This is a summary of the result of investing 1000 USD in seven coins (BTC, ETH, XRP, BNB, DOT, DOGE, TRX) and trading with them for one month based on TwitterWatcher unique alerts and signals.
The calculation from the investment is based on the following rules.
If you would use every alert TwitterWatcher is providing on BTC, ETH, XRP, BNB, DOT, DOGE, TRX and play within on compound from an initial investment of 1000 USDT, you would end up with 2054.19 USDT. That is a 105.42% gain within a single month.
If you would use every alert TwitterWatcher is providing on the three most popular coins BTC, ETH, XRP and play within on compound from an initial investment of 1000 USDT, you would end up with 1356.64 USDT. That is a 35.66% gain within a single month.
Last but not least - XRP.
Earning cash is easy when the market goes up - so let's check how the market behaves with two most popular coins.
Our calculation below are based on the assumption that You have bought a $1000 worth of ETH and $1000 worth of BTC.
ETH: 889.87 → 12%+ loss
BTC: 806.37 → 24% loss
Please note that this document is not financial advice and should not be treated like it in any form.
The monthly report was created by Lukasz Wedel - COO at TwitterWatcher, for every question/feedback feel free to reach out to Lukasz via LinkedIn - https://www.linkedin.com/in/lukaszwedel/
Our platform is creating and providing alerts and signals for crypto markets with a unique approach. Our main focus is to identify how positive and negative Twitter impacts crypto coins behaviour. We are performing sentiment analysis of every Tweet (containing a tag we are observing). Then using this data along with technical analysis we are merging it together to get you the right moment to gain profit.
Want to know more - check https://twitterwatcher.com/
We are offering TwitterWatcher service in the SaaS model for the B2B market. If you want to support your traders with an effective tool that will increase their profits feel free to reach out to Marcin Mucha - CEO at TwitterWatcher via LinkedIn - https://www.linkedin.com/in/marcinmucha/ and schedule a presentation with a live demo of the platform.