{ "cells": [ { "cell_type": "code", "execution_count": 315, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "from statsmodels.tsa.seasonal import seasonal_decompose\n", "from statsmodels.tsa.arima_model import ARIMA\n", "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n", "\n", "import time" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Enthusiast Team: Datathon Case\n", "## Predicting Cryptocurrency prices\n", "\n", "## Reading the Currencies for the First Problem" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | Currency | \n", "ticker | \n", "CoinID | \n", "
---|---|---|---|
0 | \n", "Bitcoin | \n", "BTC | \n", "1442 | \n", "
1 | \n", "Bitcoin Cash | \n", "BCH | \n", "1445 | \n", "
2 | \n", "Bitcoin Gold | \n", "BTG | \n", "1456 | \n", "
3 | \n", "Cardano | \n", "ADA | \n", "1446 | \n", "
4 | \n", "Dash | \n", "DASH | \n", "1453 | \n", "
5 | \n", "Dogecoin | \n", "DOGE | \n", "1477 | \n", "
6 | \n", "Eos | \n", "EOS | \n", "1452 | \n", "
7 | \n", "Ethereum | \n", "ETH | \n", "1443 | \n", "
8 | \n", "Ethereum Classic | \n", "ETC | \n", "1457 | \n", "
9 | \n", "Iota | \n", "MIOTA | \n", "1451 | \n", "
10 | \n", "Lisk | \n", "LSK | \n", "1460 | \n", "
11 | \n", "Litecoin | \n", "LTC | \n", "1448 | \n", "
12 | \n", "Monero | \n", "XMR | \n", "1454 | \n", "
13 | \n", "NEMcoin | \n", "XEM | \n", "1447 | \n", "
14 | \n", "Neo | \n", "NEO | \n", "1449 | \n", "
15 | \n", "Ripple | \n", "XRP | \n", "1444 | \n", "
16 | \n", "Stellar | \n", "XLM | \n", "1450 | \n", "
17 | \n", "Tether | \n", "USDT | \n", "1474 | \n", "
18 | \n", "Tron | \n", "TRX | \n", "1455 | \n", "
19 | \n", "Zcash | \n", "ZEC | \n", "1465 | \n", "