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The Data
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Coming Soon
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About
Leaderboard
How is this calculated?
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 |
|
@VegetaCrypto1 | 85 | 11.7% |
| 2 |
|
@ChrisRomanoC | 32 | 33.5% |
| 3 |
|
@BITCOINTRAPPER | 30 | 37.6% |
| 4 |
|
@BitrueOfficial | 91 | 11.9% |
| 5 |
|
@CryptoNewton | 17 | 20.6% |
| 6 |
|
@Phoenix_Ash3s | 29 | 31.2% |
| 7 |
|
@Hayess5178 | 100 | 10.3% |
| 8 |
|
@damskotrades | 24 | 17.9% |
| 9 |
|
@Bitcoin300k | 35 | 8.9% |
| 10 |
|
@Trader_XO | 11 | 22.5% |
| 11 |
|
@myoperaa | 81 | 4.7% |
| 12 |
|
@ChartGuys | 62 | 9.4% |
| 13 |
|
@AltstreetBet | 10 | 21.0% |
| 14 |
|
@ChartSimpson | 21 | 16.0% |
| 15 |
|
@crypto_iso | 10 | 14.6% |
| 16 |
|
@ChadCaff | 16 | 18.2% |
| 17 |
|
@BigCheds | 64 | 5.7% |
| 18 |
|
@ConquererCrypto | 41 | 3.9% |
| 19 |
|
@tradeboicarti16 | 10 | 13.1% |
| 20 |
|
@Bancor | 11 | 22.9% |