# our "callables" for date parsing our datasets
def nyfed_dp(input):
s = str(input).split(":")[0].split("T")[0]
return parse("year-month-day", s, normalize=True)
def yahoofin_dp(input):
return parse("year-month-day", str(input), normalize=True)
P.parse_indexes_as_date([[1, yahoofin_dp], [2, yahoofin_dp]])
# Meta-creators
mid = P.index([2], by=1)
mid = P.clean(mid)
mid = P.meta_derive(mid, "dislocation", lambda r: abs(
((r[2] - r[1]) / r[1]) * 100))
P.meta_line_chart(
"./../bridges/nav-dislocation.bridge.json", {
"use":
mid,
"bottom":
0,
"left": [3],
"right": [2],
"names": [
"string:Date", "number:NDQ ETF", "ignore:NDQ MARKET PRICE",
"number:Absolute Dislocation"
def nyfed_dp(input):
s = str(input).split(":")[0].split("T")[0]
return parse("year-month-day", s, normalize=True)
def yahoofin_dp(input):
return parse("year-month-day", str(input), normalize=True)
P.parse_indexes_as_date([[1, nyfed_dp], [2, yahoofin_dp], [3, yahoofin_dp],
[4, yahoofin_dp]])
# Meta-creators
mid = P.index([2, 3, 4], by=1)
mid = P.clean(mid)
P.meta_line_chart(
"./../bridges/recession_probability_vix.bridge.json", {
"use":
mid,
"bottom":
0,
"left": [1],
"right": [2],
"random": [3, 4],
"names": [
"string:Date", "number:Recession Probability", "number:VIX",
"number:S&P", "number:NASDAQ"
]
# our "callables" for date parsing our datasets
def nyfed_dp(input):
s = str(input).split(":")[0].split("T")[0]
return parse("year-month-day", s, normalize=True)
def yahoofin_dp(input):
return parse("year-month-day", str(input), normalize=True)
P.parse_indexes_as_date([
[1, nyfed_dp],
[2, yahoofin_dp],
])
# Meta-creators
mid = P.index([1], by=2)
mid = P.clean(mid)
P.meta_line_chart(
"./../bridges/recession_probability_bitcoin.bridge.json", {
"use": mid,
"bottom": 0,
"left": [1],
"right": [2],
"names":
["string:Date", "number:Bitcoin", "number:Recession Probability"]
})
def gold(input):
# print(input)
s = str(input).split("T")[0]
return parse("year-month-day", s, normalize=True)
def yahoofin_dp(input):
# print(input)
return parse("year-month-day", str(input), normalize=True)
P.parse_indexes_as_date([[1, gold], [2, yahoofin_dp], [3, yahoofin_dp]])
# Meta-creators
mid = P.index([1, 3], by=2)
mid = P.clean(mid)
# mid = P.meta_derive(mid, "dislocation", lambda r: abs(((r[2]-r[1])/r[1])*100))
P.meta_line_chart(
"./../bridges/gold.bridge.json", {
"use":
mid,
"bottom":
0,
"left": [1],
"right": [2],
"random": [3],
"names": [
"string:Date", "number:NYSE-GOLD", "number:Gold Spot",
"number:Dollar Index"
