Domestic policy
Bank of Thailand decisions can affect expected interest rates, liquidity and the currency’s relative attractiveness.
This page provides a data-driven USD/THB (US Dollar / Thai Baht) exchange rate forecast based on historical forex market data and statistical modeling techniques. The Thai Baht is influenced by tourism flows, exports, foreign investment, and Bank of Thailand monetary policy.
The US Dollar is impacted by Federal Reserve interest rates, inflation data, and global risk sentiment. The interaction between these two currencies creates measurable volatility patterns used in this forecast model.
| Date | Open | High / Low | Close | Total % |
|---|---|---|---|---|
| 2026-10 | 33,60 |
High: 33,60
Low: 32,07
|
32,63 | -2.89% |
| 2026-11 | 32,63 |
High: 32,66
Low: 31,56
|
32,11 | -4.44% |
| 2026-12 | 32,11 |
High: 32,37
Low: 31,27
|
31,82 | -5.30% |
| 2027 | ||||
| 2027-01 | 31,82 |
High: 32,21
Low: 31,12
|
31,66 | -5.77% |
| 2027-02 | 31,66 |
High: 32,45
Low: 31,35
|
31,90 | -5.07% |
| 2027-03 | 31,90 |
High: 31,94
Low: 30,86
|
31,40 | -6.56% |
| 2027-04 | 31,40 |
High: 32,06
Low: 30,97
|
31,52 | -6.21% |
| 2027-05 | 31,52 |
High: 32,24
Low: 31,15
|
31,69 | -5.69% |
| 2027-06 | 31,69 |
High: 32,35
Low: 31,25
|
31,80 | -5.36% |
| 2027-07 | 31,80 |
High: 32,17
Low: 31,08
|
31,63 | -5.88% |
| 2027-08 | 31,63 |
High: 32,16
Low: 31,07
|
31,61 | -5.91% |
| 2027-09 | 31,61 |
High: 32,65
Low: 31,54
|
32,10 | -4.48% |
| 2027-10 | 32,10 |
High: 32,10
Low: 30,97
|
31,51 | -6.23% |
| 2027-11 | 31,51 |
High: 31,51
Low: 30,21
|
30,74 | -8.52% |
| 2027-12 | 30,74 |
High: 31,06
Low: 30,01
|
30,53 | -9.13% |
| 2028 | ||||
| 2028-01 | 30,53 |
High: 31,27
Low: 30,21
|
30,74 | -8.52% |
| 2028-02 | 30,74 |
High: 31,81
Low: 30,74
|
31,27 | -6.93% |
| 2028-03 | 31,27 |
High: 31,54
Low: 30,48
|
31,01 | -7.72% |
| 2028-04 | 31,01 |
High: 31,35
Low: 30,30
|
30,82 | -8.27% |
| 2028-05 | 30,82 |
High: 31,18
Low: 30,12
|
30,65 | -8.79% |
| 2028-06 | 30,65 |
High: 31,25
Low: 30,20
|
30,73 | -8.56% |
| 2028-07 | 30,73 |
High: 31,30
Low: 30,24
|
30,77 | -8.43% |
| 2028-08 | 30,77 |
High: 30,82
Low: 29,78
|
30,30 | -9.83% |
| 2028-09 | 30,30 |
High: 30,62
Low: 29,59
|
30,11 | -10.41% |
| 2028-10 | 30,11 |
High: 31,06
Low: 30,01
|
30,54 | -9.12% |
| 2028-11 | 30,54 |
High: 31,05
Low: 30,01
|
30,53 | -9.14% |
| 2028-12 | 30,53 |
High: 30,63
Low: 29,59
|
30,11 | -10.40% |
| 2029 | ||||
| 2029-01 | 30,11 |
High: 30,11
Low: 28,74
|
29,24 | -12.99% |
| 2029-02 | 29,24 |
High: 29,33
Low: 28,34
|
28,83 | -14.19% |
| 2029-03 | 28,83 |
High: 30,22
Low: 28,83
|
29,71 | -11.58% |
| 2029-04 | 29,71 |
High: 30,13
Low: 29,11
|
29,62 | -11.86% |
| 2029-05 | 29,62 |
High: 30,07
Low: 29,05
|
29,56 | -12.03% |
| 2029-06 | 29,56 |
High: 30,16
Low: 29,14
|
29,65 | -11.77% |
| 2029-07 | 29,65 |
High: 30,12
Low: 29,11
|
29,62 | -11.86% |
| 2029-08 | 29,62 |
High: 29,80
Low: 28,79
|
29,30 | -12.81% |
| 2029-09 | 29,30 |
High: 29,84
Low: 28,83
|
29,34 | -12.70% |
Currency markets are highly sensitive to economic conditions, interest-rate expectations, capital flows and changes in global risk appetite. The forecasts shown on this page are generated using algorithmic models and must not be considered financial advice.
Users should conduct independent research or consult financial professionals before making investment decisions.
This forecasting system is designed for educational and analytical purposes. It presents currency-pair projections alongside market context. Exchange-rate outcomes depend on both currencies, policy decisions, economic data and changing market conditions.
USD/THB combines conditions in Thailand with the global role of the U.S. dollar. The factors below are research context for interpreting the forecast and are not presented as a claim that every factor is a direct model input.
Bank of Thailand decisions can affect expected interest rates, liquidity and the currency’s relative attractiveness.
Changes in inflation and economic activity can alter the expected path of monetary policy and domestic demand.
Tourism receipts and export conditions can affect foreign-currency inflows, while U.S. dollar conditions influence the external side of the pair.
The expected difference between local and U.S. interest rates can influence capital allocation and hedging demand.
Broad changes in U.S. dollar liquidity and risk appetite can affect emerging-market and developed-market currencies differently.
Portfolio flows, hedging activity and market positioning can amplify exchange-rate moves beyond changes in underlying economic data.
The page currently exposes 36 dated observations in the forecast response. This section describes the returned dataset; it is not a claim about forecast accuracy.
Oct 1, 2026 through Sep 1, 2029
36 dated records are available to the page.
28.83 to 32.63 in the response data.
30.75 across valid close values.
These statistics describe the data returned to the page. They should not be confused with MAE, MAPE, RMSE or any other forecast-accuracy measure.
A forecast is a model-generated estimate for a specified horizon, not a promise about the future. The further the horizon extends, the more room there is for economic conditions, policy decisions, supply disruptions and market structure to change.
Readers should compare the projected path with the historical series shown on the page and with the market-specific drivers above. A useful question is not simply “what is the predicted price?” but “what assumptions would need to remain broadly valid for this path to occur?”
When new observations are added, a model may produce a different projection even if the underlying methodology is unchanged. This is normal for time-series forecasting and is one reason forecasts should be treated as point-in-time research.
These questions are designed to help readers independently evaluate the forecast rather than rely on a single projected value.
These are reputable public sources readers can use to verify economic and market context. The presence of a source below does not mean every series is used directly by the forecasting model.
The pair can be affected by monetary-policy expectations, inflation, growth, trade and capital flows in both economies, as well as global risk sentiment.
New economic data, policy communication, changes in global liquidity and shifts in market positioning can change the information available to the forecasting process.
No. The page provides informational market research and model-generated estimates, not personalized investment recommendations.
Related pages provide background and cross-market context. They are not recommendations to buy, sell or hold an asset.
Financial markets are affected by events that cannot be known in advance. Statistical relationships can weaken, structural breaks can occur, and extreme events can produce outcomes outside historical ranges.
QuantaForecast presents these projections for informational and educational purposes. The forecasts are not personalized financial, investment, tax or legal advice.