My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.

I was afraid that my savings would be eaten by inflation. I have created a powerful tool that based on past technical patterns (volatility, moving averages, statistics, trends, candlesticks, support and resistance, stock index indicators).
All the ones you know (RSI, MACD, STOCH, Bolinger Bands, SMA, DEMARK, Japanese candlesticks, ichimoku, fibonacci, williansR, balance of power, murrey math, etc) and more than 200 others.

The tool creates prediction models of correct trading points (buy signal and sell signal, every stock is good traded in time and direction).
For this I have used big data tools like pandas python, stock market libraries like: tablib, TAcharts ,pandas_ta... For data collection and calculation.
And powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.

With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).

I think it could be useful to you, to improve, I would like to share it with you, and if you are interested in improving and collaborating I am also willing, and if not file it in the box.

hi , thanks for this repository ,I have type NSEI as stock and selt 5 min but there is an api call error, do you have any idea about this error, maybe I select wrong paramaters,

and can u give some informations about updates in trading-repository,which strategy/epsisode is best in your opinion

Stock to plot: NSEI
Enter the amount of interval among 1, 5, 15 and 30:-5
Currently Pulling NSEI
Traceback (most recent call last):
File "C:\Python38\lib\site-packages\matplotlib\cbook_init_.py", line 196, in process
func(*args, **kwargs)
File "C:\Python38\lib\site-packages\matplotlib\animation.py", line 951, in _start
self._init_draw()
File "C:\Python38\lib\site-packages\matplotlib\animation.py", line 1743, in _init_draw
self._draw_frame(next(self.new_frame_seq()))
File "C:\Python38\lib\site-packages\matplotlib\animation.py", line 1766, in _draw_frame
self._drawn_artists = self._func(framedata, *self._args)
File "C:/Users/ahmet/PycharmProjects/Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN/animate.py", line 276, in animate
graphData(stock,10,50,interval)
File "C:/Users/ahmet/PycharmProjects/Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN/animate.py", line 111, in graphData
data, meta_data = ts.get_intraday(symbol=stock,interval=str(interval)+'min')
File "C:\Python38\lib\site-packages\alpha_vantage\alphavantage.py", line 218, in _format_wrapper
call_response, data_key, meta_data_key = func(
File "C:\Python38\lib\site-packages\alpha_vantage\alphavantage.py", line 160, in _call_wrapper
return self._handle_api_call(url), data_key, meta_data_key
File "C:\Python38\lib\site-packages\alpha_vantage\alphavantage.py", line 337, in _handle_api_call
raise ValueError(json_response["Error Message"])
ValueError: Invalid API call. Please retry or visit the documentation (https://www.alphavantage.co/documentation/) for TIME_SERIES_INTRADAY.
Plot will update every 5 minutes
Stock to plot:

Thats also the reason why target_model weights are never updated. Its a bug

hi ,I have run animate.py but I think it is only for forecasiting, how can we catch buy and sell signal
I am not so good about python language ,can u help me please
I think we shoulld use train and eval.py for that right? or is there anyway to do this on animate.py