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abshafi2021/BDT-to-USD-exchange-rate-2024-2026

Bangladesh Taka (BDT) to US Dollar (USD) Daily Exchange Rate, 2024-2026 Overview Daily USD/BDT exchange rate covering 2024-01-01 to 2026-07-07 (657 trading days), sourced from Exchange-Rates.org's historical BDT/USD pages. This is a genuine multi-year time series — much more useful for trend analysis, forecasting, or macroeconomic notebooks than a single-day snapshot. The data captures Bangladesh's major currency events in this window, including the sharp Taka… See the full description on the dataset page: https://huggingface.co/datasets/abshafi2021/BDT-to-USD-exchange-rate-2024-2026.

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Bangladesh Taka (BDT) to US Dollar (USD) Daily Exchange Rate, 2024-2026

Overview

Daily USD/BDT exchange rate covering 2024-01-01 to 2026-07-07 (657 trading days), sourced from Exchange-Rates.org's historical BDT/USD pages. This is a genuine multi-year time series — much more useful for trend analysis, forecasting, or macroeconomic notebooks than a single-day snapshot.

The data captures Bangladesh's major currency events in this window, including the sharp Taka devaluation in May 2024 (BDT moved from ~109.1 to ~117.6 per USD in a single week) and the continued gradual depreciation through 2025-2026 toward ~123 BDT/USD.

Files

  • —bdt_usd_daily_2024_2026.csv — daily granularity, one row per trading day
  • —bdt_usd_monthly_summary.csv — monthly average/min/max, one row per month
  • —bdt_usd_yearly_summary.csv — yearly average/min/max, one row per year
  • —README.md — this file

Column Dictionary (daily file)

ColumnTypeDescription
dateYYYY-MM-DDTrading date
yearYYYYCalendar year (convenience column)
bdttousdfloat1 BDT expressed in USD (raw source unit)
usdtobdtfloat1 USD expressed in BDT (= 1 / bdttousd), the more commonly used direction
sourcestringExchange-Rates.org

Monthly/yearly summary files use avg_usd_to_bdt, min_usd_to_bdt, max_usd_to_bdt, and trading_days (number of data points that month/year).

License

Suggested: CC0 or CC-BY, crediting Exchange-Rates.org as the underlying data source.

Known limitations

  • —Source data are mid-market rates aggregated by a third-party financial data site, not Bangladesh Bank's own interbank/WAR rate — the two track closely but are not identical (Bangladesh Bank's rate is the authoritative one for official/commercial purposes).
  • —Some trading days are missing (weekends, market holidays) — this is expected and not a data quality issue.
  • —2026 data only goes through July 7 (the most recent available at collection time).

Ideas for analysis (great for Kaggle notebooks)

  • —Plot the full 2024-2026 trend and annotate the May 2024 devaluation event
  • —Compute month-over-month depreciation rate
  • —Compare against Bangladesh's inflation or remittance inflow data (if you add another dataset)
  • —Simple time-series forecasting (ARIMA / Prophet) for the next quarter