This report provides the real-time exchange rate between the Argentine Peso (ARS) and the Nepalese Rupee (NPR), helping traders quickly grasp market dynamics and identify potential trading opportunities.
Definition
The Argentine Peso (ARS) is the official fiat currency of Argentina, while the Nepalese Rupee (NPR) is the official currency of Nepal. The exchange rate between them reflects market perceptions of both currencies’ relative values and investor confidence in their respective economic stability.
Today’s Price
1 ARS = 0.0999 NPR
24h High: 0.10392 NPR
24h Low: 0.10364 NPR
Market Analysis
Recent ARS/NPR price movement shows volatility within a narrow trading range as of February 16, 2026.
Technical levels: The 14-day Relative Strength Index (RSI) stands at 7.535, indicating an oversold condition for the ARS/NPR pair
Risk note: The oversold RSI reading suggests potential for mean reversion; traders should monitor for reversal signals
Trading opportunities: Watch for potential recovery plays from oversold levels and observe support and resistance formations for entry confirmation
Conclusion
Continue to monitor the ARS/NPR pair closely, integrating technical indicators with market sentiment and price action signals from key support and resistance levels to develop a robust trading strategy.
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Today's ARS to NPR Price Update
Summary
This report provides the real-time exchange rate between the Argentine Peso (ARS) and the Nepalese Rupee (NPR), helping traders quickly grasp market dynamics and identify potential trading opportunities.
Definition
The Argentine Peso (ARS) is the official fiat currency of Argentina, while the Nepalese Rupee (NPR) is the official currency of Nepal. The exchange rate between them reflects market perceptions of both currencies’ relative values and investor confidence in their respective economic stability.
Today’s Price
Market Analysis
Recent ARS/NPR price movement shows volatility within a narrow trading range as of February 16, 2026.
Conclusion
Continue to monitor the ARS/NPR pair closely, integrating technical indicators with market sentiment and price action signals from key support and resistance levels to develop a robust trading strategy.