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In the previous post, I explained the indicators and their explanations in the stock market. This is a follow up post. #RSI #fibonachi #BOLLlNGER
5. Moving Averages Moving averages show the average of prices over a certain period of time. There are two main types: Simple Moving Average (SMA) and Exponential Moving Average (EMA). Moving averages are used to determine trend direction and analyze support and resistance levels.
6. Stochastic Oscillator The stochastic oscillator measures the position of an asset's closing price relative to its price range within a certain time period. It takes values between 0 and 100. Generally, above 80 is considered overbought and below 20 is considered oversold. This oscillator is used to predict trend reversals.
7. ATR (Average True Range) ATR measures the volatility in the price of an asset. It is calculated by averaging the “true ranges” over a certain period of time. ATR helps understand the magnitude of price fluctuations and how volatile the market is.
8. ADX (Average Directional Index) ADX is used to measure the strength of a trend, but it does not determine its direction. It takes values between 0 and 100. Generally, values below 20 are considered a weak trend, and values above 40 are considered a strong trend. ADX is used in trend-based strategies to evaluate whether the trend will continue or not.
These indicators are used to develop various strategies and make more informed investment decisions when analyzing the stock market. Each provides different information to understand specific market conditions and are often used together to provide more comprehensive analysis
5. Moving Averages Moving averages show the average of prices over a certain period of time. There are two main types: Simple Moving Average (SMA) and Exponential Moving Average (EMA). Moving averages are used to determine trend direction and analyze support and resistance levels.
6. Stochastic Oscillator The stochastic oscillator measures the position of an asset's closing price relative to its price range within a certain time period. It takes values between 0 and 100. Generally, above 80 is considered overbought and below 20 is considered oversold. This oscillator is used to predict trend reversals.
7. ATR (Average True Range) ATR measures the volatility in the price of an asset. It is calculated by averaging the “true ranges” over a certain period of time. ATR helps understand the magnitude of price fluctuations and how volatile the market is.
8. ADX (Average Directional Index) ADX is used to measure the strength of a trend, but it does not determine its direction. It takes values between 0 and 100. Generally, values below 20 are considered a weak trend, and values above 40 are considered a strong trend. ADX is used in trend-based strategies to evaluate whether the trend will continue or not.
These indicators are used to develop various strategies and make more informed investment decisions when analyzing the stock market. Each provides different information to understand specific market conditions and are often used together to provide more comprehensive analysis
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Basic indicators used in the stock market are tools that help investors analyze market movements and make buying and selling decisions. The main ones and their explanations: #RSI #BOLLINGER #fibonachi Continued in the 2nd POST
1. RSI (Relative Strength Index) RSI is a momentum oscillator calculated by the average of the last closing prices of an asset. It takes values between 0 and 100. Generally, above 70 is considered overbought, and below 30 is considered oversold. RSI is used to determine when prices enter overbought or oversold territory.
2. MACD (Moving Average Convergence Divergence) MACD shows the relationship between two moving averages and helps determine the direction and strength of the trend. The MACD includes a “MACD line” (usually calculated by subtracting the 26-day EMA from the 12-day EMA), a “signal line” (usually the 9-day EMA), and a “MACD histogram.” This indicator is used to determine buying and selling points with signals such as crossover and histogram crossing the zero line.
3. Fibonacci Retracement (Fibonacci Retracement Levels) Fibonacci retracement levels are used to determine possible retracement (correction) levels in the price movements of an asset. These levels are calculated based on Fibonacci ratios (0.0%, 23.6%, 38.2%, 50.0%, 61.8%, 100%). Investors make buying and selling decisions by using these levels as support and resistance points.
4. Bollinger Bands Bollinger Bands consist of bands drawn at a distance of two standard deviations around the average of prices (usually the 20-day SMA). The widening of the bands indicates that volatility is increasing, and the narrowing of the bands indicates that volatility is decreasing. When prices approach the upper band, it is interpreted as an overbought signal, and when prices approach the lower band, it is interpreted as an oversold signal.
1. RSI (Relative Strength Index) RSI is a momentum oscillator calculated by the average of the last closing prices of an asset. It takes values between 0 and 100. Generally, above 70 is considered overbought, and below 30 is considered oversold. RSI is used to determine when prices enter overbought or oversold territory.
2. MACD (Moving Average Convergence Divergence) MACD shows the relationship between two moving averages and helps determine the direction and strength of the trend. The MACD includes a “MACD line” (usually calculated by subtracting the 26-day EMA from the 12-day EMA), a “signal line” (usually the 9-day EMA), and a “MACD histogram.” This indicator is used to determine buying and selling points with signals such as crossover and histogram crossing the zero line.
3. Fibonacci Retracement (Fibonacci Retracement Levels) Fibonacci retracement levels are used to determine possible retracement (correction) levels in the price movements of an asset. These levels are calculated based on Fibonacci ratios (0.0%, 23.6%, 38.2%, 50.0%, 61.8%, 100%). Investors make buying and selling decisions by using these levels as support and resistance points.
4. Bollinger Bands Bollinger Bands consist of bands drawn at a distance of two standard deviations around the average of prices (usually the 20-day SMA). The widening of the bands indicates that volatility is increasing, and the narrowing of the bands indicates that volatility is decreasing. When prices approach the upper band, it is interpreted as an overbought signal, and when prices approach the lower band, it is interpreted as an oversold signal.
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#waves accumulated after correction. Waves are at an affordable price for long positions. I showed possible targets on the chart. I wish you good luck. #waves #long #fibonachi
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Why does Fibonacci work in trading?
$BTC It all started in 1202, when Leonardo of Pisa, better known as Fibonacci, presented the world with an interesting sequence of numbers: 0, 1, 1, 2, 3, 5, 8, 13… Each number is the sum of the two previous ones. that. Simple, right? However, this sequence revealed one of the greatest mysteries of nature.
The Fibonacci sequence appears everywhere: the spiral of a seashell, the petals of a sunflower, the branches of trees—even the structure of galaxies. These patterns correspond to the golden ratio (1.618), a universal blueprint of balance and proportion.
The Fibonacci sequence appears everywhere: the spiral of a seashell, the petals of a sunflower, the branches of trees—even the structure of galaxies. These patterns correspond to the golden ratio (1.618), a universal blueprint of balance and proportion.