Forecasts for Markets

Trading Economics forecasts are built using a proprietary global macro model that takes into account our analysts’ expectations, correlations between countries, and a set of logical relationships between different indicators.

By category

category = (index, currency, crypto, commodity, bond)

Using Requests:

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/markets/forecasts/index?c={your_api_key}'
data = requests.get(url).json()
print(data)

Or using our package:

import tradingeconomics as te
te.login('your_api_key')
te.getMarketsForecasts(category='index')

Using Requests:

const axios = require('axios');
(async () => {
    const your_api_key = 'your_api_key'
    const response = await axios.get(`https://api.tradingeconomics.com/markets/forecasts/index?c=${your_api_key}`)
    console.log(response.data)
})()

Or using our package:

const te = require('tradingeconomics');
te.login('your_api_key');
data = te.getMarketsForecast(category = 'index').then(function(data){
    console.log(data)     
});

Using Requests:

using (var httpClient = new HttpClient())
{
    using (var request = new HttpRequestMessage(new HttpMethod("GET"), "https://api.tradingeconomics.com/markets/forecasts/index?c=your_api_key"))
    {
        request.Headers.TryAddWithoutValidation("Upgrade-Insecure-Requests", "1");
        var response = await httpClient.SendAsync(request);
        if (response.IsSuccessStatusCode)
        {
            var content = await response.Content.ReadAsStringAsync(); 
            Console.WriteLine(content);
        }
    }
}

The response data format can be configured by appending the &f= parameter to the URL request.

https://api.tradingeconomics.com/markets/forecasts/index?c={your_api_key}&f=json

[
  {
    "Symbol": "AEX:IND",
    "Country": "Netherlands",
    "Date": "2023-10-11T13:52:06.22",
    "Type": "index",
    "Last": 740.23,
    "Unit": "Index Points",
    "URL": "/netherlands/stock-market",
    "Importance": 190,
    "Forecast1": 709.9859,
    "ForecastDate1": "2023-12-31",
    "Forecast2": 693.63515,
    "ForecastDate2": "2024-03-31",
    "Forecast3": 677.72042,
    "ForecastDate3": "2024-06-30",
    "Forecast4": 662.09637,
    "ForecastDate4": "2024-09-30"
  },
  {
    "Symbol": "ADSMI:IND",
    "Country": "United Arab Emirates",
    "Date": "2023-10-11T00:00:00",
    "Type": "index",
    "Last": 9647.76,
    "Unit": "Index Points",
    "URL": "/united-arab-emirates/stock-market",
    "Importance": 330,
    "Forecast1": 9598.3758,
    "ForecastDate1": "2023-12-31",
    "Forecast2": 9443.2485,
    "ForecastDate2": "2024-03-31",
    "Forecast3": 9290.0726,
    "ForecastDate3": "2024-06-30",
    "Forecast4": 9139.8236,
    "ForecastDate4": "2024-09-30"
  },
  {
    "Symbol": "ALSIUG:IND",
    "Country": "Uganda",
    "Date": "2023-10-11T00:00:00",
    "Type": "index",
    "Last": 923.89,
    "Unit": "Index Points",
    "URL": "/uganda/stock-market",
    "Importance": 999,
    "Forecast1": 879.8882,
    "ForecastDate1": "2023-12-31",
    "Forecast2": 833.637,
    "ForecastDate2": "2024-03-31",
    "Forecast3": 789.8004,
    "ForecastDate3": "2024-06-30",
    "Forecast4": 748.1929,
    "ForecastDate4": "2024-09-30"
  }
]

https://api.tradingeconomics.com/markets/forecasts/index?c={your_api_key}&f=csv

Symbol,Country,Date,Type,Last,Unit,URL,Importance,Forecast1,ForecastDate1,Forecast2,ForecastDate2,Forecast3,ForecastDate3,Forecast4,ForecastDate4
AEX:IND,Netherlands,10/11/2023 1:53:07 PM,index,740.2400,Index Points,/netherlands/stock-market,190,709.9859,2023-12-31,693.63515,2024-03-31,677.72042,2024-06-30,662.09637,2024-09-30
ADSMI:IND,United Arab Emirates,10/11/2023 12:00:00 AM,index,9647.7600,Index Points,/united-arab-emirates/stock-market,330,9598.3758,2023-12-31,9443.2485,2024-03-31,9290.0726,2024-06-30,9139.8236,2024-09-30
ALSIUG:IND,Uganda,10/11/2023 12:00:00 AM,index,923.8900,Index Points,/uganda/stock-market,999,879.8882,2023-12-31,833.6370,2024-03-31,789.8004,2024-06-30,748.1929,2024-09-30

https://api.tradingeconomics.com/markets/forecasts/index?c={your_api_key}&f=xml

<ArrayOfMarkets.MarketsForecastsItem xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.datacontract.org/2004/07/APILib.DB">
<Markets.MarketsForecastsItem>
<Country>Netherlands</Country>
<Date>2023-10-11T13:52:06.22</Date>
<Forecast1>709.9859</Forecast1>
<Forecast2>693.63515</Forecast2>
<Forecast3>677.72042</Forecast3>
<Forecast4>662.09637</Forecast4>
<ForecastDate1>2023-12-31</ForecastDate1>
<ForecastDate2>2024-03-31</ForecastDate2>
<ForecastDate3>2024-06-30</ForecastDate3>
<ForecastDate4>2024-09-30</ForecastDate4>
<Importance>190</Importance>
<Last>740.2300</Last>
<Symbol>AEX:IND</Symbol>
<Type>index</Type>
<URL>/netherlands/stock-market</URL>
<Unit>Index Points</Unit>
</Markets.MarketsForecastsItem>
<Markets.MarketsForecastsItem>
<Country>United Arab Emirates</Country>
<Date>2023-10-11T00:00:00</Date>
<Forecast1>9598.3758</Forecast1>
<Forecast2>9443.2485</Forecast2>
<Forecast3>9290.0726</Forecast3>
<Forecast4>9139.8236</Forecast4>
<ForecastDate1>2023-12-31</ForecastDate1>
<ForecastDate2>2024-03-31</ForecastDate2>
<ForecastDate3>2024-06-30</ForecastDate3>
<ForecastDate4>2024-09-30</ForecastDate4>
<Importance>330</Importance>
<Last>9647.7600</Last>
<Symbol>ADSMI:IND</Symbol>
<Type>index</Type>
<URL>/united-arab-emirates/stock-market</URL>
<Unit>Index Points</Unit>
</Markets.MarketsForecastsItem>
<Markets.MarketsForecastsItem>
<Country>Uganda</Country>
<Date>2023-10-11T00:00:00</Date>
<Forecast1>879.8882</Forecast1>
<Forecast2>833.6370</Forecast2>
<Forecast3>789.8004</Forecast3>
<Forecast4>748.1929</Forecast4>
<ForecastDate1>2023-12-31</ForecastDate1>
<ForecastDate2>2024-03-31</ForecastDate2>
<ForecastDate3>2024-06-30</ForecastDate3>
<ForecastDate4>2024-09-30</ForecastDate4>
<Importance>999</Importance>
<Last>923.8900</Last>
<Symbol>ALSIUG:IND</Symbol>
<Type>index</Type>
<URL>/uganda/stock-market</URL>
<Unit>Index Points</Unit>
</Markets.MarketsForecastsItem>
</ArrayOfMarkets.MarketsForecastsItem>

https://api.tradingeconomics.com/markets/forecasts/index?c={your_api_key}

Symbol	Country	Date	Type	Last	Unit	URL	Importance	Forecast1	ForecastDate1	Forecast2	ForecastDate2	Forecast3	ForecastDate3	Forecast4	ForecastDate4
AEX:IND	Netherlands	7/13/2023 5:33:10 PM	index	775.7600	Index Points	/netherlands/stock-market	190	733.9284	2023-09-30	714.8644	2023-12-31	696.2524	2024-03-31	678.1680	2024-06-30
ADSMI:IND	United Arab Emirates	7/13/2023 12:00:00 AM	index	9627.0400	Index Points	/united-arab-emirates/stock-market	330	9423.5919	2023-09-30	9246.8756	2023-12-31	9073.0405	2024-03-31	8902.0866	2024-06-30
ALSIUG:IND	Uganda	7/13/2023 12:00:00 AM	index	1031.6800	Index Points	/uganda/stock-market	999	966.8174	2023-09-30	914.2697	2023-12-31	864.6867	2024-03-31	817.7617	2024-06-30

By symbol

Using Requests:

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/markets/forecasts/symbol/AAPL:US,DAX:IND,INDU:IND?c={your_api_key}'
data = requests.get(url).json()
print(data)

Or using our package:

te.getMarketsForecasts(symbol='aapl:us')

With multi symbols:

te.getMarketsForecasts(symbol=['AAPL:US','DAX:IND',
 'INDU:IND'])

Using Requests:

const axios = require('axios');
(async () => {
    const your_api_key = 'your_api_key'
    const response = await axios.get(`https://api.tradingeconomics.com/markets/forecasts/symbol/AAPL:US,DAX:IND,INDU:IND?c=${your_api_key}`)
    console.log(response.data)
})()

Or using our package:

data = te.getMarketsForecast(symbol = 'aapl:us').then(function(data){
    console.log(data)     
});

With multi symbols:

data = te.getMarketsForecast(symbol = ['AAPL:US','DAX:IND',
 'INDU:IND']).then(function(data){
    console.log(data)     
});

Using Requests:

new HttpRequestMessage(new HttpMethod("GET"), "https://api.tradingeconomics.com/markets/forecasts/symbol/aapl:us?c=your_api_key");

With multi symbols:

new HttpRequestMessage(new HttpMethod("GET"), "https://api.tradingeconomics.com/markets/forecasts/symbol/BULGARIAGOVB10Y:GOV,LITHUANIAGOVBON10Y:GOV,GBGB10YR:GOV?c=your_api_key");

https://api.tradingeconomics.com/markets/forecasts/symbol/{symbols}?c={your_api_key}&f=json

[
  {
    "Symbol": "AAPL:US",
    "Country": "United States",
    "Date": "2023-10-11T13:53:08.263",
    "Type": "stocks",
    "Last": 178.8601,
    "Unit": "USD",
    "URL": "/aapl:us",
    "Importance": 500,
    "Forecast1": 172.69777,
    "ForecastDate1": "2023-12-31",
    "Forecast2": 168.0349,
    "ForecastDate2": "2024-03-31",
    "Forecast3": 163.4979,
    "ForecastDate3": "2024-06-30",
    "Forecast4": 159.0835,
    "ForecastDate4": "2024-09-30"
  },
  {
    "Symbol": "DAX:IND",
    "Country": "Germany",
    "Date": "2023-10-11T13:54:29.037",
    "Type": "index",
    "Last": 15467.3,
    "Unit": "Index Points",
    "URL": "/germany/stock-market",
    "Importance": 70,
    "Forecast1": 14871.8704,
    "ForecastDate1": "2023-12-31",
    "Forecast2": 14523.1086,
    "ForecastDate2": "2024-03-31",
    "Forecast3": 14180.4388,
    "ForecastDate3": "2024-06-30",
    "Forecast4": 13848.4298,
    "ForecastDate4": "2024-09-30"
  },
  {
    "Symbol": "INDU:IND",
    "Country": "United States",
    "Date": "2023-10-11T13:54:44.333",
    "Type": "index",
    "Last": 33800.25,
    "Unit": "Index Points",
    "URL": "/indu:ind",
    "Importance": 2,
    "Forecast1": 32505.57534,
    "ForecastDate1": "2023-12-31",
    "Forecast2": 31627.9248,
    "ForecastDate2": "2024-03-31",
    "Forecast3": 30773.9708,
    "ForecastDate3": "2024-06-30",
    "Forecast4": 29943.0736,
    "ForecastDate4": "2024-09-30"
  }
]

https://api.tradingeconomics.com/markets/forecasts/symbol/{symbols}?c={your_api_key}&f=csv

Symbol,Country,Date,Type,Last,Unit,URL,Importance,Forecast1,ForecastDate1,Forecast2,ForecastDate2,Forecast3,ForecastDate3,Forecast4,ForecastDate4
AAPL:US,United States,10/11/2023 1:55:08 PM,stocks,177.8500,Index Points,/aapl:us,500,172.69777,2023-12-31,168.0349,2024-03-31,163.4979,2024-06-30,159.0835,2024-09-30
DAX:IND,Germany,10/11/2023 1:54:29 PM,index,15467.3000,Index Points,/germany/stock-market,70,14871.8704,2023-12-31,14523.1086,2024-03-31,14180.4388,2024-06-30,13848.4298,2024-09-30
INDU:IND,United States,10/11/2023 1:54:44 PM,index,33800.2500,Index Points,/indu:ind,2,32505.57534,2023-12-31,31627.9248,2024-03-31,30773.9708,2024-06-30,29943.0736,2024-09-30

https://api.tradingeconomics.com/markets/forecasts/symbol/{symbols}?c={your_api_key}&f=xml

<ArrayOfMarkets.MarketsForecastsItem xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.datacontract.org/2004/07/APILib.DB">
<Markets.MarketsForecastsItem>
<Country>United States</Country>
<Date>2023-10-11T13:53:08.263</Date>
<Forecast1>172.69777</Forecast1>
<Forecast2>168.0349</Forecast2>
<Forecast3>163.4979</Forecast3>
<Forecast4>159.0835</Forecast4>
<ForecastDate1>2023-12-31</ForecastDate1>
<ForecastDate2>2024-03-31</ForecastDate2>
<ForecastDate3>2024-06-30</ForecastDate3>
<ForecastDate4>2024-09-30</ForecastDate4>
<Importance>500</Importance>
<Last>178.8601</Last>
<Symbol>AAPL:US</Symbol>
<Type>stocks</Type>
<URL>/aapl:us</URL>
<Unit>USD</Unit>
</Markets.MarketsForecastsItem>
<Markets.MarketsForecastsItem>
<Country>Germany</Country>
<Date>2023-10-11T13:54:29.037</Date>
<Forecast1>14871.8704</Forecast1>
<Forecast2>14523.1086</Forecast2>
<Forecast3>14180.4388</Forecast3>
<Forecast4>13848.4298</Forecast4>
<ForecastDate1>2023-12-31</ForecastDate1>
<ForecastDate2>2024-03-31</ForecastDate2>
<ForecastDate3>2024-06-30</ForecastDate3>
<ForecastDate4>2024-09-30</ForecastDate4>
<Importance>70</Importance>
<Last>15467.3000</Last>
<Symbol>DAX:IND</Symbol>
<Type>index</Type>
<URL>/germany/stock-market</URL>
<Unit>Index Points</Unit>
</Markets.MarketsForecastsItem>
<Markets.MarketsForecastsItem>
<Country>United States</Country>
<Date>2023-10-11T13:54:44.333</Date>
<Forecast1>32505.57534</Forecast1>
<Forecast2>31627.9248</Forecast2>
<Forecast3>30773.9708</Forecast3>
<Forecast4>29943.0736</Forecast4>
<ForecastDate1>2023-12-31</ForecastDate1>
<ForecastDate2>2024-03-31</ForecastDate2>
<ForecastDate3>2024-06-30</ForecastDate3>
<ForecastDate4>2024-09-30</ForecastDate4>
<Importance>2</Importance>
<Last>33800.2500</Last>
<Symbol>INDU:IND</Symbol>
<Type>index</Type>
<URL>/indu:ind</URL>
<Unit>Index Points</Unit>
</Markets.MarketsForecastsItem>
</ArrayOfMarkets.MarketsForecastsItem>

https://api.tradingeconomics.com/markets/forecasts/symbol/{symbols}?c={your_api_key}

Symbol	Country	Date	Type	Last	Unit	URL	Importance	Forecast1	ForecastDate1	Forecast2	ForecastDate2	Forecast3	ForecastDate3	Forecast4	ForecastDate4
AAPL:US	United States	7/13/2023 6:25:17 PM	stocks	190.7700	USD	/aapl:us	500	185.4935	2023-09-30	180.4480	2023-12-31	175.5398	2024-03-31	170.7652	2024-06-30
DAX:IND	Germany	7/13/2023 6:25:37 PM	index	16150.7000	Index Points	/germany/stock-market	70	15164.94446	2023-09-30	14738.97164	2023-12-31	14323.9212	2024-03-31	13921.35348	2024-06-30
INDU:IND	United States	7/13/2023 6:25:09 PM	index	34422.1100	Index Points	/united-states/stock-market	1	32817.2912	2023-09-30	31923.3169	2023-12-31	31056.3305	2024-03-31	30212.9585	2024-06-30

Response fields

Field	Type	Description	Example
Symbol	string	Unique symbol used by Trading Economics .	“AEX:IND”
Country	string	Name of the country associated with the indicator.	“Netherlands”
Date	string	Date of the reported value, in UTC format.	“2023-04-17T12:02:51.543”
Type	string	Name of the market category	“index”
Last	number	Latest released forecast	760.3300
Unit	string	Unit of measurement for the value.	“Index Points”
URL	string	Hyperlink to the indicator page on Trading Economics.	“/netherlands/stock-market”
Importance	number	Indicator importance from 0 (lowest) to 1000 (highest).	190
Forecast1	number	Forecast for the next quarter.	737.4159
ForecastDate1	number	Release date associated with Forecast1.	2023-06-30
Forecast2	number	Forecast for the next quarter following Forecast1	714.1932
ForecastDate2	number	Release date associated with Forecast2.	2023-09-30
Forecast3	number	Forecast for the next quarter following Forecast2	691.65576
ForecastDate3	number	Release date associated with Forecast3.	2023-12-31
Forecast4	number	Forecast for the next quarter following Forecast3	669.87972
ForecastDate4	number	Release date associated with Forecast4.	2024-03-31