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🤖🤖🤖🤖🤖Here are our predictions for the MAXIMUM PRICES of four cryptocurrencies for the next 24 hours.
We want to tell you what data we use to make our predictions.
1. We take ALL historical daily data. All means from when the currency was launched until today. This is a fundamental difference from those who make predictions based on technical indicators, using data from the last few days, weeks, or months.
2. By taking all the cryptocurrency data and training our neural network with that data, we identify patterns, trends, and relationships that are IMPOSSIBLE to detect using technical indicators alone.
3. The primary daily data we extract are: opening price, closing price, maximum price, minimum price, and trading volume. With this data, we calculate the main technical indicators for each day and incorporate them into the data as a “feature.” In other words, the values of each technical indicator become a column in the data frame.
4. As you can imagine, the volume of data is enormous, but today that is not a limitation; we have the Big Data management tools and computing power necessary to process such large amounts of data.
Now, take a look at the predictions that result from processing that mountain of data:
$BTC $SOL $ETH
#Predictions #CollaborationTools
We want to tell you what data we use to make our predictions.
1. We take ALL historical daily data. All means from when the currency was launched until today. This is a fundamental difference from those who make predictions based on technical indicators, using data from the last few days, weeks, or months.
2. By taking all the cryptocurrency data and training our neural network with that data, we identify patterns, trends, and relationships that are IMPOSSIBLE to detect using technical indicators alone.
3. The primary daily data we extract are: opening price, closing price, maximum price, minimum price, and trading volume. With this data, we calculate the main technical indicators for each day and incorporate them into the data as a “feature.” In other words, the values of each technical indicator become a column in the data frame.
4. As you can imagine, the volume of data is enormous, but today that is not a limitation; we have the Big Data management tools and computing power necessary to process such large amounts of data.
Now, take a look at the predictions that result from processing that mountain of data:
$BTC $SOL $ETH
#Predictions #CollaborationTools
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4 trgovanj
XRP/USDT
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