{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "3f7938c0-98e3-43b8-86e8-4f000cda7ce5", "metadata": {}, "outputs": [], "source": [ "import datetime\n", "import pandas as pd\n", "\n", "from fincal.fincal import TimeSeries\n", "from fincal.core import Series" ] }, { "cell_type": "code", "execution_count": 2, "id": "4b8ccd5f-dfff-4202-82c4-f66a30c122b6", "metadata": {}, "outputs": [], "source": [ "dfd = pd.read_csv('test_files/nav_history_daily - copy.csv')\n", "dfd = dfd[dfd['amfi_code'] == 118825].reset_index(drop=True)" ] }, { "cell_type": "code", "execution_count": 3, "id": "c52b0c2c-dd01-48dd-9ffa-3147ec9571ef", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Warning: The input data contains duplicate dates which have been ignored.\n" ] }, { "data": { "text/plain": [ "TimeSeries([(datetime.datetime(2013, 1, 2, 0, 0), 18.972),\n", "\t (datetime.datetime(2013, 1, 3, 0, 0), 19.011),\n", "\t (datetime.datetime(2013, 1, 4, 0, 0), 19.008)\n", "\t ...\n", "\t (datetime.datetime(2022, 2, 10, 0, 0), 86.5),\n", "\t (datetime.datetime(2022, 2, 11, 0, 0), 85.226),\n", "\t (datetime.datetime(2022, 2, 14, 0, 0), 82.53299999999999)], frequency='D')" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ts = TimeSeries([(i.date, i.nav) for i in dfd.itertuples()], frequency='D')\n", "ts" ] }, { "cell_type": "code", "execution_count": 4, "id": "9e8ff6c6-3a36-435a-ba87-5b9844c18779", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(datetime.datetime(2022, 1, 31, 0, 0), 85.18),\n", " (datetime.datetime(2021, 5, 31, 0, 0), 74.85)]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ts[['2022-01-31', '2021-05-31']]" ] }, { "cell_type": "code", "execution_count": 16, "id": "086d4377-d1b1-4e51-84c0-39dee28ef75e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "TimeSeries([(datetime.datetime(2021, 2, 15, 0, 0), 73.483),\n", "\t (datetime.datetime(2021, 2, 16, 0, 0), 73.237),\n", "\t (datetime.datetime(2021, 2, 17, 0, 0), 72.98)\n", "\t ...\n", "\t (datetime.datetime(2022, 2, 10, 0, 0), 86.5),\n", "\t (datetime.datetime(2022, 2, 11, 0, 0), 85.226),\n", "\t (datetime.datetime(2022, 2, 14, 0, 0), 82.53299999999999)], frequency='D')" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ts[ts.dates>'2021-02-14']" ] }, { "cell_type": "code", "execution_count": 5, "id": "6f1226a3-2327-435b-88e7-fd0fdcc8cc1c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "TimeSeries([(datetime.datetime(2020, 1, 2, 0, 0), 58.285),\n", "\t (datetime.datetime(2020, 1, 3, 0, 0), 58.056999999999995),\n", "\t (datetime.datetime(2020, 1, 6, 0, 0), 56.938)\n", "\t ...\n", "\t (datetime.datetime(2022, 2, 10, 0, 0), 86.5),\n", "\t (datetime.datetime(2022, 2, 11, 0, 0), 85.226),\n", "\t (datetime.datetime(2022, 2, 14, 0, 0), 82.53299999999999)], frequency='D')" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "s = ts.dates > '2020-01-01'\n", "ts[s]" ] }, { "cell_type": "code", "execution_count": 9, "id": "e815edc9-3746-4192-814e-bd27b2771a0c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(datetime.datetime(2013, 1, 2, 0, 0), 18.972),\n", " (datetime.datetime(2013, 1, 3, 0, 0), 19.011),\n", " (datetime.datetime(2013, 1, 4, 0, 0), 19.008),\n", " (datetime.datetime(2013, 1, 7, 0, 0), 18.95),\n", " (datetime.datetime(2013, 1, 8, 0, 0), 18.954),\n", " (datetime.datetime(2013, 1, 9, 0, 0), 18.94),\n", " (datetime.datetime(2013, 1, 10, 0, 0), 18.957),\n", " (datetime.datetime(2013, 1, 11, 0, 0), 18.948),\n", " (datetime.datetime(2013, 1, 14, 0, 0), 19.177),\n", " (datetime.datetime(2013, 1, 15, 0, 0), 19.272000000000002)]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ts.iloc[:10]" ] }, { "cell_type": "code", "execution_count": 6, "id": "dc469722-c816-4b57-8d91-7a3b865f86be", "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 15.6 ms\n", "Wall time: 14 ms\n" ] } ], "source": [ "%%time\n", "from_date = datetime.date(2020, 1, 1)\n", "to_date = datetime.date(2021, 1, 1)\n", "# print(ts.calculate_returns(to_date, years=7))\n", "rr = ts.calculate_rolling_returns(from_date, to_date)" ] }, { "cell_type": "code", "execution_count": null, "id": "e5d357b4-4fe5-4a0a-8107-0ab6828d7c41", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.3" } }, "nbformat": 4, "nbformat_minor": 5 }