Sentiment History (Index) - Algorithm by infotrie

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Sentiment History (Index) This API returns News Sentiment data aggregated by major stockindex. Input : Index Id (see https://algorithmia.com/algorithms/infotrie/Index) and Format. Output: Detailed sentiment history of the company including sentiment score, Sentiment high / low, News Volume, News Buzz and Date. Indicators Description: Sentiment Score: A measure of the bullishness / bearishness of the language used in media for a given stock on a given day. Ranges from -5 (extremely negative coverage) to +5 (extremely positive coverage); a score of 0 indicates an absence of articles for that day. Alternatively, scores may also be expressed on a 0 to 10 scale with 0 still indicating an absence of articles for that day, 1,2,3 a negative score, 4,5,6,7a neutral score, and 8,9,10 a positive score. The overall sentiment score is computed as a weighted average of sentiment scores over news titles, headers and company specific phrases. A significant correlation between news sentiment and stock prices is observed across most listings. Sentiment High: The intraday maximum value of the sentiment score, polled at5 minutes intervals. Sentiment Low: The intraday minimum value of the sentiment score, polled at 5minutes intervals. News Volume: The number of news articles about this stock, published and parsed on a given day. Volume of news provides a good indicator of a trend breakout or a trend reversal. News Buzz: A measure of the rate of change in news coverage of a given stock on a given day, normalized on a scale of 1 to 10. The buzz score measures the change in the standard deviation of periodic news volume. It can be thought of as the "rate of change of news"; it thus serves as a risk alert indicator. Please refer to our static data user guide for more information: http://www.infotrie.com/interestingreads/static-data-user-guide and our APIHelp: http://www.infotrie.com/interestingreads/api-help. See also http://www.finsents.com. Example {"indexId":"in_9”} Output {
 "volume": 3352,
 "date": "29-04-2015",
 "sentiment": "5.641",
 "buzz": "5.191"
 }


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1. Type your input

2. See the result

Running algorithm...

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/infotrie/Sentiment_History_Index/0.2.0

View cURL Docs

algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://infotrie/Sentiment_History_Index/0.2.0 -d '{{input | formatInput:"cli"}}'

View CLI Docs

import (
  algorithmia "github.com/algorithmiaio/algorithmia-go"
)

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://infotrie/Sentiment_History_Index/0.2.0")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
fmt.Println(response.Result)

View Go Docs

import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://infotrie/Sentiment_History_Index/0.2.0");
AlgoResponse result = algo.pipeJson(input);
System.out.println(result.asJsonString());

View Java Docs

import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://infotrie/Sentiment_History_Index/0.2.0")
val result = algo.pipeJson(input)
System.out.println(result.asJsonString)

View Scala Docs

var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://infotrie/Sentiment_History_Index/0.2.0")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });

View Javascript Docs

var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://infotrie/Sentiment_History_Index/0.2.0")
           .pipe(input)
           .then(function(response) {
             console.log(response.get());
           });

View NodeJS Docs

import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('infotrie/Sentiment_History_Index/0.2.0')
print algo.pipe(input)

View Python Docs

library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("infotrie/Sentiment_History_Index/0.2.0")
result <- algo$pipe(input)$result
print(result)

View R Docs

require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('infotrie/Sentiment_History_Index/0.2.0')
puts algo.pipe(input).result

View Ruby Docs

use algorithmia::Algorithmia;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("infotrie/Sentiment_History_Index/0.2.0");
let response = algo.pipe(input);

View Rust Docs

import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "infotrie/Sentiment_History_Index/0.2.0") { resp, error in
  print(resp)
}

View Swift Docs

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