Cryptocurrencies Forecast

The Bitcoin Package is designed for investors and analysts who need predictions for the Cryptocurrencies Forecast. It includes 7 predictions with bullish and bearish signals and indicates the predicted direction in the given time horizon for the cryptocurrencies:

Package Name: bitcoin
Forecast Length: 1 Month (6/29/21 – 7/29/21)
I Know First Average Return: 10.2%

During the 1 Month forecasted period several picks in the bitcoin Package saw significant returns. The algorithm had correctly predicted 6 out 7 returns. The top-performing prediction in this forecast was ETH/USD, which registered a return of 16.5%. The other notable return came from BTC/USD with a return of 15.67%. The package had an overall average return of 10.2% during the period.

Exchange Rate of Ethereum to U.S. DollarETHUSD BIT

Algorithmic traders utilize these daily forecasts by the I Know First market prediction system as a tool to enhance portfolio performance, verify their own analysis and act on market opportunities faster. This forecast was sent to current I Know First subscribers.

How to interpret this diagram

Algorithmic Stock Forecast: The table on the left is a stock forecast produced by I Know First’s algorithm. Each day, subscribers receive forecasts for six different time horizons. Note that the top 7 stocks in the 1-month forecast may be different than those in the 1-year forecast. In the included table, only the relevant stocks have been included. The boxes are arranged according to their respective signal and predictability values (see below for detailed definitions). A green box represents a positive forecast, suggesting a long position, while a red represents a negative forecast, suggesting a short position.

Signal: This indicator represents the predicted movement direction/trend; not a percentage or specific target price. The signal strength indicates how much the current price deviates from what the system considers an equilibrium or “fair” price.

Predictability: This value is obtained by calculating the correlation between the current prediction and the actual asset movement for each discrete time period. The algorithm then averages the results of all the prediction points, while giving more weight to recent performance. As the machine keeps learning, the values of P generally increase.

Please note-for trading decisions use the most recent forecast. Get today’s forecast and Top stock picks.