The Moodix sentiment index is an indicator of how financial markets react to the constant influx of news (headlines). From our long-term research (since 2017), it appears that the vast majority of major market reactions, i.e., price changes, in the case of Moodix futures ES, which most major European and American markets strongly correlate with, are the result of randomly emerging news.
Market makers, hedge funds, and other large traders operating on Bid/Ask must respond to news from the world’s largest news agencies (Bloomberg, Financial Times, Reuters, Wall Street Journal, etc.) and adjust their probability models of further development.
The resulting market reaction is de facto a consensus of these major players on each price-forming news. This is very important for ordinary traders, as we can estimate how they will react in the following hours and days to the next incoming news. We know what “average” mood these players are in.
Get started with the
Simply make an HTTPS [GET] request or call in your browser:
test endpoint returns a JSON response like this:
Example response from TAAPI.IO when querying test endpoint.
BTC/USDTBitcoin to Tether, or
LTC/BTCLitecoin to Bitcoin...
1w. So if you're interested in values on hourly candles, use
interval=1h, for daily values use
backtrackparameter removes candles from the data set and calculates the test value X amount of candles back. So, if you’re fetching the test on the hourly and you want to know what the test was 5 hours ago, set
backtrack=5. The default is
0and a maximum is
backtracksparameter returns the test value calculated on every candle for the past X candles. For example, if you want to know what the test was every hour for the past 12 hours, you use
backtracks=12. As a result, you will get 12 values back.
chartparameter accepts one of two values:
candlesis the default, but if you set this to
heikinashi, the indicator values will be calculated using Heikin Ashi candles. Note: Pro & Expert Plans only.
false. Defaults to
false. By setting to
truethe API will return a timestamp with every result (real-time and backtracked) to which candle the value corresponds. This is helpful when requesting multiple backtracks.
false. Defaults to
true. By setting to
false, the API will ensure that there are no candles missing. This often happens on lower timeframes in thin markets. Gaps will be filled by a new candle with 0 volume, and OHLC set the the close price of the latest candle with volume.
max. Use this parameter to access historical values on the past X candles until the most recent candle. Use
maxto return all available historical values. Returns an array with the oldest value on top and most recent value returned the last.
Let's say you want to know the
test value on the last closed candle on the
30m timeframe. You are not interest in the real-time value, so you use the
backtrack=1 optional parameter to go back 1 candle in history to the last closed candle.
Get test values on each of the past X candles in one call
Let's say you want to know what the
test daily value was each day for the previous 10 days. You can get this returned by our API easily and efficiently in one call using the
Here's the example response:
Looking for even more integration examples in different languages like NodeJS, PHP, Python, Curl or Ruby? Continue to [GET] REST - Direct documentation.