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currency_exchange_rates.yml
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currency_exchange_rates.yml
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---
apiVersion: influxdata.com/v2alpha1
kind: Label
metadata:
name: exchange-rates
spec:
name: Exchange Rates
color: '#7A65F2'
---
apiVersion: influxdata.com/v2alpha1
kind: Label
metadata:
name: outputs-influxdb-v2
spec:
name: outputs.influxdb_v2
color: '#108174'
---
apiVersion: influxdata.com/v2alpha1
kind: Label
metadata:
name: inputs-http
spec:
name: inputs.http
color: '#108174'
---
apiVersion: influxdata.com/v2alpha1
kind: Label
metadata:
name: processors-regex
spec:
name: processors.regex
color: '#108174'
---
apiVersion: influxdata.com/v2alpha1
kind: Label
metadata:
name: processors-pivot
spec:
name: processors.pivot
color: '#108174'
---
apiVersion: influxdata.com/v2alpha1
kind: Bucket
metadata:
name: quandl
spec:
name: quandl
retentionRules:
- everySeconds: 2592000
type: expire
---
apiVersion: influxdata.com/v2alpha1
kind: Telegraf
metadata:
name: exchange-rates-data-retrieval
spec:
name: Exchange Rates Data Retrieval
associations:
- kind: Label
name: outputs-influxdb-v2
- kind: Label
name: inputs-http
- kind: Label
name: processors-regex
- kind: Label
name: processors-pivot
config: |
[agent]
interval = "1m"
flush_interval = "1m"
round_interval = true
metric_buffer_limit = 10000
collection_jitter = "0s"
flush_jitter = "0s"
precision = ""
debug = true
quiet = false
logfile = ""
omit_hostname = true
[[outputs.influxdb_v2]]
## Multiple URLs can be specified for a single cluster, only ONE of the
## urls will be written to each interval.
## ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
urls = ["$INFLUX_HOST"]
## Token for authentication.
token = "$INFLUX_TOKEN"
## Organization is the name of the organization you wish to write to; must exist.
organization = "$INFLUX_ORG" ## Destination bucket to write into.
bucket = "quandl"
tagexclude = ["url"]
#[[outputs.file]]
# files = ["stdout"]
# data_format = "influx"
# tagexclude = ["url"]
[[processors.regex]]
namepass = ["quandl_ecb"]
[[processors.regex.tags]]
key = "url"
pattern = "^.*ECB/(.+)\\.csv.*$"
replacement = "${1}"
result_key = "exchange_rate"
[[processors.pivot]]
tag_key = "exchange_rate"
## Field to use as the value of the new field.
value_key = "value"
[[inputs.http]]
urls = [
"https://www.quandl.com/api/v3/datasets/ECB/EURUSD.csv?api_key=$QUANDL_API_KEY&order=desc&rows=90",
"https://www.quandl.com/api/v3/datasets/ECB/EURGBP.csv?api_key=$QUANDL_API_KEY&order=desc&rows=90",
"https://www.quandl.com/api/v3/datasets/ECB/EURCHF.csv?api_key=$QUANDL_API_KEY&order=desc&rows=90",
"https://www.quandl.com/api/v3/datasets/ECB/EURAUD.csv?api_key=$QUANDL_API_KEY&order=desc&rows=90",
]
data_format = "csv"
csv_header_row_count = 1
name_override = "quandl_ecb"
fielddrop = ["time"]
csv_column_names = ["time", "value"]
csv_timestamp_column = "time"
csv_timestamp_format = "2006-01-02"
[inputs.http.tags]
dataset = "ECB"
---
apiVersion: influxdata.com/v2alpha1
kind: Dashboard
metadata:
name: exchange-rates
spec:
name: Exchange Rates
charts:
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: y
scale: linear
colors:
- hex: '#31C0F6'
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
name: Nineteen Eighty Four
type: scale
geom: line
height: 6
kind: Xy
name: EUR-USD
position: overlaid
queries:
- query: |-
import "experimental"
result = from(bucket: "quandl")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r._measurement == "quandl_ecb")
|> filter(fn: (r) => r._field == "EURUSD")
// report daily exchange rates
result
|> yield(name: "daily values")
shade: true
width: 3
xCol: _time
yCol: _value
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: y
scale: linear
colors:
- hex: '#8F8AF4'
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#A51414'
name: Do Androids Dream of Electric Sheep?
type: scale
- hex: '#F4CF31'
name: Do Androids Dream of Electric Sheep?
type: scale
geom: line
height: 6
kind: Xy
name: EUR-CHF
position: overlaid
queries:
- query: |-
import "experimental"
result = from(bucket: "quandl")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r._measurement == "quandl_ecb")
|> filter(fn: (r) => r._field == "EURAUD")
// report daily exchange rates
result
|> yield(name: "daily values")
shade: true
width: 3
xCol: _time
yCol: _value
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: y
scale: linear
colors:
- hex: '#FDC44F'
name: Cthulhu
type: scale
- hex: '#007C76'
name: Cthulhu
type: scale
- hex: '#8983FF'
name: Cthulhu
type: scale
geom: line
height: 6
kind: Xy
name: EUR-GBP
position: overlaid
queries:
- query: |-
import "experimental"
result = from(bucket: "quandl")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r._measurement == "quandl_ecb")
|> filter(fn: (r) => r._field == "EURGBP")
// report daily exchange rates
result
|> yield(name: "daily values")
shade: true
width: 3
xCol: _time
xPos: 3
yCol: _value
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: y
scale: linear
colors:
- hex: '#74D495'
name: Atlantis
type: scale
- hex: '#3F3FBA'
name: Atlantis
type: scale
- hex: '#FF4D9E'
name: Atlantis
type: scale
geom: line
height: 6
kind: Xy
name: USD-CHF
position: overlaid
queries:
- query: |-
import "experimental"
result = from(bucket: "quandl")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r._measurement == "quandl_ecb")
// combine all exchange rates into single table
|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
// calculate rate by combining EURCHF and EURUSD
|> map(fn: (r) => ({ r with _value: r.EURCHF / r.EURUSD }))
// report daily exchange rates
result
|> yield(name: "daily values")
shade: true
width: 3
xCol: _time
xPos: 3
yCol: _value
yPos: 6
- axes:
- base: "10"
name: x
scale: linear
- base: "2"
name: y
scale: linear
colors:
- hex: '#DA6FF1'
name: Ectoplasm
type: scale
- hex: '#00717A'
name: Ectoplasm
type: scale
- hex: '#ACFF76'
name: Ectoplasm
type: scale
geom: line
height: 6
kind: Xy
name: EUR relative combined index (using USD, CHF, GBP and AUD)
position: overlaid
queries:
- query: |-
import "experimental"
result = from(bucket: "quandl")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r._measurement == "quandl_ecb")
// combine all exchange rates into single table
|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
// calculate the relative index by taking each exchange rate and multiplying it by 0.25
|> map(fn: (r) => ({ r with _value: r.EURUSD * 0.25 + r.EURCHF * 0.25 + r.EURGBP * 0.25 + r.EURAUD * 0.25 }))
// report daily exchange rates
result
|> yield(name: "daily values")
// calculate weekly timed moving average
result
|> timedMovingAverage(every: 1d, period: 7d)
|> map(fn: (r) => ({ r with _time: experimental.subDuration(d: 84h, from: r._time) }))
|> yield(name: "weekly timed moving average")
shade: true
width: 6
xCol: _time
xPos: 6
yCol: _value
- axes:
- base: "2"
name: y
scale: linear
- base: "10"
name: x
scale: linear
colors:
- hex: '#31C0F6'
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
name: Nineteen Eighty Four
type: scale
geom: line
height: 6
kind: Xy
name: USD relative combined index (using EUR, CHF, GBP and AUD)
position: overlaid
queries:
- query: |-
import "experimental"
result = from(bucket: "quandl")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r._measurement == "quandl_ecb")
// combine all exchange rates into single table
|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
// calculate the relative index by taking each exchange rate and multiplying it by 0.25
// since EBC only provides reference rates against EUR, the following calculations are applied
// - calculate the opposite index for EUR-USD
// - calculate the currency / USD index by dividing the currency / EUR index with EUR-USD index
|> map(fn: (r) => ({ r with _value: (1.0 / r.EURUSD) * 0.25 + (r.EURCHF / r.EURUSD) * 0.25 + (r.EURGBP / r.EURUSD) * 0.25 + (r.EURAUD / r.EURUSD) * 0.25}))
// report daily exchange rates
result
|> yield(name: "daily values")
// calculate weekly timed moving average
result
|> timedMovingAverage(every: 1d, period: 7d)
|> map(fn: (r) => ({ r with _time: experimental.subDuration(d: 84h, from: r._time) }))
|> yield(name: "weekly timed moving average")
shade: true
width: 6
xCol: _time
xPos: 6
yCol: _value
yPos: 6
description: ""
...