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Project description
Bravo! You have received a Medical Diploma from
the Orbital Convergence University International Air and Water Embassy of the Tangerine Planet.
You are now officially certified to include this module in your practice.
ramps_majestic
description
install
pip install ramps_majestic
--
usage
from datetime import datetime
import json
import pprint
import pandas
import rich
import ramps_majestic
import ramps_majestic.victory_multiplier.purchase_treasure_at_inclines as purchase_treasure_at_inclines_VM
import ramps_majestic.victory_multiplier.purchase_treasure_over_span as purchase_treasure_over_span_VM
import ramps_majestic.example_data.read as read_example_data
trend = read_example_data.start ("yahoo-finance--BTC-USD.CSV")
trend_DF = pandas.DataFrame (trend)
enhanced_trend_DF = ramps_majestic.calc (
trend_DF,
period = 14,
multiplier = 3
)
enhanced_list = enhanced_trend_DF.to_dict ('records')
'''
This calculates the multipliers
'''
treasure_at_inclines_VM = purchase_treasure_at_inclines_VM.calc (
enhanced_trend_DF,
include_last_change = True
)
rich.print_json (data = treasure_at_inclines_VM ["relevant"])
open_price_at_spans_VM = purchase_treasure_over_span_VM.calc (enhanced_trend_DF)
print ("open_price_at_spans_VM:", open_price_at_spans_VM)
print ("treasure_at_inclines_VM:", treasure_at_inclines_VM ["treasure purchase victory multiplier"])
ramps_majestic.chart_the_data (
enhanced_trend_DF,
treasure_at_inclines_VM
)
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