init

README.md

@@ -1 +1,11 @@
-# eth_analytics
+# Ethereum Analytics
+
+A repository to track blockchain analytics. This repo is WIP and code should be expected to break. 
+
+## Getting Started
+
+Using a python3 environment, run the following to install all the libraries used in this repository:
+```
+pip install -r requirements.txt
+```
+Recommend using virtualenv to sandbox your work

requirements.txt

@@ -0,0 +1,3 @@
+numpy==1.18.1
+gql==2.0.0
+plotly==4.5.3

sample_query.py

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+from gql import gql, Client
+from gql.transport.requests import RequestsHTTPTransport
+
+sample_transport=RequestsHTTPTransport(
+    url='https://api.thegraph.com/subgraphs/name/uniswap/uniswap-v2',
+    verify=True,
+    retries=5,
+)
+client = Client(
+    transport=sample_transport
+)
+
+liquidity = []
+volume = []
+transactions = []
+x = 11276855
+
+while x > 11250000: 
+    query = gql('''
+    query {
+    uniswapFactory(id: "0x5C69bEe701ef814a2B6a3EDD4B1652CB9cc5aA6f", block: {number: ''' + str(x) + '''}) {
+        totalVolumeUSD
+        totalLiquidityUSD
+        txCount
+    }
+    }
+    ''')
+    response = client.execute(query)
+    liquidity_value = response['uniswapFactory']['totalLiquidityUSD']
+    volume_value = response['uniswapFactory']['totalVolumeUSD']
+    transactions_value = response['uniswapFactory']['txCount']
+    liquidity.insert(0, liquidity_value)
+    volume.append(volume_value)
+    transactions.append(transactions_value)
+    x=x-1000
+    print(x)
+print(liquidity)
+
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+import numpy as np
+
+# normalize or standardize data as
+'''
+liquidity = [float(i) for i in liquidity]
+volume = [float(i) for i in volume]
+transactions = [float(i) for i in transactions]
+liquidity = [float(i)/sum(liquidity) for i in liquidity]
+volume = [float(i)/sum(volume) for i in volume]
+transactions = [float(i)/sum(transactions) for i in transactions]
+#title = 'Uniswap Liquidity Over Time'
+labels = ['Liquidity', 'Volume', 'Transactions']
+'''
+x = np.arange(len(liquidity))
+
+# Create figure with secondary y-axis
+fig = make_subplots(specs=[[{"secondary_y": True}]])
+
+# Add traces
+fig.add_trace(
+    go.Scatter(x=x, y=liquidity, name="Liquidity"),
+    secondary_y=False,
+)
+
+fig.add_trace(
+    go.Scatter(x=x, y=volume, name="Volume"),
+    secondary_y=True,
+)
+
+'''
+fig.add_trace(
+    go.Scatter(x=x, y=transactions, name="Transactions"),
+    secondary_y=True,
+)
+'''
+
+# Add figure title
+fig.update_layout(
+    title_text="Uniswap Liquidity vs Volume"
+)
+
+# Set x-axis title
+fig.update_xaxes(title_text="Blocks")
+
+# Set y-axes titles
+fig.update_yaxes(title_text="Liquidity", secondary_y=False)
+fig.update_yaxes(title_text="Volume", secondary_y=True)
+
+fig.show()