Financial Time-Series Foundations
10 algorithms in Financial Mathematics, Statistics, and Data Foundations · 10 with asserted arithmetic.
In this family#
-
Time Order, Frequency, Regularity, and Financial Calendars verified
timeOrderFrequencyRegularityAndFinancialCalendars(input) -
Levels, Changes, Differences, and Returns verified
levelsChangesDifferencesAndReturns(input) -
Lags, Leads, and Temporal Dependence verified
lagsLeadsAndTemporalDependence(input) -
Rolling and Expanding Windows verified
rollingAndExpandingWindows(input) -
Resampling, Aggregation, and Time Alignment verified
resamplingAggregationAndTimeAlignment(input) -
Trend, Seasonality, Cycles, and Remainder verified
trendSeasonalityCyclesAndRemainder(input) -
Autocovariance and Autocorrelation verified
autocovarianceAndAutocorrelation(input) -
Stationarity and Differencing Intuition verified
stationarityAndDifferencingIntuition(input) -
Smoothing, Baselines, and Naive Forecasts verified
smoothingBaselinesAndNaiveForecasts(input) -
Look-Ahead Leakage and Time-Aware Data Splits verified
lookAheadLeakageAndTimeAwareDataSplits(input)
What they share#
Every topic here is a record-transform, so once you have
called one the rest follow the same shape. Import paths differ only in the final segment:
import { timeOrderFrequencyRegularityAndFinancialCalendars } from "fintech-algorithms/financial-mathematics-statistics-and-data-foundations/financial-time-series-foundations/time-order-frequency-regularity-and-financial-calendars";
import { levelsChangesDifferencesAndReturns } from "fintech-algorithms/financial-mathematics-statistics-and-data-foundations/financial-time-series-foundations/levels-changes-differences-and-returns";Read them in the order above — the sequence is pedagogical, not alphabetical.
Where this sits#
Financial Mathematics, Statistics, and Data Foundations collects 120 algorithms across 12 families. For the concept behind this family rather than the call signatures, see the concept guides.