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.gitattributes

@@ -33,3 +33,19 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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+stock[[:space:]]market[[:space:]]prediction/venv/DLLs/tk86t.dll filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/DLLs/unicodedata.pyd filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Lib/ensurepip/_bundled/pip-23.0.1-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/bin/libcrypto-3-x64.dll filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/bin/libcrypto-3-x64.pdb filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/bin/libssl-3-x64.pdb filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/bin/mfc140u.dll filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/bin/openssl.pdb filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/bin/sqlite3.dll filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/bin/sqlite3.exe filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/lib/libcrypto.lib filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/lib/libsodium_static.lib filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/Library/lib/libzmq-mt-s-4_3_5.lib filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/python38.dll filter=lfs diff=lfs merge=lfs -text
+stock[[:space:]]market[[:space:]]prediction/venv/python38.pdb filter=lfs diff=lfs merge=lfs -text

stock market prediction/.gitignore

@@ -0,0 +1,162 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

stock market prediction/Dockerfile

@@ -0,0 +1,16 @@
+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+
+FROM python:3.7
+
+RUN useradd -m -u 1000 user
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

stock market prediction/README.md

@@ -0,0 +1 @@
+## Stock market Prediction using AI and DL

stock market prediction/SMP.egg-info/PKG-INFO

@@ -0,0 +1,8 @@
+Metadata-Version: 2.1
+Name: SMP
+Version: 0.0.1
+Author: Nitin
+Author-email: ny78455@gmail.com
+Requires-Dist: pandas
+Requires-Dist: numpy
+Requires-Dist: seaborn

stock market prediction/SMP.egg-info/SOURCES.txt

@@ -0,0 +1,18 @@
+README.md
+setup.py
+SMP.egg-info/PKG-INFO
+SMP.egg-info/SOURCES.txt
+SMP.egg-info/dependency_links.txt
+SMP.egg-info/requires.txt
+SMP.egg-info/top_level.txt
+src/__init__.py
+src/exception.py
+src/logger.py
+src/utils.py
+src/components/__init__.py
+src/components/data_ingestion.py
+src/components/data_transformation.py
+src/components/model_trainer.py
+src/pipeline/__init__.py
+src/pipeline/predict_pipeline.py
+src/pipeline/train_pipeline.py

stock market prediction/SMP.egg-info/dependency_links.txt

@@ -0,0 +1 @@
+

stock market prediction/SMP.egg-info/requires.txt

@@ -0,0 +1,3 @@
+pandas
+numpy
+seaborn

stock market prediction/SMP.egg-info/top_level.txt

@@ -0,0 +1 @@
+src

stock market prediction/app.py

@@ -0,0 +1,124 @@
+from flask import Flask, request, render_template, send_from_directory, jsonify
+from src.pipeline.pre_pipeline import StockDataDownloader, StockDataPipeline
+from src.pipeline.train_pipeline import TrainPipeline
+from src.pipeline.predict_pipeline import CustomData, PredictPipeline
+from src.pipeline.visualization_pipeline import RunVisPipeline
+
+app = Flask(__name__)
+
+# Ticker, period, and interval variables
+ticker = ''
+period = ''
+interval = ''
+
+@app.route('/')
+def index():
+    return render_template('index_new.html')  # Render the form
+
+@app.route('/process', methods=['POST'])
+def process():
+    global ticker, period, interval
+    try:
+        data = request.json  # Access JSON data sent from frontend
+        ticker = data.get('ticker', 'AAPL')
+        period = data.get('period', '3mo')
+        interval = data.get('interval', '1h')
+        
+        # Download stock data (mocked for demonstration)
+        downloader = StockDataDownloader(ticker=ticker, period=period, interval=interval)
+        downloader.download_data()
+
+        # Process the downloaded data
+        pipeline = StockDataPipeline(ticker, period, interval)
+        pipeline.run_pipeline()
+
+        # Train the model (mocked for demonstration)
+        train_pipeline = TrainPipeline()
+        train_pipeline.run_pipeline()
+
+        # Visualize the data (mocked for demonstration)
+        vis_pipeline = RunVisPipeline()
+        vis_pipeline.run_pipeline()
+
+        # Return the path to the generated plot file
+        graph_filename = 'plot.html'  # Adjust this based on your actual filename
+        return jsonify({'graphUrl': f'/renderplot/{graph_filename}'})
+
+    except Exception as e:
+        print("Error:", e)
+        return jsonify({'error': str(e)}), 500
+
+@app.route('/renderplot/<path:plot_filename>')
+def render_plot(plot_filename):
+    try:
+        # Serve the generated plot file from the templates directory
+        return send_from_directory('templates', plot_filename)
+
+    except Exception as e:
+        print("Error:", e)
+        return render_template('error.html', error="An error occurred while rendering the plot.")
+
+@app.route('/form')
+def home():
+    return render_template('form_new.html')  # Render the home page or dashboard
+
+@app.route('/predictdata', methods=['POST'])
+def predict_datapoint():
+    try:
+        # Mock data processing and prediction (replace with actual logic)
+        data = CustomData(
+            Year=int(request.form.get('year', 0)),
+            Month=int(request.form.get('month', 0)),
+            Day=int(request.form.get('day', 0)),
+            Hour=int(request.form.get('hour', 0)),
+            Minute=int(request.form.get('minute', 0)),
+            EMASignal=int(request.form.get('emasignal', 0)),
+            isPivot=int(request.form.get('ispivot', 0)),
+            CHOCH_pattern_detected=int(request.form.get('choch_pattern_detected', 0)),
+            fibonacci_signal=int(request.form.get('fibonacci_signal', 0)),
+            SL=float(request.form.get('sl', 0)),
+            TP=float(request.form.get('tp', 0)),
+            MinSwing=float(request.form.get('minswing', 0)),
+            MaxSwing=float(request.form.get('maxswing', 0)),
+            LBD_detected=int(request.form.get('lbd_detected', 0)),
+            LBH_detected=int(request.form.get('lbh_detected', 0)),
+            SR_signal=int(request.form.get('sr_signal', 0)),
+            isBreakOut=int(request.form.get('isbreakout', 0)),
+            candlestick_signal=int(request.form.get('candlestick_signal', 0)),
+            result=int(request.form.get('result', 0)),
+            signal1=int(request.form.get('signal1', 0)),
+            buy_signal=int(request.form.get('buy_signal', 0)),
+            Position=int(request.form.get('position', 0)),
+            sell_signal=int(request.form.get('sell_signal', 0)),
+            fractal_high=float(request.form.get('fractal_high', 0)),
+            fractal_low=float(request.form.get('fractal_low', 0)),
+            buy_signal1=int(request.form.get('buy_signal1', 0)),
+            sell_signal1=int(request.form.get('sell_signal1', 0)),
+            fractals_high=int(request.form.get('fractals_high', 0)),
+            fractals_low=int(request.form.get('fractals_low', 0)),
+            VSignal=int(request.form.get('vsignal', 0)),
+            PriceSignal=int(request.form.get('pricesignal', 0)),
+            TotSignal=int(request.form.get('totsignal', 0)),
+            SLSignal=int(request.form.get('slsignal', 0)),
+            grid_signal=int(request.form.get('grid_signal', 0)),
+            ordersignal=int(request.form.get('ordersignal', 0)),
+            SLSignal_heiken=float(request.form.get('slsignal_heiken', 0)),
+            EMASignal1=int(request.form.get('emasignal1', 0)),
+            long_signal=int(request.form.get('long_signal', 0)),
+            martiangle_signal=int(request.form.get('martiangle_signal', 0))
+        )
+        
+        # Perform prediction (mocked for demonstration)
+        predict_pipeline = PredictPipeline()
+        input_data = data.get_data_as_array().astype(float)  # Convert to float array
+        results = predict_pipeline.predict(input_data)
+        print("Predicted Results:", results)
+
+        return render_template('form_new.html', results=int(results[0]))
+
+    except Exception as e:
+        print("Error:", e)
+        return render_template('error.html', error=str(e))
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)

stock market prediction/artifacts/data.csv

@@ -0,0 +1,391 @@
+Year,Month,Day,Hour,Minute,EMASignal,isPivot,CHOCH_pattern_detected,fibonacci_signal,SL,TP,MinSwing,MaxSwing,LBD_detected,LBH_detected,SR_signal,isBreakOut,candlestick_signal,result,signal1,buy_signal,sell_signal,Position,fractal_high,fractal_low,fractals_high,fractals_low,buy_signal1,sell_signal1,VSignal,PriceSignal,TotSignal,SLSignal,grid_signal,ordersignal,SLSignal_heiken,EMASignal1,long_signal,martiangle_signal,Candle_direction
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stock market prediction/artifacts/df_cleaned.csv

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stock market prediction/catboost_info/time_left.tsv

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stock market prediction/logs/06_10_2024_17_04_08.log/06_10_2024_17_04_08.log

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+[ 2024-06-10 17:04:09,562 ] 26 root - INFO - Entered the data ingestion method or component
+[ 2024-06-10 17:04:09,584 ] 29 root - INFO - Read the dataset as dataframe
+[ 2024-06-10 17:04:09,619 ] 35 root - INFO - Train test split initiated
+[ 2024-06-10 17:04:09,660 ] 42 root - INFO - Inmgestion of the data iss completed

stock market prediction/logs/06_10_2024_17_33_53.log/06_10_2024_17_33_53.log

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+[ 2024-06-10 17:33:57,445 ] 26 root - INFO - Entered the data ingestion method or component
+[ 2024-06-10 17:33:57,484 ] 29 root - INFO - Read the dataset as dataframe
+[ 2024-06-10 17:33:57,566 ] 35 root - INFO - Train test split initiated
+[ 2024-06-10 17:33:57,648 ] 42 root - INFO - Inmgestion of the data iss completed
+[ 2024-06-10 17:33:57,680 ] 78 root - INFO - Read train and test data completed
+[ 2024-06-10 17:33:57,680 ] 79 root - INFO - Obtaining preprocessing object
+[ 2024-06-10 17:33:57,680 ] 58 root - INFO - Categorical columns: []
+[ 2024-06-10 17:33:57,680 ] 59 root - INFO - Numerical columns: ['Year', 'Month', 'Day', 'Hour', 'Minute', 'EMASignal', 'isPivot', 'CHOCH_pattern_detected', 'fibonacci_signal', 'SL', 'TP', 'MinSwing', 'MaxSwing', 'LBD_detected', 'LBH_detected', 'SR_signal', 'isBreakOut', 'candlestick_signal', 'result', 'signal1', 'buy_signal', 'Position', 'sell_signal', 'fractal_high', 'fractal_low', 'buy_signal1', 'sell_signal1', 'fractals_high', 'fractals_low', 'VSignal', 'PriceSignal', 'TotSignal', 'SLSignal', 'grid_signal', 'ordersignal', 'SLSignal_heiken', 'EMASignal1', 'long_signal', 'martiangle_signal']
+[ 2024-06-10 17:33:57,685 ] 103 root - INFO - Applying preprocessing object on training and testing dataframes
+[ 2024-06-10 17:33:57,735 ] 111 root - INFO - Saved preprocessing object

stock market prediction/logs/06_10_2024_17_44_05.log/06_10_2024_17_44_05.log

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+[ 2024-06-10 17:44:11,673 ] 26 root - INFO - Entered the data ingestion method or component
+[ 2024-06-10 17:44:11,757 ] 29 root - INFO - Read the dataset as dataframe
+[ 2024-06-10 17:44:11,887 ] 35 root - INFO - Train test split initiated
+[ 2024-06-10 17:44:12,037 ] 42 root - INFO - Inmgestion of the data iss completed
+[ 2024-06-10 17:44:12,095 ] 78 root - INFO - Read train and test data completed
+[ 2024-06-10 17:44:12,095 ] 79 root - INFO - Obtaining preprocessing object
+[ 2024-06-10 17:44:12,096 ] 58 root - INFO - Categorical columns: []
+[ 2024-06-10 17:44:12,097 ] 59 root - INFO - Numerical columns: ['Year', 'Month', 'Day', 'Hour', 'Minute', 'EMASignal', 'isPivot', 'CHOCH_pattern_detected', 'fibonacci_signal', 'SL', 'TP', 'MinSwing', 'MaxSwing', 'LBD_detected', 'LBH_detected', 'SR_signal', 'isBreakOut', 'candlestick_signal', 'result', 'signal1', 'buy_signal', 'Position', 'sell_signal', 'fractal_high', 'fractal_low', 'buy_signal1', 'sell_signal1', 'fractals_high', 'fractals_low', 'VSignal', 'PriceSignal', 'TotSignal', 'SLSignal', 'grid_signal', 'ordersignal', 'SLSignal_heiken', 'EMASignal1', 'long_signal', 'martiangle_signal']
+[ 2024-06-10 17:44:12,111 ] 103 root - INFO - Applying preprocessing object on training and testing dataframes
+[ 2024-06-10 17:44:12,377 ] 111 root - INFO - Saved preprocessing object
+[ 2024-06-10 17:44:12,383 ] 33 root - INFO - Split training and test input data

stock market prediction/logs/06_10_2024_17_50_16.log/06_10_2024_17_50_16.log

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+[ 2024-06-10 17:50:30,318 ] 26 root - INFO - Entered the data ingestion method or component
+[ 2024-06-10 17:50:30,349 ] 29 root - INFO - Read the dataset as dataframe
+[ 2024-06-10 17:50:30,418 ] 35 root - INFO - Train test split initiated
+[ 2024-06-10 17:50:30,501 ] 42 root - INFO - Inmgestion of the data iss completed
+[ 2024-06-10 17:50:30,528 ] 78 root - INFO - Read train and test data completed
+[ 2024-06-10 17:50:30,529 ] 79 root - INFO - Obtaining preprocessing object
+[ 2024-06-10 17:50:30,529 ] 58 root - INFO - Categorical columns: []
+[ 2024-06-10 17:50:30,529 ] 59 root - INFO - Numerical columns: ['Year', 'Month', 'Day', 'Hour', 'Minute', 'EMASignal', 'isPivot', 'CHOCH_pattern_detected', 'fibonacci_signal', 'SL', 'TP', 'MinSwing', 'MaxSwing', 'LBD_detected', 'LBH_detected', 'SR_signal', 'isBreakOut', 'candlestick_signal', 'result', 'signal1', 'buy_signal', 'Position', 'sell_signal', 'fractal_high', 'fractal_low', 'buy_signal1', 'sell_signal1', 'fractals_high', 'fractals_low', 'VSignal', 'PriceSignal', 'TotSignal', 'SLSignal', 'grid_signal', 'ordersignal', 'SLSignal_heiken', 'EMASignal1', 'long_signal', 'martiangle_signal']
+[ 2024-06-10 17:50:30,535 ] 103 root - INFO - Applying preprocessing object on training and testing dataframes
+[ 2024-06-10 17:50:30,579 ] 111 root - INFO - Saved preprocessing object
+[ 2024-06-10 17:50:30,582 ] 27 root - INFO - Split training and test input data
+[ 2024-06-10 17:51:37,597 ] 804 tensorflow - INFO - Assets written to: artifacts\model.pkl\assets

stock market prediction/logs/06_10_2024_19_07_17.log/06_10_2024_19_07_17.log

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+[ 2024-06-10 19:07:19,729 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 19:07:19,730 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 19:07:54,782 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:07:54] "GET / HTTP/1.1" 200 -
+[ 2024-06-10 19:07:54,964 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:07:54] "GET /favicon.ico HTTP/1.1" 404 -
+[ 2024-06-10 19:08:06,618 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:08:06] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 19:08:36,611 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 20, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:08:36,614 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:08:36] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_19_21_00.log/06_10_2024_19_21_00.log

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+[ 2024-06-10 19:21:01,127 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 19:21:01,128 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 19:21:05,640 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:21:05] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 19:21:09,401 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 20, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:21:09,404 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:21:09] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_19_37_21.log/06_10_2024_19_37_21.log

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+[ 2024-06-10 19:37:23,044 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 19:37:23,045 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 19:37:26,707 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:37:26] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 19:37:30,439 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 20, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:37:30,441 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:37:30] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 19:37:46,434 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:37:46] "GET / HTTP/1.1" 200 -
+[ 2024-06-10 19:38:11,901 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:38:11] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 19:38:15,414 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 20, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:38:15,415 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:38:15] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 19:38:24,711 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 20, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:38:24,712 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:38:24] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_19_41_53.log/06_10_2024_19_41_53.log

@@ -0,0 +1,20 @@
+[ 2024-06-10 19:41:54,435 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 19:41:54,436 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 19:41:58,562 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:41:58] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 19:42:02,301 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:42:02,305 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:42:02] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_19_53_22.log/06_10_2024_19_53_22.log

@@ -0,0 +1,20 @@
+[ 2024-06-10 19:53:24,175 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 19:53:24,176 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 19:53:29,028 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:53:29] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 19:53:33,146 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:53:33,148 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:53:33] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_19_54_42.log/06_10_2024_19_54_42.log

@@ -0,0 +1,63 @@
+[ 2024-06-10 19:54:43,265 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 19:54:43,266 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 19:54:46,259 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:54:46,261 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:54:46] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 19:54:47,258 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:54:47,259 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:54:47] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 19:54:47,970 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:54:47,971 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:54:47] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 19:55:02,269 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:55:02] "GET / HTTP/1.1" 200 -
+[ 2024-06-10 19:55:13,834 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:55:13] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 19:55:17,572 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 19:55:17,574 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 19:55:17] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_20_05_01.log/06_10_2024_20_05_01.log

@@ -0,0 +1,34 @@
+[ 2024-06-10 20:05:02,090 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 20:05:02,091 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 20:05:08,097 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 20:05:08,100 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:05:08] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 20:05:12,901 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 20:05:12,902 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:05:12] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 20:05:29,802 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:05:29] "GET /predictdata HTTP/1.1" 200 -

stock market prediction/logs/06_10_2024_20_10_50.log/06_10_2024_20_10_50.log

@@ -0,0 +1,8 @@
+[ 2024-06-10 20:10:51,561 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 20:10:51,561 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 20:10:55,602 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:10:55] "GET /predictdata HTTP/1.1" 405 -
+[ 2024-06-10 20:11:29,830 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:11:29] "GET / HTTP/1.1" 200 -
+[ 2024-06-10 20:11:46,460 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:11:46] "GET /predictdata HTTP/1.1" 405 -

stock market prediction/logs/06_10_2024_20_12_41.log/06_10_2024_20_12_41.log

@@ -0,0 +1,10 @@
+[ 2024-06-10 20:12:42,033 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 20:12:42,033 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 20:12:49,318 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:12:49] "GET /predictdata HTTP/1.1" 405 -
+[ 2024-06-10 20:12:50,363 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:12:50] "GET /predictdata HTTP/1.1" 405 -
+[ 2024-06-10 20:12:57,787 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:12:57] "GET / HTTP/1.1" 200 -
+[ 2024-06-10 20:13:06,837 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:13:06] "GET / HTTP/1.1" 200 -
+[ 2024-06-10 20:13:22,553 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:13:22] "GET /predictdata HTTP/1.1" 405 -

stock market prediction/logs/06_10_2024_20_15_24.log/06_10_2024_20_15_24.log

@@ -0,0 +1,20 @@
+[ 2024-06-10 20:15:25,131 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 20:15:25,131 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 20:15:28,357 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:15:28] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 20:15:31,455 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 20:15:31,458 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:15:31] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_20_32_42.log/06_10_2024_20_32_42.log

@@ -0,0 +1,11 @@
+[ 2024-06-10 20:32:57,988 ] 26 root - INFO - Entered the data ingestion method or component
+[ 2024-06-10 20:32:58,025 ] 29 root - INFO - Read the dataset as dataframe
+[ 2024-06-10 20:32:58,098 ] 35 root - INFO - Train test split initiated
+[ 2024-06-10 20:32:58,200 ] 42 root - INFO - Inmgestion of the data iss completed
+[ 2024-06-10 20:32:58,235 ] 78 root - INFO - Read train and test data completed
+[ 2024-06-10 20:32:58,235 ] 79 root - INFO - Obtaining preprocessing object
+[ 2024-06-10 20:32:58,235 ] 58 root - INFO - Categorical columns: []
+[ 2024-06-10 20:32:58,235 ] 59 root - INFO - Numerical columns: ['Year', 'Month', 'Day', 'Hour', 'Minute', 'EMASignal', 'isPivot', 'CHOCH_pattern_detected', 'fibonacci_signal', 'SL', 'TP', 'MinSwing', 'MaxSwing', 'LBD_detected', 'LBH_detected', 'SR_signal', 'isBreakOut', 'candlestick_signal', 'result', 'signal1', 'buy_signal', 'Position', 'sell_signal', 'fractal_high', 'fractal_low', 'buy_signal1', 'sell_signal1', 'fractals_high', 'fractals_low', 'VSignal', 'PriceSignal', 'TotSignal', 'SLSignal', 'grid_signal', 'ordersignal', 'SLSignal_heiken', 'EMASignal1', 'long_signal', 'martiangle_signal']
+[ 2024-06-10 20:32:58,241 ] 103 root - INFO - Applying preprocessing object on training and testing dataframes
+[ 2024-06-10 20:32:58,279 ] 111 root - INFO - Saved preprocessing object
+[ 2024-06-10 20:32:58,283 ] 27 root - INFO - Split training and test input data

stock market prediction/logs/06_10_2024_20_37_12.log/06_10_2024_20_37_12.log

@@ -0,0 +1,20 @@
+[ 2024-06-10 20:37:23,592 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 20:37:23,593 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 20:37:28,268 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:37:28] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 20:37:30,841 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 20:37:30,848 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:37:30] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_20_39_44.log/06_10_2024_20_39_44.log

@@ -0,0 +1,11 @@
+[ 2024-06-10 20:39:54,417 ] 26 root - INFO - Entered the data ingestion method or component
+[ 2024-06-10 20:39:54,453 ] 29 root - INFO - Read the dataset as dataframe
+[ 2024-06-10 20:39:54,519 ] 35 root - INFO - Train test split initiated
+[ 2024-06-10 20:39:54,592 ] 42 root - INFO - Inmgestion of the data iss completed
+[ 2024-06-10 20:39:54,618 ] 78 root - INFO - Read train and test data completed
+[ 2024-06-10 20:39:54,619 ] 79 root - INFO - Obtaining preprocessing object
+[ 2024-06-10 20:39:54,619 ] 58 root - INFO - Categorical columns: []
+[ 2024-06-10 20:39:54,619 ] 59 root - INFO - Numerical columns: ['Year', 'Month', 'Day', 'Hour', 'Minute', 'EMASignal', 'isPivot', 'CHOCH_pattern_detected', 'fibonacci_signal', 'SL', 'TP', 'MinSwing', 'MaxSwing', 'LBD_detected', 'LBH_detected', 'SR_signal', 'isBreakOut', 'candlestick_signal', 'result', 'signal1', 'buy_signal', 'Position', 'sell_signal', 'fractal_high', 'fractal_low', 'buy_signal1', 'sell_signal1', 'fractals_high', 'fractals_low', 'VSignal', 'PriceSignal', 'TotSignal', 'SLSignal', 'grid_signal', 'ordersignal', 'SLSignal_heiken', 'EMASignal1', 'long_signal', 'martiangle_signal']
+[ 2024-06-10 20:39:54,623 ] 103 root - INFO - Applying preprocessing object on training and testing dataframes
+[ 2024-06-10 20:39:54,664 ] 111 root - INFO - Saved preprocessing object
+[ 2024-06-10 20:39:54,667 ] 27 root - INFO - Split training and test input data

stock market prediction/logs/06_10_2024_20_43_35.log/06_10_2024_20_43_35.log

@@ -0,0 +1,49 @@
+[ 2024-06-10 20:43:50,886 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 20:43:50,887 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 20:43:55,279 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:43:55] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 20:44:05,821 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 20:44:05,826 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:44:05] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 20:44:18,204 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 20:44:18,207 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:44:18] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 20:46:24,213 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 20:46:24,216 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:46:24] "POST /predictdata HTTP/1.1" 500 -
+[ 2024-06-10 20:46:29,865 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:46:29] "GET /predictdata HTTP/1.1" 200 -

stock market prediction/logs/06_10_2024_20_48_56.log/06_10_2024_20_48_56.log

@@ -0,0 +1,20 @@
+[ 2024-06-10 20:49:07,489 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 20:49:07,490 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 20:49:14,188 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:49:14] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 20:49:17,474 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 16, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+[ 2024-06-10 20:49:17,482 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:49:17] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_20_51_38.log/06_10_2024_20_51_38.log

@@ -0,0 +1,41 @@
+[ 2024-06-10 20:51:47,661 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 20:51:47,662 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 20:51:52,795 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:51:52] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 20:51:55,993 ] 838 app - ERROR - Exception on /predictdata [POST]
+Traceback (most recent call last):
+  File "c:/SMP/app.py", line 18, in predict_datapoint
+    Year=int(request.form.get('Year')),
+TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 1473, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 882, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 880, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "C:\SMP\venv\lib\site-packages\flask\app.py", line 865, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)  # type: ignore[no-any-return]
+  File "c:/SMP/app.py", line 67, in predict_datapoint
+    return render_template('error.html', error=str(e))
+  File "C:\SMP\venv\lib\site-packages\flask\templating.py", line 149, in render_template
+    template = app.jinja_env.get_or_select_template(template_name_or_list)
+  File "C:\SMP\venv\lib\site-packages\jinja2\environment.py", line 1084, in get_or_select_template
+    return self.get_template(template_name_or_list, parent, globals)
+  File "C:\SMP\venv\lib\site-packages\jinja2\environment.py", line 1013, in get_template
+    return self._load_template(name, globals)
+  File "C:\SMP\venv\lib\site-packages\jinja2\environment.py", line 972, in _load_template
+    template = self.loader.load(self, name, self.make_globals(globals))
+  File "C:\SMP\venv\lib\site-packages\jinja2\loaders.py", line 126, in load
+    source, filename, uptodate = self.get_source(environment, name)
+  File "C:\SMP\venv\lib\site-packages\flask\templating.py", line 65, in get_source
+    return self._get_source_fast(environment, template)
+  File "C:\SMP\venv\lib\site-packages\flask\templating.py", line 99, in _get_source_fast
+    raise TemplateNotFound(template)
+jinja2.exceptions.TemplateNotFound: error.html
+[ 2024-06-10 20:51:56,002 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:51:56] "POST /predictdata HTTP/1.1" 500 -

stock market prediction/logs/06_10_2024_20_54_27.log/06_10_2024_20_54_27.log

@@ -0,0 +1,10 @@
+[ 2024-06-10 20:54:36,282 ] 97 werkzeug - INFO - WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:5000
+ * Running on http://192.168.101.7:5000
+[ 2024-06-10 20:54:36,282 ] 97 werkzeug - INFO - Press CTRL+C to quit
+[ 2024-06-10 20:54:44,595 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:54:44] "GET / HTTP/1.1" 200 -
+[ 2024-06-10 20:54:53,127 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:54:53] "GET / HTTP/1.1" 200 -
+[ 2024-06-10 20:55:01,228 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:55:01] "GET /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 20:55:06,453 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:55:06] "POST /predictdata HTTP/1.1" 200 -
+[ 2024-06-10 20:57:39,973 ] 97 werkzeug - INFO - 127.0.0.1 - - [10/Jun/2024 20:57:39] "POST /predictdata HTTP/1.1" 200 -