├── .gitignore ├── .vscode ├── settings.json └── snip.code-snippets ├── Autoregression.ipynb ├── Backtrader examples ├── .ipynb_checkpoints │ └── interactive_ta_dashboard-checkpoint.ipynb ├── backtrader_bollinger_bands_strategy.py ├── backtrader_rsi_strategy.py ├── backtrader_sma_signal.py ├── backtrader_sma_strategy.py ├── backtrader_sma_strategy_optimization.py ├── interactive_ta_dashboard.ipynb ├── sector-momentum.py └── stop-loss-for-stocks │ ├── README.md │ ├── equities-stop-loss.py │ ├── sector-stop-loss.py │ └── sp500-stop-loss.py ├── Check ├── Building an Algorithmic Trading Platform.ipynb ├── Event-Driven Trading Engine Implementation in Python QuantStart Book 1.pdf ├── Implementing a Backtesting System.ipynb ├── Machine Learning for Finance.ipynb ├── Oanda_firststeps │ ├── FXCM_firststeps │ │ ├── FXCM.cfg │ │ └── FXCM.ipynb │ ├── Oanda_firststeps │ │ ├── Oanda_firststeps.ipynb │ │ └── oanda.cfg │ ├── Part2_Materials │ │ ├── Exercises │ │ │ ├── Exercise_1.ipynb │ │ │ ├── Exercise_2.ipynb │ │ │ ├── Exercise_3.ipynb │ │ │ ├── aapl_fb.csv │ │ │ └── us_stocks.csv │ │ └── Video_Lecture_NBs │ │ │ ├── FinancialInstrument.py │ │ │ ├── GE_prices.csv │ │ │ ├── NB_01_TimeSeries_Intro.ipynb │ │ │ ├── NB_02_Financial_Data_Analysis.ipynb │ │ │ ├── NB_03_Advanced_Topics.ipynb │ │ │ ├── NB_04_OOP.ipynb │ │ │ ├── New_NB.ipynb │ │ │ ├── SP500.csv │ │ │ ├── SP500.xls │ │ │ ├── SP500_red.xls │ │ │ ├── stocks.csv │ │ │ ├── temp.csv │ │ │ └── titanic.csv │ ├── Part3_Materials │ │ ├── ConBacktester.py │ │ ├── IterativeBacktest.py │ │ ├── IterativeBase.py │ │ ├── MLBacktester.py │ │ ├── MeanRevBacktester.py │ │ ├── NB_01_SMA.ipynb │ │ ├── NB_02_SMABacktester.ipynb │ │ ├── NB_03_Contrarian.ipynb │ │ ├── NB_04_Contrarian_Backtester.ipynb │ │ ├── NB_05_Mean_Reversion.ipynb │ │ ├── NB_06_MeanRevBacktester.ipynb │ │ ├── NB_07_Regression.ipynb │ │ ├── NB_08_Classification.ipynb │ │ ├── NB_09_MLBacktester.ipynb │ │ ├── NB_10_IterativeBacktesting.ipynb │ │ ├── SMABacktester.py │ │ ├── detailed.csv │ │ ├── eurusd.csv │ │ ├── five_minute.csv │ │ ├── five_minute_pairs.csv │ │ ├── forex_pairs.csv │ │ ├── intraday.csv │ │ ├── intraday_pairs.csv │ │ └── test_set.csv │ ├── Part4_Materials │ │ ├── FXCM │ │ │ ├── FXCM.cfg │ │ │ ├── Implementation_FXCM.ipynb │ │ │ ├── five_minute.csv │ │ │ └── trader.py │ │ └── Oanda │ │ │ ├── Oanda_implementation.ipynb │ │ │ ├── five_minute.csv │ │ │ ├── oanda.cfg │ │ │ └── trader.py │ └── Part5_Materials │ │ ├── DNNModel.py │ │ ├── DNN_data.csv │ │ ├── FXCM.cfg │ │ ├── MeanRevBacktester.py │ │ ├── NB_01_Trading_Costs.ipynb │ │ ├── NB_02_Many_Strategies.ipynb │ │ ├── NB_03_Deep_Learning.ipynb │ │ ├── SMABacktester.py │ │ ├── bid_ask.csv │ │ ├── oanda.cfg │ │ └── twenty_minutes.csv ├── Overview of Financial Analysis with Python.ipynb ├── Statistical Analysis of Time Series Data.ipynb ├── Trade Flows.ipynb ├── examples with quandl data.ipynb └── hilpisch_transform_to_py.pdf ├── Create_SQL_DB_for_trading_orders.py ├── Email_top_movers_&_stock_alert.py ├── Event-driven backtesting.ipynb ├── Example_of_processing_tick data ├── 01_NASDAQ_TotalView-ITCH_Order_Book │ ├── 01_parse_itch_order_flow_messages.ipynb │ ├── 02_rebuild_nasdaq_order_book.ipynb │ ├── 03_normalize_tick_data.ipynb │ ├── README.md │ └── message_types.xlsx ├── GAIN_tick_from_zip_to_csv.py ├── LOBSTER │ ├── 02_lobster_itch_data.ipynb │ └── 02_lobster_itch_data.py ├── Netfonds_tick_and_processing │ ├── file_access.py │ ├── net_fonds.py │ ├── tick_data_analysis.py │ ├── tick_data_analysis_main.py │ └── time_dmy_state.py ├── Proce_tickdata_FastFourierTransf(FFTs).cpp ├── bytespec.py ├── marketflow │ └── marketflow │ │ ├── ITCHbin.py │ │ ├── __init__.py │ │ ├── clean_dsenames.py │ │ ├── download.py │ │ ├── dsf_with_sic.py │ │ ├── hdf5.py │ │ ├── merge_py │ │ ├── .ipynb_checkpoints │ │ │ ├── clean_dsenames-checkpoint.ipynb │ │ │ └── dsf_sic_merge-checkpoint.ipynb │ │ ├── clean_dsenames.ipynb │ │ └── dsf_sic_merge.ipynb │ │ ├── processing.py │ │ ├── raw_taq.py │ │ ├── test-data │ │ ├── small_test_data_public.h5 │ │ └── small_test_data_public.zip │ │ ├── tests │ │ ├── Basic HDF5 Operations.ipynb │ │ ├── test_processing.py │ │ ├── test_taq.ini │ │ └── test_taq.py │ │ ├── utility.py │ │ └── utils │ │ └── generate_test_data.py ├── process.py ├── readme.md ├── run.py ├── stream_and_plot_Hilp_ch7.py ├── test_modin.py ├── tick_2_bar_and_VWAP.py ├── tick_2_sec.py └── tickdata_cleaning_with_NBBO.py ├── FINRA_shorts.py ├── FX_backtest_proj_from_histdata ├── account.py ├── backtest.py ├── config.py ├── historical.py ├── strategy.py └── trade.py ├── Forex_Margin_Calculator.py ├── Gettex_US.csv ├── Hilp_AI_in_Fin ├── DNN_daily_strat_ch10.py ├── DNN_intrday_strat_ch10 copy.py └── simple_SMA_strat_ch10.py ├── IB ├── IB.md ├── IB_example.py ├── __init__.py ├── ibCapitalData.py ├── ibClient.py ├── ibConfigFutures.csv ├── ibConfigSpotFX.csv ├── ibConnection.py ├── ibFuturesContractPriceData.py ├── ibServer.py ├── ibSpotFXData.py ├── ib_execution.py ├── ib_intraday.py ├── ib_original │ ├── __init__.py │ ├── ibClient.py │ ├── ibConnection.py │ └── ibServer.py └── interactive_brokers_market_data.py ├── MLBook_Lopez ├── Chapter3_Labeling.py ├── Deflated Sharpe Ratio De Prado │ ├── README.md │ └── deflated_sharpe_ratio.py ├── HRP │ ├── HRP.py │ ├── HRP_prado_orig.py │ ├── Hierarchical Clustering.ipynb │ ├── Machine Learning Asset Allocation.pdf │ ├── hierarchical_risk_parity.ipynb │ └── pricing.csv ├── __init__.py ├── backtesting.py ├── bars-labels-diff │ ├── Differentiation.ipynb │ ├── Features analysis.ipynb │ ├── Labeling.ipynb │ ├── Normal_bars.ipynb │ ├── Training Fractional.ipynb │ ├── Training.ipynb │ ├── bars.py │ └── tick_bars.csv ├── cross_validation.py ├── data_process.py ├── extract.xlsx ├── feature_importance │ ├── Time Series Feature Importance.ipynb │ ├── test.txt │ └── utils.py ├── frac_diff_features.py ├── labeling.py ├── mpEngine.py ├── util.py └── volume_bars.py ├── Monte Carlo backtest.py ├── Montecarlo.py ├── News_Sentiment ├── News API - Getting BBC news articles.ipynb ├── News_API.py ├── __init__.py ├── cnbc_scrapper_with_autorun │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── items.cpython-36.pyc │ │ ├── pipelines.cpython-36.pyc │ │ └── settings.cpython-36.pyc │ ├── cnbc_auto_run.py │ ├── items.py │ ├── middlewares.py │ ├── pipelines.py │ ├── settings.py │ └── spiders │ │ ├── __init__.py │ │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── homepage.cpython-36.pyc │ │ └── markets.cpython-36.pyc │ │ ├── homepage.py │ │ └── markets.py ├── cnn_scrapper_with_autorun │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── items.cpython-36.pyc │ │ ├── pipelines.cpython-36.pyc │ │ └── settings.cpython-36.pyc │ ├── instructions │ ├── items.py │ ├── middlewares.py │ ├── pipelines.py │ ├── settings.py │ └── spiders │ │ ├── Money.py │ │ ├── Plans │ │ ├── __init__.py │ │ ├── __pycache__ │ │ ├── Money.cpython-36.pyc │ │ ├── US_homepage.cpython-36.pyc │ │ ├── __init__.cpython-36.pyc │ │ ├── homepage.cpython-36.pyc │ │ ├── money_company.cpython-36.pyc │ │ ├── money_tech.cpython-36.pyc │ │ └── tech.cpython-36.pyc │ │ ├── homepage.py │ │ └── tech.py ├── config.json ├── reddit.py ├── reuters_scrapper_with_autorun │ ├── .vscode │ │ └── launch.json │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── items.cpython-36.pyc │ │ ├── pipelines.cpython-36.pyc │ │ └── settings.cpython-36.pyc │ ├── items.py │ ├── middlewares.py │ ├── pipelines.py │ ├── reuters_auto_scrape.py │ ├── settings.py │ └── spiders │ │ ├── __init__.py │ │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ └── homepage.cpython-36.pyc │ │ └── homepage.py ├── sentiment.py ├── sentiment_Stock.py ├── sentiment_Stock_twitter.py ├── sentiment_Stock_twitter2.py └── twitter.py ├── Nordnet_sql_database.py ├── Quandl_futures_parsing.py ├── Quotes_analysis.py ├── README.md ├── Small_forest_ML.py ├── Strategies ├── Mean Reversion with UPSTOX API.py ├── Mean reversion.ipynb ├── Pair trading backtest.py ├── Pairs Trading.ipynb ├── Pairs+Trading+with+Machine+Learning.ipynb ├── Shooting Star backtest.py ├── Turtles.py └── crossover strategies with zipline.ipynb ├── Technical_Indicators ├── EMA.py ├── EMA_volume.py ├── EWMA.py ├── EWMA_Double.py ├── EWMA_Triple.py ├── GANN_lines_angles.py ├── GMMA.py ├── KAMA.py ├── KST.py ├── MACD.py ├── MAD.py ├── MA_high_low.py ├── MFI.py ├── NATR.py ├── NVI.py ├── NVI2.py ├── PGO.py ├── PMO.py ├── PVI.py ├── PVT.py ├── Qstick.py ├── ROC.py ├── ROC100.py ├── ROC2.py ├── ROCP.py ├── ROCR.py ├── ROI.py ├── RSI.py ├── RSI2.py ├── RSI_BollingerBands.py ├── SMA.py ├── SMMA.py ├── T3_moving_average.py ├── TEMA.py ├── TRIMA.py ├── TRIX.py ├── TWAP.py ├── Tenkan_Sen.py ├── Tirone_Levels.py ├── VAO.py ├── VPT.py ├── VWAP.py ├── WMA.py ├── WSMA.py ├── WWS.py ├── WilliamR.py ├── ZLEMA.py ├── Z_Score_Indicator.py ├── ZigZag.py ├── absolute_price_oscillator.py ├── acceleration_bands.py ├── accum_dist_line.py ├── aroon.py ├── aroon_oscillator.py ├── avg_directional_index.py ├── avg_directional_mvmt_rating.py ├── avg_true_range.py ├── b_indicator.py ├── balance_of_power.py ├── beta_indicator.py ├── bollinger_bands.py ├── bollinger_bandwidth.py ├── breadth_indicator.py ├── candle_abs_returns.py ├── central_pivot_range_cpr.py ├── chaikin_money_flow.py ├── chaikin_oscillator.py ├── chandelier_exit.py ├── close_location_value.py ├── commodity_channel_index.py ├── coppock_curve.py ├── correlation_coeff.py ├── covariance.py ├── detrended_price_oscillator.py ├── donchain_channel.py ├── double_exp_moving_avg.py ├── dynamic_momentum_index.py ├── ease_of_movement.py ├── effeciency_ratio.py ├── elder_force_index.py ├── elder_ray_index.py ├── extended_market.py ├── force_index.py ├── gator_oscillator.py ├── geometric_return_indicator.py ├── golden_death_cross.py ├── heiken_ashi.py ├── high_minus_low.py ├── hull_moving_average.py ├── ichimoku.py ├── inverse_fisher_transform.py ├── keltners_channels.py ├── kijun_sen.py ├── linear_regression.py ├── linear_regression_slope.py ├── linear_weighted_moving_average.py ├── logarithmic_return_indicator.py ├── martin_pring_special_k.py ├── maximum_price.py ├── mcclellan_oscillator.py ├── median_price.py ├── minimum_price.py ├── momentum.py ├── momentum2.py ├── moving_average_envelopes.py ├── moving_average_high_low.py ├── moving_average_ribbon.py ├── moving_avg_env.py ├── moving_correlation_coefficient.py ├── moving_covariance.py ├── moving_dispersion.py ├── moving_linear_regression.py ├── moving_maximum.py ├── moving_median.py ├── moving_minimum.py ├── moving_standard_deviation.py ├── moving_standard_error.py ├── moving_summation.py ├── new_highs_new_lows.py ├── pivot_point.py ├── price_channels.py ├── price_relative.py ├── rainbow_charts.py ├── realised_volatility.py ├── relative_volatility_index.py ├── smoothed_moving_average.py ├── speed_resistance_lines.py ├── standard_deviation_volatility.py ├── stochastic_RSI.py ├── stochastic_fast.py ├── stochastic_full.py ├── stochastic_slow.py ├── super_trend.py ├── true_strength_index.py ├── typical_price.py ├── ulcer_index.py ├── ultimate_oscillator.py ├── variance_indicator.py ├── volume_price_confirmation_Indicator.py ├── volume_weighted_moving_average.py └── vortex_indicator.py ├── UnusualVolumeDetector.py ├── Zorro_content.xlsx ├── Zorro_related ├── AssetsOanda.csv ├── Available_data.py ├── FXCM_GAPs.xlsx ├── FXCM_available_instruments.py ├── Weekend_gap.py ├── Zorro_manual.py └── oanda_available_instruments.py ├── __pycache__ ├── keys_config.cpython-310.pyc ├── keys_config.cpython-38.pyc ├── keys_config.cpython-39.pyc └── lemon_universes.cpython-39.pyc ├── alpha_factor_research_Jansen └── Factors research description.pdf ├── cADF.py ├── data ├── 1Forge_FX_and_matrix.py ├── AV Connectior │ ├── AV_adj_price_sectors.py │ ├── AV_data.py │ ├── AlphaVantageInterface.py │ ├── AlphaVantageWrapper.py │ ├── StockPriceGetter (1).py │ ├── StockPriceGetter.py │ ├── TaskThread (1).py │ ├── TaskThread.py │ ├── Utils (1).py │ ├── Utils.py │ ├── alpha_vantage.py │ ├── alpha_vantage │ │ ├── __init__.py │ │ ├── alphavantage.py │ │ ├── cryptocurrencies.py │ │ ├── examples │ │ │ └── examples.ipynb │ │ ├── foreignexchange.py │ │ ├── sectorperformance.py │ │ ├── setup.py │ │ ├── techindicators.py │ │ ├── test_alphavantage.py │ │ └── timeseries.py │ ├── alpha_vantage_historical_market_data.py │ ├── config (1).json │ └── config.json ├── Ally_API_Cheat_Sheet.ipynb ├── Calendar │ ├── Economic_Event_Twilio_Notific.py │ ├── calendar_snips.py │ ├── events_from_DailyFX.py │ ├── events_from_Forexfactory.py │ ├── marketsession.py │ └── tradingcalendar.py ├── ETF │ ├── ETF_constitutes.py │ ├── ETF_dot_com.py │ ├── ETF_dot_com_scrapper.py │ ├── ETF_lists.py │ ├── ETF_portfolio_scrap.py │ ├── Index_and_ETFs_Constitutes.R │ ├── Parsing_ETFDB_website.R │ ├── iShares_ETF_composites.py │ ├── yh_ETF_update copy.py │ └── yh_ETF_update.py ├── ETF_from_Nasdaq.py ├── FMP.gdoc ├── FX_CFD │ ├── 1Forge_FX_and_matrix.py │ ├── Darwinex │ │ ├── Darwinex_api.py │ │ ├── dwx_ftp.py │ │ └── prices_dwx_ticks.ipynb │ ├── Duka │ │ ├── DUKA_2_CSV.py │ │ ├── dukascopy_file_historical_market_data.py │ │ └── tick_from_duka.py │ ├── FXCM │ │ ├── FXCM REST API.ipynb │ │ ├── FXCM.py │ │ ├── FXCM_instruments.py │ │ ├── FXCM_tick_FX_to_HDFL5.py │ │ └── FXCM_tickdata_download.py │ ├── FX_from_RATESAPI.py │ ├── GAIN_Tick_2_Mongo │ │ ├── 1. downloader.py │ │ ├── 2. inserter.py │ │ ├── 3. reader.py │ │ ├── FX_from_GAIN.py │ │ └── README.md │ ├── Oanda │ │ ├── AssetsOanda.csv │ │ ├── Data_and Account_Oanda.py │ │ ├── Oanda_Conn.py │ │ ├── Oanda_get_parallel_and_clean.py │ │ ├── Oanda_requests.py │ │ ├── oanda_available_instruments.py │ │ ├── oanda_hilp.py │ │ ├── oanda_historical_market_data.py │ │ └── pyalgo.cfg │ ├── Quandl_historical_fx.py │ ├── XTB │ │ ├── XTB_client │ │ │ ├── __init__.py │ │ │ ├── constants.py │ │ │ ├── models.py │ │ │ ├── readme.md │ │ │ ├── settings.py │ │ │ └── xtb_client.py │ │ ├── XTB_fxbot.py │ │ ├── _private │ │ │ └── indicators.py.sample │ │ ├── api.py │ │ ├── settings.py │ │ ├── utils.py │ │ ├── writer.py │ │ ├── xAPIConnector.py │ │ └── xtb_api.py │ ├── histdata_FX_1M │ │ ├── FX_from_histdata.py │ │ ├── README.md │ │ ├── convert_est_to_target_time.py │ │ ├── download_all_fx_data.py │ │ ├── histdata.bat │ │ ├── histdata.py │ │ ├── histdata │ │ │ ├── __init__.py │ │ │ └── api.py │ │ ├── pairs.csv │ │ └── utils │ │ │ └── extract_pair_and_first_month_of_trading.py │ └── truefx_downloader │ │ ├── get_data_for_year_in_csv.py │ │ ├── truefx_downloader.py │ │ └── truefx_to_Arctic.py ├── FX_from_RATESAPI.py ├── FX_from_histdata.py ├── FinStatmts_Stockrow.py ├── Finnhub │ ├── Earn_Finnh.bat │ ├── Earn_calend_upd.py │ ├── Earnings_calendar.csv │ ├── __pycache__ │ │ ├── FinnHub_2.cpython-37.pyc │ │ ├── FinnHub_3.cpython-37.pyc │ │ └── finnhub.cpython-37.pyc │ ├── check_metricx.csv │ ├── finnhub │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── __init__.cpython-38.pyc │ │ │ ├── client.cpython-37.pyc │ │ │ └── exceptions.cpython-37.pyc │ │ ├── client.py │ │ └── exceptions.py │ ├── main.py │ ├── metrics.csv │ ├── real_time.py │ └── test_Py_Anyw.py ├── Google_Minute_to_Mongo.py ├── Gov_interest_rates.py ├── IEX │ ├── IEX_intraday_OHLC.py │ ├── config.py │ ├── iex.py │ └── play_with_IEX.py ├── IEX_intraday_OHLC.py ├── Industry_exposure_using_Fidelity.py ├── Intrinio │ ├── intrinio.py │ └── intriniowrapper.py ├── NASDAQ_PRE_and_AFTERMARKET_scrap.py ├── Netfonds_tick_and_processing │ ├── 02_earnings_calls │ │ ├── README.md │ │ ├── check_data.py │ │ ├── sa_selenium.py │ │ └── scrape_test.py │ ├── AV_data.py │ ├── Netfonds.py │ ├── Netfonds_2 │ │ ├── Netfonds_Ticker_List.py │ │ ├── README.md │ │ ├── SPX.20140421.txt │ │ ├── check_error_file.py │ │ ├── compress_data_parallel.py │ │ ├── get_lists.py │ │ ├── pull_tick_data_parallel.py │ │ ├── tick_data_combine_dates_hdf_parallel.py │ │ └── zipped_data_to_hdf.py │ ├── Netfonds_another copy.py │ ├── Netfonds_another.py │ ├── Netfonds_realtime_quotes.py │ ├── News_Netfonds.py │ ├── file_access.py │ ├── net_fonds.py │ ├── tick_data_analysis.py │ ├── tick_data_analysis_main.py │ └── time_dmy_state.py ├── Polygon.py ├── Quandl │ ├── ContinuousFuturesContract_ProblemDescripion_and_Solution.txt │ ├── Email_quandl_quotes.py │ ├── Futures │ │ └── ES │ │ │ ├── ESH2010.csv │ │ │ ├── ESH2011.csv │ │ │ ├── ESH2012.csv │ │ │ ├── ESH2013.csv │ │ │ ├── ESH2014.csv │ │ │ ├── ESM2010.csv │ │ │ ├── ESM2011.csv │ │ │ ├── ESM2012.csv │ │ │ ├── ESM2013.csv │ │ │ ├── ESM2014.csv │ │ │ ├── ESU2010.csv │ │ │ ├── ESU2011.csv │ │ │ ├── ESU2012.csv │ │ │ ├── ESU2013.csv │ │ │ ├── ESU2014.csv │ │ │ ├── ESZ2010.csv │ │ │ ├── ESZ2011.csv │ │ │ ├── ESZ2012.csv │ │ │ ├── ESZ2013.csv │ │ │ └── ESZ2014.csv │ ├── Quandl_2_MySQL.py │ ├── Quandl_Portfolio.py │ ├── Quandl_data_tickers_sql.py │ ├── Quandl_historical_fx.py │ ├── Quandl_metadata.py │ ├── Quandl_quotes.py │ ├── Quandl_to_Email │ │ ├── Readme.md │ │ ├── list_stocks.py │ │ ├── mailer.py │ │ ├── rules.json │ │ ├── stock_alert_formatter.py │ │ ├── stock_alert_rule_processor.py │ │ └── stock_alerter.py │ ├── Quandl_to_SQL_schema_and_scheduler │ │ ├── README.md │ │ ├── daily_scheduler.py │ │ ├── data_ingest.py │ │ └── data_interfaces.py │ ├── api.py │ ├── download_data.py │ ├── perpetualSeries_ContinuousFuturesContractModel.py │ └── quandl_Python_ContractsDownload.py ├── Quantopian │ └── zipline_example.py ├── Shorts_on_Xetra.py ├── Tiingo │ ├── Tiingo_data (1).py │ ├── Tiingo_data.py │ ├── Tiingo_data_2 (1).py │ ├── Tiingo_data_2.py │ ├── Tiingo_data_3 (1).py │ ├── Tiingo_data_3.py │ ├── Tiingo_data_and_tickers (1).py │ ├── Tiingo_data_and_tickers.py │ ├── Tiingo_data_multithreading (1).py │ ├── Tiingo_data_multithreading.py │ ├── Tiingo_intraday.py │ ├── tiingo (1).py │ └── tiingo.py ├── Tkrs_metadata │ ├── All_FX_FINNHUB.csv │ ├── Bloomberg_FIGI.py │ ├── CSI_tickers.py │ ├── Country_Curr │ │ ├── Countries.xlsx │ │ ├── Country_Currency_mapping.csv │ │ ├── Industry_Classification_Bench.csv │ │ ├── _CountryCode.csv │ │ ├── _CurrencyCode.csv │ │ ├── _ExchangeCode.csv │ │ ├── econ_tickers.xlsm │ │ └── iso_country_mapping.csv │ ├── Economic_Event_Twilio_Notific.py │ ├── Industry_exposure_using_Fidelity.py │ ├── Isin_to_Ticker.py │ ├── Metadata_futures (1).py │ ├── Metadata_futures.py │ ├── Morningstar_ETF_Scraper.py │ ├── NASDAQ_OMX_INDEXES_R_Code.docx │ ├── Nasdaq_Indexes.R │ ├── RATESAPI_currencies.json │ ├── Tkrs │ │ ├── AllTypes.csv │ │ ├── All_tickers_from_main_X_FinnHub.csv │ │ ├── ETF │ │ │ ├── ETF-ETP-Statistic.xlsx │ │ │ ├── ETFDB.xlsx │ │ │ ├── ETF_dot_com.py │ │ │ ├── ETF_dot_com_scrapper.py │ │ │ ├── ETF_lists.py │ │ │ ├── ETFconstitutes │ │ │ │ ├── ETF_constitutes.py │ │ │ │ ├── ETF_portfolio_scrap.py │ │ │ │ └── Index_and_ETFs_Constitutes.R │ │ │ ├── Morningstar_ETF_Scraper.py │ │ │ ├── Parsing_ETFDB_website.R │ │ │ └── iShares_UCITS_holdings_18-11-2020.xlsx │ │ ├── ETFDB.csv │ │ ├── German_tickers_FinnHub.csv │ │ ├── Isin_to_Ticker.py │ │ ├── NASDAQ100.txt │ │ ├── Nasdaq_Indexes.R │ │ ├── SP500.txt │ │ ├── SP500TickersBySector.py │ │ ├── SP500_consitutes_surviv_free.csv │ │ ├── US_Tickers.R │ │ ├── exchange_symbol_map.json │ │ ├── full_stocklist_xml.xml │ │ ├── product_screener_us.csv │ │ ├── stockfactsheet.csv │ │ ├── survivorship_free_sp500.py │ │ ├── tickers.py │ │ ├── xml_to_csv.py │ │ └── yahoo_stocklist.csv │ ├── assets.txt │ ├── dividend.py │ ├── earnings_dates.py │ ├── exchanges.csv │ ├── futures (1).py │ ├── futures.py │ ├── hours.txt │ ├── indices.txt │ ├── itrade_isin (1).py │ ├── itrade_isin.py │ ├── itrade_market (1).py │ ├── itrade_market.py │ ├── marketsession (1).py │ ├── marketsession.py │ ├── metadata.py │ ├── optionable_stocks.py │ ├── split.py │ ├── splits_dividends.py │ ├── stock_split_calendar (1).py │ ├── stock_split_calendar.py │ ├── tickers.py │ ├── tradingcalendar (1).py │ ├── tradingcalendar.py │ └── yahoodoc.txt ├── Tradier_data_ quotes_financials_indicators │ ├── README.md │ ├── alert_me.py │ ├── algorithm.py │ ├── analysis.py │ ├── config.py │ ├── stocks.py │ └── tox.ini ├── WRDS │ ├── README.md │ ├── WRDSWrapper.py │ ├── build_data.py │ ├── gvkey-hist.dat │ ├── requirements.txt │ └── wrds_data_processing.py ├── Yh_Finnhub_FMP_quotes.py ├── Yh_Finnhub_FMP_stocks.py ├── barchart_intraday.py ├── bats_shortened.py ├── benzinga_movers_scrap.py ├── corporate │ ├── div_from_eodhistoricaldata.py │ ├── dividend.py │ ├── dividend_calend.py │ ├── dividend_yhoo.py │ ├── insider_selling.py │ ├── split.py │ ├── splits_dividends.py │ ├── stock_split_calendar.py │ └── suprise_earn_est.py ├── corporate_financials │ ├── Earnings │ │ ├── earnings.py │ │ ├── earnings_dates.py │ │ └── yh_earn_calend.py │ ├── FinStatmts_Stockrow.py │ ├── __init__.py │ ├── barchart_financials.py │ ├── financials_marketwatch.py │ ├── scraping_morningstar │ │ ├── APPB_sample.json │ │ ├── BJRI_sample.json │ │ ├── CAKE_sample.json │ │ ├── CHIL_sample.json │ │ ├── README.md │ │ ├── RRGB_sample.json │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ └── good_morning.cpython-36.pyc │ │ ├── empty_keep.txt │ │ ├── financials_morningstar.py │ │ ├── good_download.py │ │ ├── good_morning.py │ │ ├── jscraper.py │ │ ├── jscraper.pyc │ │ ├── morningstar_fundamental_calculator.py │ │ ├── morningstar_fundamental_data.py │ │ └── morningstarscraper.py │ ├── sec_edgar_Jansen │ │ ├── README.md │ │ ├── edgar_xbrl.ipynb │ │ └── edgar_xbrl.py │ └── tradingeconomics_fundamental_data.py ├── earnings.py ├── eikon.py ├── eodhistoricaldata_dot_com.py ├── financials │ ├── Data_from_EDGAR.ipynb │ ├── FinStatmts_Stockrow.py │ ├── Fin_ratios.py │ ├── News │ │ ├── News_Netfonds.py │ │ └── News_Seekingalpha │ │ │ ├── README.md │ │ │ ├── check_data.py │ │ │ ├── sa_selenium.py │ │ │ └── scrape_test.py │ ├── __init__.py │ ├── barchart_financials.py │ ├── earnings.py │ ├── earnings_dates.py │ ├── excel_ratio_data_importer.py │ ├── financials_marketwatch.py │ ├── fundamental_data.py │ ├── quandl_MF1_fundamental_data.py │ ├── quandl_fundamental_calculator.py │ ├── quandl_fundamental_data.py │ ├── quandl_fundamental_data_csv.py │ ├── scraping_morningstar │ │ ├── APPB_sample.json │ │ ├── BJRI_sample.json │ │ ├── CAKE_sample.json │ │ ├── CHIL_sample.json │ │ ├── README.md │ │ ├── RRGB_sample.json │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ └── good_morning.cpython-36.pyc │ │ ├── empty_keep.txt │ │ ├── financials_morningstar.py │ │ ├── good_download.py │ │ ├── good_morning.py │ │ ├── jscraper.py │ │ ├── jscraper.pyc │ │ ├── morningstar_fundamental_calculator.py │ │ ├── morningstar_fundamental_data.py │ │ └── morningstarscraper.py │ ├── script.py │ ├── sec_edgar_Jansen │ │ ├── README.md │ │ ├── edgar_xbrl.ipynb │ │ └── edgar_xbrl.py │ └── tradingeconomics_fundamental_data.py ├── finviz │ ├── Example_FinViz_scraping_to_DB.py │ ├── FV_scrap_with_RegEx.py │ ├── Finviz_Scrape_Examples.py │ ├── Fundametals_from_Finviz.py │ ├── KeyStats_and_Comp_info.py │ ├── Parallel_scrape_finviz_SP500.py │ ├── finviz_growth.py │ ├── finviz_home_scraper.py │ ├── finviz_insider_trades.py │ ├── finviz_news.py │ ├── finviz_news_parser.py │ ├── finviz_parser.py │ ├── finviz_scrap_2.py │ └── scrap_finviz.py ├── fmpsdk_update.py ├── fred │ ├── __init__.py │ ├── data.py │ └── fred_query.py ├── insider_selling.py ├── iqfeed │ ├── __init__.py │ ├── bar_util.py │ ├── consts.py │ ├── download.py │ ├── dtnIQFeed.py │ ├── filters.py │ ├── iqfeed_bar_data_provider.py │ ├── iqfeed_client.py │ ├── iqfeed_history_provider.py │ ├── iqfeed_level_1_provider.py │ ├── iqfeed_news_provider.py │ ├── minutedatahandler.py │ └── util.py ├── itrade access to different borse │ ├── README │ ├── extensions.txt │ ├── itrade_import_abcbourse.py │ ├── itrade_import_euronext.py │ ├── itrade_import_euronext_bonds.py │ ├── itrade_import_yahoo.py │ ├── itrade_import_yahoo_japan.py │ ├── itrade_liveupdate_abcbourse.py │ ├── itrade_liveupdate_euronext.py │ ├── itrade_liveupdate_euronext_bonds.py │ ├── itrade_liveupdate_fortuneo.py │ ├── itrade_liveupdate_realtime.py │ ├── itrade_liveupdate_yahoo.py │ ├── itrade_liveupdate_yahoo_japan.py │ ├── itrade_login_boursorama.py │ ├── itrade_login_fortuneo.py │ ├── itrade_quotes_asx.py │ ├── itrade_quotes_barchart.py │ ├── itrade_quotes_bombay.py │ ├── itrade_quotes_buenos-aires.py │ ├── itrade_quotes_euronext.py │ ├── itrade_quotes_hong-kong.py │ ├── itrade_quotes_ie.py │ ├── itrade_quotes_krx.py │ ├── itrade_quotes_lse.py │ ├── itrade_quotes_madrid.py │ ├── itrade_quotes_mexico.py │ ├── itrade_quotes_milan.py │ ├── itrade_quotes_nasdaq.py │ ├── itrade_quotes_nse.py │ ├── itrade_quotes_nyse.py │ ├── itrade_quotes_nze.py │ ├── itrade_quotes_omx.py │ ├── itrade_quotes_oslo.py │ ├── itrade_quotes_otcbb.py │ ├── itrade_quotes_sao-paulo.py │ ├── itrade_quotes_shanghai.py │ ├── itrade_quotes_shenzhen.py │ ├── itrade_quotes_singapore.py │ ├── itrade_quotes_swx.py │ ├── itrade_quotes_tokyo.py │ ├── itrade_quotes_vienna.py │ └── itrade_quotes_xetra.py ├── nasdaq_short.py ├── pytreasurydirect_CUSIP.py ├── scrap_snips.py ├── scrapping projects │ ├── Data_from_EDGAR.ipynb │ ├── ETF_Data_Scraper.py │ ├── ETF_dot_com_scrapper.py │ ├── ETF_portfolio_scrap.py │ ├── HongKongStock_scrape │ │ ├── HongKongStock │ │ │ ├── SQLManager.py │ │ │ ├── __init__.py │ │ │ ├── items.py │ │ │ ├── pipelines.py │ │ │ ├── settings.py │ │ │ └── spiders │ │ │ │ ├── CashStkSpider.py │ │ │ │ ├── ShortSellingSpider.py │ │ │ │ ├── SpecificStockSpider.py │ │ │ │ └── __init__.py │ │ ├── bootstrap.py │ │ ├── crontab.sh │ │ ├── requirements.txt │ │ └── scrapy.cfg │ ├── Scrap_American_Banker_plus_Autorun │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ ├── items.cpython-36.pyc │ │ │ ├── pipelines.cpython-36.pyc │ │ │ └── settings.cpython-36.pyc │ │ ├── ambnk_auto_scrape.py │ │ ├── items.py │ │ ├── middlewares.py │ │ ├── pipelines.py │ │ ├── scrapy.cfg │ │ ├── settings.py │ │ └── spiders │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ └── main.cpython-36.pyc │ │ │ └── main.py │ ├── Scrap_LSE_fundamentals.py │ ├── Scraping_nordic_exchanges │ │ ├── borsdata_nordic_2019.csv │ │ ├── crawl_borsdata.py │ │ ├── crawl_nordnet.py │ │ ├── data_nordnet_2019-01-16.csv │ │ ├── data_nordnet_2019-01-27.csv │ │ ├── omx_tickers_nordnet.csv │ │ └── oslo_tickers_nordnet.csv │ ├── Vanguard_Wisdomtree.py │ ├── barchart_financials.py │ ├── benzinga_movers.py │ ├── dividend_calend.py │ ├── finviz │ │ ├── Example_FinViz_scraping_to_DB.py │ │ ├── FV_scrap_with_RegEx.py │ │ ├── Finviz_Scrape_Examples.py │ │ ├── Fundametals_from_Finviz.py │ │ ├── KeyStats_and_Comp_info.py │ │ ├── Parallel_scrape_finviz_SP500.py │ │ ├── finviz_news.py │ │ └── scrap_finviz.py │ ├── scrap_Wiki_indexes.py │ ├── scrap_nasdaq.py │ ├── scrap_stockmarketwatch.py │ ├── suprise_earn_est.py │ └── 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