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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 |
|
@binance | 1140 | 561.0% |
| 2 |
|
@MiddleChildPabk | 3420 | 566.6% |
| 3 |
|
@CryptoNewton | 1224 | 225.9% |
| 4 |
|
@CryptoLimbo_ | 861 | 205.9% |
| 5 |
|
@AltcoinSherpa | 1555 | 238.2% |
| 6 |
|
@BITCOINTRAPPER | 1690 | 144.5% |
| 7 |
|
@VEGETACRYPTO1 | 1368 | 145.3% |
| 8 |
|
@Phoenix_Ash3s | 737 | 333.8% |
| 9 |
|
@CryptoWendyO | 589 | 168.3% |
| 10 |
|
@AlexjFerraro | 2782 | 176.4% |
| 11 |
|
@CryptoNTez | 694 | 278.5% |
| 12 |
|
@damskotrades | 1178 | 247.5% |
| 13 |
|
@kucoincom | 609 | 146.1% |
| 14 |
|
@fomosaurus | 878 | 97.4% |
| 15 |
|
@ruffiian | 263 | 204.2% |
| 16 |
|
@j0hnnyw00 | 965 | 152.6% |
| 17 |
|
@TradySlim | 772 | 342.0% |
| 18 |
|
@CryptoTony__ | 1253 | 132.2% |
| 19 |
|
@devchart | 885 | 117.9% |
| 20 |
|
@cryptochimpanz | 1014 | 178.5% |