import requests from datetime import datetime import pandas as pd from IPython.core.display import HTML, display timestamp_start = int(date_invested.timestamp() * 1000) timestamp_end = int(datetime.now().timestamp() * 1000) def parse_int(value): try: return int(value) except: return None amount_invested_parsed = parse_int(amount_invested) if timestamp_end - timestamp_start <= 0: print("Sorry. We can't predict the future 😿. Please select a date in the past.") df = pd.DataFrame() elif amount_invested_parsed is None: print(f"The amount you have entered ({amount_invested}) does not look like a number. Please input an integer.") df = pd.DataFrame() else: url = f"https://api-pub.bitfinex.com/v2/candles/trade:1D:t{input_currency}USD/hist?limit=10000&sort=1&start={timestamp_start}&end={timestamp_end}" def parse_candle_item(item): [timestamp, topen, close, high, low, volume] = item timestamp_parsed = datetime.fromtimestamp(int(timestamp / 1000)) return { "datetime": timestamp_parsed, "open": topen, "close": close, } response = requests.get(url) parsed = response.json() df = pd.DataFrame(map(parse_candle_item, parsed)) initial_amount = amount_invested_parsed / df["open"].iloc[0] df["current_value"] = df["open"] * initial_amount date_from_string = date_invested.strftime("%B %-d %Y") initial = df["current_value"].iloc[0] initial_formatted = "${:,.2f}".format(initial) final = df["current_value"].iloc[-1] final_formatted = "${:,.2f}".format(final) difference = final - initial difference_formatted = "${:,.2f}".format(difference) diff_color = "red" if difference < 0 else "green" diff_emoji = "😿" if difference < 0 else "🎉" display( HTML( f"""

You would have {final_formatted} today if you bought {initial_formatted} worth of {input_currency} on {date_from_string}!
Your profit would be {difference_formatted} {diff_emoji}

""" ) )