diff --git a/.gitignore b/.gitignore index 1a254b16..93269c5f 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,6 @@ doc/build doc/examples +tests/ _as_gen __pycache__ *.pyc diff --git a/examples/collate_charts.ipynb b/examples/collate_charts.ipynb new file mode 100644 index 00000000..8b300a85 --- /dev/null +++ b/examples/collate_charts.ipynb @@ -0,0 +1,3471 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Import Lib" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import datetime, glob, os, re\n", + "from IPython.core.display import display, HTML\n", + "from pathlib import Path\n", + "\n", + "def get_orig_png_files(strategy_files_png):\n", + " results = []\n", + " files = [f.parts[-1] for f in strategy_files_png]\n", + " for f in files:\n", + " z = re.match(\".*(NQ.*\\.png)\", f)\n", + " if z:\n", + " results.append(z.groups()[0])\n", + " return results\n", + "\n", + "def img_str(f_img, f_img_path, id_img, width=800, height=600):\n", + " return f'{f_img} ({id_img})'\n", + "\n", + "def gen_img_table_html(files_png, title=\"charts\", excludes=[], width=800, height=600):\n", + " if len(files_png):\n", + " display(HTML(f'

{title} - {str(datetime.datetime.now())}

'))\n", + "\n", + " display(HTML(\"\"))\n", + " \n", + " # remove annotated files\n", + " files_img = []\n", + " for p in files_png.copy():\n", + " f_img1 = p.parts[-1]\n", + " if not f_img1 in excludes:\n", + " files_img.append(p)\n", + "\n", + " num_imgs = len(files_img)\n", + " for i in range(0, num_imgs, 2):\n", + " # if i > 1: break\n", + " f_img1 = files_img[i].parts[-1]\n", + " f_img1_path = files_img[i].as_uri()\n", + " display(HTML(img_str(f_img1, f_img1_path, f\"{i}/{num_imgs}\", width=width, height=height)))\n", + " try:\n", + " f_img2 = files_img[i+1].parts[-1]\n", + " f_img2_path = files_img[i+1].as_uri()\n", + " display(HTML(img_str(f_img2, f_img2_path, f\"{i+1}/{num_imgs}\", width=width, height=height)))\n", + " except:\n", + " pass\n", + "\n", + " display(HTML(\"
\")) \n", + "\n", + "def gen_img_table_html_v2(files_png, title=\"charts\", excludes=[], width=800, height=600):\n", + " if len(files_png):\n", + " display(HTML(f'

{title} - {str(datetime.datetime.now())}

'))\n", + "\n", + " display(HTML(\"\"))\n", + " \n", + " # remove annotated files\n", + " files_img = []\n", + " for p in files_png.copy():\n", + " f_img1 = p.parts[-1]\n", + " if not f_img1 in excludes:\n", + " files_img.append(p)\n", + "\n", + " num_imgs = len(files_img)\n", + " for i in range(num_imgs):\n", + " f_img1 = files_img[i].parts[-1]\n", + " f_img1_path = files_img[i].as_uri()\n", + " display(HTML(img_str(f_img1, f_img1_path, f\"{i}/{num_imgs}\", width=width, height=height)))\n", + "\n", + " display(HTML(\"
\")) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Chart Patterns" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "for p in strategy_files_png:\n", + " n = p.parts[-1].replace(\"INTC-\", \"\").replace(\".png\", \"\")\n", + " if int(n) < 10:\n", + " p.rename(Path.joinpath(p.parent, f\"INTC-{n.zfill(2)}.png\"))\n", + "\n", + "strategy_files_png = list(Path(CWD).glob(\"INTC-*.png\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "width,height = 800, 800\n", + "\n", + "CWD = r\"C:\\Users\\w_gon\\projects\\mplfinance\\examples\\images\"\n", + "\n", + "for ticker in [\"aapl\", \"adbe\", \"amd\", \"amzn\", \"googl\", \"intc\"]:\n", + " files_png = list(Path(CWD).glob(f\"{ticker}-*.png\"))\n", + "\n", + " gen_img_table_html_v2(files_png, title=f\"winner {ticker} chart patterns\", width=width, height=height)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Tips" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "How to collate many images of similar names into one single PDF file\n", + "\n", + "- run this notebook\n", + "- export result into html\n", + "- open the html page and print to pdf" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.8.5" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "165px" + }, + "toc_section_display": true, + "toc_window_display": true + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/datafeed/stooq.com/README.md b/examples/datafeed/stooq.com/README.md new file mode 100644 index 00000000..61047d42 --- /dev/null +++ b/examples/datafeed/stooq.com/README.md @@ -0,0 +1,13 @@ +## Chart Indicator RSI studies +C:\Users\w_gon\projects\mplfinance\examples\rsi_study_winner-3.ipynb + +## Streamlit App +C:\Users\w_gon\projects\streamlitapp\demos\ +- demo_mplfin.py + +## Historical studies with Stooq.com data +C:\gwgllc\stooq.com\ +- gwg_calculate_ta_test_qqq.ipynb (test) +- gwg_calculate_ta_nq_QQQ.ipynb (Nasdaq100) +- gwg_calculate_ta_ES_SPY.ipynb (SP500) +- gwg_chart_ui.py (streamlit App) \ No newline at end of file diff --git a/examples/datafeed/stooq.com/gwg_ES_analytics.ipynb b/examples/datafeed/stooq.com/gwg_ES_analytics.ipynb new file mode 100644 index 00000000..36f8abc6 --- /dev/null +++ b/examples/datafeed/stooq.com/gwg_ES_analytics.ipynb @@ -0,0 +1,311 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# This allows multiple outputs from a single jupyter notebook cell:\n", + "from IPython.core.interactiveshell import InteractiveShell\n", + "InteractiveShell.ast_node_interactivity = \"all\"" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "import lux" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import sqlite3\n", + "import pandas as pd\n", + "import numpy as np\n", + "import mplfinance as mpf" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _display_df(df, nrows=3):\n", + " print(df.head(nrows))\n", + " print(\"\\n\",3*\"..\",\"\\n\")\n", + " print(df.tail(nrows))\n", + " \n", + "def _reformat_date(df):\n", + " df.rename(columns = {\"date_\":\"Date\"},inplace=True)\n", + " df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n", + " df.set_index(\"Date\")\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "FLAG_DEBUG = False # True # \n", + "NUM_DAYS_QUOTE, NUM_DAYS_PLOT = 390, 250\n", + "RSI_PERIOD, RSI_AVG, RSI_BAND_WIDTH = 100, 25, 0.6\n", + "EMA_FAST, EMA_SLOW, EMA_LONG = 15, 50, 150\n", + "EMA_FAST_SCALE = 1.4 # EMA10 band half-width factor\n", + "EMA_SLOW_SCALE = 2.0 \n", + "MA_VOL = 20\n", + "SPAN, OVERLAP = 200, 15\n", + "PANID_PRICE, PANID_VOL, PANID_RSI, PANID_SIGNAL = 0, 3, 2, 1\n", + "PANEL_RATIOS = (8, 1, 8, 1)\n", + "FIGURE_WIDTH, FIGURE_HEIGHT = 17, 13\n", + "YELLOW = '#F5D928'\n", + "LIGHT_BLACK = '#8F8E83'" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "db_name = \"SP500\"\n", + "# file_tickers = \"wl_index-QQQ_NASDAQ100.csv\"\n", + "file_db = f\"db_{db_name}.sqlite\"\n", + "FILE_DB = file_db\n", + "# file_dict = \"ticker-catalog.csv\"\n", + "CHART_TABLE_NAME = \"quote_ta\"\n", + "ticker = 'SPY'\n", + "date_range = ('20210101', '20220406')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "conn = sqlite3.connect(file_db)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "select_qqq = f\"\"\"\n", + "select * from quote_ta where ticker='{ticker}' and \n", + " date_ between '{date_range[0]}' and '{date_range[1]}' order by date_ ;\n", + "\"\"\"\n", + "\n", + "sql_cnt_query = f\"\"\"\n", + "with cnt_total as (\n", + " select date_, count(*) cnt from quote_ta \n", + " where date_ between '{date_range[0]}' and '{date_range[1]}' group by date_\n", + "), cnt_pos as (\n", + " select date_, count(*) cnt from quote_ta \n", + " where rsi_avg > 0 and date_ between '{date_range[0]}' and '{date_range[1]}' group by date_\n", + "), cnt_neg as (\n", + " select date_, count(*) cnt from quote_ta \n", + " where rsi_avg < 0 and date_ between '{date_range[0]}' and '{date_range[1]}' group by date_\n", + ") \n", + "select \n", + " ct.date_, ct.cnt as \"total\", cp.cnt as \"pos\", cn.cnt as \"neg\", \n", + "\tround(100.0*cp.cnt/ct.cnt,1) as \"pct_pos\", \n", + "\tround(100.0*cn.cnt/ct.cnt,1) as \"pct_neg\"\n", + "from cnt_total ct, cnt_pos cp, cnt_neg cn\n", + "where ct.date_ = cp.date_ and ct.date_ = cn.date_\n", + ";\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "df_cnt = _reformat_date(pd.read_sql(sql_cnt_query, conn))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "df_qqq = _reformat_date(pd.read_sql(select_qqq, conn))" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "df_qqq.columns\n", + "\n", + "Index(['ticker', 'Date', 'open_', 'high_', 'low_', 'close_', 'volume_', 'w_p',\n", + " 'ema_fast', 'ema_slow', 'ema_long', 'ema_fast_u', 'ema_fast_d',\n", + " 'ema_slow_u', 'ema_slow_d', 'vol', 'vol_avg', 'rsi', 'rsi_avg', 'rsi_u',\n", + " 'rsi_d', 'rsi_signal'],\n", + " dtype='object')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "https://stackoverflow.com/questions/20865487/pandas-plot-without-a-legend" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([], dtype=object)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "array([], dtype=object)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "array([], dtype=object)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "array([], dtype=object)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "kwargs = {\"legend\":False,\"sharex\":True,\"subplots\":True,\"figsize\":(16,3),\"grid\":True}\n", + "df_cnt.plot.line(x='Date', y='pct_pos', ylabel=f\"{db_name} Pos(%)\", rot=0, xlabel='', **kwargs)\n", + "df_qqq.plot.line(x='Date', y='close_',ylabel=f\"{ticker}\",rot=0, xlabel='', **kwargs)\n", + "df_qqq.plot.line(x='Date', y='rsi', ylabel=\"RSI\", rot=0, xlabel='', **kwargs)\n", + "df_qqq.plot.line(x='Date', y='rsi_signal', rot=0, ylabel=\"Signal\", **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.8.5" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/datafeed/stooq.com/gwg_calculate_ta_ES_SPY.ipynb b/examples/datafeed/stooq.com/gwg_calculate_ta_ES_SPY.ipynb new file mode 100644 index 00000000..1869833c --- /dev/null +++ b/examples/datafeed/stooq.com/gwg_calculate_ta_ES_SPY.ipynb @@ -0,0 +1,987 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sqlite3\n", + "import pandas as pd\n", + "import numpy as np\n", + "from sql_metadata import Parser\n", + "from traceback import format_exc\n", + "import time" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# This allows multiple outputs from a single jupyter notebook cell:\n", + "from IPython.core.interactiveshell import InteractiveShell\n", + "InteractiveShell.ast_node_interactivity = \"all\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "FIRST_TIME = True\n", + "\n", + "FLAG_DEBUG = False # True # \n", + "\n", + "RSI_PERIOD, RSI_AVG, RSI_BAND_WIDTH = 100, 25, 0.6\n", + "EMA_FAST, EMA_SLOW, EMA_LONG = 15, 50, 150\n", + "EMA_FAST_SCALE = 1.4 # EMA10 band half-width factor\n", + "EMA_SLOW_SCALE = 2.0 \n", + "MA_VOL = 20\n", + "SPAN, OVERLAP = 200, 15\n", + "PANID_PRICE, PANID_VOL, PANID_RSI, PANID_SIGNAL = 0, 3, 2, 1\n", + "PANEL_RATIOS = (8, 1, 8, 1)\n", + "FIGURE_WIDTH, FIGURE_HEIGHT = 17, 13\n", + "YELLOW = '#F5D928'\n", + "LIGHT_BLACK = '#8F8E83'" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "CHART_TABLE_NAME = \"quote_ta\"\n", + "db_name = \"SP500\"\n", + "file_tickers = \"wl_index-SPY_SP500.csv\"\n", + "file_dict = \"ticker-catalog.csv\"\n", + "file_db = f\"db_{db_name}.sqlite\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def _load_stooq_data(file_path):\n", + " \"\"\"Load historical quotes from http://stooq.com/db/h\n", + " and parse it to Pandas dataframe\n", + " \"\"\"\n", + " df = pd.read_csv(file_path,index_col=2,parse_dates=False)\n", + " df.reset_index(inplace=True)\n", + " df.drop(columns=['', '', '