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 | |
21 |
|
@Benzinga | 38 | 4.7% |
22 |
|
@AltcoinSherpa | 22 | 9.7% |
23 |
|
@TradySlim | 38 | 4.6% |
24 |
|
@CryptoTony__ | 37 | 4.1% |
25 |
|
@i_am_jackis | 17 | 7.3% |
26 |
|
@I_Make_Lemonade | 11 | 90.2% |
27 |
|
@TicTocTick | 41 | 4.9% |
28 |
|
@CryptosBatman | 12 | 13.6% |
29 |
|
@BullChain | 7 | 13.2% |
30 |
|
@AltcoinDailyio | 21 | 7.8% |
31 |
|
@CryptoCartCC | 3 | 25.9% |
32 |
|
@CryptoGodJohn | 36 | 7.7% |
33 |
|
@BitrueOfficial | 35 | 3.1% |
34 |
|
@krakenfx | 12 | 10.3% |
35 |
|
@CryptoWendyO | 13 | 8.9% |
36 |
|
@KongBTC | 22 | 10.2% |
37 |
|
@ElonTrades | 14 | 8.6% |
38 |
|
@binance | 20 | 4.2% |
39 |
|
@VegetaCrypto1 | 78 | 4.0% |
40 |
|
@Blockchainsanta | 35 | 10.6% |