Signally references tweets with $crypto hashtags against a database of prices, giving us a ‘price_then’ for each tweet. Signally considers ‘a call’ the first time a user mentions a particular asset within a given time period and calculates a theoretical ROI based on that data point. From this signally can create many interesting analytics. You can click on the links in the table to explore the data further.
# | User | Calls | ROI | |
1 |
|
@CryptoDiffer | 189 | 3.5% |
2 |
|
@Crypto_Dep | 154 | 3.4% |
3 |
|
@CryptoWizardd | 18 | 16.3% |
4 |
|
@ChartGuys | 26 | 11.0% |
5 |
|
@Dentoshi | 14 | 14.5% |
6 |
|
@TheEuroSniper | 10 | 10.4% |
7 |
|
@kucoincom | 17 | 6.5% |
8 |
|
@73lV_ | 38 | 13.9% |
9 |
|
@AdrianStarr108 | 45 | 9.0% |
10 |
|
@Hayess5178 | 41 | 3.0% |
11 |
|
@BillyBobBaghold | 33 | 4.9% |
12 |
|
@CryptoTony__ | 27 | 4.0% |
13 |
|
@Coin_Shark | 7 | 10.9% |
14 |
|
@Benzinga | 19 | 4.5% |
15 |
|
@TradySlim | 26 | 4.1% |
16 |
|
@i_am_jackis | 14 | 5.0% |
17 |
|
@ConquererCrypto | 54 | 2.9% |
18 |
|
@CryptosBatman | 5 | 15.0% |
19 |
|
@Cryptocito | 4 | 19.6% |
20 |
|
@myoperaa | 36 | 4.8% |