diff --git a/binance-read-coins-to-depositHistory-write-to-excel.py b/binance-read-coins-to-depositHistory-write-to-excel.py
new file mode 100644
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+++ b/binance-read-coins-to-depositHistory-write-to-excel.py
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+import urllib.parse
+import hashlib
+import hmac
+import base64
+import requests
+import time
+import pandas as pd
+import io
+from dotenv import load_dotenv
+import os
+
+# Load environment variables
+load_dotenv()
+
+api_url = "https://api.binance.us" # don't use wrong link scalar values error
+
+# 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")
+
+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
+
+# Attach auth headers and return results from 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), headers=headers, params=params)
+    return req.text
+
+def binanceus_request(uri_path):
+    req = requests.get(api_url + uri_path)
+    return req.text
+
+# uri_path = "/api/v3/allOrders"
+uri_path = "/sapi/v1/capital/deposit/hisrec"
+
+out_path = "E:\\prodigy\\Scripts\\api-testing\\binance\\"  # windows needs double \\ escape the escape
+
+df_nest_symbols = pd.read_excel(out_path + "binance.xlsx", sheet_name="BinanceCoinListManual", usecols="B", header=0) # using header none is the way, 0 = first row header
+# df_nested_symbol_str = df_nest_symbols.to_string(index=False, header=False) # in compilation with headers none, this will read the single cell data to a variable
+
+# print(df_nest_symbols) # prints pandas.DataFrame read from excel sheet
+
+# time to loop that data in multiple calls. while also appending the data from the calls to a pandas.Dataframe
+appended_data = []
+for row in df_nest_symbols.itertuples():
+    data_symbol = {
+        "timestamp": int(time.time() * 1000),
+        # "startTime": '90', # within 1-90 days for some reason trash but be a unix timestamp or something a LONG?! default is 90 days anyways, but you could roll this every 15 days and only pull last 15 days worth of data, check again x or something list goes on
+        "coin": str.upper(row.Ticker2) # might work if you use coin instead of symbol..
+    }
+    print(data_symbol)
+    print("reading JSON data...")
+    result=binanceus_request_key(uri_path, data_symbol, api_key, secret_key)
+    print(result)
+    print("reading JSON data into DataFrame...")
+    df_nest = pd.read_json(io.StringIO(result))
+    print("DataFrame created succesfully")
+    
+    print("DataFrame Shape:", df_nest.shape) # show dataframe is expanding
+    
+    appended_data.append(df_nest)
+
+appended_data = pd.concat(appended_data)
+
+
+try:
+    with pd.ExcelWriter(out_path + 'binance.xlsx', mode="a", engine="openpyxl", if_sheet_exists="replace") as writer:
+        appended_data.to_excel(writer, sheet_name="BinanceDepositHistory", index=False)
+    print("DataFrame written to Excel")
+except Exception as e:
+    print(f"Error: {e}")
+
+# might work if you use coin instead of symbol in each call. if you use symbol, it will just pull data apparently.. idk, maybe it's actually not mandatory....
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