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On publish0x platform, you can change tipping % so I am going to do 3 visualization.
- 20% to author / 80% to me
- 50% to author / 50% to me
- 80% to author / 20% to me
to see how ETH tipping value is going to be affected.
(also BAT and LRC tokens)
This time I have done, 20% to author / 80% to me for 1 week and see what happened.
Here is the data I have collected and it looks like this 👇
# 20/80
tipping_data = {
'1': {
'eth': [0.00002799, 0.00002823, 0.00002823],
'bat': [0.0828, 0.0409],
'lrc': [0.0404, 0.0408]
},
'2': {
'eth': [0.00002773],
'bat': [0.0728, 0.0182, 0.0177],
'lrc': [0.0685, 0.0342, 0.0334]
},
'3': {
'eth': [0.00002970, 0.00003022],
'bat': [0.0349, 0.0186],
'lrc': [0.1534, 0.0383, 0.0383]
},
'4': {
'eth': [0.00011660, 0.00005830, 0.00002915, 0.00002915, 0.00002929],
'bat': [0.0, 0.0],
'lrc': [0.0326, 0.0326]
},
'5': {
'eth': [0.00005899, 0.00002950, 0.00002957],
'bat': [0.0654, 0.0158, 0.0158],
'lrc': [0.0344]
},
'6': {
'eth': [0.00011296, 0.00005648, 0.00002824, 0.00002844],
'bat': [0.0166],
'lrc': [0.0347, 0.0347]
},
'7': {
'eth': [0.00003037, 0.00012029, 0.00006015],
'bat': [0.0191, 0.0191],
'lrc': [0.0332, 0.0340]
},
}
I am going to take this data and feed the data into python plotly script that I made the other day.
Looks like this 👇
and you can see the graph here.
https://floating-meadow-28045.herokuapp.com/chart-20-80
https://tomoyan.github.io/chart-20-80
Tipping earning avg is about ~$0.10 a day.
I think the average 20/80 tip earning used to be like $0.08 so it seems like they did really increased the reward %. (or it could be the ETH price)
1 week Average: $0.093
ETH Average: $0.054
BAT Average: $0.021
LRC Average: $0.018
(exchange price is done by using coingecko API)
It is nice to see that they are giving more ETH > BAT or LRC.
Next week I am going to do 50/50 and see how this is going to change 😉
My Script 👇
from tip_data import tipping_data
import plotly.graph_objects as go
import requests
import statistics
def get_price(id):
# Call coingecko API to get usd price
base_url = 'https://api.coingecko.com/api/v3/simple/price'
eth_url = '?ids=ethereum&vs_currencies=usd'
bat_url = '?ids=basic-attention-token&vs_currencies=usd'
lrc_url = '?ids=loopring&vs_currencies=usd'
if id == 'ethereum':
try:
r = requests.get(base_url + eth_url, timeout=3)
r.raise_for_status()
except Exception as err:
print("Exception Error:", err)
return 0.0
elif id == 'basic-attention-token':
try:
r = requests.get(base_url + bat_url, timeout=3)
r.raise_for_status()
except Exception as err:
print("Exception Error:", err)
return 0.0
elif id == 'loopring':
try:
r = requests.get(base_url + lrc_url, timeout=3)
r.raise_for_status()
except Exception as err:
print("Exception Error:", err)
return 0.0
else:
return 0.0
return r.json()[id]['usd']
def main():
eth_price = get_price('ethereum')
bat_price = get_price('basic-attention-token')
lrc_price = get_price('loopring')
eth_amount = 0.0
bat_amout = 0.0
lrc_amount = 0.0
days = []
eth_data = []
bat_data = []
lrc_data = []
total_data = []
for key in tipping_data:
eth_amount = f"{sum(tipping_data[key]['eth']) * eth_price:.3f}"
bat_amout = f"{sum(tipping_data[key]['bat']) * bat_price:.3f}"
lrc_amount = f"{sum(tipping_data[key]['lrc']) * lrc_price:.3f}"
days.append('Data ' + key)
eth_data.append(eth_amount)
bat_data.append(bat_amout)
lrc_data.append(lrc_amount)
tip_total = float(eth_amount) + float(bat_amout) + float(lrc_amount)
total_data.append(tip_total)
avg_total = f"${statistics.mean(total_data):.3f}"
print(avg_total)
eth_data = list(map(float, eth_data))
avg_eth = f"${statistics.mean(eth_data):.3f}"
print('AVG_ETH: ' + avg_eth)
bat_data = list(map(float, bat_data))
avg_bat = f"${statistics.mean(bat_data):.3f}"
print('AVG_BAT: ' + avg_bat)
lrc_data = list(map(float, lrc_data))
avg_lrc = f"${statistics.mean(lrc_data):.3f}"
print('AVG_LRC: ' + avg_lrc)
# Daily tipping bar chart
fig = go.Figure(data=[
go.Bar(name='BAT', x=days, y=bat_data),
go.Bar(name='ETH', x=days, y=eth_data),
go.Bar(name='LRC', x=days, y=lrc_data)],
layout_title_text=f"""
Publish0x Tip 20% Author 80% Me Earning Avg: {avg_total}
"""
)
fig.update_traces(texttemplate='%{y:.3f}', textposition='outside')
fig.add_trace(
go.Scatter(
name='Tip Total',
x=days,
y=total_data
)
)
# Change the bar mode
fig.update_layout(
# barmode='stack',
xaxis_title="Tip Data",
yaxis_title="$ Amount",
legend_title="Crypto Tips",
)
fig.write_html('chart-20-80.html', auto_open=True)
fig.show()
if __name__ == '__main__':
main()
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