EMA is $0.611 (Buy).
- MA50: The 50-day SMA is $0.596 (Buy), and the 50-day EMA is $0.607 (Buy).
- MA100: The 100-day SMA is $0.615 (Buy), and the 100-day EMA is $0.612 (Buy).
- MA200: The 200-day SMA is $0.629 (Sell), and the 200-day EMA is $0.650 (Sell).
Here is a summary of the moving averages in table form:
The moving averages summary shows 9 buy signals and 3 sell signals, leading to a summary action of “BUY”.
The overall analysis of Polygon (MATIC) suggests a bullish sentiment based on the current data. Both the technical indicators and the moving averages are giving BUY signals.
Therefore, traders and investors should exercise caution and consider these factors when making their trading decisions. As always, it’s important to note that while technical analysis tools can provide useful insights, they are not a guarantee of future performance, and all trading strategies should be used in conjunction with other market information and individual research.