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lazytrade  

Learn Computer and Data Science using Algorithmic Trading
View on CRAN: Click here


Download and install lazytrade package within the R console
Install from CRAN:
install.packages("lazytrade")

Install from Github:
library("remotes")
install_github("cran/lazytrade")

Install by package version:
library("remotes")
install_version("lazytrade", "0.5.4")



Attach the package and use:
library("lazytrade")
Maintained by
Vladimir Zhbanko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-01
Latest Update: 2021-12-15
Description:
Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading. Main goal is to process information within "Decision Support System" to come up with analysis or predictions. There are several utilities such as dynamic and adaptive risk management using reinforcement learning and even functions to generate predictions of price changes using pattern recognition deep regression learning. Summary of Methods used: Awesome H2O tutorials: , Market Type research of Van Tharp Institute: , Reinforcement Learning R package: .
How to cite:
Vladimir Zhbanko (2019). lazytrade: Learn Computer and Data Science using Algorithmic Trading. R package version 0.5.4, https://cran.r-project.org/web/packages/lazytrade. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.3.1 (2019-07-01 12:50), 0.3.3 (2019-07-18 08:36), 0.3.4 (2019-08-01 12:30), 0.3.5 (2019-11-03 22:40), 0.3.6 (2019-11-22 10:20), 0.3.7 (2019-12-03 17:10), 0.3.8 (2019-12-12 21:50), 0.3.9 (2020-01-10 03:20), 0.3.10 (2020-03-23 18:20), 0.3.11 (2020-08-10 18:40), 0.4.0 (2020-09-16 14:20), 0.4.1 (2020-10-22 19:40), 0.4.2 (2020-11-12 06:20), 0.4.3 (2020-12-16 17:20), 0.4.4 (2021-01-19 23:30), 0.4.5 (2021-03-15 20:10), 0.5.1 (2021-04-08 22:50), 0.5.2 (2021-06-20 21:00), 0.5.3 (2021-12-15 19:10)
Other packages that cited lazytrade R package
View lazytrade citation profile
Other R packages that lazytrade depends, imports, suggests or enhances
Complete documentation for lazytrade
Functions, R codes and Examples using the lazytrade R package
Some associated functions: DFR . EURUSDM15X75 . TradeStatePolicy . aml_collect_data . aml_consolidate_results . aml_make_model . aml_score_data . aml_simulation . aml_test_model . check_if_optimize . create_labelled_data . create_transposed_data . data_trades . decrypt_mykeys . dlog . encrypt_api_key . evaluate_macroeconomic_event . get_profit_factorDF . import_data . indicator_dataset . macd_100 . macd_ML60M . macd_df . mt_evaluate . mt_import_data . mt_make_model . mt_stat_evaluate . mt_stat_transf . opt_aggregate_results . opt_create_graphs . policy_tr_systDF . price_dataset . price_dataset_big . profit_factorDF . profit_factor_data . result_R . result_R1 . result_prev . rl_generate_policy . rl_generate_policy_mt . rl_log_progress . rl_log_progress_mt . rl_record_policy . rl_record_policy_mt . rl_write_control_parameters . rl_write_control_parameters_mt . test_data_pattern . to_m . trading_systemDF . util_find_pid . util_generate_password . util_profit_factor . write_command_via_csv . write_ini_file . x_test_model . y . 
Some associated R codes: aml_collect_data.R . aml_consolidate_results.R . aml_make_model.R . aml_score_data.R . aml_simulation.R . aml_test_model.R . check_if_optimize.R . create_labelled_data.R . create_transposed_data.R . datasets.R . decrypt_mykeys.R . dlog.R . encrypt_api_key.R . evaluate_macroeconomic_event.R . get_profit_factorDF.R . import_data.R . mt_evaluate.R . mt_import_data.R . mt_make_model.R . mt_stat_evaluate.R . mt_stat_transf.R . opt_aggregate_results.R . opt_create_graphs.R . rl_generate_policy.R . rl_generate_policy_mt.R . rl_log_progress.R . rl_log_progress_mt.R . rl_record_policy.R . rl_record_policy_mt.R . rl_write_control_parameters.R . rl_write_control_parameters_mt.R . to_m.R . util_find_pid.R . util_generate_password.R . util_profit_factor.R . write_command_via_csv.R . write_ini_file.R . zzz.R .  Full lazytrade package functions and examples
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