Crypto World
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.
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.
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.
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.
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.
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.
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:
- 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.
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.
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:
- 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.
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.
Do Indicators Behave Differently in Trending and Ranging Markets?
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.
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.
U.S. President Donald Trump arrived in Beijing on May 13 for a formal state visit at the invitation of Chinese President Xi Jinping.
Summary
- U.S. President Donald Trump has arrived in Beijing for a state visit following an invitation from Xi Jinping.
- Markets are closely watching geopolitical sentiment, with prediction platforms pricing shifts in U.S.–China diplomatic expectations.
- Crypto traders are assessing whether renewed U.S.–China engagement could impact risk appetite and global liquidity flows.
The visit marks a renewed high-level diplomatic engagement between the world’s two largest economies amid ongoing strategic and economic competition.
The announcement has quickly drawn attention across financial markets, where geopolitical developments between the U.S. and China often influence risk sentiment, trade expectations and cross-asset volatility. Crypto traders, in particular, are watching for potential spillover effects into liquidity conditions and speculative positioning.
Prediction markets are also reacting to the development. Platforms such as Polymarket are tracking event-based probabilities tied to U.S.–China relations, including the likelihood of trade policy shifts, tariff adjustments, or formal agreements emerging from diplomatic meetings.
Geopolitics meets prediction markets and crypto sentiment
On Polymarket, traders typically express views on scenarios such as “U.S.–China trade deal probability,” “new tariff escalation risk,” or “high-level diplomatic agreement outcomes,” allowing sentiment to be priced in real time rather than through traditional polling or analyst forecasts.
These markets have become increasingly relevant to crypto participants because geopolitical risk is now tightly linked to digital asset volatility cycles. When tensions rise, liquidity often tightens and risk assets tend to experience sharper repricing, while diplomatic easing can trigger broad-based risk-on rotations.
In the current context, the Trump–Xi meeting is being interpreted less as a single political event and more as a signal node for global macro positioning. Traders are watching whether it leads to policy clarity, trade de-escalation, or further strategic uncertainty between the two nations.
Crypto markets watch macro signals for liquidity direction
Crypto investors are closely monitoring geopolitical developments like this because digital assets increasingly trade as high-beta macro instruments sensitive to global liquidity expectations.
Improved U.S.–China relations could support broader risk appetite by reducing tail-risk uncertainty in global trade, while escalation or breakdown in talks could have the opposite effect, tightening liquidity conditions and increasing volatility across speculative markets.
At the same time, prediction markets are amplifying the speed at which sentiment is priced in. Platforms like Polymarket allow traders to hedge or speculate directly on geopolitical outcomes, effectively turning diplomatic events into tradable macro signals.
As a result, the Trump visit to Beijing is being watched not only as a diplomatic milestone but also as a potential catalyst for shifts across prediction markets, equities, and crypto-linked risk assets, depending on how negotiations and messaging unfold in the coming days.
US Producer Price Index (PPI) Final Demand jumped 6% in April 2026, the highest reading since January 2023. The print came in well above the 4.9% consensus forecast.
The monthly gain hit 1.4%, nearly triple the 0.5% consensus, while core PPI rose 1% on the month. Both headline and core figures now sit at three-year highs.
Services Drove the April Surge
Final demand services climbed 1.2%, the largest monthly advance since March 2022. The gain accounted for roughly 60% of the headline move, according to the BLS release.
Trade services margins rose 2.7%, while transportation and warehousing prices jumped 5%. Final demand goods advanced 2%, with energy up 7.8% and gasoline prices climbing 15.6%.
The narrowest core measure excludes food, energy, and trade services. It rose 0.6% on the month and 4.4% annually, near its highest reading since early 2023.
Energy contributed heavily as the Iran war jolted crude and refined prices. Yet the breadth of services gains flagged stickier underlying pressure, echoing stagflation concerns that returned after recent prints.
Markets Reprice the Fed Path
Treasury yields pushed higher after the release. The 30-year yield rose to 5.042%, just below its 19-year peak.
Bond traders priced in renewed Fed rate hike risks, and Goldman Sachs recently pushed back its next-cut forecast to December 2026.
Equity futures sold off on the print. The dollar firmed against major peers as widening rate differentials supported the greenback.
“Both CPI and PPI Inflation are now officially at 3+ year highs. Odds of rate HIKES are rising,” stated analysts at the Kobeissi Letter.
Whether Federal Reserve officials now signal a hawkish pivot will set the tone for risk assets in coming sessions. A sustained rebound in producer costs could push consumer inflation higher into the second half of 2026.
The post US PPI Shocker Hits 6% in April 2026, Crushing Fed Rate Cut Hopes appeared first on BeInCrypto.
Bitcoin (BTC) may reach $100,000 by June as Strategy’s renewed buying power and falling stablecoin dominance suggest liquidity is returning to crypto.
Key takeaways:
- Michael Saylor’s Strategy may purchase at least 3,127 BTC this week via the sales of STRC shares.
- Falling crypto market dominance of USDT and USDC stablecoins increases BTC’s odds of reaching $100,000.
Strategy resumes Bitcoin buying as STRC stock reclaims $100 par
Strategy’s preferred stock, Stretch (STRC), has reclaimed its critical $100 par value, restoring one of the company’s funding mechanisms for Bitcoin purchases, data from STRC.LIVE shows.
As of Wednesday, STRC was trading around $100.01, with estimates suggesting the preferred-share program has already unlocked enough buying power for Strategy to acquire at least 3,172 BTC this week.
Strategy’s weekly BTC buying estimates via STRC stock sales. Source: STRC.LIVE
That is nearly 235% of Bitcoin’s newly mined supply over the same period.
Strategy’s Bitcoin accumulation model becomes significantly more efficient whenever STRC trades at or above par. In those conditions, the company can issue preferred shares more aggressively, raise fresh capital, and redirect proceeds into Bitcoin.
Since February, the company has added roughly 101,700 BTC, lifting its holdings to nearly 819,000 BTC as of May 11 from about 717,000 BTC in mid-February.
Source: X
Bitcoin rose more than 40% over the same stretch, underscoring how Strategy’s latest accumulation wave has coincided with BTC’s broader recovery.
“STRC raised $5.58 billion YTD since January,” market analyst Pio Vincenzo said in a Wednesday post, adding that MSTR may raise “another $20 billion by the end of the year.”
Related: Strategy CEO Phong Le says company will sell BTC only in specific cases
Falling stablecoin dominance is bullish for Bitcoin’s price
Another bullish signal is coming from the stablecoin market.
The combined dominance of Tether’s USDT and Circle’s USDC is showing signs of topping near the 10%–11% resistance zone, according to a fractal analysis shared by analyst MikybullCrypto.
Net USDT and USDC’s crypto market dominance monthly chart. Source: TradingView/MikybullCrypto
Stablecoin dominance measures how much of the crypto market is sitting in digital dollars. When it falls, it usually means capital is rotating back into Bitcoin and other crypto assets.
Past cycles show a similar pattern.
During 2022–2024, stablecoin dominance dropped nearly 70% while Bitcoin rose by around 600%. Similarly, in 2021, a 54% drop in stablecoin dominance aligned with BTC’s 525% price gains.
Net USDT and USDC’s crypto market dominance vs. BTC/USD monthly chart. Source: TradingView
On average, stablecoin dominance has fallen by 61.3%, while Bitcoin has rallied by around 560% in the same period.
“BTC therefore has a higher chance for a sustained bullish reversal on the weekly chart,” MikybullCrypto said, adding:
“Reaching $100k this quarter seems likely.”
On the flip side, Bitcoin upside continues to show signs of exhaustion near its 200-day exponential moving average (200-day EMA, the blue line) at around $82,000.
BTC/USD daily chart. Source: TradingView
Failing to break above this resistance increases the odds of sell-offs in the coming weeks, with a potential rising wedge pattern hinting at a drop under $70,000 by June.
CoinDesk Indices presents its daily market update, highlighting the performance of leaders and laggards in the CoinDesk 20 Index.
The CoinDesk 20 is currently trading at 2185.22, down 0.3% (-5.55) since yesterday’s close.
Seven of 20 assets are trading higher.
Leaders: DOT (+2.6%) and BNB (+1.7%).
Laggards: SUI (-3.2%) and TAO (-2.7%).
The CoinDesk 20 is a broad-based index traded on multiple platforms in several regions globally.
Crypto World
Solana News: Coinbase Just Added Solana as Loan Collateral Alongside Bitcoin and Ethereum: Is SOL Finally Getting Its Moment?
Coinbase has added Solana as eligible collateral for its crypto-backed lending service, allowing U.S. users to borrow up to $100,000 in USDC against their SOL holdings. Bullish news for Solana.
The integration was on May 12, confirming SOL joins Bitcoin and Ethereum as accepted collateral on Coinbase’s non-custodial loan product built on the Morpho protocol over Base.
The maximum loan-to-value ratio for SOL is set at 70%. That number is the key variable; it determines how much borrowing power a holder unlocks, and it sets the distance to liquidation in a volatile asset.
Holding SOL? — Coinbase
SOL-backed loans are now available on Coinbase.
Instantly borrow up to $100K in USDC against your Solana without selling. pic.twitter.com/rfZBZ0KiH6
(@coinbase) May 12, 2026
In practice: a holder with $10,000 in SOL can draw up to $7,000 in USDC. Collateral is locked in a smart contract on-chain.
No repayment deadline applies, but if the LTV hits the liquidation threshold, which carries a 4.38% penalty, the position is auto-liquidated, and the remaining collateral is returned.
Borrowed USDC cannot be used for trading on Coinbase directly.
Discover: The best pre-launch token sales
Solana Price Momentum Makes the integration News Timing Deliberate, Breakout to $100 Soon?
SOL is sitting at $95.69 on the 4h chart, and the price action since early May has been the most decisive upside move since the February collapse, with price breaking out of the $82 to $92 range that had been containing it for weeks and pushing toward the $98 to $100 zone that has been the ceiling since January.
The structure of higher lows from the $77 bottom in late February through March and April built a solid base, and the breakout that is now unfolding has real momentum behind it rather than looking like another fakeout.
The $94 level is now the immediate support to watch on any pullback, as it marks the breakout zone from the prior range. Holding that on a retest would confirm the move is genuine and not just a wick into resistance.
Above the current price, $98 to $100 is the next meaningful wall, and a clean break there opens the path toward $106 and $110, where heavier resistance sits from the January distribution.
What makes this move more interesting than a mere technical breakout is the Coinbase lending news behind it.
SOL being added as the third major collateral tier after Bitcoin and Ethereum, alongside $2.3 billion in cumulative crypto-backed loan originations, means holders with unrealized gains can now access liquidity without selling, which structurally reduces sell pressure while demand stays intact.
The long-term trend recovery is still incomplete with price below its 200-day moving average, but the short and medium-term setup is the most constructive it has been all year.
Discover: The best crypto to diversify your portfolio with
The post Solana News: Coinbase Just Added Solana as Loan Collateral Alongside Bitcoin and Ethereum: Is SOL Finally Getting Its Moment? appeared first on Cryptonews.
- DIU names Concordium official AI partner for 2026 IIHF event.
- Concordium launches blockchain fan ID pilot with Danish hockey.
- Partnership fee settled fully in Concordium CCD tokens.
Danmarks Ishockey Union (DIU), the governing body for ice hockey in Denmark, has named Concordium as the Official AI Partner of the Danish National Ice Hockey Team in a partnership centered on blockchain-based digital identity and artificial intelligence infrastructure.
The collaboration will officially launch during the 2026 IIHF Ice Hockey World Championship in Switzerland and will include multiple technology-focused initiatives aimed at enhancing fan engagement through AI-powered systems and on-chain identity verification.
Concordium, which describes itself as a regulatory-grade AI infrastructure platform powered by blockchain technology, said the partnership will serve as a real-world demonstration of how verified digital identities and AI agents can operate at scale in consumer-facing environments.
Verified fan program to debut at IIHF Championship
The partnership between DIU and Concordium will initially focus on two core initiatives built on Concordium’s infrastructure.
The first is a Verified Fan Programme designed to pilot a privacy-preserving fan experience using zero-knowledge proof technology.
The system is intended to allow users to verify identity-related credentials while limiting exposure of personal information.
The second initiative is an Agentic Commerce pilot, which aims to demonstrate how verified AI agents can operate autonomously while interacting with fans and digital commerce systems.
The project builds on Concordium’s previous work involving the x402 agentic payments protocol, which is focused on enabling secure and verifiable machine-driven transactions.
“Agents transacting at scale need a verified identity they can carry and settlement rails they can trust,” said Varun Kabra, Chief Growth Officer at Concordium.
“The infrastructure for that already exists. What it has lacked is legibility, a place where mainstream audiences can see it working. We are very excited to partner with the Danish Ice Hockey team to build together a solution where AI can deliver a much superior fan experience.”
DIU said the partnership was structured around long-term technology collaboration rather than traditional sponsorship branding alone.
“We approached this the way we approach every serious collaboration, starting with what we could build together, not what would go on the jersey,” said Michael Dupont, CEO of Danmarks Ishockey Union. “Concordium is a Swiss-built and regulatory-grade AI infrastructure. The programmes planned over the course of the partnership are the kind of work that fits how Danish hockey wants to be seen.”
Partnership settled entirely in CCD tokens
As part of the agreement, Concordium branding will appear on the Danish national team’s helmets and jerseys, alongside category exclusivity across digital assets during the term of the partnership.
The organizations also said the full partnership fee was settled entirely in CCD, Concordium’s native blockchain token.
According to the announcement, the agreement represents the first national-team partnership fully paid and locked in a native protocol token.
The transaction was settled on-chain at signing, while a 12-month lock-up period was enforced directly at the protocol level.
DIU will maintain full self-custody of the digital assets under the arrangement.
Global tournament exposure supports partnership visibility
The partnership launches ahead of the 2026 IIHF World Championship, where Denmark’s national team is expected to receive broad international television exposure.
Games involving the Danish team are broadcast across Sweden, Finland, Germany, Switzerland, Canada, and the United States through networks including Viaplay, ZDF, ARD, TSN, and ESPN.
According to the organizations, the 2025 IIHF World Championship generated a cumulative live television audience of 215 million viewers and 25.6 billion event impressions across 155 territories.
DIU noted that Denmark has become an established host nation for international hockey tournaments, hosting four IIHF World Championships within eight years, including the men’s tournaments in 2018 and 2025, and women’s tournaments in 2022 and 2026.
The price remains in a flat channel. When will it break away?
PI Network (PI) Price Predictions: Analysis
Key support levels: $0.16
Key resistance levels: $0.20, $0.28
PI Remains Stuck in a Channel
With momentum lacking, the PI price has been moving sideways above 17 cents in the past week. Buyers attempted to test the 20-cent resistance in late April but were rejected. Since then, the volume has been falling as well.
This consolidation could last quite a while longer, but it remains a positive development considering that the price has stopped making lower lows. This builds confidence that PI has bottomed already.
Low Momentum, but Higher Lows
At the time of this post, the price and momentum indicators don’t give any indication that they want to aim for a breakout. Nevertheless, the price has been making higher lows after the bottom at 13 cents.
This could be interpreted as bullish and would be confirmed as soon as the price moves above the 20-cent resistance. For that to happen, the buy volume will need to pick up since it has been falling in May so far.
Flat Volume Keeps the Price Stuck
Volume is the second most important indicator after the price itself. Since the start of April, the volume has remained low, even if there were small attempts at changing this. Because of that, the price was unable to move out of its current range between 16 and 20 cents.
A sign to watch for is higher highs on the volume profile. For now, this is missing, but PI is a momentum coin and could change that at any point. Until then, best to be patient here as the price grinds slowly.
The post Pi Network (PI) Price Predictions for This Week, May 13 appeared first on CryptoPotato.
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.
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.
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.
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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.
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.
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.
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.
The post Ripple (XRP) Price Predictions for This Week, May 13 appeared first on CryptoPotato.
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.
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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