How To Create Simple Moving Average (SMA) In Dart?

9 minutes read

To create a Simple Moving Average (SMA) in Dart, you can start by defining a list of numeric values that you want to calculate the moving average for. Then, you can write a function that takes this list and a parameter for the number of periods to consider in the calculation.


Inside the function, you can use a for loop to iterate over the list of values, taking the average of the specified number of periods at each step. You can store these averages in a new list or output them directly, depending on your requirements.


Finally, you can call this function with your desired list of values and period parameter to calculate the SMA. Remember that the SMA is a useful indicator for trend-following strategies in technical analysis and can help smooth out noisy data for better decision-making.

Best Trading Sites for Beginners & Experts in 2024

1
FinViz

Rating is 5 out of 5

FinViz

2
TradingView

Rating is 4.9 out of 5

TradingView

3
FinQuota

Rating is 4.8 out of 5

FinQuota

4
Yahoo Finance

Rating is 4.7 out of 5

Yahoo Finance


How to use a moving average as a trend indicator in Dart?

To use a moving average as a trend indicator in Dart, you can follow these steps:

  1. Import the necessary packages in your Dart file:
1
import 'package:ta_dart/ta_dart.dart';


  1. Define a list of historical stock prices or any other dataset that you want to analyze:
1
List<double> prices = [100.0, 105.0, 110.0, 115.0, 120.0, 125.0];


  1. Calculate the moving average by calling the MovingAverage.movingAverage method from the TA-Dart library:
1
List<double> movingAverage = MovingAverage.movingAverage(prices, 5);


In this example, we are calculating a 5-day moving average. You can adjust the period parameter to calculate moving averages of different lengths.

  1. Analyze the moving average values to determine the trend. A rising moving average indicates an uptrend, while a falling moving average indicates a downtrend.
1
2
bool isUptrend = movingAverage.last > movingAverage[movingAverage.length - 2];
bool isDowntrend = movingAverage.last < movingAverage[movingAverage.length - 2];


You can use these boolean values to determine the trend direction based on the moving average.


This is a basic example of how to use a moving average as a trend indicator in Dart. You can further customize and enhance this functionality based on your specific requirements and analysis criteria.


How to implement a simple moving average algorithm in Dart?

To implement a simple moving average algorithm in Dart, you can create a class that keeps track of a list of values and calculates the moving average based on a specified window size. Here's an example implementation:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
class MovingAverage {
  List<double> _values = [];
  int _windowSize;
  
  MovingAverage(this._windowSize);
  
  void addValue(double value) {
    _values.add(value);
    if (_values.length > _windowSize) {
      _values.removeAt(0);
    }
  }
  
  double calculateAverage() {
    if (_values.isEmpty) {
      return 0.0;
    }
    
    double sum = _values.reduce((value, element) => value + element);
    return sum / _values.length;
  }
}

void main() {
  MovingAverage ma = MovingAverage(3);
  
  ma.addValue(1.0);
  ma.addValue(2.0);
  ma.addValue(3.0);
  print('Moving average: ${ma.calculateAverage()}');
  
  ma.addValue(4.0);
  print('Moving average: ${ma.calculateAverage()}');
}


In this implementation, the MovingAverage class stores a list of values and calculates the moving average based on the specified window size. You can add values using the addValue method and calculate the moving average using the calculateAverage method. In the example above, we create a MovingAverage instance with a window size of 3 and add values to calculate the moving average.


How to combine multiple moving averages for better analysis in Dart?

To combine multiple moving averages for better analysis in Dart, you can calculate each moving average separately and then average them together. Here is an example of how you can achieve this:

  1. Calculate the individual moving averages:
1
2
3
4
5
6
List<double> data = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0];
int period1 = 3;
int period2 = 5;

List<double> movingAverage1 = calculateMovingAverage(data, period1);
List<double> movingAverage2 = calculateMovingAverage(data, period2);


  1. Combine the moving averages:
1
2
3
4
5
6
7
List<double> combinedMovingAverage = [];
for (int i = 0; i < data.length; i++) {
  double average = (movingAverage1[i] + movingAverage2[i]) / 2;
  combinedMovingAverage.add(average);
}

print(combinedMovingAverage);


  1. Create a function to calculate the moving average:
 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
List<double> calculateMovingAverage(List<double> data, int period) {
  List<double> movingAverage = [];
  double sum = 0;

  for (int i = 0; i < data.length; i++) {
    sum += data[i];
    if (i >= period) {
      sum -= data[i - period];
      movingAverage.add(sum / period);
    } else {
      movingAverage.add(sum / (i + 1));
    }
  }

  return movingAverage;
}


By combining multiple moving averages in this way, you can create a more robust analysis of the data and potentially gain better insights into trends and patterns.


What is the historical significance of using moving averages in Dart?

Moving averages have historical significance in Dart as they have been used as a technical analysis tool by traders and investors for many years. By calculating the average price of a security over a specified period of time, moving averages can help smooth out price fluctuations and identify trends in the market.


In Dart, moving averages are commonly used in the context of technical analysis to make trading decisions. Traders often use moving averages to determine entry and exit points for their trades, as well as to validate trends and trading signals.


Overall, the historical significance of using moving averages in Dart lies in their ability to provide valuable insights into market trends and help traders make informed decisions based on historical price data.


How to plot a simple moving average on a graph in Dart?

To plot a simple moving average on a graph in Dart, you can use the fl_chart package. Here's an example of how you can do this:

  1. First, add the fl_chart package to your pubspec.yaml file:
1
2
3
4
dependencies:
  flutter:
    sdk: flutter
  fl_chart: ^0.35.0


  1. Import the necessary packages in your Dart file:
1
import 'package:fl_chart/fl_chart.dart';


  1. Define your data points and calculate the moving average:
 1
 2
 3
 4
 5
 6
 7
 8
 9
10
List<double> data = [10.0, 15.0, 20.0, 25.0, 30.0];
List<double> movingAverage = [];

for (int i = 0; i < data.length; i++) {
  double sum = 0;
  for (int j = 0; j <= i; j++) {
    sum += data[j];
  }
  movingAverage.add(sum / (i + 1));
}


  1. Create a LineChart widget with the data points and moving average:
 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
LineChartData mainData() {
  List<FlSpot> spots = [];
  for (int i = 0; i < data.length; i++) {
    spots.add(FlSpot(i.toDouble(), data[i]));
  }

  List<FlSpot> avgSpots = [];
  for (int i = 0; i < movingAverage.length; i++) {
    avgSpots.add(FlSpot(i.toDouble(), movingAverage[i]));
  }

  LineChartBarData avgLine = LineChartBarData(
    spots: avgSpots,
    isCurved: true,
    colors: [Colors.red],
    barWidth: 2,
    isStrokeCapRound: true,
    belowBarData: BarAreaData(show: false),
  );

  return LineChartData(
    lineBarsData: [
      LineChartBarData(
        spots: spots,
        isCurved: true,
        colors: [Colors.blue],
        barWidth: 2,
        isStrokeCapRound: true,
        belowBarData: BarAreaData(show: false),
      ),
      avgLine,
    ],
    minY: 0,
    titlesData: FlTitlesData(show: false),
    borderData: FlBorderData(show: true),
  );
}


  1. Finally, display the LineChart widget in your Flutter app:
1
2
3
LineChart(
  mainData(),
),


This will display a LineChart with your data points and the moving average line plotted on it. You can customize the appearance of the chart further by adjusting the properties of the LineChartBarData and LineChartData objects.


What is the difference between a simple moving average and an exponential moving average in Dart?

In Dart, a simple moving average (SMA) calculates the average price of an asset over a specified number of periods by simply adding up the closing prices and dividing by the number of periods. This calculation gives equal weight to each period.


On the other hand, an exponential moving average (EMA) in Dart gives more weight to the most recent prices, with older prices receiving less weight. This is achieved by using a multiplier that is applied to the difference between the current price and the previous EMA value. This makes the EMA more responsive to recent price changes compared to the SMA.


In summary, the main difference between SMA and EMA in Dart is that EMA gives more weight to recent prices and is more responsive to changes in the trend, whereas SMA gives equal weight to all prices over the specified period.

Facebook Twitter LinkedIn

Related Posts:

To calculate the Simple Moving Average (SMA) in Kotlin, you first need to create a function that takes the list of numbers and the period as parameters. Then, iterate through the list using a for loop and calculate the sum of the numbers in the list for the sp...
Bollinger Bands are a popular technical analysis tool that was developed by John Bollinger in the 1980s. They consist of a set of three lines plotted on a price chart: a simple moving average (SMA) line in the middle, and an upper and lower band that represent...
To calculate Simple Moving Average (SMA) using Clojure, you can first define a function that takes in a vector of numbers and a window size as input parameters. Within this function, you can use the partition function to create sublists of numbers based on the...
Moving averages (MA) are a commonly used technical analysis tool in the stock market to analyze trends and identify potential entry and exit points for trades. In Ruby, implementing moving averages is relatively straightforward using the built-in capabilities ...
The Hull Moving Average (HMA) is a technical indicator that aims to reduce lag and produce more accurate signals than traditional moving averages. It incorporates weighted moving averages and the square root of the period to deliver smoother and more responsiv...
Bollinger Bands are a widely used technical indicator that helps traders analyze market volatility and identify potential trading opportunities. They consist of a simple moving average (SMA) line in the middle and two additional lines called the upper band and...