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Indicators

It supports a wide range of technical indicators, grouped by category, which
you can use it to build your entry and exit conditions using either the Signal AI Agent chatbot or Canvas.

→ Trend Indicators​

  • EMA (Exponential Moving Average)

  • SMA (Simple Moving Average)

  • WMA (Weighted Moving Average)

  • VWMA (Volume-Weighted Moving Average)

  • SUPERTREND

  • ADX (Average Directional Index)

  • VWAP (Volume-Weighted Average Price)

→ Momentum Indicators​

  • RSI(Relative Strength Index)

  • MACD (Moving Average Convergence Divergence)

  • STOCHASTIC (Stochastic Oscillator)

  • ROC (Rate of Change)

  • WILLIAMS_R (Williams %R)

  • SPECIAL_K

  • BOLLINGER_BANDS (Bollinger Bands)

  • ATR (Average True Range)

  • MIN_MAX

→ Indicator Strategy Creation : You can add indicator strategy signals condition through Entry and Exit conditions in Canva. Click on the “+” icon, add a node, and then define conditions as per your requirement or directly use the Signal AI Chat bot to define the Indicator Condition.

→ Trend Indicators

  1. EMA (Exponential Moving Average): A moving average that gives more weight to recent prices, making it more responsive to current market changes.

  • Helps identify short-term trends and momentum

  • Commonly used for entry/exit signals (e.g., EMA 20/50 crossover)

  • Acts as dynamic support and resistance

  • Advantage over SMA: Provides faster and earlier signals compared to SMA

→ Here are EMA Parameter settings :

      → Candle Type: 

This determines the type of candles used for the calculation. The default is OHLC, but you can also use HEIKIN_ASHI candles, which can help in smoothing out the price action to better identify trends.

  • ** Source**: 

This is the specific price point from each candle that the calculation is based on. These are the four primary data points of any price candle.

  1. Close: The closing price of the period.

    • Why it's used: This is the most common source because it represents the final consensus of value for that period. Most traders consider the close to be the most significant price. An EMA of the close is excellent for general trend analysis.

  2. Open: The opening price of the period.

    • Why it's used: Less common for EMA, but can be used to analyze the relationship between the opening price and the moving average, often in opening range breakout strategies.

  3. High: The highest price reached during the period.

    • Why it's used: An EMA of the high prices will run above the price action. This can be used to create an upper band or a dynamic resistance level. A strategy might exit a long position if the price closes above the EMA of the Highs.

  4. Low: The lowest price reached during the period.

    • Why it's used: An EMA of the low prices will run below the price action. This is useful for creating a dynamic support level or a trailing stop-loss. For example, a rule could be "exit if the price closes below the EMA of the Lows."

Calculated (Averaged) Price Points​

These sources use an average of the candle's prices to create a smoother, more "central" value. This can help reduce the noise from occasional price spikes.

  1. OHLC4: (Open + High + Low + Close) / 4

    • Why it's used: This gives the "mean price" of the entire candle, providing a more balanced representation of the period's trading activity than the Close alone. It's great for smoothing the EMA and getting a broader sense of the trend.

  2. HLC3: (High + Low + Close) / 3

    • Why it's used: Often called the "Typical Price." It gives equal weight to the high, low, and closing prices. This is another excellent smoothing technique, often used in indicators like the Commodity Channel Index (CCI).

  3. HL2: (High + Low) / 2

    • Why it's used: This represents the "Median" or "Midpoint Price" of the candle's trading range. It completely ignores the open and close. This source is useful if you believe the true price lies in the middle of the period's range, and you want to filter out the noise from the open and close values.    

                                                                  

  • Period: This is the lookback window for the calculation.

  • A shorter period (e.g., 10, 20) makes the EMA react more quickly to price changes, tracking it more closely.

  • A longer period (e.g., 50, 200) makes the EMA smoother and less sensitive to short-term price fluctuations.

  • Timeframe : The chart interval for the indicator's data.

  • Offset: The Offset setting allows you to look back at an indicator's value from a previous candle. It's like asking, "What was the value of this indicator N candles ago?"

  • offset: 0: Refers to the current, still-forming candle.

  • offset: 1: Refers to the most recently completed candle (the previous candle).

  • offset: 2: Refers to the candle before the previous one, and so on.

In summary, the EMA is a versatile tool for identifying trend direction. A common strategy involves using two EMAs—a short-period one and a long-period one—and looking for a crossover to signal a potential trend change.

**→ Steps to Create a EMA 20/50 Cross Over Signal based strategy **

  1. On Entry Condition, click on “+” and select Comparison Nodes

  2. Search and select EMA indicator

  3. Click and Set Fast EMA Indicator Input Settings and save

  4. Add comparison → select “Crosses Above”

  5. Follow the same process for Slow EMA 50.
    → Search and select EMA, then set Indicator settings accordigly EMA 50 and save.

→ Quick Steps : EMA 20/50 Crossover Strategy creation

→ Entry Condition: The 20-period EMA crosses above the 50-period EMA.

  1. Click on “+” under Entry Condition, select Comparison Node, and add EMA (20) with inputs: Candle Type (OHLC), Source (Close), Period = 20, Timeframe (e.g., 5m)

  2. Add comparison and select “Crosses Above”

  3. Add EMA (50) with inputs: Candle Type (OHLC), Source (Close), Period = 50, same timeframe

 This creates the Buy Entry condition: EMA 20 crosses above EMA 50.

→ Exit Condition: The 20-period EMA crosses below the 50-period EMA.

  1. Click on “+” under Exit Condition, select Comparison Node, and add EMA (20) with inputs: Candle Type (OHLC), Source (Close), Period = 20, Timeframe (e.g., 5m)

  2. Add comparison and select “Crosses Below”

  3. Add EMA (50) with inputs: Candle Type (OHLC), Source (Close), Period = 50, same timeframe

 This creates the Buy Exit condition: EMA 20 crosses below EMA 50.\

 This creates the final Signal strategy: Buy when EMA 20 crosses above EMA 50 and exit when it crosses below on a 5-minute timeframe.

→ In a similar way you can explore the different available Indicators.

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