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Relative Strength Index (RSI): Trading Strategies, Settings, and Market Applications

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Relative Strength Index (RSI): Trading Strategies, Settings, and Market Applications

RSI is a popular momentum indicator in technical trading across forex, stock, and cryptocurrency* markets. The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder that measures the speed of price movements on a 0–100 scale. Traders use it to detect overbought/oversold conditions, trend strength, pullbacks, and exhaustion.

Although often viewed as a basic oscillator, the RSI plays a more nuanced role in professional trading strategies, particularly when combined with trend and volatility indicators. Understanding how the RSI behaves in different market environments may help traders refine entries, implement risk management strategies, and confirm trade setups.

In this article, we will consider how the RSI indicator works, how it is calculated, and how it can be applied in practical trading strategies across multiple asset classes.

Takeaways

  • The Relative Strength Index (RSI) is a momentum indicator that measures the speed and magnitude of recent price movements to evaluate whether an asset is overbought or oversold.
  • Developed by J. Welles Wilder, the RSI is plotted on a scale from 0 to 100 and is most commonly calculated over a 14-period timeframe.
  • At its core, the RSI compares the average size of recent gains with the average size of recent losses over a defined period.
  • Traditionally, RSI trading rules suggest that readings above 70 indicate overbought conditions, while readings below 30 signal oversold levels.
  • Besides overbought and oversold signals, the indicator can provide divergence, trend strength, and failure swings signals.

What Is the Relative Strength Index?

The Relative Strength Index (RSI) is a momentum oscillator in modern technical analysis. Developed by J. Welles Wilder Jr. and introduced in 1978 in New Concepts in Technical Trading Systems, the indicator measures the speed and magnitude of recent price movements in order to evaluate underlying market momentum.

The RSI is plotted on a scale from 0 to 100 and is classified as an oscillator because it fluctuates within a fixed range rather than following price directly. This structure allows traders to evaluate whether buying or selling pressure is strengthening or weakening relative to recent market activity.

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In practice the RSI functions less as a reversal indicator and more as a momentum persistence gauge. In directional markets the oscillator spends extended time in one half of its range, reflecting order-flow imbalance rather than exhaustion. Professional traders therefore interpret extreme readings as trend participation signals unless market structure begins to break.

Although the RSI is often introduced as a simple overbought-oversold tool, its practical application in professional trading is considerably broader. In leveraged markets such as forex and CFDs, traders use the indicator to identify pullbacks within trends, detect momentum divergence, and refine entry timing across multiple timeframes. The RSI therefore functions less as a standalone signal generator and more as a contextual momentum filter within broader trading systems.

The RSI belongs to the family of bounded momentum oscillators introduced by J. Welles Wilder in New Concepts in Technical Trading Systems (1978), alongside the average true range (ATR), the average directional movement index (ADX), and the parabolic stop and reverse (Parabolic SAR).

RSI Formula and Calculation

How is RSI calculated? It’s quite difficult to calculate the RSI. Fortunately, you don’t need to do it manually, as it’s one of the standard indicators implemented in most trading platforms. For instance, you can use TickTrader to examine the RSI without making complicated calculations.

However, it’s worth understanding how the indicator is measured to know which metrics can affect its performance.

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The RSI Formula Explained

RSI formula

The calculation involves three main steps. First, the average gain and average loss over the selected period are determined. Second, these values are used to calculate relative strength, defined as the ratio of average gains to average losses. Finally, this ratio is transformed into an index value between 0 and 100 using the RSI formula.

The most popular RSI period is 14, meaning its values are based on closing prices for the latest 14 periods, regardless of the timeframe. We will use this period as an example of RSI calculations.

The standard RSI formula description:

Step 1: Average Gain and Average Loss

To calculate average gains and losses, you need to calculate the price change from the previous period.

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Note: If the current price is higher than the previous one, add the gain to a total gain variable. If the price declined from the previous period, add the figure to a total loss variable.

After you calculate the change for all 14 periods, you need to add up the gains and divide them by 14 and sum up the losses and divide the total by 14.

Step 2: Calculate the Relative Strength (RS)

RS = Average Gain / Average Loss

To calculate the relative strength, divide the average gain by the average loss.

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Step 3: Calculate the RSI

Now that you calculated the RS, you can proceed with the RSI value. For this, you need to add 1 to RS, divide 100 by the sum, and subtract the result from 100.

Relative Strength Index = 100 – 100 / (1 + RS)

Because the calculation uses smoothed averages of gains and losses, the RSI reacts to volatility contraction faster than to volatility expansion. This asymmetry explains why the indicator often gives early signals near market tops but delayed signals near lows.

What RSI Setting Do Traders Use?

The standard period is 14. Shorter lookback periods produce a more sensitive indicator that reacts quickly to price changes but generates more noise. Longer periods smooth out fluctuations but may lag behind rapid market shifts. This trade-off explains why RSI settings are often adjusted according to strategy type, whether scalping, day trading, or swing trading.

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The following adjustments are common depending on strategy and timeframe:

Trading style

Typical RSI period

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Scalping

5–9

Intraday trading

9–14

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Swing trading

14

Position trading

21

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Scalping strategies often use shorter RSI periods to capture rapid momentum shifts on lower timeframes. While this increases signal frequency, it also requires stricter risk management due to higher noise levels.

Want to learn how to read the RSI indicator signals?

How Is the RSI Indicator Used in Trading?

How to interpret the RSI indicator? There are four common ways to use the RSI indicator when trading: spot overbought and oversold conditions, find price divergences, implement failure swings for reversal signals, and determine market trends.

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Relative Strength Index: Overbought/Oversold Indicator

The traditional interpretation of RSI levels focuses on the 70 and 30 thresholds. Readings above 70 are commonly described as overbought, while readings below 30 are considered oversold. However, in professional trading environments these thresholds are treated as reference zones rather than absolute signals.

The 70/30 framework works primarily in rotational markets. During macro-driven trends, price commonly continues moving after entering overbought or oversold territory because positioning flows dominate short-term mean reversion. In these conditions the RSI defines pullback zones rather than reversal zones.

During sustained uptrends, the RSI typically fluctuates between 40 and 80 (sometimes reaching 90 in very strong trends). Pullbacks often hold above 40, showing that bullish momentum remains intact. In sustained downtrends, the RSI usually ranges between 20 and 60, with rallies failing near 60, reflecting persistent selling pressure. These shifting RSI ranges may help traders assess trend strength rather than relying solely on the traditional 70/30 overbought–oversold levels.

Sustained RSI range shifts usually reflect systematic positioning rather than retail momentum. When the oscillator establishes a higher equilibrium range, dips towards the mid-zone often coincide with passive liquidity absorption rather than trend rejection.

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On the daily chart of the GBP/USD pair, the RSI entered the oversold area on 22nd April, left it for a while on 4th May, but returned to it and continued moving upwards only on 15th May.

An example of the oversold RSI

Additionally, when using overbought/oversold signals, traders keep in mind that they can reflect an upcoming correction, not a trend reversal. The GBP/USD pair was trading in a strong downtrend, and the RSI provided a signal of a short-term correction only.

To distinguish between corrections and reversals, traders combine the RSI with other tools. A cross of a moving average can confirm a change in the trend.

Oversold RSI strategy

On the chart above, the RSI broke above the 30 level on 28th September. A trader could go long, using a trailing take profit. After the MA/EMA cross occurred (1), a trader could trail the take-profit target. Another option would be to place the take-profit order at the closest resistance level (2) and wait for the cross to confirm the reversal signal. After the confirmation, a trader could open another buy position and drive the uptrend.

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RSI Divergence Strategy

RSI is a divergence indicator. Another option for using the RSI is to look for divergences between the indicator and the price chart. Divergence occurs when price action and indicator momentum move in opposite directions, signalling a potential shift in underlying market dynamics.

A convention widely used in exchange educational materials is:

  • An RSI bullish divergence forms when price records a lower low while the RSI prints a higher low. This pattern indicates that selling pressure is weakening even as price continues to decline.
  • An RSI bearish divergence, by contrast, appears when price reaches a higher high but the RSI forms a lower high, suggesting diminishing upward momentum.

Divergence is more popular when it occurs near key support or resistance levels. However, because divergence can persist for extended periods before price reverses, it is rarely traded in isolation. Many traders confirm RSI divergence using tools such as the MACD or structural breaks in market structure.

Hidden divergence is another variation that signals trend continuation rather than reversal. In trending markets, this form of divergence may help traders identify pullbacks that are likely to resolve in the direction of the prevailing trend.

  • A bullish divergence forms when the price rises with higher lows, but the relative strength index declines with lower lows, traders expect the price to move upwards.
  • A bearish divergence forms when the price falls with lower highs, but the relative strength index moves upwards with higher highs, traders believe the price will decline.

Regular and hidden RSI divergence

Divergence frequently precedes momentum slowdown instead of immediate reversal. Markets often transition into consolidation before changing direction, which is why many traders wait for structure breaks rather than trading the first divergence signal. For example,  in liquid index markets the first divergence often leads to range formation before trend change.

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In the RSI example chart below, the indicator and the price formed a regular bearish divergence. As a result, the price fell (1). There was another divergence before the fall, but the price decline was short-lived (2). This highlights risks associated with the incorrect signals the RSI divergence may provide.

An example of the RSI divergence

RSI Failure Swings: A Reversal Signal

Another signal that traders can consider is failure swings of the RSI which occur before a strong trend reversal. Although it is less common than the others, traders can add it to their list of tools.

The theory suggests traders don’t consider price actions but look at the indicator alone.

  • Bullish reversal. A trend may turn bullish when the RSI breaks below 30, leaves the oversold area, falls to 30 but doesn’t cross it and rebounds, continuing to rise.
  • Bearish reversal. A trend may reverse down when the RSI enters the overbought area, crosses below 70, and returns to 70 but bounces and continues falling.

An example of RSI failure swings

Failure swings lose significance during volatility expansion events such as economic releases, when directional movement is driven by repricing rather than momentum decay.

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In the chart above, the RSI trading indicator broke below 30, left the oversold area, and retested the 30 level (1). At the same time, the price formed the bottom, and the downtrend reversed upwards (2).

Failure swings are more common on short-term timeframes and do not always reflect a trend reversal. Therefore, traders combine the RSI with trend and volume indicators.

The RSI can be used to identify a trend direction. Constance Brown, the author of multiple books about trading, noticed in her book Technical Analysis for the Trading Professional that the RSI indicator doesn’t fluctuate between 0 and 100. In a bullish trend, it moves in the 40-90 range. In a bearish trend, it fluctuates between 10 and 60.

To identify the trend, traders consider support and resistance levels. In an uptrend, the 40-50 zone serves as support. In a downtrend, the 50-60 range acts as resistance.

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An example of trend determination using the RSI

In the chart above, the RSI stayed above 40 as the price was moving in a solid uptrend. Once it broke below the 40-50 support level (1), the trend changed (2).

However, there may be incorrect signals. In the chart below, the RSI broke below the support level twice, but the trend didn’t change.

An example of unsuccessful trend detection using RSI

Ranges may vary depending on the trend strength, price volatility, and the period of the RSI.

RSI and Simple Moving Average

Usually, the RSI indicator consists of a single line. However, there are variations of the indicator. It can be combined with the simple moving average. The moving average usually has the same period as the RSI.

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The rule is that when the RSI breaks below the SMA, the price is supposed to fall (1). When the RSI rises above the SMA, the price is expected to increase (2).

RSI and Simple Moving Average

However, there are some aspects to consider. Firstly, traders avoid using RSI/SMA cross signals in the ranging market as the lines move close to each other and cross all the time, providing many fake signals. Secondly, a cross doesn’t determine the period of a rise or a fall. Traders use additional tools to identify where the price may turn around.

Note: The RSI is sensitive to volatility clustering. During news-driven sessions the indicator’s thresholds lose value because price movement is distribution-driven rather than momentum-driven.

RSI Trading Strategies Used by Professional Traders

Professional use of the RSI typically involves integrating the indicator into structured trading frameworks rather than relying on single signals. Several widely used approaches illustrate how momentum analysis can support decision-making.

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What Is the 70-30 RSI Trading Strategy?

70-30 RSI Trading Strategy

The 70-30 RSI strategy simply uses the overbought and oversold RSI readings to identify potential turning points. However, instead of simply going short above 70 (overbought RSI) and long below 30 (oversold RSI), traders typically apply a few levels of refinement.

Entry:

  • Traders determine if the trend is bullish or bearish.
  • They apply a trend filter. The RSI can produce false signals in a strong trend, showing overbought for a long time in a bullish trend and vice versa. They often use the 70-30 strategy to look for shorts when the price rallies in a downtrend and longs when the price dips in an uptrend.
  • They enter the market when the RSI crosses back into the normal range. For instance, they’ll open a short trade when the RSI falls back below 70, indicating that a potential bearish reversal may be underway.

Stop Loss:

  • Stop losses are often set beyond a nearby swing point.

Take Profit:

  • Profits might be taken at an area of support or resistance when the RSI hits the opposite extreme (e.g. 70 when long), or when other indicators signal a price reversal.

Mean-reversion RSI strategies statistically depend on market volatility compression. As volatility expands, breakout continuation tends to dominate over oscillator reversal signals.

50-60 and 40-50 Trading Strategies

50-60 RSI Trading Strategy

What is the 50-60 RSI trading strategy? The 50-60 RSI strategy works on the idea that the market shows bullish momentum above 50, with 60 acting as a resistance level. When the price breaks through 60, it can signal that bullishness is strong, offering a potential entry point.

Note:

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  • Despite the name, the same logic can be applied in a bearish trend, where 40 acts as a support level.
  • This strategy is popular in markets with a strong trend. Indices, such as the S&P 500 and Nasdaq 100, or commodities like gold, that exhibit strong trends are often chosen by traders.

Entry:

  • Traders may enter the market when the price crosses above 60 for the first time.
  • Alternatively, they might wait for a pullback to 60 before going long.

Stop Loss:

  • A stop loss may be set beyond the nearest major swing point or just beyond the entry candle on a pullback.
  • Alternatively, some traders manually stop out if the price crosses below 50.

Take Profit:

  • Profits might be taken when the price crosses below 50, giving room for the trade to run in a strong trend. However, this may limit potential returns when trading on short-term timeframes. Therefore, some traders prefer the closest resistance levels.

Typical RSI Strategy Comparison

Strategy type

Market condition

RSI role

Timeframe

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Reversal

Range-bound

Overbought/oversold entries

M5–H1

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Trend pullback

Trending market

Entry timing

M15–H4

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Divergence

Reversal zones

Momentum confirmation

H1–D1

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Scalping

High liquidity sessions

Short-term signals

M1–M15

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RSI Meaning in Trading: Forex, Stocks, and Crypto* Markets

The RSI is applied across asset classes, but it behaves differently because persistence characteristics vary. Equity indices exhibit autocorrelation, currencies exhibit mean reversion around macro levels, and digital assets display momentum clustering. RSI interpretation should therefore be adjusted to the instrument’s structural behaviour rather than fixed thresholds.

In forex trading, where macroeconomic factors often drive sustained directional moves, the RSI is commonly used to identify pullbacks within trends rather than outright reversals. Currency pairs can remain overbought or oversold for extended periods when central bank policy or macro data supports a strong directional bias.

What is the RSI indicator in the stock market? In the stock markets, the indicator is frequently applied to mean-reversion strategies around key support and resistance levels. Stocks tend to exhibit more frequent range-bound behaviour than major currency pairs, making traditional overbought-oversold interpretations somewhat more applicable.

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Cryptocurrency* markets, characterised by high volatility and rapid sentiment shifts, often produce extreme RSI readings. In this environment, divergence analysis becomes particularly valuable, as momentum frequently weakens before price reverses.

How to Use the Relative Strength Index with Other Indicators

In professional trading systems, the RSI is rarely used in isolation. Combining momentum analysis with trend, volatility, and volume tools may help traders filter signals and false entries.

RSI with MACD

RSI and MACD (moving average convergence divergence) are oscillators. However, they measure momentum differently, which allows one to confirm the signals of another. Usually, traders look for RSI overbought/oversold signals and MACD divergence. For instance, when the RSI is in the oversold zone but the MACD has a bullish divergence with the price chart, traders consider this a confirmation of a coming price rise. Read our article RSI vs. MACD.

RSI with Moving Averages

Early signals are one of the limitations of the RSI indicator. Therefore, traders often combine them with lagging technical analysis tools. An exponential moving average (EMA) is one of the options. Traders add two EMAs with different periods to the chart and wait for a cross to confirm the trend reversal signal the RSI provided.

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RSI with Bollinger Bands

Bollinger bands are used similarly to the RSI, showing when the market is possibly overbought or oversold. Used together, these two indicators can provide confluence; for example, if the RSI indicates overbought and the price has closed through the upper band, then there may be an increased likelihood of a bearish reversal, and vice versa.

RSI with On-Balance Volume (OBV)

The on-balance volume (OBV) is a tool that tracks volume to confirm trends. Paired with the RSI, it has two uses. The first is that it can indicate trend strength. If the RSI is falling alongside the OBV, the bearish trend is likely genuine and vice versa. The second is confirming divergences. The OBV can diverge from the price like the RSI, so if both diverge, a reversal may be inbound.

Using RSI on Trading Platforms

Most trading platforms include the RSI as a standard built-in indicator. Platforms such as MetaTrader 4 and MetaTrader 5 allow traders to adjust periods, apply smoothing, and set custom alert levels. Also, you can implement the RSI indicator into your trading strategy on TradingView and TickTrader platforms, which also allow you to set up the indicator for your unique trading style.

Professional traders often integrate RSI signals into multi-timeframe analysis. For instance, a higher-timeframe RSI reading may define directional bias, while a lower-timeframe signal provides entry timing. This approach reduces the likelihood of trading against broader market momentum.

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Pros and Cons of the RSI Indicator

Although the relative strength index is one of the most popular indicators, it has limitations. Let’s explore the two sides of the coin.

Benefits of the RSI in Trading

The relative strength index is a useful tool because of:

  • Numerous signals. The RSI provides different signals so traders with different trading approaches can add it to their tool list.
  • Numerous assets and timeframes. One of its advantages is that you can use the RSI on any timeframe of any asset. What does the RSI stand for in stocks? The same thing that it stands for in forex, commodity, and cryptocurrency* markets.
  • Simplicity. Despite the wide range of signals, it’s easy to remember them. If you are familiar with other oscillators such as the stochastic oscillator, you will quickly learn how to use the RSI indicator.
  • Standard settings. Although you can change the period of the RSI, its standard period of 14 is used in many trading strategies.
  • Working signals. The RSI is one of the most popular trading tools. However, the reliability of its signals depends on trader skills and market conditions.

Limitations and False Signals of RSI

Although the RSI is a functional tool, there are some pitfalls traders should consider.

  • Weak at trend reversals. The indicator may provide early signals when spotting trend reversal.
  • False signals. The relative strength index isn’t a very popular tool in ranging markets.
  • Lagging indicator. The RSI is based on past price data, meaning it may be relatively slow to react to sudden movements.
  • Overbought/oversold conditions can persist. In strong trends, prices may remain above 70 or below 30 for long periods, leading to premature entries and exits.

Note: The RSI does not determine price direction; it measures the condition of the current move. Its primary value lies in distinguishing continuation conditions from exhaustion conditions.

Final Thoughts

The Relative Strength Index continues to play a central role in technical trading across forex, equities, and cryptocurrency* markets. Its value lies not in reflecting reversals in isolation but in providing insight into the strength and sustainability of price movements. When used alongside trend analysis, volatility measures, and volume indicators, the RSI becomes a powerful component of structured trading strategies.

For traders operating in leveraged CFD and forex markets, proper application involves combining the indicator with broader analytical tools, adapting settings to the trading timeframe, and maintaining disciplined risk management.

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You can consider opening an FXOpen account today to build your own trading strategy in over 700 instruments with tight spreads from 0.0 pips and low commissions from $1.50 (additional fees may apply).

FAQ

What Does the RSI Stand For?

RSI stands for relative strength index. It’s a momentum-based indicator that measures the speed and magnitude of price movements.

What Is the RSI Setting?

The only setting of the Relative Strength Index is the period, which reflects the number of past candles used to calculate average gains and losses, affecting how sensitive the RSI is to price changes. The default period is 14, though shorter or longer settings may be applied depending on trading style and timeframe.

How Traders Use the RSI Indicator

The RSI moves between 0 and 100, with >70 meaning the asset is overbought and <30 meaning oversold. It can be used to spot potential market reversals and confirm trend strength.

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Is RSI Used in Forex Trading?

Yes. The RSI is widely used in forex to identify pullbacks, confirm trends, and detect divergence signals.

How Do Traders Use RSI Divergence?

Divergence between price and RSI is often used to identify weakening momentum and potential reversals, particularly when confirmed by other indicators or price-structure analysis.

What Is the RSI in Stocks?

The RSI meaning in stocks refers to the same RSI indicator used in other asset classes. It’s used to gauge buying and selling pressure.

Is High RSI Bullish or Bearish?

A high RSI (above 70) signals bullish momentum, suggesting an overbought market and a potential soon downward reversal.

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*Important: At FXOpen UK, Cryptocurrency trading via CFDs is only available to our Professional clients. They are not available for trading by Retail clients. To find out more information about how this may affect you, please get in touch with our team.

This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.

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Crypto World

HYPE Token Shows Net Daily Emission as HyperCore Buybacks Fall Short of Rewards

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • HyperCore repurchased 16,809 HYPE on March 15, 2026, at an average price of approximately $37.41 per token.
  • Staking and validator rewards totaled 26,822 HYPE on the same day, exceeding buybacks by 10,013 HYPE net.
  • The buyback mechanism is price-sensitive, repurchasing more tokens when HYPE prices fall and fewer when prices rise.
  • HYPE confirmed a 15.16% technical breakout after cleanly flipping a key horizontal resistance zone into new support.

HYPE, the native token of Hyperliquid, is drawing close attention from crypto market participants. On March 15, 2026, HyperCore repurchased 16,809 HYPE at an average price of approximately $37.41.

On the same day, 26,822 HYPE were distributed as staking and validator rewards. The resulting net difference came to 10,013 HYPE per day.

Separately, technical analysts confirmed a breakout, with the token gaining more than 15% during the period.

HyperCore Buyback Data Reveals Net Token Emission

According to Hyperliquid Hub, HyperCore repurchased 16,809 HYPE on March 15, 2026. Staking rewards and payments across 24 validators totaled 26,822 HYPE on the same day.

Subtracting the buyback from distributed rewards produces a net daily emission of 10,013 HYPE. Monthly, that figure equates to approximately 300,390 HYPE.

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On an annual basis, the current pace projects to around 3,604,680 HYPE per year. For reference, Solana distributes roughly 25.19 million SOL annually through staking and validators.

Hyperliquid’s output is far smaller, reflecting tighter supply management. The protocol remains among the lower-emission networks when placed alongside major layer-1 chains.

The buyback mechanism carries price sensitivity within its structure. Higher HYPE prices mean each dollar of protocol revenue repurchases fewer tokens.

Conversely, lower prices enable more aggressive repurchases, creating natural supply stabilization. This counter-balance helps moderate supply pressure across different phases of the market.

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Hyperliquid Hub pointed to the platform’s flywheel as a broader driver of buyback activity. Greater HIP-3 adoption leads to increased trading activity on the platform.

Higher trading volume generates more protocol revenue, which then funds larger repurchases. Over time, this cycle is expected to gradually reduce the net emission gap.

HYPE Price Action Confirms Technical Breakout Above Resistance

Alpha Crypto Signal reported that HYPE broke cleanly above a key horizontal resistance zone. The level converted to support without any fakeout wick appearing on the chart.

A retest of the former resistance followed, and price held the new support firmly. After confirming that level, the token then advanced 15.16%, with momentum remaining intact.

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The breakout matched the technical setup the analyst had previously flagged. Price action during the retest period showed no signs of weakness or exhaustion.

The clean flip from resistance to support added credibility to the continuation move. Analysts observed that the next resistance levels were already coming into range.

On the broader chart, the price move connects to Hyperliquid’s growing platform activity. Higher trading volume on the network generates more protocol revenue for buybacks.

Larger buyback activity, alongside the net emission data, shapes a constructive supply picture. Both technical structure and on-chain fundamentals remain aligned for HYPE at this point.

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The gap between daily distributions and repurchases provides a clear metric to follow. As platform adoption grows, this figure is expected to attract greater market attention. Analysts view the daily buyback data as a useful barometer of protocol health.

 

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Venus Protocol Hit by $3.7M Supply-Cap Attack

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Crypto Breaking News

Venus Protocol, a decentralized lending and borrowing platform, reported on Sunday that it detected suspicious trading activity in the liquidity pool for the Thena (THE) token, the native asset of the Thena DeFi protocol. The anomaly appeared to affect only two pools—CAKE, the native token of PancakeSwap, and THE—and prompted an immediate, precautionary pause on all borrows and withdrawals related to THE. The pause will remain in place while investigators review the activity and determine appropriate next steps.

Key takeaways

  • Venus Protocol paused all THE borrows and withdrawals amid an active investigation into unusual pool activity, signaling an abundance of caution during a multi‑asset incident.
  • Allez Labs, described as Venus Protocol’s risk manager, attributed the episode to a supply cap attack executed in two phases, combining a rapid accumulation of the THE market cap with a lending attack.
  • The attacker reportedly used the Theta token as collateral to borrow large quantities of CAKE, USDC, BNB, and BTC, amplifying a liquidity crunch in the affected pools.
  • Total losses from the attack are estimated to exceed $3.7 million, according to Wu Blockchain, with additional halts imposed on low-liquidity tokens as a precaution.
  • Thena’s THE price moved lower in reaction to the incident, trading around $0.2255 at the time of reporting, down roughly 17% over the prior 24 hours, per market data.
  • The incident underscores ongoing security and cyber-risk challenges in DeFi, even as overall hack losses in February registered a notable decline before phishing and social‑engineering threats rose again.

Tickers mentioned: $BTC, $CAKE, $USDC, $BNB, $THE, $THETA

Sentiment: Neutral

Price impact: Negative. THE’s price fell about 17% in the 24 hours leading up to the report as details of the incident emerged and risk concerns escalated.

Trading idea (Not Financial Advice): Hold. Monitor the investigation’s findings, the status of THE pool, and any subsequent risk‑management measures announced by Venus Protocol or its partners.

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Market context: The attack arrives as the sector grapples with sophisticated on‑chain exploits and the broader DeFi liquidity environment. February’s data from PeckShield showed total crypto losses from hacks at $49 million—the lowest in nearly a year—yet security incidents continue to shift toward social engineering and phishing, indicating that user education remains critical amid growing ecosystem complexity.

Why it matters

The Venus Protocol incident highlights the fragility that can accompany high‑leverage DeFi ecosystems where attackers exploit complex interactions across multiple pools. By leveraging THE as collateral to borrow CAKE, USDC, BNB, and BTC, the attacker sought to lock in a sizable position while exploiting liquidity imbalances in the THE pool. The decision to pause all THE borrows and withdrawals signals a governance and risk team that is prioritizing containment and forgoing near‑term liquidity for long‑term safety.

From a risk‑management perspective, the episode exposes the limits of automated checks when faced with layered attack vectors, including supply cap strategies and cross‑pool collateralization. Allez Labs’ assessment that the attack unfolded in two phases—first accumulating a dominant chunk of THE’s supply, then leveraging it to drain liquidity via lending—underscores how attackers may align price manipulation, liquidity capture, and debt creation in a coordinated sequence. The disclosure also reinforces the value of explicit risk monitoring partners in DeFi ecosystems, where independent assessments can accelerate detection and response.

For users and lenders, the event serves as a reminder of the importance of cautious borrowing, diversified collateral, and awareness of pool liquidity conditions across platforms. While DeFi continues to deliver permissionless access to capital, incidents like these demonstrate that security controls—such as circuit breakers and pause protections—remain essential tools in mitigating cascading losses during abnormal markets. The rapid public disclosure by Venus Protocol and the involvement of a risk manager in framing the incident illustrate a broader industry push toward transparency in the wake of major exploits.

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The February security landscape—with a pivot toward phishing and social‑engineering schemes despite a fall in hack losses—also reflects the ongoing tension between on‑chain mechanics and off‑chain social risk. Industry observers note that as DeFi grows, attackers increasingly target user interfaces, private keys, and approval workflows, making user education a critical component of systemic resilience. The current case reinforces the need for robust auditing, real‑time monitoring, and cross‑protocol collaboration to reduce the blast radius of such attacks.

The full narrative around the THE pool incident and its implications for DeFi risk management is still developing, but the immediate actions taken by Venus Protocol illustrate a measured approach to crisis containment, prioritizing asset preservation and orderly disclosure over rapid liquidity restoration.

What to watch next

  • Updates from Venus Protocol on the investigation’s progress and the duration of the THE pool pause.
  • Announcements from Allez Labs detailing the root cause analysis and any proposed mitigations or governance proposals.
  • Whether any portion of the stolen assets are recovered, or if liquidations and collateral redemptions proceed as investigators gather more data.
  • Any changes to liquidity provisions for THE, CAKE, and related assets across Venus and connected DeFi ecosystems, including potential audits or security enhancements.
  • Regulatory or platform‑level responses that might affect cross‑pool collateralization or risk‑rating frameworks in DeFi lending markets.

Sources & verification

  • Venus Protocol official status on X detailing the pause and ongoing investigation: https://x.com/VenusProtocol/status/2033206484935344251
  • Allez Labs’ remarks identifying the two‑phase supply cap and lending attack: https://x.com/AllezLabs/status/2033239532355858536
  • Wu Blockchain reporting on total losses tied to the incident: https://x.com/WuBlockchain/status/2033173968346120495
  • THE price reference on CoinMarketCap: https://coinmarketcap.com/currencies/thena/
  • Nominis monthly report on February crypto hacks and attacks: https://www.nominis.io/insights/nominis-monthly-report-crypto-hacks-and-attacks-in-february-2026

Key figures and next steps

Rewritten Article Body

Market reaction and key details

The Venus Protocol incident began with a signal of irregular activity centered on the Thena (THE) pool, prompting an immediate, protocol‑level pause on THE borrows and withdrawals. The move, described as precautionary, aims to prevent a further spillover while investigators parse the sequence of events that allowed the attacker to capitalize on THE liquidity. The pause is explicit in Venus’ communications and remains in place until a full assessment is complete.

The attacker’s approach, as outlined by Allez Labs, involved a supply cap attack designed to accumulate a dominant share of THE’s on‑chain supply in two stages. In parallel, a lending attack was executed, leveraging Theta (CRYPTO: THETA) as collateral. This allowed the attacker to borrow a substantial amount of CAKE (CRYPTO: CAKE), USDC (CRYPTO: USDC), BNB (CRYPTO: BNB), and BTC (CRYPTO: BTC). The combination of market capture and debt creation appears to have stretched the liquidity of the affected pools and increased risk exposure across Venus’ lending market.

Public disclosures show that 6.67 million CAKE, 1.58 million USDC, 2,801 BNB, and 20 BTC were among the assets borrowed using Theta as collateral. Out of an abundance of caution, Venus also halted withdrawals and borrowing for other tokens with relatively low liquidity on the platform, a decision that underscores the potential for cross‑asset contagion in a congestion event. The total value implicated in the attack has since been cited as over $3.7 million, amplifying concerns about the pace at which DeFi platforms can respond to sophisticated exploits.

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At the time of reporting, THE traded around $0.2255, reflecting a material drop as traders digested the security event and its implications for the DeFi stack. The price move aligns with typical market responses to exploit disclosures, where risk premia rise and liquidity pools tighten in the wake of uncertain asset backing. The broader price action for THE remains contingent on the recovery of funds, ongoing risk disclosures, and the ability of Venus to restore user confidence through transparent remediation efforts.

Investigators contacted by the press noted that Theta’s role as collateral injected a cross‑protocol dynamic into the attack scenario. Theta is a major participant in its own ecosystem, and the incident highlights how collateral quality and pool design interact in complex ways when attackers execute multi‑step strategies. The breakdown of normal pool behavior, in conjunction with a targeted accumulation of THE, illustrates the evolving risk landscape for liquid markets where yield farming, flash loans, and cross‑collateralization intersect with governance and liquidity provisioning.

From a governance and ecosystem perspective, the incident reinforces the importance of real‑time risk frameworks and independent risk management capabilities within DeFi protocols. The collaboration between Venus Protocol, Allez Labs, and other security researchers is a positive sign that platforms are moving toward more robust, auditable controls to detect and defuse such attacks before they precipitate broader losses. It also emphasizes the need for user education around approval flow vigilance and the dangers of reusing keys or compromising wallets during high‑volatility periods.

As the investigation unfolds, market participants will be watching how Venus communicates remediation plans, what protections are introduced to prevent similar exploits, and how liquidity recovery strategies are executed to minimize downtime for affected pools. The incident also contributes to the ongoing dialogue about the resilience of cross‑chain DeFi, the role of risk managers in rapidly identifying and tokenizing threats, and the importance of rapid, transparent disclosures in maintaining user trust during periods of stress.

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In sum, the Venus Protocol event illustrates both the ingenuity of attackers and the adaptive measures that DeFi platforms are employing to safeguard users. While the exact financial impact is still being quantified, the incident underscores the need for continuous improvement in risk assessment, rapid incident response, and robust governance processes in decentralized finance ecosystems.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Is Bittensor (TAO) the Next Big Crypto Move? Investors Point to Revenue, Scarcity, and ETF Filings

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TLDR:

  • Bittensor’s (TAO) active subnets grew fourfold from 32 to 129 following the dTAO launch in early 2025.
  • The top three compute subnets reached a combined $20M ARR just three months after monetization was activated.
  • A TAO price of $1,000 would represent under 1.5% of the projected $1.4 trillion AI market by 2028.
  • Grayscale and Bitwise have both filed for spot TAO ETFs, potentially opening access to institutional capital.

A growing number of crypto investors are pointing to Bittensor’s $TAO token as a serious candidate for a major price move. The case being made is not based on speculation alone.

It draws on subnet revenue data, token supply mechanics, and institutional filing activity. With $TAO trading near $268 today, the path to $1,000 is being examined with real numbers rather than market sentiment.

Real Revenue Numbers Are Changing How Investors View $TAO

Crypto analyst Tanaka recently published a detailed breakdown of why he is accumulating $TAO. Central to his thesis is the revenue now being generated across Bittensor’s active subnets.

The network has grown from 32 subnets to 129 since dTAO launched in early 2025, a fourfold increase within months.

More telling than the subnet count is the monetization speed. The top three compute subnets combined have reached $20 million in annual recurring revenue. That figure arrived roughly three months after monetization was switched on across those networks.

Taragon Compute (SN4) leads with approximately $10.4 million ARR, serving enterprise clients through confidential computing.

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Chutes AI (SN64) follows at around $4.3 million ARR, processing over 120 billion tokens daily at rates 85% cheaper than AWS. Lium.io (SN51) adds further traction by offering the lowest H100 GPU rental pricing currently on the market.

These are payments from real customers, not projections. For investors watching the asset, the shift from narrative-driven buying to revenue-backed conviction marks a meaningful turning point.

The Math Behind $1,000 and What Would Need to Happen

$TAO carries a fully diluted valuation of roughly $5.6 billion at current prices. A move to $1,000 would push that figure to approximately $21 billion.

Tanaka frames that as under 1.5% of the $1.4 trillion AI market projected by 2028, making the target appear less extreme in context.

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Subnet ARR would need to scale to between $200 million and $500 million to support that valuation. Going from zero to $20 million in three months gives some investors confidence that trajectory is not unrealistic. Tanaka places the $1,000 target within a 12–18 month window.

Token supply mechanics are also working in the asset’s favor. A recent halving cut new emissions by 50%, and approximately 68% of the total supply is currently staked. That combination reduces sell pressure while demand continues to build.

Grayscale and Bitwise have each filed applications for spot $TAO exchange-traded funds. Approval of either filing would open the door to a new category of institutional buyers. Investors following the asset closely see that development as a potential accelerant toward the $1,000 level.

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BIS Warns Stablecoins Can Depeg Even with Full Reserves: Here’s Why

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TLDR:

  • A fully collateralized stablecoin can still depeg if its reserves cannot be accessed during a run.
  • The BIS compares stablecoins to Eurodollars, noting they lack central bank settlement and repo facilities.
  • Stablecoins mirror 19th-century wildcat banks, operating across fragmented jurisdictions with no shared backstop.
  • Emerging stablecoin regulations follow the same path that brought lasting stability to traditional banking systems. 

Stablecoins face a structural vulnerability that full collateralization alone cannot resolve. The Bank for International Settlements raised this concern in a recent paper titled “On Par: A Money View of Stablecoins.”

Crypto research firm Delphi Digital shared the findings on social media, noting reserves mean little without proper access mechanisms.

The analysis draws parallels between stablecoins and historical banking failures. It compares them to both Eurodollars and 19th-century wildcat banks, pointing to regulation as the path forward.

The Collateral Problem Stablecoins Cannot Escape

A stablecoin can hold enough reserves to cover every dollar in circulation and still depeg. The critical question is whether those reserves can be accessed when market pressure demands it.

Without that access, even fully backed stablecoins remain vulnerable to sudden redemption runs. Collateral ratios alone do not guarantee stability during a crisis.

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The BIS paper compares stablecoins directly to Eurodollars — private dollar deposits held offshore outside U.S. regulatory reach. Traditional banking maintains par value through central bank settlement and primary dealer networks.

Standing repo facilities and a lender of last resort further stabilize the system under stress. Stablecoins currently have none of these tools available.

Delphi Digital stated on X that “if there’s a run, there’s no forward market, no credit facility, and no mechanism to absorb the pressure before it hits the reserves directly.”

That absence of institutional backstops creates a fragility that reserve ratios cannot address. The gap between holding reserves and deploying them quickly remains a central, unresolved problem.

This vulnerability becomes most visible during periods of sharp market stress. When redemption demand spikes, issuers must liquidate reserves quickly and under pressure.

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Without any institutional buffer, that process can accelerate a depeg rather than prevent it. The result is a feedback loop that turns a manageable outflow into a broader crisis.

Wildcat Banking and the Road to Stablecoin Regulatory Stability

The BIS paper extends its comparison beyond Eurodollars, likening stablecoins to the wildcat banks of 19th-century America.

Those institutions operated across fragmented jurisdictions without uniform oversight or shared infrastructure. The parallel to today’s stablecoin market is direct and observable.

Delphi Digital noted that wildcat banking, despite its early instability, eventually gave way to federal oversight and consolidation.

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That regulatory evolution made the traditional banking system functional at the national scale over time. The trajectory for stablecoins appears to follow the same historical pattern.

The current fragmentation across different blockchains and jurisdictions mirrors that earlier era of banking. Multiple issuers operate under differing rules, with no shared settlement layer or system-wide backstop in place. That inconsistency makes achieving broader, durable stability difficult without coordinated oversight.

Regulatory frameworks now taking shape across major markets aim to address these structural gaps directly. Legislation in the U.S., Europe, and Asia is beginning to impose reserve standards and licensing requirements on stablecoin issuers.

These measures closely echo the same principles that brought lasting stability to traditional banking over the past century.

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Vitalik Buterin: Proof-of-Stake Is More Secure and Resilient Than Proof-of-Work

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TLDR:

  • Proof-of-Stake requires acquiring over $80 billion in ETH to mount a successful attack on the Ethereum network.
  • Ethereum’s slashing mechanism automatically burns the coins of validators who sign two conflicting messages.
  • If one-third of validators censor the chain, a community-coordinated soft fork can restore honest operations.
  • Proof-of-stake security scales with network value, making Ethereum harder to attack as ETH’s price rises.

Proof-of-stake has become one of the most discussed topics in blockchain security. Ethereum co-founder Vitalik Buterin recently outlined why it offers stronger protection than proof-of-work.

His explanation covered attack costs, the slashing mechanism, and network recovery options. Currently, more than 37 million ETH are staked on Ethereum, with another 3 million waiting in the validator queue. Some estimates suggest the cost to attack Ethereum now exceeds even the cost of attacking Bitcoin.

Why Attacking a Proof-of-Stake System Is Economically Prohibitive

Buterin made clear that an attacker must acquire a stake comparable to the rest of the network. To threaten Ethereum today, that means sourcing well over $80 billion worth of ETH. This kind of capital requirement creates an enormous barrier that is difficult to overcome in practice.

Buterin explained the concept directly, stating: “I think proof of stake is very secure because to attack the system, you need to have basically as much stake as the rest of the network. Right now, for example, we have 5 million ETH staking, which means you have to come up with 5 million ETH and then join the network.” That figure has since grown past 37 million ETH, raising the threshold considerably higher.

Beyond the initial cost of acquiring stake, an attacker also risks losing those same funds after the attack. This is a penalty that does not exist in proof-of-work, where mining equipment can simply be redirected after an attack. The dual risk of high cost and asset loss makes a proof-of-stake attack far less appealing.

Buterin also addressed this from a broader security perspective, saying: “The security needs of a thing have to be proportional to the size of that thing, because as a thing gets bigger, its enemies become bigger and more well-motivated.

Security in a proof-of-stake system therefore scales naturally with the overall value of the network, making it increasingly harder to compromise over time.

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Slashing and Community Coordination Provide Layered Defenses

Slashing is a built-in feature that guards against attempts to revert finalized Ethereum blocks. To carry out such an attack, validators would need to sign two conflicting messages on the network. Once those messages are detected, the protocol burns the ETH of every validator involved.

Buterin described the mechanism in clear terms: “In order to revert a finalized block, you basically have to have a big portion of your validators sign two conflicting messages. Once these messages are on the network, you can go and prove ‘these people did it.’ So we have this feature in the protocol where you basically take all these people who provably misbehaved and you burn their coins.” This process runs automatically, without any human involvement.

Ethereum also has a contingency for censorship attacks, where a third of validators stop attesting. In that scenario, Buterin outlined the community response: “Everyone who got censored would create a minority chain, and the community would have to do a soft fork. They would have to say, ‘this chain is clearly attacking us and this one is not attacking us, so we’re going to join this chain.’”

Following that fork, the attacking validators would also face heavy losses to their staked ETH.

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Buterin further noted what sets proof-of-stake apart from proof-of-work in this regard: “The difference between proof-of-stake and proof-of-work is that in a proof-of-stake system, you can identify specific participants — and this isn’t a human going in and saying ‘I don’t like you’. It’s all automated.” This level of precision makes proof-of-stake a considerably more resilient consensus model overall.

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Injective Flips Bearish Structure After Monthly Order Block Holds: What’s Next for INJ?

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TLDR:

  • Injective (INJ) price fell nearly 95% from its peak before stabilizing at a higher-timeframe demand zone.
  • A strong rebound of roughly 4500% followed the reaction from the monthly order block support area.
  • Analysts identified a market structure shift after the asset broke its long-term lower-high trend.
  • Liquidity targets near $16, $35, and $53 remain visible if higher-timeframe demand continues holding.

The Injective (INJ) price is drawing attention after analysts identified a macro structural shift on the monthly chart. The asset recorded a sharp 95% decline before rebounding from a higher-timeframe demand zone, suggesting renewed accumulation interest.

Deep Market Correction Resets Injective Structure

The Injective (INJ) price experienced a major correction after reaching its previous cycle peak. The decline erased nearly 95% of its value during the broader market downturn.

Such drawdowns are common in cryptocurrency cycles. Many digital assets undergo deep retracements before stabilizing at lower valuation levels.

These periods usually remove leveraged positions and speculative activity. As liquidity exits the market, long-term investors often begin evaluating discounted entry zones.

In the case of the Injective (INJ) price, the extended correction placed the asset inside a large monthly expansion zone. Price remained under pressure before eventually reaching a higher-timeframe demand region.

Technical analysts identify such areas as zones where institutional accumulation previously occurred. Markets frequently react when price returns to those levels.

This perspective reflects how many market participants interpret deep corrections during long market cycles.

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Strong Demand Reaction Points to Potential Expansion

Injective (INJ) price reacted strongly once it reached the monthly order block. The market moved upward rapidly after touching the demand zone.

The rebound produced an expansion estimated at roughly 4500% from the local bottom. Such displacement often signals strong buying pressure entering the market.

Large bullish candles following a demand test usually indicate liquidity absorption. This occurs when buyers absorb sell orders positioned near support.

Analysts also identified a market structure shift on the monthly timeframe. Earlier price action formed a pattern of lower highs and lower lows.

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That structure changed once the market invalidated the previous bearish pattern. The shift indicated a possible transition toward macro accumulation.

After the strong rally, the Injective (INJ) price entered a corrective phase. Markets often consolidate after impulsive moves to create new liquidity zones.

Traders are now watching whether weekly higher lows develop inside the demand area. Sustained support would strengthen the bullish structure already visible on the chart.

Liquidity targets above the market appear near $16, $35, and $53. These zones align with previous resistance levels and potential stop clusters.

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For now, the Injective (INJ) price remains near a key structural region. Market participants continue tracking higher-timeframe support for further confirmation.

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Bitcoin Eyes Critical Support Levels as Analysts Stay Bullish and Saylor Signals More Institutional Buying

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TLDR:

  • Bitcoin rejected the $74,040 high and is currently holding support at the $70,500 price level this week.
  • Analyst Lennaert Snyder stays cautiously bullish with stop losses secured above the $73,900 resistance zone.
  • A liquidity sweep below $68,950 is viewed as a potentially stronger bullish setup than a direct breakout move.
  • MicroStrategy holds 738,731 BTC at a $75,863 average entry as Saylor signals continued Bitcoin accumulation ahead.

Bitcoin is drawing attention from traders and major institutions heading into this week. The cryptocurrency is trading at $71,369.32 after a notable price rejection near the $74,040 high.

Market participants are keeping a close eye on two key support levels right now. The broader outlook stays cautiously bullish, though some short-term price swings remain possible.

Both retail and institutional players are actively adjusting their positions for what lies ahead.

Bitcoin Price Action and Key Levels to Watch

The recent price move saw Bitcoin take out buy-side liquidity on an attempt to break the $74,040 level. After that push, the price met a sharp rejection and pulled back to hold near $70,500. Traders are now watching closely to see if that support holds in the coming days.

Crypto analyst Lennaert Snyder weighed in on the current price setup via social media. He stated his short positions are secured and described himself as “cautiously bullish” for the week ahead. His stop losses are placed above the $73,900 high, reflecting a risk-managed approach to the trade.

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The central question among traders is whether Bitcoin holds at $70,500 or dips to sweep liquidity near $68,950. Snyder noted that a liquidity sweep below $68,950 could actually produce a stronger bullish outcome. Either way, he sees both price scenarios as carrying a bullish tone in the near term.

Should a sweep below $68,950 play out, traders will look for reversal signals before entering long positions. Alternatively, a clean break above the $74,040 high could trigger continuation trades. The overall market structure supports a watchful but optimistic stance as the week unfolds.

MicroStrategy and Saylor Signal Further Bitcoin Accumulation

MicroStrategy’s Michael Saylor is once again pointing toward more Bitcoin buying in the near future. His latest public signal, “Stretch the Orange Dots,” is widely seen as a reference to extending the company’s acquisition timeline. The message was shared as the market continues to trade below MicroStrategy’s average entry price.

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The company’s Bitcoin treasury now totals 738,731 BTC based on the most recent available data. This makes MicroStrategy one of the largest corporate Bitcoin holders anywhere in the world.

The firm has built up this position through a consistent long-term accumulation strategy across several market cycles.

MicroStrategy’s average entry price for its Bitcoin holdings stands at $75,863 per coin. At the current trading price of $71,369.32, the company carries unrealized losses on its overall position. Despite that, the firm has shown no signs of reducing its holdings through past market downturns.

Saylor’s fresh signal comes at a time when the broader market stands at a critical price level. Corporate accumulation has been a recurring theme in recent Bitcoin market cycles.

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MicroStrategy’s continued buying stance reflects long-term institutional commitment that has remained firm through market volatility.

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Tesla Terafab: Elon Musk’s $25 Billion Chip Factory That Could Disrupt the Semiconductor Industry

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TLDR:

  • Tesla’s Terafab targets 1 million monthly wafer starts by 2030, nearly matching TSMC’s current output capacity.
  • The $20–25B chip factory covers logic, memory, and advanced packaging under one roof at 2nm scale.
  • Tesla’s AI5 chip is reportedly 3x more efficient than Nvidia’s Blackwell at under 10% of the cost.
  • Jensen Huang warns Tesla may underestimate the years of expertise required to run a leading-edge fab.

Terafab, Tesla’s newly announced semiconductor manufacturing project, is set to begin construction within seven days.

The initiative targets 2-nanometer process technology and will cover logic chips, memory, and advanced chip packaging under one roof.

Tesla has put the estimated cost at between $20 billion and $25 billion. The move comes as chip demand from Tesla’s AI, robotics, and automotive programs outpaces current supply. Musk warned about this constraint for months, calling it a direct threat to Tesla’s broader ambitions.

Tesla Sets Target of One Million Wafer Starts Monthly by 2030

Tesla’s wafer production targets are substantial by any industry measure. The company aims to reach one million wafer starts per month by 2030.

TSMC, the world’s leading chipmaker, currently produces around 1.42 million wafers each month. Tesla, therefore, wants to nearly match the output of the most advanced foundry on the planet.

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Musk addressed the strategy directly in a recent statement. He noted that Tesla plans to start small, make early mistakes, then build a much larger operation.

The Terafab facility targets the 2-nanometer process node. That is the same standard that TSMC and Samsung are racing to achieve.

Tesla holds over $44 billion in cash and investments on its balance sheet. That reserve provides the financial base to fund the project.

The facility will house logic chips, memory, and advanced chip packaging in one location. This approach gives Tesla direct control over its chip supply chain.

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As reported by MilkRoad AI, Musk confirmed that drone footage will document the construction live on X. The public will watch the project develop in real time.

Tesla’s AI5 chip, currently made by Samsung in Texas, is reportedly three times more power-efficient than Nvidia’s Blackwell. It also reportedly costs less than 10% of comparable Nvidia pricing.

Industry Experts Weigh In on the Complexity of Building a Chip Fab

Not everyone in the industry views Terafab with the same confidence. Nvidia CEO Jensen Huang publicly stated that Musk may be underestimating the difficulty involved.

Process expertise of that kind takes years to build. No company, he noted, develops that level of engineering capability overnight.

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Beyond construction, leading-edge semiconductor manufacturing carries enormous technical risk. Cleanroom engineering, process chemistry, and supply chain coordination must all function with precision.

Even established players like Intel have faced delays at the leading edge. Tesla, as a newcomer to fab operations, faces a steep learning curve ahead.

Tesla’s case, however, centers on supply chain control rather than ambition alone. Even with TSMC and Samsung running at full capacity, chip supply remains short of what Tesla requires.

Autonomous vehicles, humanoid robots, and AI supercomputers all need a steady flow of advanced silicon. Without that supply, Tesla’s expansion roadmap faces real constraints.

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Terafab could reshape Tesla’s identity as a company if it succeeds. The automaker would shift from being a chip buyer to a chip producer.

That transition would fundamentally change how the business operates. Construction is set to begin within the week, with global attention already fixed on the project.

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Crypto’s age of hype is over, making way for the real infrastructure to be built

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Crypto’s age of hype is over, making way for the real infrastructure to be built

Leah Callon-Butler recently wrote that crypto’s rock-and-roll era is over, and she’s mostly right about the arc. But I lived inside the music industry when rock and roll actually died, and there’s more to the story.

I was a product lead at Universal Music during the torrent era. I sat in the rooms where executives decided to sue grandmothers instead of building Spotify. I watched them spend more on lawyers than on artists. And eventually, I got fired for pointing out that we’d already lost.

So when someone uses rock and roll as a metaphor for what’s happening in digital assets, I know what the metaphor actually contains.

Here’s what the rock and roll era ending actually looked like from the inside. The loudest, most exciting part of the culture died while the boring infrastructure underneath it quietly became the thing that mattered. The rock stars disappeared. The streaming executives took over. And the audience grew even as the culture grew less interesting.

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Callon-Butler frames this as a kind of mourning. The cypherpunk dream was diluted by ETFs and institutional custody. The laser eyes meme worn by presidents. And yeah, I understand the grief. I felt it watching Universal Music pivot from breaking artists to optimizing playlists.

But here’s where the music industry parallel actually gets useful, and nobody talks about this part.

The labels survived. They wrapped streaming and called it innovation. They went from fighting Napster to owning equity in Spotify. The same executives who wanted to destroy file sharing ended up profiting from the infrastructure file sharing forced into existence. The establishment absorbed the revolution and rebranded it.

That’s what’s happening right now with digital assets. JP Morgan is doing what Universal did with streaming. They’re wrapping the thing they fought and calling it a product. And just like with music, the audience is going to get bigger, the infrastructure is going to get better, and the culture is going to get less interesting. That part Callon-Butler nails.

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But the part she misses is what happened next in music. Something the establishment couldn’t absorb.

While Universal was busy becoming a streaming company, ten thousand teenagers with blogs and bedroom studios were building something labels couldn’t wrap. The Swedish death metal kid. The Brazilian baile funk producer. The Detroit techno archaeologist. They didn’t know about each other. They didn’t even know Universal mattered. They just wanted to document what they loved.

And collectively, without any coordination, they created something institutions couldn’t replicate: infinite specificity. Every possible taste has its own ecosystem. Every microgenre has its own distribution channel. The monoculture dissolved into something so granular that no corporate structure could reassemble it.

The rock and roll era is obviously over. The question is what’s being built in the quiet spaces where the institutions aren’t looking.

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Stablecoins are moving value across borders for people who’ve never heard of DeFi. Tokenized assets are creating markets in places where traditional finance never bothered to show up. Self-custody tools are getting quietly better while everyone’s distracted by ETF inflows. The boring infrastructure that makes the next wave possible.

I grew up in Argentina. I watched a government freeze bank accounts overnight and tell people their dollars were now worth a third of what they were yesterday. That experience teaches you something about money that stays with you forever. And it teaches you that the people who build the plumbing during the quiet periods are the ones who matter when things get loud again.

Callon-Butler asks whether crypto will stay weird. I’d reframe the question. The music industry stayed weird. It just stopped being weird in the places the executives were watching. The weirdness migrated to the edges, to bedroom producers, niche communities, and distribution channels that didn’t need permission.

Crypto’s rock-and-roll era ending is the most bullish thing that can happen to the industry. It means the adults showed up, and the adults bring capital that doesn’t leave when the vibes change. Crypto needs boring institutional plumbing. And that’s exactly what’s being built right now.

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But somewhere out there, some kid in Lagos or Buenos Aires or Beirut is building something on these rails that nobody in a boardroom has imagined yet. They don’t even know the establishment exists. They just need the infrastructure to work.

That’s the beginning of the interesting part.

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Divergent Reactions to the Iran War Shock

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Global markets faced a real-time stress test as the 2026 Iran crisis escalated, amplifying concerns about energy flows and liquidity. Traders watched as risk sentiment swung and traditional safe-haven dynamics were tested in ways not seen for years. While gold initially benefited from demand for security, Bitcoin weathered the shock with pronounced volatility followed by a partial rebound, highlighting its evolving role in the risk-off landscape. The Strait of Hormuz, through which a substantial share of global oil moves, emerged as a pivotal flashpoint, reminding investors that energy disruption can rapidly reframe macro drivers. The episode underscored how macro forces—dollar strength, inflation expectations and bond yields—can override crisis-driven flows for both conventional assets and digital ones.

Key takeaways

  • The 2026 Iran conflict produced a broad market shock, underlining how geopolitical events can reallocate capital across traditional and crypto assets as traders reassess inflation threats and supply-chain resilience.
  • Gold initially climbed on safe-haven demand but later retreated as the U.S. dollar strengthened and Treasury yields rose, illustrating how macroeconomic forces can eclipse crisis-driven buying in the near term.
  • Bitcoin experienced sharp intraday volatility but demonstrated resilience by rebounding after the initial drawdown, signaling a growing role as an alternative hedge amid liquidity shifts.
  • The strength of the U.S. dollar acted as a dominant driver for both assets, as demand for dollar liquidity tended to suppress non-yielding instruments during periods of stress.
  • The episode highlighted a structural divergence between traditional safe-haven assets and digital stores of value, inviting investors to rethink the “digital gold” narrative in the context of evolving liquidity and regulatory landscapes.

Tickers mentioned: $BTC

Market context: The episode fits within a broader framework of liquidity crunches, risk-off sentiment, and macro-driven price discovery that continue to shape both precious metals and crypto markets in times of geopolitical tension.

Why it matters

The Iran crisis offered a rare, real-world test of the long-held claim that Bitcoin can act as a safe-haven asset alongside gold. In the opening phase of the conflict, markets repriced risk across assets as traders sought liquidity and hedges amid rising energy concerns and potential supply shocks. While gold’s bid strength reflected its status as a centuries-old reserve asset, the subsequent pullback—at least in the short term—demonstrated how a strengthening dollar and higher yields can erode even the most trusted crisis hedges. This dynamic is instructive for investors who previously treated gold as an almost guaranteed ballast in crisis periods and who are now increasingly considering how digital assets might complement traditional portfolios under pressure.

Bitcoin, often described as “digital gold,” showed a more complex reaction. The asset moved with broad market liquidity and sentiment rather than reacting solely to geopolitical headlines. After a volatile start, Bitcoin (CRYPTO: BTC) staged a recovery that underscored its growing liquidity depth and investor interest as an option for diversification in stressed environments. The price path—marked by intraday declines followed by partial recoveries—illustrates how Bitcoin remains tethered to overall risk appetite and market ability to absorb shocks rather than acting as a pure hedging instrument on its own. This evolving behavior matters for institutions and retail participants weighing how digital assets fit into a risk-management toolkit during geopolitical disruptions.

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The crisis also illuminated the role of macro drivers beyond geopolitics. As energy markets priced in potential disruption to flows through the Strait of Hormuz, crude prices surged and broader stock indices retreated. At the same time, the dollar’s strength emerged as the prevailing force in determining relative value across assets. When the dollar strengthens, non-yielding assets—like gold and Bitcoin—face headwinds as capital seeks dollar liquidity and yield-bearing instruments. This interplay between macroeconomics and geopolitics helps explain why neither asset delivered a unidirectional, sustained safe-haven rally in the conflict’s initial phase.

In the longer horizon, the episode emphasizes a nuanced distinction between established safe havens and newer digital instruments. Gold’s entrenched role in central banks’ portfolios and its long-standing history of crisis hedging continue to confer credibility. Bitcoin, by contrast, benefits from growing adoption and a broader, more diverse set of drivers—network usage, regulatory developments, and market structure improvements—that collectively influence its reaction to broader risk shifts. The narrative is not a binary of one asset outperforming another during crises; it is a testimony to the evolving landscape where traditional stores of value and digital assets coexist as components of diversified risk management.

To ground this analysis in verifiable facts, the crisis highlighted concrete data points: about 20% of the world’s oil moves through the Strait of Hormuz, a chokepoint that amplifies energy-price sensitivity during geopolitical tensions; the market saw gold prices rise initially but later retreat as the U.S. dollar strengthened and U.S. Treasury yields rose; Bitcoin traded a wide range before stabilizing in a mid-$70,000 vicinity in early March. Central-bank dynamics also surfaced, with gold reserves measured around 36,000 metric tons among major holders, reflecting the enduring importance of official sector demand in precious metals markets. The broader takeaway remains: while Bitcoin is carving out a legitimate, evolving role in the risk-off spectrum, it has not yet settled into a predictable safe-haven pattern like gold, and its behavior is increasingly tied to liquidity conditions and investor sentiment across asset classes.

What to watch next

  • Monitor how Bitcoin (BTC) trades in response to fresh geopolitical headlines and any shifts in global risk appetite over the coming weeks.
  • Track oil prices and energy-market developments tied to Hormuz-related disruption fears, as these will influence inflation expectations and macro liquidity conditions.
  • Watch central-bank communications and gold reserve updates, particularly from major holders, as these can affect the relative appeal of gold as a crisis hedge.
  • Observe regulatory signals and policy developments affecting cryptocurrencies in major jurisdictions, which can alter liquidity and institutional participation.

Sources & verification

  • Energy data showing roughly 20% of world oil passes through the Strait of Hormuz (EIA): https://www.eia.gov/todayinenergy/detail.php?id=65504
  • Oil price and market reaction coverage during the Iran-related escalation (Reuters): https://www.reuters.com/business/energy/oil-soars-25-gold-drops-iran-war-jolts-global-commodity-markets-2026-03-09/
  • Euro area central-bank gold holdings and related data (ECB): https://www.ecb.europa.eu/press/other-publications/ire/html/ecb.ire202506.en.html#:~:text=Global%20holdings%20of%20gold%20by%20central%20banks%20now%20stand%20at%2036%2C000%20tonnes
  • Bitcoin price commentary and milestones during late February and early March 2026 (Cointelegraph): https://cointelegraph.com/news/bitcoin-price
  • “Store of value” debates and Bitcoin-led analyses cited in related Cointelegraph features (e.g., https://cointelegraph.com/features/can-bitcoin-really-be-a-store-of-value-what-pension-funds-are-starting-to-discover)
  • Discussion on Bitcoin as a store of value amid policy shocks referenced in NYDIG coverage (https://cointelegraph.com/news/bitcoin-acts-store-of-value-amid-trump-policy-chaos-nydig)

What the article shows: A closer look at the crisis and crypto

Bitcoin (CRYPTO: BTC) is increasingly seen as a hedge option beyond its role as a payment network and speculative asset. Yet the Iran crisis underscores that its safe-haven credentials are not unconditional. The asset’s success in cushioning portfolios will depend on liquidity, market depth, and the trajectory of macro indicators such as dollar strength and interest rates. Gold’s steadiness as a traditional crisis hedge remains a touchstone for risk managers, while Bitcoin’s evolving dynamics suggest a more nuanced, hybrid function within diversified strategies.

As the market digests the 2026 Iran shock, investors will be watching whether BTC proves its ability to absorb shocks with less volatility than risk assets or if liquidity constraints continue to dictate its price path. The divergence between gold and Bitcoin in this episode does not diminish the potential for both to coexist as components of a resilient portfolio, but it does recalibrate expectations for how these assets respond under extreme geopolitical stress and macro uncertainty.

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Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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