├── Curves, Markov and Bayes ├── BTC-USD.csv ├── BitCoin_Daily_Close.csv ├── DJI.csv ├── GSPC.csv ├── IXIC.csv ├── LevelData.py ├── LeveledLogStockData.csv ├── LoadAndMatchDates.py ├── NASDAQ.csv ├── PredictMarketWithBayesTheorem.py ├── PredictMarketWithMarkovChain.py ├── README.md ├── RUT.csv ├── SP500.csv ├── StandardizedData.png ├── StockCurves.py ├── StockData.csv ├── StockDataWithVolume.csv ├── UniveralityVolume.png ├── Universality.py ├── UniversalityGainsLosses.py ├── UniversalityUpDown.png ├── UniversalityUpDown.py ├── build_chain.py ├── build_chain_BitCoin.py └── histogram.png ├── FB Prophet ├── Prophet_Nasdaq.py ├── Prophet_Nasdaq_components.png └── Prophet_Nasdaq_forecast.png ├── FullyConnectedForwardFeedNets ├── LeveledLogStockData.csv ├── NasdaqPrediction.py ├── nasdaq_prediction.png ├── nasdaq_validatation.png └── training_nasdaq.png ├── Gold ├── AutoEncoderGold.py ├── FBProphet_Gold.py ├── GoldLinearRegression.py ├── GoldMarkov.py ├── GoldPhaseSpace.py ├── GoldRegression.png ├── Gold_Predictions_2018.png ├── Gold_all.csv ├── Gold_duringGoldStandard.png ├── Gold_offGoldStandard.png ├── LogGoldRegression.png ├── PhaseSpace.py ├── PredictGold.py ├── Prophet_Gold_components.png ├── Prophet_Gold_forecast.png └── gold_autoencoder.png ├── KerasBitCoinModels ├── 1d_conv.h5 ├── 1d_conv__gru_predictions.png ├── 1d_conv_gru.h5 ├── 1d_conv_gru_loss.png ├── 1d_conv_loss.png ├── 1d_conv_predictions.png ├── Recurrent_btc.py ├── bi_direction_rnn.h5 ├── bidirectional_rnn_loss.png ├── bidirectional_rnn_predictions.png ├── gru_model.h5 ├── gru_model_loss.png ├── gru_model_predictions.png ├── sequential_model.h5 ├── sequential_model_loss.png └── sequential_model_predictions.png ├── LICENSE ├── Markov Decision Processes ├── Bot.py ├── BruteForce.py ├── BruteForce_output.txt ├── Data.py ├── Policy Iteration.py ├── Value Iteration.py ├── brute_force.npy ├── btc.csv ├── policy_iteration.npy ├── policy_iteration_output.txt ├── value_iteration.npy └── value_iteration_output.txt ├── Misc experiments ├── Bayes.py ├── ErgodicityProblem.ipynb ├── FFT_DJIA.png ├── FFT_Stock_Prediction.py ├── PortfolioOptimizationOfIndexFunds.py ├── RollingSkew.png ├── RollingStatsBeforeLargeReturnDays.py ├── SingleChainMarkov.png ├── Std_Kurtosis_MarketPeaks.png ├── Stocks_SimpleMarkovChain.py ├── Trends.py ├── TrendsResults.txt ├── Volatility.png └── Volatility.py ├── Nasdaq Evolved Network ├── Digraph.gv ├── Digraph.gv.svg ├── LevelData.py ├── LeveledLogStockData.csv ├── LoadAndMatchDates.py ├── Network.png ├── Output 2.png ├── Output 4.png ├── StockData.csv ├── StockDataWithVolume.csv ├── TestData.png ├── __pycache__ │ └── visualize.cpython-35.pyc ├── avg_fitness.png ├── avg_fitness.svg ├── config-feedforward ├── evolve-feedforward.py ├── neat-checkpoint-14 ├── neat-checkpoint-19 ├── neat-checkpoint-4 ├── neat-checkpoint-9 ├── speciation.png ├── speciation.svg └── visualize.py ├── NeuralNetworks ├── AutoEncoderAnomaliesNasdaq.py ├── LSTM.py ├── Reinforcement_tf.py └── nasdaq_autoencoder.png ├── README.md ├── Reinforcement.py ├── Silver Winner Jane Street Stock Competition ├── README.md ├── bottleneck-neuralnet.ipynb ├── flat-ffn.ipynb ├── graph-and-plot-feature-correlations-v2.ipynb └── janestreet-first-feature-look.ipynb ├── Stock GAN ├── BTC-USD.csv ├── Stock GAN.ipynb ├── ^IXIC.csv ├── bitcoin_wkly.csv └── nasdaq_wkly.csv ├── StockMarketLinearRegression ├── AccelerationMomentumPricePredictions.py ├── GoldLinearRegression.py ├── GoldRegression.png ├── Gold_Predictions_2018.png ├── LinearRegression.png ├── LinearRegression.py ├── LinearRegression_Change.png ├── LinearRegression_Change.py ├── LogisticRegression_Classifier.py ├── NasdaqLinearRegression.py ├── NasdaqRegression.png ├── Nasdaq_Predictions_2018.png ├── OLS_vs_BayesianRegression.png ├── OLS_vs_BayesianRegression.py ├── PredictGold.py └── PredictNasdaq.py ├── StockMarketMovingAverage ├── 50_best_worst_trading_days.png ├── ARIMA.png ├── ARMA_ARIMA.py ├── Clean_DIA.py ├── DJA.csv ├── DJIA_MA_vs_BuyHold.png ├── MACD.py ├── MovingAvg.py ├── MovingAvgLongShort.py ├── NASDAQ_MA_vs_BuyHold.png ├── S&P.csv ├── S&P_MA_vs_BuyHold.png └── nasdaq.csv ├── StockMarketTimeSeriesAnomalies ├── BullBearHistograms.png ├── FindInflectionPoints.py ├── FindPatterns.py ├── FindPatterns1.png ├── FindPatterns2.png ├── FindStockIndexInflections.png ├── Inflection_dates_nasdaq.png ├── NASDAQ Anomalies.py ├── PlotBullBearMarkets.py ├── PredictPeaks.py ├── RecentBullBear.png ├── TimeSeriesAnomalies.py ├── TimeSeriesAnomalies_LogStationary.png ├── TimeSeriesAnomlies_FFTCycles.png ├── TimeSeriesAnonalies_Monthly.png ├── YearlyReturnsHistograms.py ├── inflectionDates.csv └── nasdaq_anomalies.png ├── TechnicalTrading ├── ComplexTrends.py ├── ComplexTrendsOutput.txt ├── MassIndex.png ├── MassIndex.py ├── SupportResistanceTrading.png ├── SupportResistanceTrading.py ├── Trends.py └── TrendsResults.txt ├── TimeSeriesAnomalies.py ├── TimeSeriesAnomalies_LogStationary.png ├── 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