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 |
|
@CryptoMagnified | 6 | 3,448.7% |
2 |
|
@BITCOINTRAPPER | 82 | 477% |
3 |
|
@BagsyBot | 113 | 20.8% |
4 |
|
@Chiliz | 12 | 40.6% |
5 |
|
@trader1sz | 21 | 11.1% |
6 |
|
@ChronicleXNL | 14 | 26.9% |
7 |
|
@AgeOfTanksNFT | 10 | 67.8% |
8 |
|
@DarkFrontiersGS | 7 | 23.6% |
9 |
|
@tracyalloway | 1 | 40.1% |
10 |
|
@TheBirbNest | 2 | 18% |
11 |
|
@BinStarterio | 9 | 32.4% |
12 |
|
@MattGlantz | 7 | 16.1% |
13 |
|
@plutus | 6 | 28.6% |
14 |
|
@ChartAlertsIO | 229 | 5.4% |
15 |
|
@CryptoCronkite | 6 | 5.2% |
16 |
|
@EasyfiNetwork | 16 | 8.3% |
17 |
|
@saylor | 4 | 10.6% |
18 |
|
@zorinaq | 1 | 16.4% |
19 |
|
@rickytheirish | 1 | 16.4% |
20 |
|
@_theperfesser | 2 | 16.4% |