Learn Computer and Data Science using Algorithmic Trading

aml_collect_data | Function to read, transform, aggregate and save data for... |

aml_consolidate_results | Function to consolidate model test results |

aml_make_model | Function to train Deep Learning regression model for a single... |

aml_score_data | Function to score new data and predict change for each single... |

aml_simulation | Function to simulate multiple input structures |

aml_test_model | Function to test the model and conditionally decide to update... |

check_if_optimize | Function check_if_optimize. |

create_labelled_data | Create labelled data |

create_transposed_data | Create Transposed Data |

data_trades | Table with Trade results samples |

decrypt_mykeys | Function that decrypt encrypted content |

DFR | Table with predicted price change |

dlog | Create log difference distribution |

encrypt_api_key | Encrypt api keys |

EURUSDM15X75 | Table with indicator and price change dataset |

evaluate_macroeconomic_event | Function used to evaluate market type situation by reading... |

get_profit_factorDF | Function that returns the profit factors of the systems in a... |

import_data | Import Data file with Trade Logs to R. |

indicator_dataset | Table with indicator dataset |

macd_100 | Table with indicator only used to train model, 128 col 1646... |

macd_df | Table with one column indicator dataset |

macd_ML60M | Table with indicator and market type category used to train... |

mt_evaluate | Function to score data and predict current market type using... |

mt_import_data | Import Market Type related Data to R from the Sandbox |

mt_make_model | Function to train Deep Learning Classification model for... |

mt_stat_evaluate | Function to prepare and score data, finally predict current... |

mt_stat_transf | Perform Statistical transformation and clustering of Market... |

opt_aggregate_results | Function to aggregate trading results from multiple folders... |

opt_create_graphs | Function to create summary graphs of the trading results |

policy_tr_systDF | Table with Market Types and sample of actual policy for those... |

price_dataset | Table with price dataset |

price_dataset_big | Table with price dataset, 30000 rows |

profit_factor_data | Table with Trade results samples |

profit_factorDF | Table with Trade results samples |

result_prev | Table with one column as result from the model prediction |

result_R | Table with predicted price change |

result_R1 | Table with aggregated trade results |

rl_generate_policy | Function performs Reinforcement Learning using the past data... |

rl_generate_policy_mt | Function performs RL and generates model policy for each... |

rl_log_progress | Function to retrieve and help to log Q values during RL... |

rl_log_progress_mt | Function to retrieve and help to log Q values during RL... |

rl_record_policy | Record Reinforcement Learning Policy. |

rl_record_policy_mt | Record Reinforcement Learning Policy for Market Types |

rl_write_control_parameters | Function to find and write the best control parameters. |

rl_write_control_parameters_mt | Function to find and write the best control parameters. |

test_data_pattern | Table with several columns containing indicator values and... |

to_m | Convert time series data to matrix with defined number of... |

TradeStatePolicy | Table with Trade States and sample of actual policy for those... |

trading_systemDF | Table with trade data and joined market type info |

util_find_pid | R function to find PID of active applications |

util_generate_password | R function to generate random passwords for MT4 platform or... |

util_profit_factor | Calculate Profit Factor |

write_command_via_csv | Write csv files with indicated commands to the external... |

write_ini_file | Create initialization files to launch MT4 platform with... |

x_test_model | Table with a dataset to test the Model |

y | Table with indicators and price change which is used to train... |

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