Dr. Ernest P. Chan – Neural Networks in Trading

Dr. Ernest P. Chan – Neural Networks in TradingRecommended for programmers and quants to implement neural network and deep learning in financial markets. Offered by Dr. Ernest Chan, learn to use advanced techniques such as LSTM, RNN in live trading.Explain what a neural network is and how it worksCode a neural network model using SklearnDescribe a Deep Neural NetworkList the various activation functions usedCode a market trend predicting strategyDescribe a Recurrent Neural NetworkAnalyze an LSTM cell and its workingCode a market close-price predicting strategyPerform a cross-validation to tune the hyper-parameters of a deep learning modelPaper trade and live trade your strategies without any installations or downloadsSKILLS COVEREDMath ConceptsMean Squared ErrorLoss FunctionSigmoid FunctionCross EntropyMachine LearningCross ValidationHyper-parametersRecurrent Neural NetworksLong Short Term MemoryPythonNeural_networkR2scorerAccuracy_scoreKerasPicklePREREQUISITES You should have a basic knowledge of machine learning algorithms and training and testing datasets. These concepts are covered in our free course ‘Introduction to Machine Learning’. Prior experience in programming is required to fully understand the implementation of Artificial Intelligence techniques covered in the course. However, Python programming knowledge is optional. If you want to be able to code and implement the machine learning strategies in Python, you should be able to work with ‘Dataframes’ and ‘Sklearn’ library. Some of these skills are covered in the course ‘Python for Trading’.SYLLABUSNeural Networks in Trading by Dr. Ernest P. Chan, what is it included (Content proof: Watch here!)Introduction – 3m 54sQuantra Features and Guidance – 4m 9sNeural Networks Intuition – 1m 55sLinear Regression Revisited – 3mHidden Layers – 2mStructure of a Neural Network – 2mUnderstanding Forward Propagation – 10mForward Propagation Mechanism – 2mBackpropagation – 2m 56sCalculate the MSE – 2mIdentify Loss Functions – 2mLoss Optimisation – 2mIdentify Optimisation Method – 2mFunction Derivative Chain Rule – 10mIdentify Derivative Equation – 2mMath behind Back-Propagation – 10mImplement a MLPClassifier – 2m 26sIdentify the Sigmoid Graph – 2mOutput of a Sigmoid Function – 2mHow to Use Jupyter Notebook? – 1m 54sMLPClassifier Hands-on – 10mImport Boeing Co Data – 5mDefine Predictor Variable – 5mCalculate Future Returns – 5mDefine Target Variable – 5mTrain-Test Split – 5mFeature Scaling – 5mLoss Optimisation Algorithm – 2mWhat is Sigmoid? – 2mHidden Layer Sizes – 2mMLPClassifier Definition – 5mPredict Market Movement – 5mGenerate Evaluation Metrics – 2mLive Trading on BlueshiftLive Trading TemplateDeep Learning in TradingRecurrent Neural NetworksLong Short Term Memory Unit (LSTMs)Cross Validation in KerasChallenges in Live TradingPython InstallationPaper and Live TradingDownloadable ResourcesWHY QUANTRA?Gain more in less timeGet taught by practitionersLearn at your own paceGet data & strategy models to practice on your ownUSER TESTIMONIALSAbinash TripathyAccountant at HCL Peripherals, IndiaLet me explain why I gave this course 5 stars. When I first bought this course, it lacked the implementation section. I complained about it and they fixed it, thereby actually making the course worth for me. Thank you very much Team Quantra. If you have no clue what Neural Networks in Trading is and want to learn about it then this is the course for you. Highly Recommended, especially due to the insane support they provide in case you have any issue related to the course.Sergei CherkasovTrader, RussiaI had two Dr. Chans courses on artificial intelligence and I want to rate them as really good. For me it was a good start in machine learning. Learned a lot here as these courses are made well. My very big desire for these courses is to have paper/real trading examples for every strategy and model that was in the course, as it will help learners to learn faster and prosper at trading!Sergei BelovUnited States A very good explanation of RNNs and LSTMs as well as hyper-parameter tuning.Sale Page: https://quantra.quantinsti.com/course/neural-networks-deep-learning-trading-ernest-chanArchive: https://archive.ph/LTmQGDelivery Method– After your purchase, you’ll see a View your orders link which goes to the Downloads page. Here, you can download all the files associated with your order.– Downloads are available once your payment is confirmed, we’ll also send you a download notification email separate from any transaction notification emails you receive from esy[GB].– Since it is a digital copy, our suggestion is to download and save it to your hard drive. In case the link is broken for any reason, please contact us and we will resend the new download link.– If you cannot find the download link, please don’t worry about that. We will update and notify you as soon as possible at 8:00 AM – 8:00 PM (UTC+8).Thank You For Shopping With Us!