Ranked Trading Volume (Volume*Price) of BtcTurk TRY Pairs.py

Ranked Trading Volume (Volume*Price) of BtcTurk TRY Pairs.py

import requests
import matplotlib.pyplot as plt

# Fetch Data
response = requests.get("https://api.btcturk.com/api/v2/ticker")
data = response.json()
# Gets snapshot information about the last trade (tick), best bid/ask and 24h volume.

# Parse Data for TRY pairs only, excluding USDT pairs
pairs_data = [
    (item['pair'], float(item['last']), float(item['volume']), float(item['last']) * float(item['volume']))
    for item in data['data']
    if 'TRY' in item['pair'] and 'USDT' not in item['pair']
]

# Sort the pairs by the product of volume and price in descending order
pairs_data.sort(key=lambda x: x[3], reverse=True)

# Unpack the sorted data
pair_names, prices, volumes, volume_price_product = zip(*pairs_data)

# Visualization with a Bar Chart
indices = range(len(prices))

fig, ax1 = plt.subplots(figsize=(20, 10))

color = 'tab:blue'
ax1.set_xlabel('Pair')
ax1.set_ylabel('Volume*Price', color=color)
ax1.bar(indices, volume_price_product, color=color, alpha=0.6, label='Volume*Price')
ax1.tick_params(axis='y', labelcolor=color)
ax1.set_xticks(indices)
ax1.set_xticklabels(pair_names, rotation=90, ha="center")

plt.title('Ranked Trading Volume (Volume*Price) of BtcTurk TRY Pairs')
plt.show()

#top10

Consider only the top 10 entries for visualization

top_10_pairs_data = pairs_data[:10]

Unpack the sorted data

pair_names, prices, volumes, volume_price_product = zip(*top_10_pairs_data)

Visualization with a Bar Chart

indices = range(len(prices))

fig, ax1 = plt.subplots(figsize=(20, 10))

color = 'tab:blue'
ax1.set_xlabel('Pair')
ax1.set_ylabel('VolumePrice', color=color)
ax1.bar(indices, volume_price_product, color=color, alpha=0.6, label='VolumePrice')
ax1.tick_params(axis='y', labelcolor=color)
ax1.set_xticks(indices)
ax1.set_xticklabels(pair_names, rotation=90, ha="center")

plt.title('Ranked Trading Volume (Volume*Price) of BtcTurk TRY Pairs')
plt.show()