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 |
|
@Crypto_Dep | 316 | 11.4% |
2 |
|
@CryptoDiffer | 210 | 5.2% |
3 |
|
@ConquererCrypto | 69 | 9.6% |
4 |
|
@CitadelDAO | 9 | 32.2% |
5 |
|
@eliz883 | 67 | 12.9% |
6 |
|
@CryptoWizardd | 26 | 18.5% |
7 |
|
@CryptoExpert101 | 19 | 16.6% |
8 |
|
@Bibox365 | 3 | 109.0% |
9 |
|
@CryptosBatman | 19 | 13.9% |
10 |
|
@Bybit_Official | 54 | 7.7% |
11 |
|
@Hayess5178 | 42 | 9.3% |
12 |
|
@TheEuroSniper | 34 | 10.9% |
13 |
|
@TicTocTick | 38 | 8.2% |
14 |
|
@binance | 14 | 15.3% |
15 |
|
@ChartGuys | 42 | 8.7% |
16 |
|
@kucoincom | 20 | 10.2% |
17 |
|
@VegetaCrypto1 | 34 | 14.8% |
18 |
|
@Phoenix_Ash3s | 19 | 17.7% |
19 |
|
@HackermanAce | 29 | 9.1% |
20 |
|
@IrnCrypt | 12 | 11.8% |