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Scalping Indicators in Forex and CFD Trading

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Scalping Indicators in Forex and CFD Trading

Scalping is a trading style based on frequent transactions within short timeframes, often lasting only a few seconds or minutes. The objective is to capture small Scalping indicators are technical tools that signal entries and exits in forex and CFD markets. They are typically applied on 1-minute to 5-minute charts during very short-term trades. These forex scalping indicators process price, momentum, and volatility data into structured readings. They suit conditions defined by tight spreads, fast execution, and small price fluctuations.

Scalpers execute many trades over minutes or seconds, aiming to capture minor price moves in active markets. Technical indicators offer the structured signals needed to support these fast decisions. This article covers the main indicators for scalping and their application to intraday trading.

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Common scalping indicators include:

  • Exponential Moving Average (EMA): smooths recent prices to indicate trend direction.
  • Hull Moving Average (HMA): a faster moving average designed to reduce lag.
  • Relative Strength Index (RSI): a momentum oscillator measuring overbought and oversold conditions.
  • Bollinger Bands: volatility bands set around a moving average.
  • Stochastic Oscillator: measures the closing price relative to a recent trading range to identify momentum.
  • MACD: compares two moving averages to identify momentum and trend direction.

Role of Indicators in Short-Term Execution

As you may know, scalping is a trading strategy where traders aim to take advantage of small price movements by executing numerous trades within short timeframes, often closing trades within a few minutes. This approach requires swift decision-making and precise timing.

Technical indicators may be important tools in this context, as they provide real-time data and insights into market trends, momentum, and volatility. Using these indicators, traders can identify optimal entry and exit points, potentially enhancing their ability to navigate the rapid pace of the market.

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Below, we’ll break down five indicators for scalping. You’ll find these scalping indicators in MT4 and MT5, and TradingView. Also, you can get started in seconds with FXOpen’s TickTrader trading platform.

Indicators in scalping are typically used for:

  • Trend identification: spotting whether price is moving directionally.
  • Entry timing: pinpointing moments to act on a setup.
  • Volatility assessment: gauging how widely the price is swinging in real time.

Moving Averages

Moving averages (MAs) are considered by some to be the most popular indicator for scalping, smoothing out price data to help identify trends by calculating the average price over a specific period. In scalping, where quick decisions are crucial, certain types of moving averages can be useful.

Exponential Moving Average (EMA)

Unlike the Simple Moving Average (SMA), which assigns equal weight to all data points, the EMA gives more significance to recent prices, making it more responsive to current market movements. This responsiveness is advantageous for scalpers.

Common EMA settings for scalping include 5, 9, and 20 periods, depending on chart timeframe. For instance, a 9-period EMA reacts swiftly to recent price changes, potentially providing timely signals for entry and exit points. The EMA for scalping may also act as dynamic support or resistance during trending price action.

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Hull Moving Average (HMA)

Developed by Alan Hull, the HMA further reduces lag. It does this by weighting recent prices more heavily and applying a different calculation. The result is a moving average that tracks price action more closely while smoothing noise.

Applying Moving Averages in Scalping

  • Crossover Strategy: Scalpers often use two EMAs of different lengths. A common approach involves a fast EMA (e.g., 5-period) and a slow EMA (e.g., 15-period). When the fast EMA crosses above the slow EMA, it may indicate a bullish trend, suggesting an entry point for a buy trade or an exit point for a short trade. Conversely, when the fast EMA crosses below the slow EMA, it may signal a bearish trend, indicating a potential entry for a sell trade or moment to close a long trade.
  • Trend Confirmation: The EMA and HMA can be used to confirm trends identified by other indicators. For example, if the moving average is sloping upwards, it may confirm an uptrend, supporting decisions to enter long positions. If it’s sloping downwards, it may confirm a downtrend, supporting decisions to enter short positions.
  • Pullbacks: In trending markets, traders often monitor pullbacks to the EMA as potential continuation entries.

You can find these scalping indicators in TradingView and FXOpen’s TickTrader trading platform.

Relative Strength Index (RSI) in Scalping

The Relative Strength Index (RSI) is a well-known scalping indicator that measures the speed and change of price movements, oscillating between 0 and 100. Traditionally, an RSI above 70 indicates overbought conditions, while below 30 suggests oversold conditions.

In scalping, traders often adjust the RSI from its typical length of 14 to shorter periods, such as 7 or 9, to capture rapid price swings occurring over minutes. This adjustment makes the RSI more sensitive to recent price changes, providing timely signals for quick trades. Shorter RSI scalping settings between 2 and 6 periods are also commonly used on very fast timeframes.

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Applying RSI in Scalping

  • Overbought/Oversold Levels: When the RSI moves beyond 70 or drops below 30, traders watch for potential reversal points. However, scalpers may focus on the RSI’s movement back into the 30-70 range as an early sign of momentum shifting.
  • Divergences: Scalpers also look for divergence between price movement and the RSI. For example, if the price reaches a new high but the RSI does not, it may signal a weakening trend and possible reversal. This divergence may support traders in anticipating quick market shifts.
  • Midpoint (50 Level): The 50 level serves as a midpoint, indicating the balance between gains and losses. An RSI crossing above 50 may suggest bullish momentum, while dropping below 50 can indicate bearish momentum. Scalpers use this midpoint to assess the prevailing market trend.

Bollinger Bands

Bollinger Bands are a technical analysis tool comprising three lines: a simple moving average (SMA) in the middle, with upper and lower bands set at a specified number of standard deviations from the SMA. These bands expand and contract based on market volatility, providing a visual representation of price fluctuations. Squeeze conditions, where the bands narrow sharply, often precede expansion and stronger directional moves.

In scalping, traders often adjust Bollinger Bands scalping parameters to shorter timeframes, such as 1-minute or 5-minute charts, to capture quick price movements. A common approach involves setting the SMA period to 7-10 and the standard deviation to 1.5-2, potentially enhancing sensitivity to short-term market changes.

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Applying Bollinger Bands in Scalping:

  • Bollinger Squeeze: When the bands contract, indicating low volatility, it often precedes significant price movements. Scalpers watch for a breakout above or below the SMA. When the price breaks above the SMA, it may signal that the price will rise, and vice versa.
  • Reversal: Price breaching the upper band may suggest overbought conditions, while below the lower band may indicate oversold conditions. Scalpers use these signals to anticipate potential price reversals.

Stochastic Oscillator

The Stochastic Oscillator is a momentum indicator that compares an asset’s closing price to its price range over a specific period, typically 14. It includes the %K line, the current closing price relative to the range, and the %D line, a moving average of %K. The scale runs from 0 to 100, where readings over 80 suggest overbought levels, and those under 20 point to oversold levels. The Stochastic Oscillator is more popular in range-bound markets than in strong trends.

In scalping, traders may adjust the Stochastic Oscillator to shorter settings, such as 5,3,3, to increase sensitivity to rapid price movements. This adjustment may help in capturing short-term market fluctuations.

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Applying the Stochastic Oscillator in Scalping:

  • Overbought and Oversold Conditions: When the %K line crosses the %D line in the overbought (above 80) or oversold (below 20) zones, it can signal a potential reversal. Scalpers use these crossovers as quick alerts for shifts in momentum, helping them to act swiftly in volatile markets.
  • Crossovers: Besides extreme conditions, traders also monitor crossovers between %K and %D. A %K line crossing above %D from a lower level can suggest an upward move, while a downward crossover may hint at a short-term price decline.
  • Divergence: If the price makes a new high/low but the Stochastic Oscillator does not, it may signal a weakening trend, indicating a potential reversal.

Moving Average Convergence Divergence (MACD)

The Moving Average Convergence Divergence (MACD) is a widely used scalping indicator. It’s a momentum indicator that reflects the relationship between two moving averages. It comprises the MACD line (the difference between the 12-period and 26-period exponential moving averages), the signal line (a 9-period EMA of the MACD line), and a histogram, which illustrates the gap between the two lines.

Scalpers prefer to adjust these settings to 3, 10, and 16, respectively, to make the MACD more responsive to rapid price movements.

Applying MACD in Scalping:

  • Crossovers: When the MACD line crosses above the signal line, it may indicate bullish momentum; a crossover below suggests bearish momentum. Scalpers monitor these crossovers to identify potential entry and exit points.
  • Histogram Analysis: The histogram represents the difference between the MACD and signal lines. Histogram contraction in the MACD scalping indicator may reflect weakening momentum, while expansion tends to indicate momentum building in the prevailing direction. Scalpers use these changes to gauge the intensity of price movements.
  • Divergences: A divergence occurs when the price moves in one direction while the MACD line moves in the opposite. For example, if the price reaches a new low but the MACD does not, it may reflect a potential upward reversal. Scalpers watch for such divergences to anticipate shifts in market direction.

Indicator Confluence in Scalping

Confluence refers to combining signals from multiple indicators to potentially filter noise and improve signal reliability. Each indicator offers unique insights, and their combined use may help filter out false signals. Here are some pairings:

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  • EMA + RSI → trend direction plus momentum confirmation: Utilising the Exponential Moving Average to identify trend direction alongside the Relative Strength Index to gauge momentum may help traders confirm the strength of a trend before making decisions. For instance, if the EMA indicates an uptrend and the RSI is above 50, it may suggest strong bullish momentum.
  • Bollinger Bands + Stochastic → volatility plus reversal signals: Bollinger Bands measure volatility, while the Stochastic Oscillator identifies overbought or oversold conditions. When prices touch the upper or lower bands and the Stochastic Oscillator reflects overbought or oversold conditions, it may indicate potential reversal points.
  • MACD + RSI → momentum confirmation across two indicators: The Moving Average Convergence Divergence (MACD) highlights momentum changes, and the RSI indicates overbought and oversold conditions. Using them together can support traders in confirming potential entry or exit points. For example, if the MACD shows bullish momentum and the RSI is rising but not yet overbought, it may signal the price will rise.

Indicator Settings Commonly Used in Scalping

The table below summarises typical scalping configurations for each indicator covered above. These are the settings traders most often apply on these indicators for 1-minute trading and 5-minute trading.

Indicator

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Standard Setting 

Common Scalping Setting 

Primary Use 

EMA 

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20, 50, 200 periods 

5, 9, 20 periods 

Trend direction 

HMA 

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16 periods 

9, 14 periods 

Trend direction with reduced lag 

RSI 

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14 periods 

2 to 7 periods 

Momentum, overbought/oversold 

Bollinger Bands 

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20-period SMA, 2 SD 

7 to 10 SMA, 1.5 to 2 SD 

Volatility, reversal zones 

Stochastic 

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14, 3, 3 

5, 3, 3 

Momentum in range-bound markets 

MACD 

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12, 26, 9 

3, 10, 16 

Momentum and crossovers 

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Market Conditions and Indicator Behaviour

Indicator readings shift in reliability depending on the underlying market environment. No single tool performs identically across trend, range, and low-volatility conditions.

In trending markets,  the EMA and momentum indicators such as MACD tend to dominate. Trend-following signals carry more weight when price moves directionally with sustained pressure.

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In range-bound markets, oscillators become more relevant. The Stochastic Oscillator and RSI often produce cleaner reversal signals when price oscillates between defined support and resistance levels. Moving average crossovers may generate frequent false signals in these conditions.

Under low-volatility conditions, signals across all indicator types weaken. Bollinger Bands contract, momentum readings flatten, and crossovers lose meaning. Traders often wait for volatility expansion before acting on indicator-based setups.

Limitations of Indicators in Scalping

Scalping with indicators offers valuable insights, but there are some challenges traders should be aware of:

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  • False Signals: Rapid market movements can trigger misleading signals, causing traders to act prematurely.
  • Overtrading: Relying too heavily on short-term indicators can lead to excessive trades, increasing transaction costs.
  • Market Noise: High volatility and frequent price fluctuations can make it difficult to distinguish genuine trends from random market “noise.”
  • Lagging Indicators: Some indicators may react too slowly, causing traders to miss potential trades.
  • Tuning: Tuning indicators may be necessary to optimise performance. Academic research has tested indicators such as MACD and RSI across multiple developed markets, with results varying by index, period, and parameter settings.

Key Takeaways on Scalping Indicators

Scalping relies on precise and timely decisions, which is why technical indicators play an important role in this trading style. Tools such as moving averages and oscillators provide structured signals that may support traders in navigating fast market movements. The choice of indicators varies depending on individual trading preferences, market conditions, and timeframes.

If you want to test the above-mentioned indicators or find something new for yourself, you can open an FXOpen account to access over 700 markets and trade with tight spreads from 0.0 pips.

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FAQ

What Indicators Are Used for Scalping?

Common scalping indicators include the Exponential Moving Average (EMA), Relative Strength Index (RSI), Bollinger Bands, Stochastic Oscillator, and Moving Average Convergence Divergence (MACD). The Hull Moving Average is also used by some traders. Each tool serves a different function across trend identification, momentum measurement, and volatility assessment on short-term charts.

What EMA Settings Are Used in Scalping?

Common EMA settings for scalping include 5, 9, and 20 periods on 1-minute and 5-minute charts. Traders often pair a fast EMA, such as 5 or 9, with a slower EMA, such as 15 or 20, to monitor crossovers. Shorter periods react faster but may produce more false signals.

Can RSI Be Used for Short-Term Trading?

Yes, the RSI is popular among short-term trading indicators. Scalpers typically reduce the RSI period from the standard 14 to between 2 and 7 to capture rapid price swings. Traders watch for crosses above 70 or below 30, divergences with price, and movement around the 50 midpoint.

How Do Bollinger Bands Work in Scalping?

In scalping, traders often use a 7 to 10 period SMA with 1.5 to 2 standard deviations. Squeeze conditions may precede breakouts, while band touches may indicate reversal zones.

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Yes, indicator reliability shifts with market conditions. In trends, momentum indicators such as MACD and EMAs tend to perform more consistently. In ranges, oscillators such as RSI and Stochastic produce cleaner reversal signals. Under low volatility, signals across all indicator types tend to weaken.

What Is the 1-Minute Scalp Strategy?

The 1-minute scalp strategy involves making rapid trades on a 1-minute chart. Traders look for small price movements and enter multiple trades within a short period, often using scalp trading indicators like the EMA or RSI for quick signals.

What Is the 5-Minute Scalping Strategy?

The 5-minute scalping strategy focuses on capturing short-term price movements on a 5-minute chart. Traders typically combine trend and momentum indicators, like the MACD and Bollinger Bands, to make fast, informed decisions.

Are There Good Stocks for Scalping?

The choice depends on the trader’s risk tolerance, trading approach, experience, and toolkit. However, according to theory, stocks with high liquidity, tight spreads, and significant daily volume are good for scalping. Popular choices include tech giants like Apple (AAPL) and Tesla (TSLA), as they offer frequent price fluctuations. But at the same time, they bear higher risks.

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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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Metaplanet Q1 Operating Profit Rises as Bitcoin Loss Widens

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Metaplanet Q1 Operating Profit Rises as Bitcoin Loss Widens

Tokyo-listed Metaplanet reported first-quarter operating income Wednesday of 2.27 billion Japanese yen (roughly $14.38 million) on net sales of about $19.5 million, implying an operating margin of 73.6% as surging Bitcoin option income more than tripled revenue from a year earlier, according to the company’s Q1 fiscal year 2026 earnings release.

The strong operating performance contrasted with an ordinary loss of around $728 million, driven mainly by non-cash valuation losses as Bitcoin’s price declined during the period, and the company marked its expanding Bitcoin (BTC) holdings lower.

The price of Bitcoin fell around 24% during the quarter, from around $87,000 on Jan. 1 to roughly $66,000 on March 31, according to data from Coingecko.

Revenue for the quarter ending March 31 rose from about $5.5 million a year earlier to about $19.5 million, the filing shows, with the Bitcoin Income Generation business of option premiums and derivative valuation gains contributing the bulk of sales, while hotel operations remained a small, stable contributor.

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BTC price fell 24% in Q1. Source: Coingecko

Metaplanet posted a basic loss of roughly $0.63 per share, widening from a loss of about $0.078 a year earlier, and kept its full-year 2026 outlook unchanged, still forecasting net sales of roughly $101 million and operating profit of about $72 million, while refraining from giving ordinary or net income guidance due to Bitcoin price sensitivity.

Strong operating income offset by Bitcoin valuation loss

Metaplanet ended the quarter holding 40,177 Bitcoin, up from 35,102 at the end of December 2025, after adding about 5,075 BTC in Q1 to become the third-largest publicly listed Bitcoin treasury, through a combination of new equity and Bitcoin-backed borrowing.

Consolidated Financial Results for Q1, FY2026. Source: Metaplanet

On a fully diluted basis, Bitcoin holdings per share increased from 0.0240486 BTC to 0.0247319 BTC, corresponding to a first-quarter BTC yield of 2.8%, which the company highlights as a key performance indicator for shareholder value creation, as it measures Bitcoin per-share growth after dilution.

Metaplanet’s capital structure continued to evolve over the quarter, with total net assets falling from $2.96 billion at Dec. 31 to approximately $2.60 billion, as Bitcoin-related valuation losses outweighed equity raised during the quarter.

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Short-term borrowings also increased as the company drew further on its $500 million Bitcoin-collateralized credit facility, under which it had $302 million outstanding as of May 13, 2026, it said.

Metaplanet shares traded lower on Wednesday in Tokyo, at around 327 Japanese yen (roughly $2.07), down 3.82% at the time of writing from Tuesday’s close, according to data from Yahoo! Finance.

Magazine: Bitcoin will not hit $1M by 2030, says veteran trader Peter Brandt

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Ripple (XRP) Price Predictions for This Week, May 13

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XRP is consolidating above the $1.4 support. Can it test $1.6 next?

Ripple (XRP) Price Predictions: Analysis

Key support levels: $1.4

Key resistance levels: $1.6, $2

Key Resistance About to be Tested?

After a successful defense of the $1.4 support, XRP appears ready to test the key $1.6 resistance. This comes after the price managed to break out of the blue pennant shown in the chart below.

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This breakout is typically a buy signal, but bullish momentum remains shy without a significant rally so far. Nevertheless, this can change in the days and weeks to come, as buyers decide to test the key resistance.

xrp_price_chart_1305261
Source: TradingView

Is a Rally Imminent?

After breaking from the pennant, XRP may enter into a sustained rally. The first challenge is found at $1.6. If that resistance falls, then this cryptocurrency will have a clear path towards $2 next.

While bullish momentum remains low, it can start to build from here, and a breakout above $1.6 would reinforce and encourage buyers to rush to XRP. Right now, the momentum indicators give a bullish bias, but volume remains low. This shows conviction is still not here yet.

xrp_price_chart_1305262
Source: TradingView

Weekly MACD Stays Bullish

With this latest breakout, the weekly MACD continued to make higher histogram highs. This is exactly what we want to see to maintain a bullish bias. As long as this continues, a higher price for XRP remains likely.

Even if buyers remain shy at this time, the price and indicators lean toward the bull side. Once the price starts to move higher, volume can catch up and allow a breakout at $1.6. That would be a necessary development for higher highs later this month.

xrp_macd_chart_130526
Source: TradingView

The post Ripple (XRP) Price Predictions for This Week, May 13 appeared first on CryptoPotato.

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Hotter-than-expected inflation data knocks BTC below $80,000

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Bitcoin, ether little changed before U.S. inflation report: Crypto Markets Today

U.S. producer prices for April came in far hotter than expected on Wednesday, complicating the Federal Reserve’s path forward to ease monetary policy later this year.

The April Producer Price Index rose 1.4% month-over-month, nearly triple economists’ expectations for a 0.5% increase. Annual producer inflation accelerated to 6%, while core PPI excluding food and energy climbed 1% on the month and 5.2% year-over-year, both well above forecasts.

The report reinforced that inflation is reaccelerating after Tuesday’s consumer price index (CPI) rose 3.8% year-over-year, the hottest inflation reading in almost three years.

Bitcoin (BTC), which traded above $81,000 overnight, quickly dropped below the key $80,000 level in the minutes following the release before recovering slightly. The largest cryptocurrency was recently changing hands just above $80,000, down about 0.8% over the past 24 hours.

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Equity futures held relatively steady ahead of the U.S. open, with Nasdaq 100 futures up 0.2% and S&P 500 futures little changed.

The inflation surprise adds another layer of uncertainty for the Fed as policymakers navigate rising energy prices tied to the ongoing Iran conflict and persistent concerns over supply disruptions around the Strait of Hormuz. Higher oil prices risk feeding further into inflation data in the months ahead.

The report could also revive discussion of whether the central bank may need to consider additional tightening rather than cuts, even as President Donald Trump continues to pressure the Fed to lower interest rates.

That backdrop is especially delicate as Kevin Warsh prepares to take over leadership of the central bank, with investors closely watching how the incoming chair will balance slowing growth risks against resurgent inflation pressures.

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Bitcoin may repeat a prior move, 77% odds of ATH in a year

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Crypto Breaking News

Bitcoin could be poised for another push to fresh all-time highs within a year if a familiar price pattern holds, according to research from network economist Timothy Peterson. With BTC hovering around $81,000 after rebounding from a February dip below $60,000, the setup echoes past bear-market recoveries, where BTC rebuilt strength from a -50% to -35% drawdown and then surged higher. The signal sits atop a broader valuation discussion: VanEck analyst Matthew Sigel argues that the Buffett indicator implies a path toward a $160,000 price level if market dynamics align, a scenario that would simply bring Bitcoin in line with equities’ overall asset pricing.

Key points:

  • Bitcoin’s current configuration mirrors a historically favorable window: after falling from -50% to -35% from its all-time high, BTC has often advanced to new peaks within about a year, according to Timothy Peterson’s analysis.
  • As of now, Bitcoin trades near $81,000, with the drawdown from its October 2025 high standing at roughly 35% after a dip below $60,000 in February.
  • Past episodes show that similar recoveries culminated in new all-time highs, a pattern reinforced by on-chain analytics and historical price data.
  • Valuation signals, including the Buffett indicator, have been cited by observers as suggesting a longer-term upward re-rating of Bitcoin could materialize, potentially targeting well into the six-figure range.

Pattern repeats as BTC rebounds from bear-market drawdowns

Timothy Peterson laid out a concise framework for interpreting Bitcoin’s price action when it rebounds from a large drawdown. In a post on X, he noted: “I looked at every time Bitcoin went from a -50% drawdown to a -35% drawdown (the situation we are in today).” The implication is that when BTC retraces from its deepest losses toward a shallower drawdown, historical precedent favors a resume of bullish momentum that can culminate in a new all-time high within roughly a year.

Bitcoin’s recent path has featured a sharp correction that began in earnest during the 2022 bear market, followed by a multi-quarter recovery. In February, BTC briefly dipped below the $60,000 level, deepening its drawdown against the all-time high around $126,200. Since then, the price has rebounded to around $81,000, narrowing the drawdown to about 35% versus that October 2025 peak, according to data from TradingView. The cycle aligns with Peterson’s narrative: a shift from the harsher drawdown toward a less severe trough often precedes renewed upside momentum.

Historical precedents and what they imply

To contextualize the current setup, market analytics platform Glassnode provides a longer lens on drawdowns in Bitcoin’s price history. Glassnode data illustrate that during the last major drawdown, the market didn’t stabilize at a 35% retreat from the prior all-time high until December 2023—roughly two years after the peak. That period of stabilization preceded Bitcoin’s next notable price peak in March 2024, underscoring a pattern in which extended bear-market correction can set the stage for a renewed ascent later in the cycle.

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The narrative that a measured rebound often follows a deep drawdown aligns with several prior cycles. After the 2022 bear market saw an extreme drop, the subsequent period of consolidation and resilience culminated in a fresh breakout in the following year. While not a guaranteed outcome, the historical sequence—deep drawdown, slower recovery, then new highs—has appeared with sufficient frequency to merit attention from believers in a cyclical, macro-driven recovery.

Valuation signals and the Buffett indicator

Beyond pure price action, a separate line of reasoning centers on valuation. VanEck’s Matthew Sigel has argued that Bitcoin appears cheap relative to equities when viewed through the Buffett indicator—the ratio of the total US stock market to GDP. In a post on X, Sigel suggested that if Bitcoin were to regain the level implied by the 35x XBT/XAU cross embedded in that indicator, the price could potentially reach around $160,000. He framed the scenario as a re-pricing mechanism that would bring Bitcoin in line with where equities already stand on a valuation basis.

“Bitcoin looks cheap,” he told X followers. “If it regains the 35x XBT/XAU cross implied by current levels of the Buffett Indicator, we’re looking at $160k, and that’s just catching up to where equities already are.”

The Buffett indicator has long been cited as a broad gauge of whether risk assets are over- or under-priced relative to macro fundamentals. In the Bitcoin context, proponents see it as a cross-asset justification for higher prices if the market’s risk premium shifts in step with the equity complex. Critics, however, caution that the indicator is a back-tested, broad-strokes tool and should be interpreted within a wider set of catalysts, including adoption trends, on-chain activity, and regulatory developments.

What this means for investors and traders

The convergence of a pattern-based setup and valuation commentary creates a nuanced scene for market participants. On one hand, Peterson’s drawdown framework—paired with recent resilience—offers a probabilistic case for upside in the months ahead, especially if Bitcoin can sustain momentum through key liquidity and macro crossroads. On the other hand, the signal is not a guarantee. The broader macro environment remains uncertain, with geopolitical tensions, regulatory scrutiny, and shifting risk appetites continuing to shape crypto markets.

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Traders may watch several factors closely. On-chain indicators that track capitalization cycles and exchange flows could reveal whether new supply is entering the market in a way that sustains a rally. Additionally, any shifts in macro policy or inflation expectations could influence the pace at which risk assets reprice, including Bitcoin. While the Buffett-indicator perspective adds an intriguing long-term valuation narrative, it should be weighed alongside price action, market sentiment, and the evolving regulatory backdrop that continues to influence institutional participation in crypto markets.

In this context, the next few months could prove pivotal. If the historical tendency of a post-drawdown rally holds, BTC might test fresh highs within the year. If, however, macro risks intensify or demand falters, the path could diverge from the prior cycles. What remains certain is that investors will be watching both the price drivers and the broader narrative around Bitcoin’s role in portfolios as a non-sovereign store of value and a networked medium of exchange in an increasingly digitized financial landscape.

As the market navigates these crosscurrents, observers will likely weigh both the momentum signals from previous cycles and the evolving macro framework that could either validate or challenge the notion of a swift transition to new all-time highs.

Keep an eye on evolving data points and market commentary in the coming weeks, including on-chain metrics, global macro guidance, and any shifts in institutional commentary on Bitcoin’s long-run role in diversified portfolios.

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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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BNB price eyes double bottom pattern breakout, will it move past $700?

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BNB price has formed a double bottom on the weekly chart

BNB price climbed higher this week as bulls attempted to confirm a breakout from a bullish double bottom pattern forming on the weekly chart.

Summary

  • BNB price climbed toward the $680 neckline of a bullish double bottom pattern, with a breakout potentially opening the door for a rally toward $800.
  • Market sentiment improved amid speculation surrounding spot BNB ETF applications from Grayscale and VanEck, alongside growing institutional access through Teucrium’s XBNB ETF.
  • Expanding Real-World Asset integrations on BNB Chain, including BlackRock’s BUIDL and Franklin Templeton’s BENJI via Securitize, strengthened the network’s long-term utility narrative.

According to data from crypto.news, BNB (BNB) price rose over 2% over the past week to trade near $679 at press time, pushing its market capitalization above $96 billion. The token has now recovered sharply from its April lows near $580 as investor sentiment around the Binance ecosystem improved.

BNB’s latest rally appears to have been driven by a combination of institutional and ecosystem-related catalysts unique to the token. Market speculation surrounding pending spot BNB ETF applications from major asset managers such as Grayscale and VanEck has fueled optimism that the token could attract broader institutional participation if approved.

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Investor sentiment also strengthened following the successful tracking performance of the recently launched Teucrium 2x Long Daily BNB ETF (XBNB), which expanded institutional wrapper access to BNB and increased exposure opportunities for traditional market participants.

At the same time, growing RWA adoption on the BNB Chain has further reinforced the network’s long-term utility narrative. Recent integrations involving BlackRock’s BUIDL and Franklin Templeton’s BENJI through Securitize have strengthened expectations that the chain could play a larger role in tokenized finance infrastructure.

On the weekly chart, BNB appears to have formed a bullish double bottom pattern over the past several months, with two major lows established around the $580 region. The neckline of the pattern sits near the $680 resistance zone, which the token is currently attempting to reclaim.

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BNB price has formed a double bottom on the weekly chart
BNB price has formed a double bottom on the weekly chart — May 13 | Source: crypto.news

Typically, a confirmed breakout above the neckline of a double bottom pattern signals a potential trend reversal and often opens the door for a rally equal to the height of the formation. Based on the current structure, a successful breakout above $680 could position BNB for a move toward the $780–$800 region in the coming months.

A look at other technical indicators also supports the improving bullish outlook. The MACD histogram has started turning positive after weeks of fading bearish momentum, while the MACD line appears to be curling upward toward a bullish crossover. This suggests that buying momentum may gradually be returning.

Meanwhile, the RSI has also rebounded from oversold territory and currently sits near the neutral 46 level, indicating that BNB still has room for additional upside before entering overbought conditions.

The recent recovery is also notable because BNB had been under pressure in recent months amid renewed scrutiny surrounding Binance’s compliance operations in the U.S. That uncertainty contributed to weaker sentiment earlier this year, though price action now suggests sellers may be losing control near the $580 support zone.

For now, the key resistance level remains near $680, which serves as the neckline of the double bottom formation. A decisive weekly close above that area could strengthen the bullish case and increase the chances of a move past the key $700 psychological level.

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On the downside, the $650 and $600 regions remain important support zones that bulls will likely need to defend to maintain the current recovery structure.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

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Bitcoin vs XRP: Ripple CTO Reveals the Fatal Incentive Flaw in BTC

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Ripple CEO Sends Strong XRP Signal From Las Vegas

David Schwartz, Ripple’s chief technology officer emeritus, urged the crypto industry to revisit a Stanford lecture explaining why block production rewards undermine blockchain networks like Bitcoin instead of securing them.

Schwartz shared the recording on X, saying it was the one video he wished every crypto participant would watch. The talk, originally delivered at Stanford, lays out the rationale behind the XRP Ledger’s original design choices.

Bitcoin Mining Rewards Force a Race to the Bottom

In the lecture, the architect behind the XRP Ledger argues that proof of work mining demands honest participants spend more than attackers are willing to pay. He calls this possibly the worst imaginable security model.

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According to Schwartz, competitive mining pushes operators to cut every cost and exploit every available revenue stream. He cited Ethereum validators who game decentralized finance (DeFi) protocols by testing and reordering transactions for profit before sealing blocks.

“You have to be evil or you lose.”

That dynamic, Schwartz argues, leaves natural stakeholders, meaning the people who actually use the network, paying for security through fees while operators extract additional value during block production.

He says Bitcoin (BTC) miners and Ethereum stakers both fit this pattern. Both groups exist because the protocol pays them, he contends, not because they share users’ interests in keeping fees low or transactions fair.

Ripple CTO: The Best Incentive Is No Incentive

Schwartz summed up the thesis as “the best incentive is no incentive,” meaning a system works better when validators are not paid to participate. He designed the ledger in 2012 without block production rewards, relying on participants who already benefit from reliable consensus rather than on operators paid to validate transactions.

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Validators on the XRPL only choose between equally valid ways to order transactions. Because there is nothing material to extract from the system, Schwartz argues there is no financial incentive to attack the network or collude against good actors.

He claims the result is lower fees, faster confirmations, and resistance to the value extraction that has plagued Ethereum’s decentralized exchanges. XRP currently trades around $1.47 while Bitcoin holds near $81,220, according to BeInCrypto data.

The argument lands as Ethereum sinks deeper into proof of stake and Bitcoin approaches a future where transaction fees must replace block subsidies. Whether Schwartz’s framework gains traction may depend on how DeFi protocols handle persistent miner extractable value losses across major networks in 2026.

The post Bitcoin vs XRP: Ripple CTO Reveals the Fatal Incentive Flaw in BTC appeared first on BeInCrypto.

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Pi Network (PI) faces mild bearish pressure: Check forecast

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XLM bounces from $0.15 lows, but bears remain in control
Kresus Teams Up With Canton to Push Blockchain From Pilot to Production

Key takeaways

  • Pi Network (PI) is currently consolidating within a descending wedge pattern on the 4-hour chart.
  • The deployment of cross-chain contracts on the BSC and OP testnets is part of the ongoing mainnet upgrades, expanding Pi Network’s capabilities.

PI extends consolidation within descending wedge pattern

Pi Network (PI) is trading in the red on Wednesday, down 1%, continuing its consolidation within a descending wedge pattern on the 4-hour chart. 

Despite the current bearish price action, the technical outlook remains mildly bullish. PiChain Global, a key player within the Pi Network ecosystem, has recently deployed cross-chain contracts on the BSC and OP testnets, signaling that ongoing upgrades are bringing new capabilities to the Pi Network ecosystem. 

In an update posted on X, PiChain Global announced the successful deployment of cross-chain smart contracts on two blockchain testnets: BSC (Binance Smart Chain) and Optimism’s OP testnet, built on Ethereum. 

The move highlights the growing cross-chain functionality within Pi Network, expanding its capabilities. PiChain also plans to integrate this functionality into its PCM wallet, while temporarily pausing its Meeta social app due to resource limitations.

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This new development is part of the Pi Core Team’s ongoing push for the mainnet upgrade, which has now reached Stellar Protocol v23 on Pi Network’s testnet. 

The mainnet nodes must complete this upgrade by Friday to remain connected to the network, and if successful, the upgrade will unlock similar cross-chain functionality on the mainnet, broadening the utility of the PI token.

PI price forecast: potential bullish breakout from descending wedge 

The PI/USD 4-hour chart is bearish and efficient. At press time, Pi Network is consolidating between the $0.1700 mark and the May 9 high of $0.1766 on the 4-hour chart. 

This consolidation is bounded by two key trendlines—an overhead trendline from April 29 and May 6 highs, and a support trendline from April 30 and May 8 lows. 

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Short-term momentum is recovering on the 4-hour chart. The Moving Average Convergence Divergence (MACD) remains above its signal line, with positive histogram bars contracting toward the zero line. 

The Relative Strength Index (RSI) is showing a steady rise in the mid-range at 46, while the price holds above the key $0.1700 level, signaling a positive divergence. 

If the bulls regain control, immediate resistance is found at the short-term descending trendline around $0.1766. 

A sustained break above this resistance level would help lift the current cap and pave the way for a potential move toward the May 6 high at $0.1881.

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PI/USD 4H Chart

However, if the market undergoes a correction, initial support is at the psychological $0.1700 level, followed by the active descending support trendline near $0.1670. 

If the price breaks below this support level, it could trigger a deeper pullback, potentially weakening the broader consolidation structure.

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Why the copper-to-gold breakout could point to bitcoin (BTC) breakout

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Why the copper-to-gold breakout could point to bitcoin (BTC) breakout

The copper-to-gold ratio has broken above its 200-day moving average for the first meaningful time since September 2020, a development that has historically coincided with the early stages of bitcoin bull markets.

The ratio currently stands at 0.00142, with copper trading at $6.65 per pound and gold near $4,700 per ounce. Previous surges in the ratio during 2013, 2017, and 2021 aligned with major gains in bitcoin prices.

The correlation coefficient between bitcoin and the copper-to-gold ratio currently sits at -0.11, though it has rebounded sharply from -1.00. This suggests the two assets are not yet positively correlated, but the relationship is beginning to strengthen. Historically, during bitcoin’s strongest bull runs, the correlation has moved toward or above 1.0.

The current negative reading largely reflects the earlier divergence phase, when the ratio was falling and bitcoin typically declined faster than copper. As the ratio recovers, that relationship has historically converged alongside improving market conditions.

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Historically, the copper-to-gold ratio has led bitcoin by several weeks to months, suggesting the current move may still be in its early stages.

The copper-to-gold ratio is widely viewed as a gauge of economic momentum and investor risk appetite. Copper is closely tied to industrial demand and tends to outperform during periods of economic expansion, while gold is traditionally associated with defensive positioning. A rising ratio therefore signals a more risk-on macro environment.

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Coinbase Launches x402 Batch Settlement to Advance AI Payments

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Coinbase Launches x402 Batch Settlement to Advance AI Payments

Coinbase-backed x402 has added batch settlement, a feature designed to reduce the cost of high-frequency AI agent payments by allowing many small transactions to settle later in bulk.

Base creator Jesse Pollak said Wednesday that x402 now supports batched settlement, enabling very small payments below $0.0001 for on-demand resources such as compute and inference.

The feature lets buyers deposit ERC-20 funds into onchain escrow and sign offchain vouchers for each paid request. Sellers can verify those vouchers quickly, serve the request and later redeem many payments together in batched onchain transactions, according to x402’s documentation.

The development adds another layer to the emerging market for agent payments. It comes a week after Amazon Web Services (AWS) integrated Coinbase’s x402 payment protocol and wallet infrastructure to allow AI agents to make USDC (USDC) payments on Base and Solana without direct access to private keys.

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Days earlier, Coinbase CEO Brian Armstrong announced cutting 14% of the company’s workforce to restructure around smaller AI-focused teams using more automation tools, Cointelegraph reported on May 5. 

Coinbase introduces x402 batch settlement. Source: x402.org

X402 is an open protocol based on the HTTP 402 “Payment Required” status code to support machine-to-machine payments. Coinbase said the protocol processed over 169 million payments across 590,000 buyers and over 100,000 sellers in its first year.

Related: Polygon reduces block time to 1.75 seconds as payments push accelerates

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Batch settlements enable gasless transactions for AI agents

Batch settlements look to allow sellers to offer agents a cheaper and faster experience where deposits, batched settlements and refunds are all sponsored by the transaction’s facilitator, said Coinbase Developer Platform product lead Joshua Nickerson, in a Wednesday X post.

AI agents using batch settlement will be able to accept any Ethereum-native ERC-20 tokens, not just stablecoins. The feature is currently available in TypeScript and Go, with a Python implementation coming soon.

In the documented flow, the buyer opens or tops up a channel by depositing ERC-20 tokens into escrow. Each paid request includes a signed cumulative voucher, and the seller’s channel manager later claims vouchers from many channels in a single transaction before sweeping funds to the receiver.

Source: Jnix

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Crypto companies build agent rails

Other large cryptocurrency companies have also been building AI infrastructure.

On Monday, stablecoin issuer Circle launched a suite of tools enabling AI agents to use wallets, discover services and make programmable payments with USDC, Cointelegraph reported.

On Friday, Aptos Foundation and Aptos Labs committed $50 million to Aptos development, with a particular focus on AI agent infrastructure and research, including AI-powered onchain order book and perpetual exchange Decibel and decentralized storage protocol Shelby.

Magazine: AI-driven hacks could kill DeFi — unless projects act now

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Bitcoin and Ethereum Arrive on Wall Street Giant Charles Schwab for Selected Retail Clients

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Charles Schwab has started rolling out its new Schwab Crypto accounts to retail clients, allowing users to trade Bitcoin and Ethereum directly through the platform alongside traditional investments, starting Tuesday.

The offering is currently available to most residents in the United States, although residents of New York, Louisiana, and US territories are excluded at this stage. Schwab Crypto accounts are also not yet available to international users.

Schwab Crypto Rollout

According to the announcement, the first group of eligible clients can begin accessing crypto trading. To open a Schwab Crypto account, users must already have an eligible brokerage account with the company. Supported account types include individual and joint brokerage accounts, while additional requirements such as jurisdiction-based eligibility also apply.

Schwab Premier Bank serves as the custodian for the latest offering, while Paxos will manage trade execution and sub-custody services. As per the FAQs page, Schwab Crypto plans to charge a 75-basis-point trading fee.

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The rollout comes as the brokerage and banking firm continues expanding its presence in the crypto market. Last month, Charles Schwab introduced a dedicated crypto-focused page on its website under the “Schwab Crypto” branding, in a bid to expand its offerings for retail investors seeking direct exposure to digital assets.

Founded in 1971, Charles Schwab manages roughly $12 trillion in assets and is considered one of the largest banking and financial services organizations in the United States. But despite the major TradFi expansion into crypto, there have been no visible changes in the price of the two top assets as Bitcoin remained near $80,000, while Ethereum traded around $2,300.

Schwab 1Q Results

Charles Schwab posted a net income of $2.5 billion in the first quarter of 2026. After excluding certain transaction-related expenses, adjusted profit rose to $2.6 billion, while adjusted earnings per share increased 38% year-over-year to $1.43.

Meanwhile, quarterly revenue was up 16% to $6.48 billion. Client assets reached $11.77 trillion by the end of March, up 19% from a year earlier. Additionally, the company recorded $140 billion in core net new assets during the quarter and opened 1.3 million new brokerage accounts, which pushed total client accounts to 47.2 million.

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The post Bitcoin and Ethereum Arrive on Wall Street Giant Charles Schwab for Selected Retail Clients appeared first on CryptoPotato.

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