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"}}},{"cell_type":"markdown","source":"## sections\n1. [ Introduction](#introduction)\n2. [ Data_Quality_Assessment](#Data_Quality_Assessment)\n3. [ EDA](#EDA)\n4. [Preprocessing](#Preprocessing)\n5.[Forecasting](#Forecasting)<br>\n\n> ## Another Notebooks :[Crypo-LSTM-(2022 Actual Price :91%acc)](https://www.kaggle.com/yassershrief/crypo-lstm-2022-actual-price-91-acc/edit) ,<br>[LGBM Regressor Forecasting and Evaluation](https://www.kaggle.com/yassershrief/lgbm-regressor-forecasting-and-evaluation/edit)\n","metadata":{}},{"cell_type":"markdown","source":"<a id=\"1\"></a> <br>\n#  Introduction","metadata":{}},{"cell_type":"markdown","source":"\n## Forecasting returns\n\nA fundamental task in financial modeling is predicting how prices will behave in the near future. Using the time-series of historical prices as training data, we want to predict if prices will go up or down, and by how much, namely the asset *returns*.\n\nIn this competition,the challenge is build machine learning models to predict the returns of `14 popular cryptocurrencies`, in the time scale of minutes to hours. You will have access to millions of rows of minute-by-minute cryptocurrency trading data, with which you'll design your forecasting models for all 14 assets simultaneously. Your predictions will be evaluated by how much they correlate with real market data collected during the three-month evaluation period after the competition has closed. \n\n","metadata":{"id":"fDAWC9JNZITK"}},{"cell_type":"markdown","source":"# Dataset description\n\nNow, let's dive into the data! We start by loading the competition's dataset and inspecting its basic properties. ","metadata":{"id":"4e6OA0qc6x9h"}},{"cell_type":"markdown","source":"## Data features\nWe can see the different features included in the dataset. Specifically, the features included per asset are the following:\n*   **timestamp**: All timestamps are returned as second Unix timestamps (the number of seconds elapsed since 1970-01-01 00:00:00.000 UTC). Timestamps in this dataset are multiple of 60, indicating minute-by-minute data.\n*   **Asset_ID**: The asset ID corresponding to one of the crytocurrencies (e.g. `Asset_ID = 1` for Bitcoin). The mapping from `Asset_ID` to crypto asset is contained in `asset_details.csv`.\n*   **Count**: Total number of trades in the time interval (last minute).\n*   **Open**:\tOpening price of the time interval (in USD).\n*   **High**:\tHighest price reached during time interval (in USD).\n*   **Low**: Lowest price reached during time interval (in USD).\n*   **Close**:\tClosing price of the time interval (in USD).\n*   **Volume**:\tQuantity of asset bought or sold, displayed in base currency USD.\n*   **VWAP**: The average price of the asset over the time interval, weighted by volume. VWAP is an aggregated form of trade data.\n*   **Target**: Residual log-returns for the asset over a 15 minute horizon. \n\nThe first two columns define the time and asset indexes for this data row. The 6 middle columns are feature columns with the trading data for this asset and minute in time. The last column is the prediction target, which we will get to later in more detail.\n\nWe also view the asset information, including the list of all assets, the `Asset_ID` to asset mapping, and the weight of each asset used to weigh their relative importance in the evaluation metric.","metadata":{"id":"YjN-TfBUx2ml"}},{"cell_type":"markdown","source":"## Load the training set","metadata":{"id":"OevdFjmtar0j"}},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib.dates as mdates  \nimport seaborn as sns\nfrom datetime import datetime\nfrom datetime import timedelta\nimport plotly.graph_objects as go\nfrom fbprophet.plot import plot_plotly, plot_components_plotly\nfrom plotly.offline import iplot\nimport plotly.express as px\nimport time\nimport warnings\nwarnings.filterwarnings('ignore')","metadata":{"id":"90fqnpNQ2wd8","execution":{"iopub.status.busy":"2022-01-27T08:46:04.405989Z","iopub.execute_input":"2022-01-27T08:46:04.406672Z","iopub.status.idle":"2022-01-27T08:46:06.975917Z","shell.execute_reply.started":"2022-01-27T08:46:04.406562Z","shell.execute_reply":"2022-01-27T08:46:06.975237Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Datatable** (heavily inspired by R's data.table) can read large datasets fairly quickly and is often faster than pandas. It is specifically meant for data processing of tabular datasets with emphasis on speed and support for large sized data. 👌","metadata":{}},{"cell_type":"code","source":"import datatable as dt","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:46:06.977351Z","iopub.execute_input":"2022-01-27T08:46:06.977639Z","iopub.status.idle":"2022-01-27T08:46:07.051343Z","shell.execute_reply.started":"2022-01-27T08:46:06.977606Z","shell.execute_reply":"2022-01-27T08:46:07.050464Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"crypto_df = dt.fread('../input/g-research-crypto-forecasting/train.csv').to_pandas()\ncrypto_df.head(10)","metadata":{"id":"La0-ivRAUopA","scrolled":true,"execution":{"iopub.status.busy":"2022-01-27T08:46:07.052581Z","iopub.execute_input":"2022-01-27T08:46:07.052821Z","iopub.status.idle":"2022-01-27T08:46:37.362417Z","shell.execute_reply.started":"2022-01-27T08:46:07.052791Z","shell.execute_reply":"2022-01-27T08:46:37.361785Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Our data is quite large...**","metadata":{}},{"cell_type":"code","source":"# def reduce_mem_usage(df, verbose=True):\n#     numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64']\n#     start_mem = df.memory_usage().sum() / 1024**2\n#     for col in df.columns:\n#         col_type = df[col].dtypes\n#         if col_type in numerics:\n#             c_min = df[col].min()\n#             c_max = df[col].max()\n#             if str(col_type)[:3] == 'int':\n#                 if c_min > np.iinfo(np.int8).min and c_max < np.iinfo(np.int8).max:\n#                     df[col] = df[col].astype(np.int8)\n#                 elif c_min > np.iinfo(np.int16).min and c_max < np.iinfo(np.int16).max:\n#                     df[col] = df[col].astype(np.int16)\n#                 elif c_min > np.iinfo(np.int32).min and c_max < np.iinfo(np.int32).max:\n#                     df[col] = df[col].astype(np.int32)\n#                 elif c_min > np.iinfo(np.int64).min and c_max < np.iinfo(np.int64).max:\n#                     df[col] = df[col].astype(np.int64)\n#             else:\n#                 if c_min > np.finfo(np.float16).min and c_max < np.finfo(np.float16).max:\n#                     df[col] = df[col].astype(np.float16)\n#                 elif c_min > np.finfo(np.float32).min and c_max < np.finfo(np.float32).max:\n#                     df[col] = df[col].astype(np.float32)\n#                 else:\n#                     df[col] = df[col].astype(np.float64)\n\n#     end_mem = df.memory_usage().sum() / 1024**2\n#     print('Memory usage after optimization is: {:.2f} MB'.format(end_mem))\n#     print('Decreased by {:.1f}%'.format(100 * (start_mem - end_mem) / start_mem))\n\n#     return df","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"crypto_df.info()","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:46:48.309407Z","iopub.execute_input":"2022-01-27T08:46:48.310151Z","iopub.status.idle":"2022-01-27T08:46:48.334047Z","shell.execute_reply.started":"2022-01-27T08:46:48.310090Z","shell.execute_reply":"2022-01-27T08:46:48.332880Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# crypto_df = reduce_mem_usage(crypto_df)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"We also view the asset information, including the list of all assets, the Asset_ID to asset mapping, and the weight of each asset used to weigh their relative importance in the evaluation metric","metadata":{}},{"cell_type":"code","source":"asset_details = pd.read_csv('../input/g-research-crypto-forecasting/asset_details.csv')\nasset_details.sort_values(\"Weight\", ascending=False)","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:46:51.215313Z","iopub.execute_input":"2022-01-27T08:46:51.216204Z","iopub.status.idle":"2022-01-27T08:46:51.238261Z","shell.execute_reply.started":"2022-01-27T08:46:51.216151Z","shell.execute_reply":"2022-01-27T08:46:51.237491Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Data_Quality_Assessment","metadata":{}},{"cell_type":"markdown","source":"## Check Missing Values","metadata":{}},{"cell_type":"code","source":"for n in range(14):\n    print(\"Asset_ID =\",n)\n    crypto_n = crypto_df[crypto_df[\"Asset_ID\"]==n]\n    print(crypto_n.isna().sum())\n    print('')","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:25:54.981128Z","iopub.execute_input":"2022-01-27T08:25:54.981914Z","iopub.status.idle":"2022-01-27T08:25:58.882279Z","shell.execute_reply.started":"2022-01-27T08:25:54.981883Z","shell.execute_reply":"2022-01-27T08:25:58.881382Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"- The missing data in the Target column only\n- Bitcoin has the least number of missing target values and Monero the most.\n","metadata":{}},{"cell_type":"markdown","source":"## Check Duplicated Values","metadata":{}},{"cell_type":"code","source":"print(crypto_df.duplicated().sum())","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"There is no duplicated appointments record in this data set.","metadata":{}},{"cell_type":"markdown","source":"# EDA","metadata":{}},{"cell_type":"markdown","source":"I will do the following for faster and easier EDA, This will greatly help us reduce the time and memory used:\n- Using the **merge()** function, for each of the rows in the `crypto_df` table, the corresponding coordinates are added from the `asset_details` table.\n-  resample the minute Unix timestamps to daily timestamps. This reduces the amount of samples from 24,236,806 to 18102.<br>\n  **Step1** create new time column with (mm.dd.yyyy) and (H:MM:SS) format using `pd.to_datetime`<br>\n  **Step2** convert the previous column to column with (mm.dd.yyyy) format using `dt.strftime`<br>\n  **Step3** because the different currencies are randomly located in our dataset then we use `groupby()` function to split the data into groups based on `Asset_Name`, `datetime_d`<br>\n  **Step4** For a dataframe with a MultiIndex, `reset_index()` function is used to generate a new DataFrame with the index reset<br>\n  **Step5** drop `timestamp` column<br>\n  ","metadata":{}},{"cell_type":"code","source":"crypto_merge = pd.merge(crypto_df, asset_details, how=\"left\", on=\"Asset_ID\")\ncrypto_merge['datetime'] = pd.to_datetime(crypto_merge['timestamp'], unit='s') #Step1\ncrypto_merge['datetime_d'] = crypto_merge['datetime'].dt.strftime(\"%Y-%m-%d\")  #Step2\ndf_g = crypto_merge.groupby(by = [\"Asset_Name\", 'datetime_d']).mean()          #Step3\ncrypto_mergee=df_g.reset_index()                                               #Step4\ncrypto_mergee.drop(['timestamp'],axis='columns', inplace=True)                 #Step5\ncrypto_mergee.head()","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:47:02.203129Z","iopub.execute_input":"2022-01-27T08:47:02.203689Z","iopub.status.idle":"2022-01-27T08:50:16.134200Z","shell.execute_reply.started":"2022-01-27T08:47:02.203657Z","shell.execute_reply":"2022-01-27T08:50:16.133383Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**We can create a function to plot data :** ","metadata":{}},{"cell_type":"code","source":"def lineplot(df,varible):\n\n    fig, ax = plt.subplots(figsize=(20,10))\n\n    sns.lineplot(x='datetime_d', y=varible, hue='Asset_Name', \n                       data=df,legend='brief').set_title(\"Cryptocurrency \"+ varible)\n    plt.ylabel(varible+ ' Price')\n    plt.xticks(rotation = 25)\n    ax.xaxis.set_major_locator(mdates.AutoDateLocator())\n    plt.legend(title_fontsize='20')","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:29:38.979118Z","iopub.execute_input":"2022-01-27T08:29:38.979448Z","iopub.status.idle":"2022-01-27T08:29:38.985755Z","shell.execute_reply.started":"2022-01-27T08:29:38.979418Z","shell.execute_reply":"2022-01-27T08:29:38.985214Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Question:** <span style=\"color:#FE1C0A;\"> What is the different price scales between the different cryptocurrencies over time? </span><br>\n","metadata":{}},{"cell_type":"code","source":"lineplot(crypto_mergee,'Open')","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:29:41.143423Z","iopub.execute_input":"2022-01-27T08:29:41.144174Z","iopub.status.idle":"2022-01-27T08:29:44.997623Z","shell.execute_reply.started":"2022-01-27T08:29:41.144142Z","shell.execute_reply":"2022-01-27T08:29:44.997072Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"lineplot(crypto_mergee,'Close')","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:29:47.051793Z","iopub.execute_input":"2022-01-27T08:29:47.052135Z","iopub.status.idle":"2022-01-27T08:29:50.689937Z","shell.execute_reply.started":"2022-01-27T08:29:47.052085Z","shell.execute_reply":"2022-01-27T08:29:50.689015Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### Insights\n- As we can see from open and close plots, nothing really happened before 2021 (Only Bitcoin had some transactions), 2021 was seemingly a breakthrough year for the cryptocurrency ecosystem.<br>\n- As the price of BitCoin increased, the price of the other cryptocurrencies also increased.","metadata":{}},{"cell_type":"markdown","source":"**Question:** <span style=\"color:#FE1C0A;\"> How far is the average price of Bitcoin from other cryptocurrencies, in descending order? </span><br>","metadata":{}},{"cell_type":"code","source":"fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(12, 6))\n\ncrypto_mean=crypto_mergee[[\"Asset_Name\",\"Close\"]].groupby(\"Asset_Name\")[\"Close\"].agg([\"mean\"])\ncrypto_mean=crypto_mean.sort_values(by='mean',ascending=False)\nmy_cmap = plt.get_cmap(\"viridis\")\ncrypto_mean.plot(kind=\"bar\", ax=ax, color=my_cmap.colors, title=\"Mean Open Price\")","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:29:51.154391Z","iopub.execute_input":"2022-01-27T08:29:51.154731Z","iopub.status.idle":"2022-01-27T08:29:51.507173Z","shell.execute_reply.started":"2022-01-27T08:29:51.154692Z","shell.execute_reply":"2022-01-27T08:29:51.506319Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Question:** <span style=\"color:#FE1C0A;\"> What is the correlation between other currencies apart from Bitcoin? </span><br>\n","metadata":{}},{"cell_type":"code","source":"df_exclud=crypto_mergee[~crypto_mergee['Asset_Name'].isin(['Bitcoin'])]\nlineplot(df_exclud,'Open')\n","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:29:54.658058Z","iopub.execute_input":"2022-01-27T08:29:54.658648Z","iopub.status.idle":"2022-01-27T08:29:58.434937Z","shell.execute_reply.started":"2022-01-27T08:29:54.658610Z","shell.execute_reply":"2022-01-27T08:29:58.434137Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**It seems that there is a strong correlation between the currencies each other**","metadata":{}},{"cell_type":"markdown","source":"**Question:** <span style=\"color:#FE1C0A;\"> What is the quantity of assets bought or sold overtime? </span><br>\n","metadata":{}},{"cell_type":"code","source":"lineplot(crypto_mergee,'Volume')","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:30:03.704376Z","iopub.execute_input":"2022-01-27T08:30:03.705084Z","iopub.status.idle":"2022-01-27T08:30:07.362311Z","shell.execute_reply.started":"2022-01-27T08:30:03.705049Z","shell.execute_reply":"2022-01-27T08:30:07.361490Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### Insights\n- nothing really happened before July 2020, 2021 was seemingly a popularity year for the **Dogecoin** .<br>\n","metadata":{}},{"cell_type":"markdown","source":"**Question:**  <span style=\"color:#FE1C0A;\">What is the total Timestamps[entries] in this dataset for each asset? Are they equal? </span><br>","metadata":{}},{"cell_type":"code","source":"labels= crypto_merge['Asset_Name'].value_counts().index\n\nf, ax = plt.subplots(figsize=(15, 6))\nsns.countplot(x='Asset_Name', data=crypto_merge,\n              order = labels,\n              palette=\"Set2\"\n           )\nplt.xticks(rotation= 45,fontsize=12 )\nax.set_ylabel('Asset count', fontsize=15, color='r')\nax.set_xlabel('Asset', fontsize=14, color='r')","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:30:14.145855Z","iopub.execute_input":"2022-01-27T08:30:14.146683Z","iopub.status.idle":"2022-01-27T08:30:37.900827Z","shell.execute_reply.started":"2022-01-27T08:30:14.146644Z","shell.execute_reply":"2022-01-27T08:30:37.900235Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Question:** \n<span style=\"color:#FE1C0A;\">What's the percentage of weights given to each asset ?</span><br>\nusing **plotly library** with one single line","metadata":{}},{"cell_type":"code","source":"labels = asset_details['Asset_Name']\nvalues = asset_details['Weight']\n\nfig = go.Figure(data=[go.Pie(labels=labels, values=values, textinfo='label+percent',\n                             insidetextorientation='radial',title='Weights for each cryptocurrency'\n                            )])\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:30:56.951821Z","iopub.execute_input":"2022-01-27T08:30:56.952588Z","iopub.status.idle":"2022-01-27T08:30:57.044124Z","shell.execute_reply.started":"2022-01-27T08:30:56.952549Z","shell.execute_reply":"2022-01-27T08:30:57.043160Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Question:** \n<span style=\"color:#FE1C0A;\">What are the changes in currency prices separately in different time periods (a month, 6 months or a year)</span><br>","metadata":{}},{"cell_type":"markdown","source":" let’s do a quick visualization of our price column using the **plotly library**, which provides interactivity.","metadata":{}},{"cell_type":"markdown","source":"We see that from our plot there are two major spikes that might be influential on our model.<br>\nWe can also tell that the fluctuation in our price exaggerates as year increases.","metadata":{}},{"cell_type":"code","source":"grouped = crypto_mergee.groupby('Asset_Name')\nfor name,group in grouped:\n\n            \n    # plot the open price\n    \n    x = group['datetime_d']\n    y = group[\"Open\"]\n    \n    fig = go.Figure()\n    \n    fig.add_trace(go.Scatter(x=x, y=y))\n    \n    # Set title\n    fig.update_layout(\n        title_text=\"Time series plot of \" +name+ \" Open Price\",\n    )\n    \n    fig.update_layout(\n        xaxis=dict(\n            rangeselector=dict(\n                buttons=list(\n                    [\n                        dict(count=1, label=\"1m\", step=\"month\", stepmode=\"backward\"),\n                        dict(count=6, label=\"6m\", step=\"month\", stepmode=\"backward\"),\n                        dict(count=1, label=\"YTD\", step=\"year\", stepmode=\"todate\"),\n                        dict(count=1, label=\"1y\", step=\"year\", stepmode=\"backward\"),\n                        dict(step=\"all\"),\n                    ]\n                )\n            ),\n            rangeslider=dict(visible=True),\n            type=\"date\",\n        )\n    )\n    \n    iplot(fig)\n    ","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:31:10.056849Z","iopub.execute_input":"2022-01-27T08:31:10.057146Z","iopub.status.idle":"2022-01-27T08:31:11.444723Z","shell.execute_reply.started":"2022-01-27T08:31:10.057108Z","shell.execute_reply":"2022-01-27T08:31:11.443941Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Question:** \n<span style=\"color:#FE1C0A;\">What is the difference between the highest and lowest trading price for a particular currency?</span><br>","metadata":{}},{"cell_type":"markdown","source":"## Candlestick charts\n\nThe trading data format is an aggregated form of market data including for`Open, High, Low and Close`. We can visualize this data through the commonly used candlestick bar chart, which allows traders to perform technical analysis on intraday values. The bar's body length represents the price range between the `open` and `close` of that day's trading. When the bar is **red**, it means the `close` was lower than the `open`, and **green** otherwise. These are also referred to as bullish and bearish candlesticks. The wicks above and below the bars show the `high` and `low` prices of that interval's trading.","metadata":{"id":"QNWAfs_O0hyf"}},{"cell_type":"markdown","source":"We can visualize a slice of the Bitcoin prices using the `plotly` library. The bottom part of the plot shows a rangeslider, which you can use to zoom in the plot.","metadata":{"id":"570DeXQa0skY"}},{"cell_type":"code","source":"btc = crypto_df[crypto_df[\"Asset_ID\"]==1].set_index(\"timestamp\") # Asset_ID = 1 for Bitcoin\nbtc_mini = btc.iloc[-200:] # Select recent data rows","metadata":{"id":"tMxYx8ZO3fuy","execution":{"iopub.status.busy":"2022-01-27T08:31:21.757901Z","iopub.execute_input":"2022-01-27T08:31:21.758216Z","iopub.status.idle":"2022-01-27T08:31:22.141517Z","shell.execute_reply.started":"2022-01-27T08:31:21.758186Z","shell.execute_reply":"2022-01-27T08:31:22.140762Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import plotly.graph_objects as go\n\nfig = go.Figure(data=[go.Candlestick(x=btc_mini.index, open=btc_mini['Open'], high=btc_mini['High'], low=btc_mini['Low'], close=btc_mini['Close'])])\nfig.show()","metadata":{"id":"HCiq4HwD4ySs","outputId":"1d422d61-2382-41f0-ba2d-ca42946ae928","execution":{"iopub.status.busy":"2022-01-27T08:31:23.939725Z","iopub.execute_input":"2022-01-27T08:31:23.940035Z","iopub.status.idle":"2022-01-27T08:31:23.961409Z","shell.execute_reply.started":"2022-01-27T08:31:23.940002Z","shell.execute_reply":"2022-01-27T08:31:23.960627Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Preprocessing\n","metadata":{"execution":{"iopub.status.busy":"2022-01-20T15:10:50.670393Z","iopub.execute_input":"2022-01-20T15:10:50.671595Z","iopub.status.idle":"2022-01-20T15:10:50.695159Z","shell.execute_reply.started":"2022-01-20T15:10:50.671468Z","shell.execute_reply":"2022-01-20T15:10:50.694493Z"}}},{"cell_type":"markdown","source":"## 1-Dealing with missing data","metadata":{}},{"cell_type":"markdown","source":"Notice that there are many gaps in the data. To work with most time series models, we should preprocess our data into a format without time gaps. To fill the gaps, we can use the `.reindex()` method for **forward filling**, filling gaps with the previous valid value.<br>\n\nWe know that the data is collected once every 60 seconds. If we have a gap of more than one minute between consecutive rows, then it indicates that the data is missing in between. Let us check that for each of the coins.\nThanks for [clarifying](https://www.kaggle.com/sudalairajkumar/simple-exploration-notebook-crypto-forecasting).","metadata":{}},{"cell_type":"code","source":"def check_gaps(df):\n    gap_list = []\n    for asset in df['Asset_Name'].unique():\n        coin_df = df[df['Asset_Name']==asset].set_index('timestamp')\n        df_asset = (coin_df.index[1:]-coin_df.index[:-1]).value_counts().reset_index()\n        n_gaps = df_asset[df_asset[\"index\"]!=60][\"timestamp\"].sum()\n        max_gap = df_asset[\"index\"].max()\n        gap_list.append([asset, n_gaps, max_gap])\n    gap_df = pd.DataFrame(gap_list)\n    gap_df.columns = [\"Asset_Name\", \"number_of_gaps\", \"max_gap_in_seconds\"]\n    return gap_df","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:31:30.918591Z","iopub.execute_input":"2022-01-27T08:31:30.919240Z","iopub.status.idle":"2022-01-27T08:31:30.929998Z","shell.execute_reply.started":"2022-01-27T08:31:30.919184Z","shell.execute_reply":"2022-01-27T08:31:30.928905Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"check_gaps(crypto_merge)","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:31:33.077775Z","iopub.execute_input":"2022-01-27T08:31:33.078067Z","iopub.status.idle":"2022-01-27T08:32:32.001831Z","shell.execute_reply.started":"2022-01-27T08:31:33.078036Z","shell.execute_reply":"2022-01-27T08:32:32.000970Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"We simply cannot implement it on the dataframe because the currencies are randomly located.<br>\nSo we will fill in the missing data for each currency separately and then collect them again in one dataframe","metadata":{}},{"cell_type":"code","source":"df_train = pd.DataFrame([])\nfor asset in crypto_merge['Asset_Name'].unique():\n    df_asset = crypto_merge[crypto_merge['Asset_Name']==asset].set_index('timestamp')\n    df_asset = df_asset.reindex(range(df_asset.index[0], df_asset.index[-1]+60, 60), method='ffill')\n    df_train = pd.concat([df_train, df_asset])\ndf_train.reset_index(level=0, inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:50:40.762325Z","iopub.execute_input":"2022-01-27T08:50:40.762628Z","iopub.status.idle":"2022-01-27T08:52:10.782549Z","shell.execute_reply.started":"2022-01-27T08:50:40.762597Z","shell.execute_reply":"2022-01-27T08:52:10.781569Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.head()","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:43:29.421036Z","iopub.execute_input":"2022-01-27T08:43:29.421880Z","iopub.status.idle":"2022-01-27T08:43:29.443349Z","shell.execute_reply.started":"2022-01-27T08:43:29.421844Z","shell.execute_reply":"2022-01-27T08:43:29.442700Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### Check... ","metadata":{}},{"cell_type":"code","source":"check_gaps(df_train)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 2-Feature Engineering ","metadata":{}},{"cell_type":"markdown","source":"#### A-Difference between opening and closing price & daily average price","metadata":{}},{"cell_type":"code","source":"df_train['OC_diff']=df_train['Close']-df_train['Open']","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:52:43.515280Z","iopub.execute_input":"2022-01-27T08:52:43.515612Z","iopub.status.idle":"2022-01-27T08:52:43.650445Z","shell.execute_reply.started":"2022-01-27T08:52:43.515576Z","shell.execute_reply":"2022-01-27T08:52:43.649354Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(15,8))\ndf_train1 = df_train.set_index('datetime')\nBitcoin = df_train1[df_train1[\"Asset_Name\"]=='Bitcoin']\nethe = df_train1[df_train1[\"Asset_Name\"]=='Ethereum']\nbtc_cash = df_train1[df_train1[\"Asset_Name\"]=='Bitcoin Cash']\nmone = df_train1[df_train1[\"Asset_Name\"]=='Monero']\n\n(Bitcoin['OC_diff']).plot(color='darkorange', label='Bitcoin')\n(mone['OC_diff']).plot(color='yellow', label='Monero')\n(ethe['OC_diff']).plot(color='cyan', label='Ethereum')\n(btc_cash['OC_diff']).plot(color='green', label='Bitcoin Cash')\n\nplt.xlabel('time')\nplt.ylabel('price in USD')\nplt.title('Historical difference between opening price and closing price of top 4 Crypto since 2018')\nplt.legend()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:53:18.132498Z","iopub.execute_input":"2022-01-27T08:53:18.133208Z","iopub.status.idle":"2022-01-27T08:54:34.033395Z","shell.execute_reply.started":"2022-01-27T08:53:18.133170Z","shell.execute_reply":"2022-01-27T08:54:34.032428Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"By plotting the difference between daily opening and closing price, we found that:\n\n- Daily opening price and closing price of BitCoin and BitCoin Cash varies the most, the differences can range from 1000 to more than 3000 dollars.\n- The rest of the cryptocurrencies that we selected tends to be fairly stable","metadata":{}},{"cell_type":"code","source":"# calculate daily average price\ndf_train['daily_avg'] = (df_train['Open'] + df_train['High'] + df_train['Low'] + df_train['Close']) / 4","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### B-Time Features","metadata":{}},{"cell_type":"code","source":"# df_train['year'] = df_train.index.year\ndf_train['quarter'] = df_train.index.quarter\ndf_train['month'] = df_train.index.month\ndf_train['weekofyear'] = df_train.index.weekofyear\ndf_train['dayofyear'] = df_train.index.dayofyear\ndf_train['weekday'] = df_train.index.weekday","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### C-Lag Features","metadata":{}},{"cell_type":"code","source":"# define function to compute log returns\ndef log_return(series, periods=1):\n    # Copied from https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition\n    return np.log(series).diff(periods=periods)\n\n\nfor i, asset_id in enumerate(asset_details.Asset_ID):\n    df_train[('lret',  asset_id)] = log_return(df_train.Close)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### D-Upper and lower shadow : From [competition tutorial](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)","metadata":{}},{"cell_type":"code","source":"def upper_shadow(df):\n    return df['High'] - np.maximum(df['Close'], df['Open'])\n\ndef lower_shadow(df):\n    return np.minimum(df['Close'], df['Open']) - df['Low']\n","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# A utility function to build features from the original df\n# It works for rows to, so we can reutilize it.\n\ndf_train['Upper_Shadow'] = upper_shadow(df_train)\ndf_train['Lower_Shadow'] = lower_shadow(df_train)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train[\"high_div_low\"] = df_train[\"High\"] / df_train[\"Low\"]\ndf_train[\"open_sub_close\"] = df_train[\"Open\"] - df_train[\"Close\"]","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### E-Technical Indicators Features :\n- It is a Technical Analysis library useful to do feature engineering from financial time series datasets (Open, Close, High, Low, Volume)\n- **Ta** is very helpful library, but kernel doesn't support. You can learn more about the library [here](https://github.com/bukosabino/ta)\n- There is more than 42 indicators i will try to implement it manually later","metadata":{}},{"cell_type":"markdown","source":"## Correlation between assets\nCheck Pearson correlation coefficient to prove if BitCoin price influences price of other cryptocurrencies","metadata":{"id":"DnAM1L8dj5ir"}},{"cell_type":"code","source":"totimestamp = lambda s: np.int32(time.mktime(datetime.strptime(s, \"%d/%m/%Y\").timetuple()))   \nassets_df = pd.DataFrame([])\nfor asset in crypto_merge['Asset_Name'].unique():\n    df_asset = crypto_merge[crypto_merge['Asset_Name']==asset].set_index('timestamp')\n    df_asset.loc[totimestamp('01/07/2021'):totimestamp('21/09/2021')]# check corr last 3 months in dataset\n    close_values = df_asset[\"Close\"].fillna(0)\n    close_values.name = asset\n    assets_df = assets_df.join(close_values, how=\"outer\")","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:55:18.405162Z","iopub.execute_input":"2022-01-27T08:55:18.405504Z","iopub.status.idle":"2022-01-27T08:56:23.409522Z","shell.execute_reply.started":"2022-01-27T08:55:18.405467Z","shell.execute_reply":"2022-01-27T08:56:23.408492Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(12,6))\nsns.heatmap(assets_df.corr(),vmin=0, vmax=1, cmap='coolwarm', annot=True)\nplt.title('Correlation Heatmap between Cryptos')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-27T08:56:26.778617Z","iopub.execute_input":"2022-01-27T08:56:26.779502Z","iopub.status.idle":"2022-01-27T08:56:29.211748Z","shell.execute_reply.started":"2022-01-27T08:56:26.779460Z","shell.execute_reply":"2022-01-27T08:56:29.210809Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Based on the heatmap as well as some of the previous plots, we can say that Bitcoin and Ethereum prices does have strong impact to other cryptocurrencies.\n\n- As the transaction volume of BitCoin and Ethereum increased, the volume of the other cryptocurrencies also increased.\n- Prices of other cryptocurrency have strong positive correaltion with price of BitCoin","metadata":{}},{"cell_type":"markdown","source":"Finally i will drop the data after `2021-06-13` for traning processing... to understand why kindly refer to the [topic](https://www.kaggle.com/c/g-research-crypto-forecasting/discussion/285505)","metadata":{}},{"cell_type":"code","source":"df_train = df_train[df_train.index < '2021-06-13 00:00:00']\n#df_train.tail()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### Save dataframe into jay file <br>\nMay I recommend the [notebook](https://www.kaggle.com/rohanrao/tutorial-on-reading-large-datasets#Format:-jay) and this [topic](https://www.kaggle.com/c/g-research-crypto-forecasting/discussion/285291) to reading and saving large datasets","metadata":{}},{"cell_type":"code","source":"!python3 -m pip install datatable --upgrade\nimport datatable as dt\ndt.Frame(df_train).to_jay(\"df_train.jay\")","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Forecasting\n### Building the prediction model:","metadata":{"id":"EaIGlwUB9kPy"}},{"cell_type":"markdown","source":"### To be Continue.....<br>\n### [Machine Learning Models](https://www.kaggle.com/yassershrief/lgbm-regressor/edit)","metadata":{}}]}