diff --git a/binance-wallet-write-to-excel.py b/binance-wallet-write-to-excel.py
new file mode 100644
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--- /dev/null
+++ b/binance-wallet-write-to-excel.py
@@ -0,0 +1,87 @@
+import urllib.parse
+import hashlib
+import hmac
+import base64
+import requests
+import time
+import xlwings,pandas # for excel sheets. pandas reads it, xlwings writes it; not sure if xlwings is needed anymore but pandas requires a few modules to be installed -pip install pandas[excel]
+import io
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+# binance.us api url
+
+api_url = "https://api.binance.us"
+
+# get binanceus signature
+def get_binanceus_signature(data, secret):
+    postdata = urllib.parse.urlencode(data)
+    message = postdata.encode()
+    byte_key = bytes(secret, 'UTF-8')
+    mac = hmac.new(byte_key, message, hashlib.sha256).hexdigest()
+    return mac
+
+# Attaches auth headers and returns results of a POST request
+def binanceus_request_key(uri_path, data, api_key, api_sec):
+    headers = {}
+    headers['X-MBX-APIKEY'] = api_key
+    signature = get_binanceus_signature(data, api_sec) 
+    params={
+        **data,
+        "signature": signature,
+        }
+    req = requests.get((api_url + uri_path), params=params, headers=headers)
+    return req.text
+
+def binanceus_request(uri_path):
+    req = requests.get((api_url + uri_path))
+    return req.text
+
+# create a file named '.env' with the below keys like so: BINANCE_API_KEY="mysuperlongbinancekey"
+api_key = os.environ.get("BINANCE_API_KEY")
+secret_key = os.environ.get("BINANCE_SECRET_KEY")
+
+# uri_path = "/api/v3/ticker/price" # URI NO KEY initial api link doesn't require auth, 2 columns simple data
+# uri_path = "/api/v3/openOrders"  # get all open orders
+uri_path = "/sapi/v1/capital/config/getall" # asset fees and wallet status get all
+
+data_time_stamp = {
+    "timestamp": int(round(time.time() * 1000))
+}
+
+# here we pull the data
+
+# result = binanceus_request(uri_path)      # URI NO KEY
+result = binanceus_request_key(uri_path, data_time_stamp, api_key, secret_key)
+
+print("Reading JSON data into DataFrame...")
+df_nested = pandas.read_json(io.StringIO(result)) # this works, don't use wrong uri_path
+# df_nested = pandas.DataFrame.from_dict(result, orient='columns') # dictionary example doesn't work with json data
+print("DataFrame created successfully.")
+
+# print (df_nested) # to prove it works (176 rows x 14 columns)
+
+# Check the shape of the DataFrame
+print("DataFrame shape:", df_nested.shape) # will show if it's a dataframe or not i reckon
+
+# print(df_nested.dtypes)
+# print(df_nested)
+
+out_path = "S:\\Documents\\prodigy\\Coding-Programming\\Repos\\python-scripts\\Scripts\\api-testing\\" # windows needs double \\ escape the escape
+
+try:
+    # wb = xlwings.Book('binance.xlsx').sheets('BinanceWallet') # Method 1; file name and sheet page
+    # wb.range('a1').options(pandas.DataFrame, index=False).value = pandas.DataFrame(df_nested) # works using URI NO KEY dataset, have to have file open
+    
+    # df_nested.to_excel(out_path + 'binance.xlsx', sheet_name='BinanceWallet', index=False) # Method 2; creates new file with sheet name, will delete current document and replace be careful
+    
+    with pandas.ExcelWriter(out_path + 'binance.xlsx', mode="a", engine="openpyxl", if_sheet_exists="replace") as writer: # Method 3(best); mode="a" means append
+        df_nested.to_excel(writer, sheet_name="BinanceWallet") # has more options that actually work, still need to pip install openpyxl though
+
+    print(out_path + 'binance.xlsx')
+    print("Excel Sheet written successfully")
+    
+except Exception as e:
+    print(f"Error: {e}")