Algo-Trading .App Beta

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Position Threshold Score is the key value that determines when to enter a trade based on the combined scores of various technical indicators.

Example:

If the Position Threshold Score is set to 2.5:

  • Long Position (Buy): Total score ≥ 2.5 → Execute a buy order because the score is greater than the position threshold score (+2.5 points).
  • Short Position (Sell): Total score ≤ -2.5 → Execute a sell order because the score is less than the position threshold score (-2.5 points).

Combined Indicator Example:

Assume the following indicator scores:

  • MACD: +2
  • RSI: -0.5
  • Bollinger Bands: +1.5

Total Score: +3 (≥ Threshold)

→ Because the total score (+3) is greater than the Position Threshold Score (+2.5), a Long Position (Buy) is initiated.


Alternatively, for a Short Position (Sell):

  • MACD: -2
  • RSI: +0.5
  • Bollinger Bands: -1.5

Total Score: -3 (≤ Negative Threshold)

→ Because the total score (-3) is less than the Position Threshold Score (-2.5), a Short Position (Sell) is initiated.


User Customization:

You can adjust the threshold value to match your trading strategy. For instance, setting a higher threshold means trades will only execute when signals are stronger, reducing the chances of false signals.
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MACD (Moving Average Convergence Divergence) is a powerful and versatile momentum oscillator that helps traders identify trend direction, strength, and potential reversals. It is especially effective in trending markets, providing insights for optimal entry and exit points.

When to Use: The MACD is ideal for:
  • Trend Strength: Evaluating the momentum of upward or downward trends.
  • Trend Reversals: Spotting early signs of a potential change in market direction.
However, it may produce false signals in volatile or non-trending market conditions.

How It Works: The MACD is calculated as the difference between:
  • Fast EMA (Exponential Moving Average): A shorter moving average that reacts quickly to price changes.
  • Slow EMA (Exponential Moving Average): A longer moving average that reacts more slowly to price changes.

Configurable Settings: Users can customize the following parameters to align with their trading strategies:
  • Fast Period: 12 (commonly used for detecting quick trends)
  • Slow Period: 26 (commonly used for identifying stable trends)
  • Signal Period: 9 (adjustable to suit individual strategies)

Signal Calculation: In our system, the MACD score is calculated as follows:
  • Buy Signal: When the MACD line is above the Signal line, a positive score (e.g., +1) is assigned.
  • Sell Signal: When the MACD line is below the Signal line, a negative score (e.g., -1) is assigned.

Total Score Impact: The MACD score contributes to the overall trading decision, weighted according to user-defined preferences.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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Stochastic Oscillator is a momentum indicator designed to identify overbought and oversold conditions by comparing the current price to a defined price range over a specific period.

When to Use: The Stochastic Oscillator is particularly effective for:
  • Overbought/Oversold Conditions: Identifying potential reversal points when the market is overextended.
  • Momentum Confirmation: Validating the strength of a trend by analyzing the interaction between %K and %D lines.
However, it may generate false signals in highly volatile or sideways market conditions.

How It Works: The Stochastic Oscillator calculates momentum using two lines:
  • %K: Represents the current close relative to the defined price range.
  • %D: A smoothed moving average of %K, often used as a signal line.

Configurable Settings: Users can adjust the following parameters to align with their trading strategies:
  • Fast %K Period: 14 (commonly used for standard momentum analysis)
  • Slow %K Period: 3 (smoothing factor for %K)
  • Slow %D Period: 3 (smoothing factor for %D)

Signal Calculation: In our system, the Stochastic score is determined as follows:
  • Buy Signal: When %K crosses above %D while below 80, a positive score (e.g., +1) is assigned.
  • Sell Signal: When %K crosses below %D while above 20, a negative score (e.g., -1) is assigned.

Total Score Impact: The Stochastic score contributes to the overall trading decision, weighted according to user-defined preferences.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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CCI (Commodity Channel Index) is a momentum-based oscillator designed to identify overbought and oversold levels in the market. It is widely used to detect potential trend reversals, evaluate the strength of ongoing trends, and identify optimal entry and exit points.

When to Use: CCI is particularly effective for:
  • Trend Confirmation: Determining the strength and direction of an existing trend.
  • Overbought/Oversold Conditions: Identifying potential reversal points when the market becomes overextended.
However, like many oscillators, CCI may produce false signals in sideways or range-bound market conditions where clear trends are absent.

How It Works: CCI calculates the deviation of the current price from its historical average over a specific period. The resulting value oscillates around a zero line:
  • Positive values indicate that prices are above the historical average, suggesting potential overbought conditions.
  • Negative values indicate that prices are below the historical average, suggesting potential oversold conditions.
Traders often use thresholds (e.g., +100 or -100) to signal overbought or oversold conditions.
Configurable Settings: Users can adjust the following parameter to align with their trading strategies:
  • Period: 30 (commonly used for medium-term analysis; adjustable for shorter or longer trends)

Signal Calculation: In our system, the CCI score is determined as follows:
  • Buy Signal: When CCI falls below -100, indicating oversold conditions, a positive score (e.g., +1) is assigned.
  • Sell Signal: When CCI rises above +100, indicating overbought conditions, a negative score (e.g., -1) is assigned.

Total Score Impact: The CCI score contributes to the overall trading decision, weighted according to user-defined preferences. Combining CCI with other indicators can enhance accuracy by filtering out false signals.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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SAR (Stop and Reverse) is a trend-following indicator designed to identify potential entry and exit points by tracking price direction. It is commonly used to set trailing stop-loss levels, helping traders lock in profits during trending markets.

When to Use: SAR is particularly effective in:
  • Trend Identification: Determining the direction of the current trend and potential reversals.
  • Trailing Stop-Loss: Dynamically adjusting stop-loss levels to follow price movements.
However, SAR may generate false signals in highly volatile or range-bound markets where clear trends are absent.

How It Works: SAR places dots above or below the price to indicate potential reversal points:
  • When the price is above the SAR, it signals a bullish trend.
  • When the price is below the SAR, it signals a bearish trend.
The dots move closer to the price as the trend strengthens, helping to trail stop-loss levels.
Configurable Settings: Users can adjust the following parameters to align with their trading strategies:
  • Acceleration: 0.012 (controls the sensitivity of SAR to price movements; higher values result in faster adjustments).
  • Maximum: 0.05 (sets the maximum acceleration factor to prevent overreacting to price changes).

Signal Calculation: In our system, the SAR score is determined as follows:
  • Buy Signal: When the price is above the SAR, a positive score (e.g., +1) is assigned.
  • Sell Signal: When the price is below the SAR, a negative score (e.g., -1) is assigned.

Total Score Impact: The SAR score contributes to the overall trading decision, weighted according to user-defined preferences. Combining SAR with other indicators can help reduce false signals and enhance accuracy.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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ADX (Average Directional Index) is a trend-strength indicator that measures the strength of a trend without indicating its direction. It helps traders identify whether the market is trending or ranging, enabling better strategy adjustments.

When to Use: ADX is particularly effective for:
  • Trend Strength Evaluation: Assessing whether an existing trend is strong or weak.
  • Trend Continuation or Reversal: Identifying the likelihood of a trend continuation or reversal based on ADX values.
However, ADX does not indicate the direction of the trend, only its strength, and may be less useful in choppy or low-volatility markets.

How It Works: ADX calculates trend strength by analyzing the interaction between two directional indicators:
  • DI+ (Positive Directional Indicator): Reflects upward price movements.
  • DI- (Negative Directional Indicator): Reflects downward price movements.
The ADX line is derived from the smoothed average of the absolute difference between DI+ and DI-. Higher ADX values indicate stronger trends.
Configurable Settings: Users can customize the following parameters to align with their trading strategies:
  • Period: 30 (commonly used for medium-term trend analysis; shorter periods increase sensitivity).
  • Threshold: 25 (commonly used to distinguish between trending and ranging markets).

Signal Calculation: In our system, the ADX score is determined as follows:
  • Buy Signal: When ADX is above the threshold and DI+ is greater than DI-, a positive score (e.g., +1) is assigned.
  • Sell Signal: When ADX is above the threshold and DI- is greater than DI+, a negative score (e.g., -1) is assigned.

Total Score Impact: The ADX score contributes to the overall trading decision, weighted according to user-defined preferences. Combining ADX with other indicators, such as RSI or moving averages, can enhance decision-making by providing additional confirmation.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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RSI (Relative Strength Index) is a momentum oscillator that evaluates the speed and magnitude of recent price changes to identify overbought and oversold conditions. It oscillates between 0 and 100, providing valuable insights into market momentum.

When to Use: RSI is particularly effective for:
  • Overbought/Oversold Conditions: Identifying potential reversal points when the market is overextended.
  • Divergence Detection: Spotting discrepancies between RSI and price movements, which may signal trend reversals.
However, RSI may generate false signals in strongly trending markets, where overbought or oversold levels might persist for an extended period.

How It Works: RSI calculates the ratio of average gains to average losses over a specified period, typically 14 periods. The value reflects the relative momentum of price movements:
  • RSI values above 70 often indicate overbought conditions, signaling a potential price correction or reversal.
  • RSI values below 30 often indicate oversold conditions, signaling a potential price recovery or reversal.

Configurable Settings: Users can adjust the following parameter to suit their trading strategies:
  • Period: 14 (commonly used for standard RSI calculations; longer periods smooth the indicator while shorter periods increase sensitivity).

Signal Calculation: In our system, the RSI score is determined as follows:
  • Buy Signal: When RSI is below 30, indicating oversold conditions, a positive score (e.g., +1) is assigned.
  • Sell Signal: When RSI is above 70, indicating overbought conditions, a negative score (e.g., -1) is assigned.

Total Score Impact: The RSI score contributes to the overall trading decision, weighted according to user-defined preferences. Combining RSI with other indicators, such as MACD or Bollinger Bands, can provide more robust confirmation and reduce false signals.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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Williams %R is a momentum oscillator designed to identify overbought and oversold conditions. It oscillates between -100 and 0, where values below -80 typically indicate oversold conditions, and values above -20 typically indicate overbought conditions.

When to Use: Williams %R is particularly effective for:
  • Overbought/Oversold Conditions: Identifying potential reversal points when the market becomes overextended.
  • Trend Confirmation: Validating the strength of ongoing trends by analyzing %R movements.
However, like many oscillators, it may generate false signals in volatile or sideways market conditions.

How It Works: Williams %R calculates the position of the current closing price relative to the highest high and lowest low over a specified period. The resulting value provides a measure of price momentum:
  • A value near -100 indicates that the closing price is near the lowest low, suggesting oversold conditions.
  • A value near 0 indicates that the closing price is near the highest high, suggesting overbought conditions.

Configurable Settings: Users can adjust the following parameter to align with their trading strategies:
  • Period: 16 (commonly used for standard momentum analysis; shorter periods increase sensitivity).

Signal Calculation: In our system, the Williams %R score is determined as follows:
  • Buy Signal: When Williams %R is below -85, indicating oversold conditions, a positive score (e.g., +1) is assigned.
  • Sell Signal: When Williams %R is above -15, indicating overbought conditions, a negative score (e.g., -1) is assigned.

Total Score Impact: The Williams %R score contributes to the overall trading decision, weighted according to user-defined preferences. Combining it with other indicators, such as MACD or RSI, can improve accuracy and reduce false signals.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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VIX, also known as the "fear index," is a volatility index that reflects the market's expectation of future volatility based on S&P 500 index options. It serves as a gauge of market sentiment, with higher values indicating fear and uncertainty, and lower values reflecting complacency.

When to Use: VIX is particularly effective for:
  • Volatility Assessment: Gauging market sentiment and anticipated price fluctuations.
  • Risk Management: Adjusting trading strategies and position sizes based on expected market volatility.
However, VIX does not provide trend direction and may be less effective as a standalone indicator.

How It Works: VIX calculates expected volatility by analyzing the prices of options on the S&P 500 index. The index is derived from the implied volatility of a wide range of options:
  • Higher VIX values indicate increased market fear and higher expected price swings.
  • Lower VIX values suggest market stability and reduced price swings.
Traders often interpret extreme VIX levels as potential reversal points or signals of changing market conditions.
Configurable Settings: Users can adjust the following parameter to align with their trading strategies:
  • Period: 40 (commonly used for long-term volatility analysis).

Signal Calculation: In our system, the VIX score is determined as follows:
  • Buy Signal: When the VIX-like indicator is below its 20-period moving average, indicating lower expected volatility, a positive score (e.g., +1) is assigned.
  • Sell Signal: When the VIX-like indicator is above its 20-period moving average, indicating higher expected volatility, a negative score (e.g., -1) is assigned.

Total Score Impact: The VIX score contributes to the overall trading decision, weighted according to user-defined preferences. Combining VIX with other indicators, such as trend-following or momentum indicators, can enhance decision-making and mitigate the risk of false signals.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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Bollinger Bands are a technical analysis tool consisting of a middle band (a simple moving average) and two outer bands representing standard deviations. They are commonly used to identify volatility and potential overbought or oversold conditions in the market.

When to Use: Bollinger Bands are particularly effective for:
  • Volatility Measurement: Assessing market volatility based on the width of the bands (wider bands indicate higher volatility, and narrower bands indicate lower volatility).
  • Overbought/Oversold Signals: Identifying potential reversal points when the price touches or moves beyond the outer bands.
However, Bollinger Bands may generate false signals in strong trending markets where price may remain near or beyond the bands for extended periods.

How It Works: Bollinger Bands are calculated using the standard deviation of price over a specified period:
  • The middle band is a simple moving average (SMA).
  • The upper band is set two standard deviations above the SMA.
  • The lower band is set two standard deviations below the SMA.
The bands dynamically adjust to reflect changes in market volatility, expanding during high volatility and contracting during low volatility.
Configurable Settings: Users can customize the following parameters to align with their trading strategies:
  • Period: 20 (commonly used for standard volatility analysis).
  • Upper Deviation: 2.0 (standard deviation multiplier for the upper band).
  • Lower Deviation: 2.0 (standard deviation multiplier for the lower band).
  • MA Type: 0 (commonly used for simple moving average).

Signal Calculation: In our system, the Bollinger Bands score is determined as follows:
  • Buy Signal: When the closing price is below the lower band, indicating potential oversold conditions, a positive score (e.g., +1) is assigned.
  • Sell Signal: When the closing price is above the upper band, indicating potential overbought conditions, a negative score (e.g., -1) is assigned.

Total Score Impact: The Bollinger Bands score contributes to the overall trading decision, weighted according to user-defined preferences. Combining Bollinger Bands with other indicators, such as RSI or MACD, can improve the accuracy of trading signals and reduce false positives.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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ATR (Average True Range) is a volatility indicator that measures market volatility by analyzing the full range of price movements for a given period. It is widely used to set stop-loss levels and gauge market conditions.

When to Use: ATR is particularly effective for:
  • Volatility Measurement: Quantifying the degree of price movement and market volatility.
  • Stop-Loss Setting: Establishing dynamic stop-loss levels based on current market volatility.
However, ATR does not indicate trend direction or predict price movement.

How It Works: ATR calculates the average of the true range over a specified period. The true range is determined as the greatest of the following:
  • The difference between the current high and the current low.
  • The absolute difference between the current high and the previous close.
  • The absolute difference between the current low and the previous close.
Higher ATR values suggest increased volatility, while lower ATR values indicate more stable market conditions.
Configurable Settings: Users can adjust the following parameters to suit their trading strategies:
  • Period: 24 (commonly used for standard volatility analysis).
  • Threshold: 0.00015 (used to define significant volatility levels).

Signal Calculation: In our system, the ATR score is determined as follows:
  • Buy Signal: When ATR exceeds the threshold, indicating higher volatility, a positive score (e.g., +1) is assigned.
  • Sell Signal: When ATR is below the threshold, indicating lower volatility, a negative score (e.g., -1) is assigned.

Total Score Impact: The ATR score contributes to the overall trading decision, weighted according to user-defined preferences. Combining ATR with trend or momentum indicators can improve trading accuracy by providing additional context about market conditions.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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CMF (Chaikin Money Flow) is a volume-weighted indicator that measures the flow of money into or out of an asset over a specified period. It helps assess buying and selling pressure and supports trend analysis.

When to Use: CMF is particularly effective for:
  • Volume Analysis: Evaluating the intensity of buying or selling pressure based on volume and price action.
  • Trend Confirmation: Validating the strength and direction of a trend using money flow data.
However, CMF may generate inconsistent signals in low-volume or highly volatile markets.

How It Works: CMF calculates the accumulation/distribution line by analyzing the relationship between the closing price, the high-low range, and volume:
  • Positive CMF values suggest accumulation, indicating buying pressure.
  • Negative CMF values suggest distribution, indicating selling pressure.
Consistently positive or negative values can help confirm trends or reversals.
Configurable Settings: Users can adjust the following parameter to align with their trading strategies:
  • Period: 14 (commonly used for short- to medium-term money flow analysis).

Signal Calculation: In our system, the CMF score is determined as follows:
  • Buy Signal: When CMF is greater than 0, indicating strong buying pressure, a positive score (e.g., +1) is assigned.
  • Sell Signal: When CMF is less than 0, indicating strong selling pressure, a negative score (e.g., -1) is assigned.

Total Score Impact: The CMF score contributes to the overall trading decision, weighted according to user-defined preferences. Combining CMF with other indicators, such as MACD or RSI, can enhance decision-making by providing additional confirmation of market trends.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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Donchian Channel is a trend-following indicator that highlights the highest high and lowest low over a specified period. It is widely used for identifying breakout points and setting dynamic stop-loss levels.

When to Use: Donchian Channel is particularly effective for:
  • Breakout Detection: Identifying potential entry points when the price moves above the upper band or below the lower band, indicating a breakout.
  • Trend Confirmation: Validating the trend direction by analyzing the price movement relative to the bands.
However, Donchian Channel may generate false signals in sideways or ranging markets where breakouts are less reliable.

How It Works: Donchian Channel consists of three lines:
  • The upper band, which marks the highest high over the specified period.
  • The lower band, which marks the lowest low over the specified period.
  • The middle line, typically a simple moving average, that provides additional context for price trends.
Expanding bands indicate increased volatility, while contracting bands suggest reduced volatility.
Configurable Settings: Users can adjust the following parameter to align with their trading strategies:
  • Period: 3 (commonly used for short-term breakout detection).

Signal Calculation: In our system, the Donchian Channel score is determined as follows:
  • Buy Signal: When the closing price is above the upper band, indicating a bullish breakout, a positive score (e.g., +1) is assigned.
  • Sell Signal: When the closing price is below the lower band, indicating a bearish breakout, a negative score (e.g., -1) is assigned.

Total Score Impact: The Donchian Channel score contributes to the overall trading decision, weighted according to user-defined preferences. Combining this indicator with others, such as MACD or RSI, can reduce false signals and improve reliability in different market conditions.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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Keltner Channel is a volatility-based envelope indicator that consists of an exponential moving average (EMA) as the middle band, with upper and lower bands set at a multiple of the Average True Range (ATR). It is commonly used to identify overbought and oversold conditions, as well as potential trend reversals.

When to Use: Keltner Channel is particularly effective for:
  • Volatility Assessment: Evaluating market volatility and the degree of price movement based on the width of the bands.
  • Trend Reversal Signals: Identifying potential reversal points when the price touches or breaks through the outer bands.
  • Trend Confirmation: Validating the strength and direction of a trend by observing price behavior within the channel.
However, Keltner Channel may generate false signals in highly volatile or non-trending (ranging) markets.

How It Works: Keltner Channel is constructed as follows:
  • The middle band is an EMA that smooths price data over a specified period.
  • The upper band is the EMA plus a multiple of the ATR.
  • The lower band is the EMA minus a multiple of the ATR.
The width of the bands dynamically adjusts to market volatility, expanding during high volatility and contracting during low volatility.
Configurable Settings: Users can adjust the following parameters to align with their trading strategies:
  • Period: 24 (commonly used for medium-term trend analysis).
  • Multiplier: 2.0 (determines the distance of the outer bands from the EMA).

Signal Calculation: In our system, the Keltner Channel score is determined as follows:
  • Buy Signal: When the closing price is above the upper band, indicating strong upward momentum, a positive score (e.g., +1) is assigned.
  • Sell Signal: When the closing price is below the lower band, indicating strong downward momentum, a negative score (e.g., -1) is assigned.

Total Score Impact: The Keltner Channel score contributes to the overall trading decision, weighted according to user-defined preferences. For improved reliability, consider combining the Keltner Channel with other indicators like RSI or MACD to reduce false signals and enhance decision-making.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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CMO (Chande Momentum Oscillator) is a momentum indicator that quantifies the strength of price changes, oscillating between -100 and +100 to indicate overbought and oversold conditions.

When to Use: CMO is particularly effective for:
  • Trend Identification: Assessing the strength and direction of a trend based on momentum values.
  • Overbought/Oversold Conditions: Detecting potential reversal points when the oscillator reaches extreme levels.
However, CMO may generate false signals in highly volatile or non-trending (ranging) markets.

How It Works: CMO calculates momentum by comparing the sum of all recent gains to the sum of all recent losses over a specified period. The result is scaled to oscillate between -100 and +100, where:
  • Positive values indicate upward momentum.
  • Negative values indicate downward momentum.
Extreme positive or negative readings suggest overbought or oversold conditions, respectively.
Configurable Settings: Users can adjust the following parameter to align with their trading strategies:
  • Period: 14 (commonly used for short- to medium-term momentum analysis).

Signal Calculation: In our system, the CMO score is determined as follows:
  • Buy Signal: When CMO is above 0, indicating positive momentum, a positive score (e.g., +1) is assigned.
  • Sell Signal: When CMO is below 0, indicating negative momentum, a negative score (e.g., -1) is assigned.

Total Score Impact: The CMO score contributes to the overall trading decision, weighted according to user-defined preferences. Combining CMO with other indicators, such as Bollinger Bands or MACD, can improve accuracy by providing complementary insights into market conditions.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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TSI (True Strength Index) is a momentum oscillator that evaluates the strength and direction of a trend by smoothing price momentum using two exponential moving averages (EMAs). It is effective for identifying bullish or bearish market conditions and potential reversals.

When to Use: TSI is particularly effective for:
  • Trend Identification: Determining the strength and direction of a trend based on momentum values.
  • Divergence Detection: Identifying discrepancies between TSI and price movement, which can signal potential trend reversals.
However, TSI may generate false signals in ranging or choppy markets.

How It Works: TSI measures momentum by applying two EMAs to the rate of price change:
  • The short EMA captures quick changes in momentum.
  • The long EMA smooths the momentum to reduce noise.
The resulting value oscillates around a zero line:
  • Values above 0 indicate bullish momentum.
  • Values below 0 indicate bearish momentum.

Configurable Settings: Users can adjust the following parameters to align with their trading strategies:
  • Long Period: 30 (commonly used for long-term trend analysis).
  • Short Period: 12 (commonly used for short-term momentum capture).

Signal Calculation: In our system, the TSI score is determined as follows:
  • Buy Signal: When TSI is above 0, indicating bullish momentum, a positive score (e.g., +1) is assigned.
  • Sell Signal: When TSI is below 0, indicating bearish momentum, a negative score (e.g., -1) is assigned.

Total Score Impact: The TSI score contributes to the overall trading decision, weighted according to user-defined preferences. Combining TSI with other indicators, such as MACD or RSI, can improve reliability and provide a more comprehensive view of market conditions.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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Fisher Transform is a technical indicator that normalizes price data into a Gaussian distribution, enabling the identification of turning points and potential reversals with greater precision.

When to Use: Fisher Transform is particularly effective for:
  • Reversal Identification: Detecting potential trend reversals by highlighting extreme price movements.
  • Divergence Detection: Identifying divergences between Fisher Transform values and price, signaling possible reversals.
However, it may generate false signals in highly volatile or non-trending (ranging) markets.

How It Works: Fisher Transform applies a mathematical transformation to price data to create a Gaussian distribution. This process sharpens the ability to detect price extremes and turning points:
  • Positive values indicate bullish momentum.
  • Negative values indicate bearish momentum.
Oscillating values make it easier to identify overbought or oversold conditions.
Configurable Settings: Users can adjust the following parameter to align with their trading strategies:
  • Period: 10 (commonly used for standard smoothing and transformation).

Signal Calculation: In our system, the Fisher Transform score is determined as follows:
  • Buy Signal: When Fisher Transform is greater than the Fisher Signal line, indicating bullish momentum, a positive score (e.g., +1) is assigned.
  • Sell Signal: When Fisher Transform is less than the Fisher Signal line, indicating bearish momentum, a negative score (e.g., -1) is assigned.

Total Score Impact: The Fisher Transform score contributes to the overall trading decision, weighted according to user-defined preferences. Combining Fisher Transform with other indicators, such as MACD or RSI, can improve reliability by reducing false signals and providing additional market context.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
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KVO (Klinger Volume Oscillator) is a volume-based technical indicator that analyzes volume flow to predict price reversals and assess the strength of a trend. It is particularly effective in identifying divergences between volume and price.

When to Use: KVO is most effective for:
  • Trend Confirmation: Evaluating the strength and direction of a trend based on volume flow.
  • Reversal Signals: Identifying potential trend reversals through divergences between KVO and price action.
However, KVO may generate false signals in low-volume or highly volatile markets.

How It Works: KVO measures volume flow by comparing the volume flowing into and out of a security. The indicator consists of two smoothed moving averages:
  • Fast Period: Captures short-term volume trends.
  • Slow Period: Captures long-term volume trends.
Positive values suggest buying pressure, while negative values indicate selling pressure. Divergences between KVO and price can signal potential reversals.
Configurable Settings: Users can adjust the following parameters to align with their trading strategies:
  • Fast Period: 18 (commonly used for short-term momentum analysis).
  • Slow Period: 48 (commonly used for long-term momentum analysis).

Signal Calculation: In our system, the KVO score is determined as follows:
  • Buy Signal: When KVO is above 0, indicating buying pressure, a positive score (e.g., +1) is assigned.
  • Sell Signal: When KVO is below 0, indicating selling pressure, a negative score (e.g., -1) is assigned.

Total Score Impact: The KVO score contributes to the overall trading decision, weighted according to user-defined preferences. For improved accuracy, consider using KVO in conjunction with price-based indicators like MACD or RSI to validate signals and reduce noise.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
Weight
RVI (Relative Vigor Index) is a momentum oscillator that evaluates the strength of a trend by comparing the relationship between the closing price and the trading range. It is particularly useful for identifying bullish or bearish momentum and potential reversals.

When to Use: RVI is most effective for:
  • Trend Strength Assessment: Determining the vigor and sustainability of an existing trend.
  • Reversal Signals: Spotting potential trend reversals through divergences between RVI and price.
However, RVI may produce false signals in low-volatility or non-trending markets.

How It Works: RVI calculates momentum by comparing the closing price to the trading range over a specified period. The indicator oscillates around a zero line:
  • Values above 0 indicate bullish momentum.
  • Values below 0 indicate bearish momentum.
Divergences between RVI and price can signal potential reversals, providing valuable insights into market dynamics.
Configurable Settings: Users can customize the following parameter to align with their trading strategies:
  • Period: 8 (commonly used for short-term momentum analysis).

Signal Calculation: In our system, the RVI score is determined as follows:
  • Buy Signal: When RVI is above 0, indicating bullish momentum, a positive score (e.g., +1) is assigned.
  • Sell Signal: When RVI is below 0, indicating bearish momentum, a negative score (e.g., -1) is assigned.

Total Score Impact: The RVI score contributes to the overall trading decision, weighted according to user-defined preferences. To improve accuracy, consider using RVI alongside other indicators, such as MACD or RSI, for additional confirmation of trends or reversals.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
Weight
Elder Indicator is a technical tool that combines trend-following and momentum analysis to identify the direction of a trend and potential entry or exit points. It incorporates Bull Power and Bear Power to assess buying and selling pressure.

When to Use: The Elder Indicator is particularly effective for:
  • Trend Confirmation: Determining the direction and strength of an ongoing trend.
  • Entry/Exit Signals: Spotting optimal points for entering or exiting trades based on momentum and trend direction.
However, it may produce unreliable signals in sideways or highly volatile markets.

How It Works: The Elder Indicator evaluates market momentum using two components:
  • Bull Power: Calculated by subtracting an exponential moving average (EMA) from the high price, indicating buying pressure.
  • Bear Power: Calculated by subtracting the low price from an EMA, indicating selling pressure.
Positive Bull Power suggests strong buying momentum, while negative Bear Power indicates dominant selling momentum. The combination of these two measures helps confirm trends and identify reversals.
Configurable Settings: Users can adjust the following parameter to align with their trading strategies:
  • Period: 6 (commonly used for short-term trend and momentum assessment).

Signal Calculation: In our system, the Elder score is calculated as follows:
  • Buy Signal: When Bull Power is greater than 0, indicating strong buying momentum, a positive score (e.g., +1) is assigned.
  • Sell Signal: When Bear Power is less than 0, indicating strong selling momentum, a negative score (e.g., -1) is assigned.

Total Score Impact: The Elder score contributes to the overall trading decision, weighted according to user-defined preferences. Combining the Elder Indicator with other tools, such as RSI or MACD, can improve reliability and reduce noise in volatile markets.

When you set the score for this technical indicator to 1.0, it assigns +1.0 points when the indicator predicts an upward trend and -1.0 points when it predicts a downward trend.
Weight
The rolling window size defines the number of recent position scores used to calculate an average, helping to smooth trading signals and reduce noise.

How to Choose: The ideal window size depends on your trading style and market conditions:
  • Small Window (e.g., 3):
    • Pros: Responds quickly to recent market changes, making it suitable for short-term or high-frequency trading.
    • Cons: More sensitive to market noise, increasing the likelihood of false signals.
  • Large Window (e.g., 30):
    • Pros: Produces more stable and reliable signals by averaging over a longer period, ideal for swing or long-term strategies.
    • Cons: Slower to react to recent market movements, potentially causing delays in signal generation.

Market Conditions:

In trending markets, larger windows capture stable trends, while smaller windows adapt faster to price reversals in volatile or sideways markets.


Risk Management:

Low-risk traders may prefer larger windows for smoother signals, whereas high-risk traders might opt for smaller windows to capitalize on rapid movements.


Recommended Sizes:

For most strategies, a rolling window size between 10 and 20 balances responsiveness and stability. Experiment with different sizes to find what works best for your trading style.
Stop Loss Score Threshold is the critical score at which a stop-loss is triggered to mitigate potential losses and protect capital.

Advantages:
  • Effective Risk Management: Automatically exits positions when aggregated scores signal unfavorable market conditions, reducing exposure to major losses.
  • Capital Preservation: Safeguards trading capital by limiting downside risk during volatile or adverse market movements.
  • Emotional Discipline: Eliminates emotional decision-making, ensuring consistent and rational risk management practices.
  • Customizable Flexibility: Easily adjustable to fit various trading strategies and risk tolerance levels, providing tailored risk control.

Disadvantages:
  • Over-sensitivity Risk: If set too low, minor fluctuations may trigger frequent stop-losses, leading to overtrading and higher transaction costs.
  • Missed Profit Opportunities: Strict thresholds can cause premature exits, missing potential gains during market recoveries.
  • Indicator Reliability Dependency: The effectiveness of the threshold depends on the accuracy and consistency of the technical indicators used in score calculations.
  • Execution Lag in Volatile Markets: In fast-moving markets, delays between threshold crossing and execution can result in larger-than-expected losses.

Recommendation:

Choose a stop-loss threshold that balances protecting your capital with allowing trades sufficient room for potential growth. Monitor market conditions and your trading performance regularly to fine-tune the threshold for optimal results.
Trailing Stop automatically adjusts the stop-loss level as the market price moves in your favor, securing profits while providing room for potential gains.

Trailing Stop Percent (1~100): This setting defines the percentage distance between the stop-loss level and the current market price. It dynamically follows the price, ensuring adaptive risk management.
  • Low Percentage (e.g., 5%):
    • Pros: Quickly locks in profits as the price moves favorably, ideal for short-term strategies.
    • Cons: May trigger stop-loss due to minor price fluctuations, potentially exiting trades prematurely.
  • High Percentage (e.g., 20%):
    • Pros: Provides more room for the trade to develop, suitable for long-term or volatile market strategies.
    • Cons: Slower to secure profits, increasing the risk of larger losses if the market reverses sharply.

Recommendation: Choose a trailing stop percentage that balances your trading goals and risk tolerance:
  • For high-volatility assets, consider a higher percentage to avoid premature exits.
  • For steady, low-volatility markets, a lower percentage may help secure incremental gains effectively.
Support & Resistance are key levels in technical analysis that indicate where the price of an asset tends to find support as it falls or resistance as it rises.

Minimum Price Gap (%) (1~100): This setting defines the minimum percentage difference between the entry price and the support/resistance level to avoid placing orders too close to the current price.
  • Low Percentage (e.g., 5%):
    • Pros: Allows for tighter stop-loss levels, reducing potential losses quickly.
    • Cons: May result in frequent stop-loss triggers due to minor market fluctuations.
  • High Percentage (e.g., 20%):
    • Pros: Provides more breathing room for the trade, minimizing the chances of premature exits.
    • Cons: Larger losses if the price moves unfavorably before reaching the support/resistance level.

Support & Resistance Period (1~200): This defines the number of periods (e.g., candles) to look back when calculating support and resistance levels. A higher period smooths out the levels, while a lower period makes them more responsive to recent price changes.

Recommendation:
  • For volatile markets, consider a higher support & resistance period to capture significant levels.
  • For stable markets, a lower period can help in identifying more precise support and resistance levels.
  • Adjust the minimum price gap based on your trading strategy and risk tolerance.
The Take Profit feature automatically closes a position once a predefined profit target is reached, securing your gains.
  • Take Profit Percent (1~100):
    • Low Percentage (e.g., 5%):
      • Pros: Quickly secures profits, reducing the risk of reversals eroding gains.
      • Cons: May limit potential profits if the market continues to move favorably.
    • High Percentage (e.g., 50%):
      • Pros: Allows trades to capture larger gains if the market trend is strong and continues in your favor.
      • Cons: Increases the risk of not securing profits if the market reverses before reaching the target.
Set a Take Profit percentage that aligns with your profit goals and trading strategy to effectively manage your trades.
Global Setting
Backtest Setting
Trading Bot Setting

Remaining Backtests: 5/5

How to Use >