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revert DD report with pickle dataframe being stored (#1120)
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18180c2126
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c0b83a2e39
@@ -53,7 +53,7 @@ def draw_graph(
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(datetime.now() - timedelta(days=time_delta)).strftime("%Y-%m-%d"),
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)
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df_stock = stocks_helper.find_trendline(df_stock, "OC_High", "high")
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df_stock = stocks_helper.find_trendline(df_stock, "OC_Low", "how")
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df_stock = stocks_helper.find_trendline(df_stock, "OC_Low", "low")
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df_stock.to_pickle(df_stock_cache)
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else:
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@@ -61,7 +61,7 @@ def draw_graph(
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ticker, (datetime.now() - timedelta(days=time_delta)).strftime("%Y-%m-%d")
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)
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df_stock = stocks_helper.find_trendline(df_stock, "OC_High", "high")
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df_stock = stocks_helper.find_trendline(df_stock, "OC_Low", "how")
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df_stock = stocks_helper.find_trendline(df_stock, "OC_Low", "low")
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mc = mpf.make_marketcolors(
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up="green", down="red", edge="black", wick="black", volume="in", ohlc="i"
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44
gamestonk_terminal/reports/due_diligence.ipynb
vendored
44
gamestonk_terminal/reports/due_diligence.ipynb
vendored
@@ -50,6 +50,24 @@
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"display(Markdown(f\"# {ticker.upper()} - Due Diligence - {datetime.now().strftime('%Y/%m/%d %H:%M:%S')}\"))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3a473d25",
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"metadata": {},
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"outputs": [],
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"source": [
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"base_path=os.path.abspath(os.path.join('.'))\n",
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"report_cache_dir = pathlib.Path(base_path, \"gamestonk_terminal\", \"reports\", \"stored\")\n",
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" \n",
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"if not os.path.isdir(report_cache_dir):\n",
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" print(\"Reports data directory not found.\")\n",
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" print(f\"Creating {report_cache_dir}\")\n",
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" os.mkdir(report_cache_dir);\n",
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"else:\n",
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" print(f\"Found reports directory {report_cache_dir}\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "temporal-clerk",
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@@ -58,6 +76,28 @@
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"## Candle View"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d783ed59-1fb2-44f2-b4b0-bfdfee9afcb6",
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"metadata": {},
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"outputs": [],
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"source": [
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"from gamestonk_terminal.stocks import stocks_helper\n",
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"\n",
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"df_stock_cache = pathlib.Path(report_cache_dir, f\"{ticker}_stock_data.pkl\")\n",
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"if os.path.isfile(df_stock_cache):\n",
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" print(f\"Found a cache file. Loading {df_stock_cache}\")\n",
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" df_stock = pd.read_pickle(df_stock_cache)\n",
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"else:\n",
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" print(\"Cache file not found. Getting data.\")\n",
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" df_stock = stocks_helper.load_ticker(ticker, (datetime.now() - timedelta(days=180)).strftime(\"%Y-%m-%d\"))\n",
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" df_stock = stocks_helper.find_trendline(df_stock, \"OC_High\", \"high\")\n",
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" df_stock = stocks_helper.find_trendline(df_stock, \"OC_Low\", \"low\")\n",
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" print(f\"Saving cache file {ticker}_stock_data.pkl\")\n",
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" df_stock.to_pickle(df_stock_cache)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@@ -66,11 +106,7 @@
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"outputs": [],
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"source": [
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"import mplfinance as mpf\n",
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"from gamestonk_terminal.stocks import stocks_helper\n",
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"\n",
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"df_stock = stocks_helper.load_ticker(ticker, (datetime.now() - timedelta(days=180)).strftime(\"%Y-%m-%d\"))\n",
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"df_stock = stocks_helper.find_trendline(df_stock, \"OC_High\", \"high\")\n",
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"df_stock = stocks_helper.find_trendline(df_stock, \"OC_Low\", \"how\")\n",
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"mc = mpf.make_marketcolors(up='green',down='red',\n",
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" edge='black',\n",
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" wick='black',\n",
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