- EMA (Exponential Moving Average)
EMA, also known as the EXPMA indicator, is a trend-following exponential moving average indicator. EMA places more weight on today's price than yesterday's price because current prices better reflect recent market fluctuations. It offers more stable performance in weekly trading as fewer golden crosses and death crosses form, but it can react quickly when these crosses do occur.
A golden cross occurs when the short-term line crosses above the long-term line. A death cross occurs when the short-term line crosses below the long-term line. A golden cross signals a long position, while a death cross signals a short position. Both are critical trading points.
- MACD (Moving Average Convergence/Divergence
Developed by Gerald Apple, MACD is a directional movement index. It calculates the arithmetic average based on closing prices and then performs further calculations. It offers advantages in terms of stability, trend tracking, and reliability. It can be used to assess buy-sell timing and predict price fluctuations.
- SMI Ergodic Indicator/Oscillator
The SMI Ergodic Indicator is similar to the True Strength Index (TSI) but includes signal lines. The signal line is drawn by taking the difference between the price and the moving average of the previous price multiplied by two across two time frames.
- Spread
The Spread indicator displays the current spread value shown in the chart window.
- Ichimoku Cloud
The Ichimoku Cloud, one of the most widely used trading chart tools in Japan, was developed by a journalist named Ichimoku Yamato. It includes a daily K line (Ichimoku line), five lines, and a corporate resistance band (cloud map). It visualizes market strength and shows relationships with buy-sell signals.
- TRIX
TRIX is a tool used to analyze long-term stock price trends. It adjusts the moving average three times, thereby reducing false signals and decreasing the number of crossovers. It provides a clearer view for identifying long-term trends.
- Zig Zag
Also known as Parabolic SAR, Zig Zag is a directional line connecting a series of price points. It marks relative high and low price points, indicating price transitions and changes. Only price movements within a specific range are plotted, thereby filtering out market noise. It can also be used in conjunction with other analysis tools.
- Price Volume Trend (PVT)
This indicator calculates changes in closing prices and increasing trading volume together, analyzing the relationship between price and volume.
- Coppock Curve
Also known as the “Predicted Wave Curve,” the Coppock Curve measures market momentum based on the weighted average of monthly price changes. Developed in 1962 by Edwin Sedgwick Coppock, it is particularly used to identify the beginning of bull markets.
- Klinger Oscillator
Developed by Stephen J. Klinger, it uses volume to confirm the direction and strength of a price trend.
- Net Volume
Calculated by subtracting the decreasing volume from the increasing volume over a specific period. It is typically used to analyze whether market sentiment is rising or falling. It is displayed on charts using periodic bar charts.
- Know Sure Thing (KST)
KST is a two-line oscillator used to predict stock price trends. It moves around the zero line and generates buy-sell signals through signal line crossovers and divergences.
- Weighted Moving Average
This indicator assigns more weight to the most recent data points Decreasing weights are assigned to each point, allowing recent data to have a greater impact. Older data points are removed from the calculation over time.
- Directional Movement (DMI)
Developed by Wells Wilder, this indicator analyzes the balance between buyers and sellers based on upward and downward movements in stock prices. It is used for long-term trend assessments.
- Momentum
A short-term analysis tool. It is based on the relationship between price and supply-demand. As prices rise, momentum narrows, which is observed before the market changes direction. The same applies to declines.
- Awesome Oscillator (AO)
Calculates the difference between 34 and 5-period simple moving averages. Used to test the accuracy of a trend and predict potential reversals.
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- Envelop
The Envelope indicator is based on the tangent point between the long-term usage cost curve (LTC) and the short-term target cost curve (STC) of each business, in line with its variable production capacity. The STC curve reflects the most efficient scale of social production. The tangent point represents the minimum total cost required for production.
- Historical Volatility
Historical volatility is a statistical measure calculated based on past data. Analysis is conducted under the assumption that the future is an extension of the past.
- Double EMA (DEMA)
DEMA responds more quickly to price changes than the traditional EMA. This allows for more sensitive tracking of recent price fluctuations.
- Rate of Change
It shows the percentage change in price over a specific time period. It is used to evaluate price momentum.
- Donchian Channels
Donchian Channels are a three-line indicator consisting of upper and lower bands. The upper band shows the highest price over the last N periods, while the lower band shows the lowest price. The middle band is the average of these values. The area between the bands represents the range of price movements.
- Commodity Channel Index (CCI)
CCI analyzes how much commodity or stock prices deviate from their average prices using standard deviation. It is based on the assumption that prices cycle through peaks and troughs.
- Balance of Power (BOP)
BOP indicates the balance between buyer and seller power when prices reach extreme levels. It can be used to determine the direction of buying and selling and to predict potential shocks.
- Williams Fractal
One of the five indicators in Bill Williams' trading system. It is marked with upward and downward arrows at high and low price levels. These arrows indicate potential reversal points.
- Williams %R
Developed by Larry Williams in 1973. It analyzes short-term overbought and oversold conditions in stock prices. It is used to identify cyclical peak and trough points and generates buy-sell signals.
- Williams Alligator
The Alligator indicator refers to three moving averages as the “jaw,” “teeth,” and “lips.” These lines, moving at different speeds, indicate trend formation and direction changes.
- Bollinger Bands %
This indicator shows the price's position within the Bollinger Bands. It is expressed as a percentage and indicates how close the price is to the upper band, lower band, or average. It helps identify buy-sell opportunities.
- Bollinger Bands
Developed by John Bollinger, this indicator consists of two standard deviation bands drawn around the simple moving average of the price. The bands are used to assess whether the price is at overbought or oversold levels.
- Bollinger Band Width
This indicator measures the width of the Bollinger Bands. It is calculated by dividing the difference between the upper and lower bands by the middle band. It is used to analyze trend intensity and predict when a trend may end.
- Average Directional Index (ADX)
ADX is a technical analysis indicator that measures the strength of a trend. It is used in conjunction with two accompanying indicators, +DI and -DI. The three lines work together to provide information about the direction and feasibility of a trade.
- Smooth Moving Average (SMMA)
SMMA is a type of average that smooths price movements to facilitate analysis. It is used in technical analysis to determine buy-sell timing.
- CRSI
CRSI is the Connor Relative Strength Index developed by Larry Connors. It ranges from 0 to 100 and is used to analyze short-term overbought and oversold conditions.
- Volume
Volume indicates the amount of transactions executed within a specific time frame. It can be used on minute, daily, weekly, or monthly charts. Changes in volume reflect the funds entering or exiting the market and market trends.
- VWAP (Volume-Weighted Average Price
VWAP shows the average price based on both price and volume. It is used in intraday charts and is reset at the beginning of each trading day. It provides investors with the ability to assess the value and trend of an asset throughout the day.
- VWMA (Volume Weighted Moving Average)
VWMA assigns weight to prices based on trading volume. Prices with higher volume carry more weight than those with lower volume. While similar to SMA, it provides more accurate information during periods of high volume. It is used to identify trends and generate trading signals.
- Volume Oscillator (VO)
VO measures changes in volume over the recent past rather than the volume itself. It helps understand market conditions when making buy-sell decisions.
- Parabolic SAR
The Parabolic SAR is used to highlight the direction of price movement and to identify entry and exit points for trading. Strategies based on this indicator support the investor's decision-making process. However, it also has some limitations.
- Exponential Moving Average
The exponential moving average is a type of moving average that places greater weight and importance on the most recent data points. It is also known as an exponentially weighted moving average.
- ASI
ASI is a virtual line drawn by combining the opening price, highest price, lowest price, and closing price to accurately reflect current market conditions. By providing more realistic data than the market price, it establishes a foundation to verify whether the price has truly reached a new high or low level. ASI helps users make healthier price decisions.
- Vortex Indicator
The Vortex indicator (VI) consists of two lines: an uptrend line (VI+) and a downtrend line (VI-). It is used to identify trend reversals and confirm existing trends.
- Least Squares Moving Average
The Least Squares Moving Average (LSMA) calculates a regression line based on previous time periods and projects it onto the current period. Essentially, it calculates where the price would be if the regression line were to continue.
- Mass Index
The Mass Index examines the difference between the highest and lowest levels of stock prices over a specific period. Developed by Donald Dorsey, this indicator signals a potential reversal of the current trend when the price range exceeds a certain threshold and then narrows.
- Choppiness Index
The Choppiness Index (CHOP) is used to measure whether the market is moving sideways or in a trend. It does not predict direction; it only shows how orderly or disorderly the market structure is.
- Advancement/Decline
The Advancement/Decline line is a cumulative indicator that shows the difference between the number of stocks that rise and fall each day. Positive differences are added, negative differences are subtracted.
- Correlation Coefficient
The correlation coefficient measures the strength of the relationship between two variables. The most commonly used type is the Pearson correlation coefficient, which evaluates linear relationships.
- Relative Strength Index (RSI)
RSI is a momentum indicator that measures the speed and magnitude of price changes to indicate whether a token is in an overbought or oversold region.
- Relative Volatility Index (RVI)
RVI works similarly to RSI but measures the standard deviation of prices. It takes values between 0 and 100 and evaluates based on price volatility.
- Relative Vigor Index
The Relative Vigor Index (RVI) is an oscillator based on the tendency of prices to close above the opening price in uptrends and below the opening price in downtrends.
- True Strength Indicator
The True Strength Index (TSI) is a momentum indicator used to determine trend direction and weakness by utilizing overbought-oversold conditions, signal line crossovers, and divergences.
- Average True Range
The Average True Range (ATR) is an indicator that measures price volatility. It is typically calculated as the average of the 14-day true ranges.
- Moving Average
The Moving Average (MA) is a widely used technical analysis tool that smooths prices and reveals trends. A rising MA indicates an uptrend, while a falling MA indicates a downtrend.
- Moving Average Channel
The Moving Average Channel (MAC) is used to determine the starting point for stop-loss orders in trading strategies based on specific setups and triggers.
- MA Cross
This indicator calculates and plots the values of MA9 and MA21 and highlights their intersection points. It indicates short-term changes in trend direction and strength.
- Momentum
The Ease of Movement Index (EOM/EMV) is a momentum and volume-based indicator that shows how much resistance prices encounter when moving up or down.
- Accumulation/Distribution
Accumulation/Distribution (A/D) combines price and volume to determine whether a token is accumulating or distributing.
- Linear Regression Curve
The Linear Regression Curve (LRC) draws the straight line that best fits the prices over a specific period. It generates buy-sell signals using user-defined factors.
- Ultimate Oscillator
The Ultimate Oscillator is an indicator that measures price momentum based on three different time frames. It produces fewer signals and reduces volatility.
- Keltner Channels
Keltner Channels consist of upper and lower bands drawn around a moving average. The channel width typically reflects volatility.
- Balance Volume
Balance Volume (OBV) tracks volume cumulatively alongside price movements. Volume is added when prices rise and subtracted when prices fall.
- Hull Moving Average
The Hull Moving Average (HMA) was developed to provide a smoother and less lagging moving average. It is calculated using a weighted moving average.
- Elder's Force Index
Elder's Force Index is a technical analysis indicator that measures buying and selling strength by considering the direction, magnitude, and volume of price movements. It is used to identify potential price reversals and corrections.
- Chaikin Money Flow
Chaikin Money Flow (CMF) was developed to track the accumulation and distribution of a stock over a specific period. Its value ranges from -1 to +1. Values above 0 indicate buying pressure, while values below 0 indicate selling pressure.
- Chaikin Oscillator
The Chaikin Oscillator is calculated as the difference between the 3-day and 10-day exponential moving averages of the accumulation-distribution line. This oscillator is used to assess market momentum.
- Fisher Transform
The Fisher Transform converts price data into a normal distribution, making it easier to identify overbought and oversold levels. This transformation simplifies the detection of trend changes.
- Money Flow
Money Flow analyzes the supply and demand balance in the market by comparing upward and downward trading volumes. By combining volume and price, it indicates capital inflows and outflows.
- Supertrend
Supertrend compares the current price with lines created based on past prices. It is used to determine the direction and strength of a trend. It is effective in trending markets but can be misleading in sideways markets.
- Standard Pivot Points
Pivot points are derived from the previous period's highest, lowest, and closing prices. They are used to predict support and resistance levels and assist investors in their decision-making processes.
- McGinley Dynamics
McGinley Dynamics adapts more flexibly to prices compared to classic moving averages. Its adjustable structure based on market speed reduces lag.
- Chande Kroll Stop
The Chande Kroll Stop is used to determine stop-loss and take-profit levels based on average price movements. It supports risk management, especially in volatile markets.
- Chande Momentum Oscillator
The Chande Momentum Oscillator measures price momentum to assess the relative strength or weakness of a market. The timeframe significantly affects signal sensitivity.
- Arnaud Legoux Moving Average
The Arnaud Legoux Moving Average (ALMA) filters out small price fluctuations to create a smoother and more responsive trend line. It reduces noise while clarifying the trend direction.
- Aroon
The Aroon indicator is used to measure the strength and direction of a trend in an asset's price. It works based on the duration of new highs and lows over time.
- Stochastic
The Stochastic oscillator measures the position of a specific closing price within a price range over a specific period. It indicates overbought and oversold levels with values ranging from 0 to 100.
- Stochastic RSI
Stochastic RSI evaluates RSI values using the logic of the stochastic oscillator. It produces more precise overbought and oversold signals.
- Detrended Price Oscillator
The Detrended Price Oscillator (DPO) removes the long-term trend to analyze short-term cycles. It shows the deviation of the price from a specific period and helps identify intermediate peaks and troughs.
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