12/15/ · unique, counts = np. unique (Y, return_counts = True) predictions_type = dict (zip (unique, counts)) print ('Bull: ' + str ((predictions_type [1])) + ' percent: ' + str (round ((predictions_type [1] * ) / len (Y), 2)) + ' % ') print ('Bear: ' + str ((predictions_type [0])) + ' percent: ' + str (round ((predictions_type [0] * ) / len (Y), 2)) + ' % ') print ('Total: ' + str (len (Y)))Estimated Reading Time: 5 mins 4/5/ · Forex Python is a Free Foreign exchange rates and currency conversion. Features: List all currency rates. BitCoin price for all curuncies. Converting amount to BitCoins. Get historical rates for any day since Conversion rate for one currency(ex; USD to INR). Convert amount from one currency to other.(‘USD 10$’ to INR). Currency symbols 7/20/ · To make predictions on unknown data using a model, you need to save the model first(just like the way you use pickel to save python objects). Upon saving a tensorflow model, the values of weights and biases are saved to a file (having blogger.com). To know more on saving and restoring the model please refer to this link
Predict Forex candlestick patterns using Keras. | Mike Papinski Lab
Join Stack Overflow to learn, share knowledge, and build your career. Find centralized, trusted content and collaborate around the technologies you use most. Connect and share knowledge within a single location that is structured and easy to search. I have created tensorflow program in order to for the close prices of the forex. I have successfully created the predcitions but failed understand the way to forecast python programming tensorflow predict forex values for the future.
See the following is my prediction function:, python programming tensorflow predict forex. Here is the complete jupyter and datasets for test and train: My repository with code. Kindly, help me how I can forecast the close values for the future. Please do not share something related to predictions as I have tried. Kindly, let me know something that will forecast without any support just on the basis of training what I have given. If I understand your question correctly, by forecasting you mean predicting multiple closing prices in future for example next 5 closing prices from current state.
I went through your jupyter notebook. In short, you can not easily do that. Based on that you predict next closing price. If you would like to predict even further position, you would have to create an "artificial" position based on the predicted closing price. Here you can approximate that open price is same as previous closing, but you can only guess high and low prices.
You can continue like this for future steps. You could remove them from data, retrain the model, and make predictions without them, but they may be necessary for indicators calculations. I think it is not important to write the whole code plus I don't know how are the indicators calculated.
Also you should change way of data feeding because right now it only works with batches os size 1. I am not sure if your issue was resolved. I was facing the similar problem and this is how I solved it. We just launched a new product: Collectives on Stack Overflow.
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Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Python programming tensorflow predict forex What is Teams? Collectives on Stack Overflow. Learn more. How to forecast using the Tensorflow model? Ask Question. Asked 2 years, 11 months ago. Active 1 year, 6 months ago. Viewed 1k times. FileWriter 'logs', sess. graph tf. ckpt" try: with open "Checkpointcounter.
read except FileNotFoundError: print "First Time Running Training! ckpt" : saver. I hope to hear soon. python python x pandas tensorflow jupyter-notebook. asked Jul 20 '18 at Jaffer Wilson Jaffer Wilson 6, 7 7 gold badges 46 46 silver badges bronze badges. May I know the reason for a downvote please? Where my question is lacking? I have provided every detail regarding the code, then why still a downvote? Please someone can help me out what I can do here, python programming tensorflow predict forex.
I would love to hear suggestions, if any. To make predictions on unknown data using a model, you need to save the model first just like the way you use pickel to save python objects. Upon saving a tensorflow model, the values of weights and biases are saved to a file having etension. To know more on saving and restoring the model please refer to this link. bbhatta13 Even if I save or restore the model, how is it possible to python programming tensorflow predict forex the future values using it.
Can you show something regarding it? Please let me know. Add a comment. Active Oldest Votes. Variable tf. constant 0, python programming tensorflow predict forex.
edited Jul 30 '18 at answered Jul 29 '18 at Břetislav Hájek Břetislav Hájek 1, 1 1 gold badge 12 12 silver badges 12 12 bronze badges. Ok got you point., python programming tensorflow predict forex. But is there anything else I could do, to make the forecast successful using my method, i. Using OHLC and indicator values to forecast the next prices?
Can you help with that? Can you get me some workable model for it? For example, you can create a model which predicts all OHLC prices just a few changes in code and then calculate indicators. Or you can predict more than one for example 5 future closing price from the last step of RNN. If you want python programming tensorflow predict forex experiment even more, python programming tensorflow predict forex, you can create Sequence-to-Sequence model.
That would process know prices in first RNN and predict closing prices in second RNN. Python programming tensorflow predict forex cool. Can you just make the proper arrangements as per you suggestion in my code if possible. I would love to see it demonstrated.
Theories are a bit not understood by me. Can you please add the working changed here in your answer? I think it is not a point of this question to write a full code here, but you can contact me if you want to further discuss the problem. How can I contact python programming tensorflow predict forex Can you join the chat room here? Show 1 more comment. I was facing the similar problem and this is how I solved it - I used the same code, made some adjustments in number of neurons, batch size, past history and the evaluation period, python programming tensorflow predict forex.
I ran the code with multivariate data to predict one step ahead. I fed the predicted value in the dataset Recalculated the indicators. And ran the loop for next 30 minutes I was using 1 minute candle data This worked. Let me know if you need further help. answered Dec 9 '19 at Rajesh Dua Rajesh Dua 1. Can you share the code here? What you have made an attempt?
Because above mentioned statements cannot be considered as answer but a suggestion. I cannot even upvote you unless there is code involved. BTW thank you for the suggestion. I used the code from here [link] youtube. I have been reading about this and most of the people are saying that the model is doing naive forecasting as it could not learn anything.
I cannot even upvote your answer. Please let me know what is wrong and what you fixed. The code is must here. Secondly, people might downvote you if it remains without code.
Cryptocurrency-predicting RNN intro - Deep Learning w/ Python, TensorFlow and Keras p.8
, time: 21:53How to Predict Stock Prices in Python using TensorFlow 2 and Keras - Python Code
def predict(model, data): # retrieve the last sequence from data last_sequence = data["last_sequence"][-N_STEPS:] # expand dimension last_sequence = blogger.com_dims(last_sequence, axis=0) # get the prediction (scaled from 0 to 1) prediction = blogger.comt(last_sequence) # get the price (by inverting the scaling) if SCALE: predicted_price = data["column_scaler"]["adjclose"].inverse_transform(prediction)[0][0] else: predicted_price = prediction 4/5/ · Forex Python is a Free Foreign exchange rates and currency conversion. Features: List all currency rates. BitCoin price for all curuncies. Converting amount to BitCoins. Get historical rates for any day since Conversion rate for one currency(ex; USD to INR). Convert amount from one currency to other.(‘USD 10$’ to INR). Currency symbols 1/4/ · # make predictions trainPredict = blogger.comt(trainX) testPredict = blogger.comt(testX) # invert predictions trainPredict = blogger.come_transform(trainPredict) trainY = blogger.come_transform(trainY) testPredict = blogger.come_transform(testPredict) testY = blogger.come_transform(testY) # calculate root mean squared error trainScore = Reviews: 8
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