sys.path.append('../tools') import getanalysis import tradesim import csv import time import numpy import pylab jdata_filepath = '../../data/jcandles.csv' hadata_filepath = '../../data/hacandles.csv' jdata = getanalysis.import_j_candles(jdata_filepath) hadata = getanalysis.import_j_candles(hadata_filepath) [jincrease_data, jbody_sizes, jshadow_sizes, data_length] = getanalysis.body_and_shadow(jdata) [jrun_length_data, jreversals] = getanalysis.runs_and_reversal(jdata, data_length, jincrease_data) [haincrease_data, habody_sizes, hashadow_sizes, data_length] = getanalysis.body_and_shadow(hadata) [harun_length_data, hareversals] = getanalysis.runs_and_reversal(hadata, data_length, haincrease_data) jrun_function_data = getanalysis.run_analysis(jbody_sizes, data_length, jrun_length_data, jincrease_data) harun_function_data = getanalysis.run_analysis(habody_sizes, data_length, harun_length_data, haincrease_data)
import sys sys.path.append('../tools') import getanalysis import tradesim import csv import time import numpy data_filepath = '../../data/jcandles.csv' data = getanalysis.import_j_candles(data_filepath) [increase_data, body_sizes, shadow_sizes, data_length] = \ getanalysis.body_and_shadow(data) # Have body sizes and shadow sizes [run_length_data, reversals] = getanalysis.runs_and_reversal(data, data_length, increase_data) # Have reversals and run lengths body_shadow_ratios = [0] * data_length for i in range(data_length): try: body_shadow_ratios[i] += (body_sizes[i] / shadow_sizes[i]) except: pass run_function_data = [None] * data_length