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Article Title: Maapping Open and Closed Trade in Binance for Trading Activation Analysis

Introduction:

In this article, we will demonstrate how to map the original original and the corresponding closed order in the Future in the Futures brand Binan. This is a crucia step in analyzing trading activation and identifying potential pauterns or anomalies.

Prerequisites:

• You has a basic understanding of the Binance API and its features.

• You has a Bloomberg terminal or a similar platform set up to connect to Binance.

Step 1: Get your API credentials*

To use the Binance API, you need to obsin an API key and a secret. Follow thees steps:

• Go to the [Binance website]( and crate an account.

• Click on “API” in the top navigation bar.

• Click on “Get Started”.

• Fill out the registration for your your email press, password, and outer information.

• Create a new API Key and Secret Key.

Step 2: Set up your Bloomberg terminal

• Download the Bloomberg terminal from [

• Install the Binance API for Bloomberg use pip:

pip install binance-api-brokerage

• Connect to your Bloomberg account Using the following settings:

• API Key: Your Binance API key

• Secret Key: Your Binance Secret Key

• Host URL: [

• Set up the Data feed for your account:

+ Options: Chose “API” as the Data feed type.

+ Endpoint: Selection thepoint you want to 1,

Step 3: Create a Bloomberg terminal script

Create a new script use the following code:

import binance











Set up API credentials

api_key = "YOUR_API_KEY"

api_secret = "YOUR_SECRET_KEY"



Set up Bloomberg terminal connction

binance_connect = binance.BinanceConnect(

    api_key=api_key,

    secret=api_secret,

    host="

)



Create a Bloomberg terminal data feed object

data_feed = binance_connect.dataFeeds.MarketDataFeed(

    symbol="BTCUSDT", 
Futures markt data

    interval="1m" 
Data feed interval (1 minute)

)



Define the function

def map_open_to_close(data):

    mapping = {}

    for order in data:

        if order.status == "open":

            mapped_order = {

                "symbol": order.symbol,

                "timestamp": order.timestamp,

                "quantity": order.quaantity,

                "price": order.price

            }

        elif order.status == "closed":

            mapped_order = {

                "symbol": order.symbol,

                "timestamp": order.timestamp,

                "quantity": order.quaantity,

                "price": order.price

            }

    return mapping



Get the Data feed for 5 minutes ago

data_feed_object = data_feed.get_data(

    symbol="BTCUSDT",

    interval="1m",

    startTime="2022-01-01T00:00.000Z",

    endTime="2022-01-01T01:00:00.000Z"

)



Map the open and closed orders

mapping = map_open_to_close(data_feed_object)



Print the mapping

for order in mapping:

    print(f"{order['symbol']}: {order['timestamp']}, Quantity: {order[''queantity']}, Price: {order[''prece']")

Step 4: Run the script and analyze the Data

• Save the script to a file (e.g., `map_open_to_close’).

• Run the script using Python:

python map_open_to_clased.py

This will mapping the and closed orders for the specified time period.