IOT RSI

What is IOT?

Samsara was founded in 2015 by Sanjit Biswas and John Bicket, the visionary duo who previously built and sold Meraki to Cisco. Their goal was to bridge the gap between digital software and physical operations. While most tech companies focus on white-collar environments, Samsara targets the backbone of the economy—sectors like trucking, construction, utilities, and manufacturing.

The core business model is a classic SaaS play. They provide a Connected Operations Cloud that integrates hardware, like plug-and-play IoT sensors and AI-powered dash cams, with a robust software platform. This allows companies to digitize their operations, turning raw data into actionable insights. Their product suite includes vehicle telematics, real-time safety coaching, and equipment monitoring, all designed to improve efficiency and reduce risk.

A key historical milestone was their successful 2021 IPO, which signaled the market's appetite for industrial digitization. Samsara has since reached over $1 billion in annual recurring revenue (ARR) with remarkable speed, faster than many established software giants. From a financial standing, the company has transitioned from aggressive cash burning to focusing on operating leverage. They have a strong balance sheet and have seen a massive uptick in large-scale enterprise contracts, which provides long-term stability and high retention rates.

Looking toward 2026, the strategy is focused on Intelligence at Scale. They are moving beyond simple data reporting toward predictive AI. By 2026, Samsara aims to be the primary predictive engine for physical operations, identifying safety hazards or mechanical failures before they occur. The strategic outlook involves aggressive international expansion and a deeper penetration into non-fleet industrial assets. As they push toward sustained GAAP profitability, their goal is to become the indispensable operating system for the physical world, leveraging their massive data moat to stay ahead of legacy telematics providers.

What is RSI?

The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and magnitude of price changes. Developed by J. Welles Wilder, RSI ranges from 0 to 100 and helps traders identify overbought or oversold conditions in an asset.

For IOT, monitoring the RSI provides valuable insights into potential trend reversals and entry/exit points. When the RSI drops below 30, Samsara Inc. is typically considered oversold, suggesting the asset may be undervalued. Conversely, an RSI above 70 indicates overbought conditions.

Understanding IOT RSI Signals

• Oversold (RSI below 30): When IOT RSI falls below 30, it suggests the asset may have been sold off excessively and could be due for a bounce. This is often viewed as a potential buying opportunity, though it's important to consider other factors and not rely solely on RSI.
• Overbought (RSI above 70): An RSI above 70 indicates IOT may be overbought, potentially signaling a pullback or consolidation phase. Traders often use this as a signal to take profits or wait for better entry points.
• Divergences: When IOT price makes new highs or lows but RSI doesn't confirm these moves, it can signal weakening momentum and a possible trend reversal.

Daily vs Weekly RSI for IOT

This page displays both daily and weekly RSI for IOT. The daily RSI responds quickly to short-term price movements, making it useful for day traders and swing traders. The weekly RSI provides a broader perspective on momentum trends, helping longer-term investors identify major oversold or overbought conditions.

By analyzing both timeframes together, you can better understand Samsara Inc.'s momentum at multiple levels and make more informed trading decisions.

Historical RSI Oversold Analysis

Above, we track historical instances when IOT RSI dropped below 30 (oversold territory). Reviewing these past oversold levels helps identify patterns and understand how Samsara Inc. has historically responded to oversold conditions. Many traders use these historical reference points to gauge potential support levels and timing for entry positions.