by Sheni Ogunmola.
Global financial markets are inherently slow to price fundamental transitions in technology infrastructure. At present, digital asset markets continue to value Near Protocol ($NEAR) as a standard smart-contract platform competing for retail application deployment. This represents a profound category mispricing. By engineering a deeply integrated network architecture optimized for decentralized artificial intelligence, Near has built a structural utility moat tailored specifically to the requirements of the emerging autonomous agent economy.
When autonomous software agents handle high-velocity operations, data filtering, asset management, and cross-border financial reconciliation, they cannot rely on centralized cloud systems without exposing private credentials, corporate API keys, and proprietary weights to server operators. Near provides a neutral, hardware-secured execution environment where machine-to-machine commerce scales with absolute data confidentiality and friction-free multi-chain settlement.
The core architectural requirement for an ecosystem driven by software agents is the ability to absorb massive, unpredictable transaction spikes without causing fee degradation or consensus delays. Traditional layer-1 blockchains suffer from structural limitations where localized micro-caps or retail trading waves congest the entire global ledger.
Near’s implementation of Nightshade sharding splits transaction processing across parallel computing lanes. The milestone network upgrade automatically introduces dynamic resharding. This mechanism acts as an autonomous infrastructure manager: the moment specific computational demands surge, the network creates and deploys additional shards in real-time, isolating high-volume traffic without impacting the speed or cost profile of the broader network.
The production state of the network reflects this scalability:
Software tools operating at machine speed do not manually manage public keys, compute gas limits across multiple separate layer-1 or layer-2 environments, or accept the smart-contract vulnerabilities inherent to traditional cross-chain token bridges. Near eliminates this operational friction through its Chain Abstraction and Near Intents framework.
Through an open intent-based routing system, an AI agent simply declares a targeted economic outcome — such as deploying capital from Bitcoin into a localized yielding protocol on Solana — and the infrastructure manages the underlying cryptographic proofs, transaction execution, and state routing automatically. The data verifies that this architecture has graduated from a speculative design into a high-volume processing hub.
The network traction variables confirm this growth:
Autonomous workflow tools require ironclad security parameters when interacting with legacy enterprise software databases, internal communication nodes, or financial treasuries. Near addresses this challenge by pioneering localized hardware-enforced security boundaries.
The ultimate validity of any infrastructure investment depends heavily on the alignment between network utility and token value capture. Historically, layer-1 blockchains functioned as highly inflationary networks where massive validator token emissions diluted long-term holders. Near has executed a systematic structural overhaul to reverse this trend.
First, a comprehensive protocol upgrade halved the maximum annual network inflation rate from 5% down to a highly constrained 2.5%, significantly reducing systematic sell pressure from network validators.
Second, the activation of the protocol fee conversion mechanism directs 100% of all generated cross-chain Intents transaction revenue straight into open-market $NEAR asset purchases.
This architecture creates a powerful supply-demand mismatch. As autonomous AI platforms, high-velocity trading agents, and cross-border remittance engines expand their adoption of Near’s intent-routing pipeline, the protocol captures an accelerating volume of fees to aggressively buy back and remove tokens from the circulating supply. The market currently treats $NEAR as a speculative asset dependent on retail human activity, creating a compelling entry window for an operational protocol powering the scaling infrastructure of the automated machine economy.
Legal Disclaimer & Financial Guardrail: We are not licensed financial advisors, certified tax professionals, or registered broker-dealers. The technical data, asset analysis, and market observations presented in this document are compiled strictly for educational, research, and informational purposes. Capital allocation in digital assets and emerging infrastructure technologies carries an inherent risk of volatility and total loss. Readers must conduct exhaustive independent due diligence and consult with professional financial counsel before executing any market positions.
The Agentic Web was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
A data-first prediction-market playbook for finding mispriced odds, managing risk, using limit orders, and approaching Polymarket Perps without falling for fake profit screenshots.
The internet loves screenshots.
“I made $1,754.78 today.”
“This market was free money.”
“One trade changed everything.”
What those posts rarely show is the denominator: account size, open risk, losing days, slippage, fees, correlated positions, or the possibility that one ambiguous resolution wipes out weeks of gains.
Polymarket is not a magic income machine. It is an order book where people buy and sell probabilities. That distinction is the source of both the opportunity and the danger.
If a YES share trades at $0.42, the market is roughly expressing a 42% probability. If the market resolves YES, that share becomes redeemable for $1; if it resolves NO, it becomes worth $0.
Your job is not to “pick the winner.” Your job is to determine whether the probability embedded in the price is wrong by enough to cover trading costs, uncertainty, and execution risk.
That is what this playbook is about.
If you are new and legally eligible to use the international platform, you can explore Polymarket here. Read the risk and jurisdiction sections before funding an account.
Prediction markets are moving from a niche crypto product toward a broader information layer for politics, economics, sports, technology, and breaking news.
The infrastructure has evolved too. Polymarket’s April 2026 upgrade introduced new exchange contracts, a rewritten central limit order book backend, and pUSD, a Polygon-based collateral token backed by USDC.
The platform now applies category-specific taker fees to many markets, while makers are not charged those platform taker fees and may be eligible for rebates. Geopolitical markets currently remain fee-free. Always check the live market configuration because programs and rates can change. (Official changelog, fee documentation)
The company has also been pulled closer to mainstream finance. Intercontinental Exchange, the owner of the New York Stock Exchange, announced an investment of up to $2 billion in Polymarket in October 2025.
In the United States, Polymarket US operates separately from the international blockchain platform through a CFTC-regulated structure and offers a narrower contract set. (AP on the ICE investment, AP on the U.S. return)
Growth does not remove risk. It increases the value of having a process.
Suppose a YES share costs $0.51 and your carefully researched estimate is 58%.
Before fees and slippage, the expected value per share is:
EV = your probability − market price
EV = 0.58 − 0.51 = $0.07 per share
That is a seven-cent theoretical edge — not a guaranteed seven-cent profit.
Your 58% estimate may be wrong. The market rules may differ from the headline. The spread may widen. New information may arrive. A market that is attractive at $0.51 may be unattractive at $0.57.
Professionals therefore ask four questions before every order:
Everything else is commentary.
The fastest way to lose money is to trade every viral market.
Choose one or two domains where you can process information faster or better than the median participant. Examples include:
Then build a source stack before you build a position: primary documents, official calendars, regulator filings, company statements, reputable wires, domain experts, and only then social media.
The premium edge is rarely “more news.” It is knowing which source changes the probability and which source merely repeats the narrative.
Practical rule: If you cannot name the market’s authoritative resolution source and the next two catalysts, you are not ready to trade it.
Anchoring is expensive. Once you see a 73% market price, your brain begins inventing reasons why 73% feels right.
Use a two-pass forecast:
Pass one — outside view: Start with the base rate. How often does this class of event happen?
Pass two — inside view: Update for case-specific evidence such as deadlines, incentives, polling error, institutional constraints, injuries, or confirmed announcements.
Write a range, not a heroic single number:
If the best available ask is 52%, the edge is too thin for most uncertain theses. If it is 43%, there may be room — but only after reading the rules and checking liquidity.
Premium filter: Require a margin of safety. For noisy political or geopolitical markets, an apparent two-point edge is usually just estimation error. Many disciplined traders demand a larger gap before risking capital.
The title attracts attention. The rules determine the payout.
Before trading, record:
Polymarket uses UMA’s Optimistic Oracle for resolution. Proposals can be disputed, and disputed markets can take days rather than hours to settle.
The official documentation explicitly warns users to read the rules because the title is only a summary. (How resolution works)
This creates a real strategy: resolution arbitrage.
Sometimes the crowd trades the intuitive meaning of a headline while the contract resolves according to a narrower definition. The opportunity is legitimate only when your interpretation is grounded in the written rules — not wishful semantics.
Red flag: If two intelligent readers interpret the contract differently, reduce size or skip it.
Polymarket uses a central limit order book. The displayed probability is generally the midpoint between the best bid and ask; it is not necessarily the price you can trade.
If the bid is $0.46 and the ask is $0.52, clicking buy means paying the ask, not the displayed midpoint. (Prices and order book)
That six-cent spread can destroy a small informational edge.
Use limit orders when immediacy is not essential. A patient order can:
But a limit order is not free money.
It may not fill, may fill only partially, or may be selected precisely when informed traders know more than you. Cancel stale orders before scheduled announcements.
On sports markets, special order-cancellation and delay behavior can apply around game time. (Official limit-order guide)
Execution checklist: spread, depth, likely slippage, fee status, order type, expiration, and catalyst time.
You do not always need to hold until $1 or $0.
Imagine buying YES at $0.31 before a scheduled court ruling. A procedural development lifts the market to $0.49, but the final event remains months away.
Selling can convert a forecast improvement into realized profit while removing months of tail risk.
Design three prices before entry:
Do not use a stock-trading stop mechanically. Prediction markets can gap on binary news, and thin books may make stop-like exits worse than expected.
The better defense is smaller initial size, planned limit orders, and a clear information-based invalidation point.
Related markets often imply a probability tree.
For mutually exclusive outcomes, prices should make logical sense together after accounting for spreads, fees, and different resolution wording.
If five candidates are the only possible winners, their fair probabilities should total roughly 100%. If “Event by June” trades above “Event by December,” something may be wrong — unless the contracts use different definitions.
A useful workflow:
Many apparent arbitrages disappear when you notice that one contract requires an official announcement while another requires the event to occur.
The wording is the trade.
When your estimated probability is q and the share price is p, the full-Kelly fraction for a binary contract can be written as:
Kelly fraction = (q − p) / (1 − p)
At q = 0.58 and p = 0.51:
Full Kelly ≈ (0.58 − 0.51) / 0.49 ≈ 14.3%
That is far too aggressive for most real-world traders because your probability is uncertain and positions may be correlated.
A quarter-Kelly version would suggest roughly 3.6%, but even that may be excessive.
A more robust framework is:
If you own YES on three different contracts that all depend on the same court ruling, you do not have three independent bets.
You have one concentrated bet wearing three labels.
Polymarket currently documents several incentive mechanisms, including maker rebates, liquidity rewards on selected markets, and a variable holding reward on eligible positions.
These programs can improve the economics of a sound trade. They cannot rescue a bad one. (Positions and holding rewards, liquidity rewards)
Model them separately:
Trading P&L + earned incentives − fees − slippage − opportunity cost = net result
Do not assume a displayed annualized reward will remain unchanged. Do not quote poor prices merely to chase a liquidity score. Do not lock capital in a negative-EV position for a yield that can be revised.
Rewards are a rebate on a good process, not the process itself.
Polymarket’s official Perps page currently advertises early access to a product for going long or short markets 24/7.
At the time of this update, the public page says “Perps are coming” and does not provide a complete public rulebook on that landing page.
Treat that as a reason to wait for product-specific documentation — not an invitation to guess how leverage, funding, liquidation, collateral, or jurisdictional access will work. (Official Perps page)
If you want to register your interest, you can join Polymarket Perps early access with this invite link.
Before placing any eventual perp trade, verify:
Perps and prediction shares solve different problems.
A prediction share has bounded downside equal to its purchase price and resolves under event-specific rules. A leveraged perpetual position introduces path dependency: you can be liquidated before your long-term thesis proves correct.
Could someone make $1,754.78 in a day? Of course.
Someone can also lose more.
The useful question is what repeatable process and capital base would be required.
Assume, purely for illustration, that a skilled trader realizes a 3% net edge on deployed capital after fees and slippage.
To target $1,754.78 in expected — not guaranteed — daily profit, that trader would need approximately:
$1,754.78 / 0.03 = $58,492.67 of daily deployed capital
That does not mean a $58,492 bankroll produces $1,754 every day.
Positions overlap, edges are uncertain, markets may not have enough depth, and realized outcomes are lumpy. At a 1% net edge, the required daily deployment rises to $175,478.
One bad correlated event can overwhelm many small wins.
This is why a daily dollar target is the wrong operating metric.
Track these instead:
The goal is not to win every market. It is to make well-calibrated decisions at favorable prices while staying solvent long enough for the edge to compound.
Copy this into your notes:
Market:
Exact resolution condition:
Authoritative source:
Current executable bid / ask:
My fair-probability range:
Base rate:
Key catalysts and timestamps:
What would invalidate my thesis?
Fees, spread, and expected slippage:
Position size and maximum loss:
Correlated exposure elsewhere:
Add / review / exit prices:
Reason I may be wrong:
If you cannot complete the checklist, the correct position size is zero.
The international Polymarket platform is not available in every country or region, and its official help center prohibits using VPNs or similar tools to bypass geographic restrictions.
Availability changes, so check the current geographic restrictions and your local law.
Never share a private key, seed phrase, or email login code. Bookmark the official domain, verify links, and ignore unofficial token or airdrop claims.
Polymarket’s help center states that pUSD is its collateral token and that no separate Polymarket token or airdrop has been announced as of this update. (Official token warning)
Finally, do not trade on material non-public information.
Recent reporting about unusually timed accounts has intensified scrutiny of prediction-market integrity. Even apart from legal risk, markets cannot function if participants treat confidential government, corporate, or personal information as a private casino chip.
Polymarket rewards a rare combination: probabilistic thinking, domain expertise, contract reading, execution discipline, and emotional restraint.
The amateur asks:
“Will this happen?”
The professional asks:
“What probability is priced, what probability is justified, what can invalidate my estimate, and how much should I risk?”
That shift — from prediction to pricing — is the real edge.
If you are eligible, understand the risks, and want to explore the prediction markets discussed in this guide, start with Polymarket here.
For the separate perpetual-futures waitlist, use this Polymarket Perps early-access link.
Trade smaller than your ego wants. Read every rule twice. Let price — not excitement — decide whether there is a trade.
Disclosure: This article contains referral links. If you sign up or join an early-access program through them, I may receive a reward at no additional cost to you. That does not affect the analysis below. Prediction markets and perpetual futures involve substantial risk, including the possible loss of your entire position. Nothing here is financial, legal, or tax advice. Check local law and platform availability before participating.
How to Trade Polymarket Profitably in 2026: 9 Advanced Strategies and the $1,754.78/Day was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
A few days ago, I posted an image with a simple caption: All roads lead back to Pacifica.
At first, it was just a visual idea.
Different roads. Different products. One destination. But the more closely I looked at what Pacifica has become, the less it felt like a metaphor.
Trade. Hold. Earn. Build. Automate. Predict.
These activities are often spread across different platforms, each requiring another deposit, another interface, and another disconnected account.
Pacifica is beginning to bring more of them into one environment.
And that changes how the platform should be understood.
Pacifica built its name as a high-performance perpetual DEX on Solana.
The project was founded in January 2025 and launched its mainnet six months later. According to Pacifica’s current documentation, it has since processed more than $220 billion in cumulative perpetual volume, with approximately $1 billion in daily volume and more than $100 million in peak open interest.
Today, Pacifica supports more than 65 perpetual pairs across crypto majors, altcoins, RWAs, FX, pre-IPO assets, and other categories, with leverage of up to 50× depending on the market.
Those numbers explain how Pacifica attracted attention. But they do not fully explain where the platform is going.
The more interesting story is what has been built around the exchange itself.
Pacifica’s own documentation now describes the project as expanding from a high-performance perp venue into a broader trading ecosystem.
That distinction matters.
A perp DEX gives traders a place to open leveraged positions. An ecosystem connects multiple ways of trading, managing capital, participating, and building.
Pacifica is moving toward the second model.
Perpetuals remain at the center of Pacifica, but they are no longer the only market available.
The platform now supports both perpetual and spot trading. Traders can use cross or isolated margin for perpetual positions, while eligible spot assets can contribute to a unified-margin account.
That means the relationship between spot and perps is no longer limited to switching between two separate tabs.
Pacifica combines a user’s USDC balance, unrealized PnL from cross-margin perpetual positions, pending interest, and eligible spot collateral when calculating account equity.
This creates a more connected capital structure.
A trader holding eligible spot assets may be able to use their collateral value to support perpetual positions. A long spot position combined with a short perpetual position on the same underlying can also function as a carry trade, with the two sides reflected in the same equity calculation.
The important shift is not simply that Pacifica added spot.
It is that spot and perps can work together.
That is a much bigger step than adding another market to a navigation menu.
Learn more about Pacifica’s unified margin system.
Not every user approaches a market in the same way.
Some want to actively trade. Some want to place a limit order and wait for their price. Some prefer to allocate capital through a Vault.
Others want a faster, more visual way to express a short-term view on price.
Pacifica is building separate experiences for these users, while keeping them inside the broader Pacifica environment.
Print allows eligible resting limit orders to earn yield while they wait for execution. The order remains a limit order and can still be filled if the market reaches its price.
Waiting for execution does not have to mean that the order remains entirely unproductive.
Vaults open another road. Instead of manually managing every position, users can allocate capital to strategies deployed and managed through Pacifica’s Vault infrastructure.
Swim takes a completely different approach. It turns short-term price movement into a live prediction game where users select price-and-time zones on a moving grid.
It may feel separate from traditional trading, but Swim draws directly from the same Pacifica trading balance used for spot and perpetuals. There is no separate Swim deposit required.
That detail reveals the larger strategy.
Pacifica is not simply placing unrelated products under one name.
It is creating different ways to interact with markets without forcing users to leave the broader platform environment.
See how Swim works.
There is also another layer developing around the trading interface: automation and programmatic access.
Pacifica has offered REST and WebSocket APIs from day one, giving market makers, algorithmic traders, and builders direct access to its trading infrastructure.
More recently, it introduced an MCP server that exposes the REST API as tools compatible with clients including Claude Code, OpenAI Codex, and others.
I tested this connection myself.
Through Claude Code in VS Code, I was able to connect to Pacifica, retrieve account and market data, create a limit order, cancel it, and manage open orders through natural-language instructions.
That experiment changed the way I interacted with the platform.
The trader no longer had to manually click every button. An AI client could translate instructions into actions while Pacifica remained the execution layer underneath.
Pacifica’s documentation also lists an AI Agent and World Monitor among its expanding products. Their inclusion points toward a broader focus on AI-assisted trading, monitoring, and automation, although their individual roles should be evaluated as those products develop.
AI is not replacing the trading infrastructure. It is becoming another way to access it.
Once these pieces are viewed together, Pacifica begins to serve several different types of users:
These users may enter through different products, but they ultimately return to the same broader platform. That is what makes the “all roads” idea more than a slogan.
There is an important distinction here.
Adding more features does not automatically turn a platform into an ecosystem.
If every product requires completely separate funds, accounts, and workflows, the result is still a collection of isolated tools.
The real test is whether the products strengthen or connect with one another.
On Pacifica, those connections are beginning to appear:
Each road serves a different purpose. They do not all use identical execution mechanics, but they are becoming parts of the same expanding platform.
Pacifica began as a road to perpetual trading.
Today, perpetual trading is becoming only one of the roads inside Pacifica.
The platform is still evolving, and not every user will need every product. A professional trader, a Vault depositor, a builder, and someone playing Swim may have completely different goals.
They do not need identical experiences.
They need infrastructure that allows different experiences to exist without forcing every user to start from zero on another platform.
That appears to be the direction Pacifica is taking. Not one interface for one kind of trader. But multiple ways to trade, allocate capital, build, automate, and participate, connected through one expanding ecosystem.
Maybe that is why the caption now feels less like a metaphor.
All roads really do lead back to Pacifica.
Pacifica Is No Longer Just a Perp DEX was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Chainlink is drawing technical attention after chart analysis pointed to a bullish pennant forming on LINK, with buy volume beginning to recover as price compresses into a narrowing range.
The setup, shared by crypto analyst Gopal, suggests traders are watching for a breakout after a period of consolidation. A bullish pennant typically forms when price tightens after a strong move, with buyers and sellers compressing volatility before the next directional push.
For LINK, the pattern matters because Chainlink already has one of the stronger infrastructure narratives in crypto. The token is tied to oracles, data feeds, proof-of-reserve, cross-chain messaging, and institutional blockchain rails. When that fundamental narrative meets a clean technical setup, traders tend to pay attention.
But like all chart patterns, the pennant needs confirmation.
A bullish pennant is a continuation setup.
It usually appears after price moves higher, then consolidates inside a narrowing structure. The market pauses, volatility compresses, and traders wait to see whether buyers can regain control.
If price breaks above the pennant with volume, the pattern can signal continuation. If price breaks down instead, the setup fails.
That is the important line for LINK.
The current analysis points to compression and rebounding buy volume, but the market still needs confirmation. Traders will want to see price push through resistance rather than simply move sideways inside the structure.
Volume matters because it shows whether the breakout has real participation. Without volume, a move above resistance can fade quickly.
LINK is not just a chart trade.
Chainlink remains one of crypto’s most important infrastructure projects. Its oracle networks support DeFi applications, pricing data, proof-of-reserve systems, automation, and cross-chain messaging. The project also continues to appear in institutional tokenization and financial-market infrastructure discussions.
That gives LINK a stronger fundamental backdrop than many speculative altcoins.
Still, the token does not always capture that narrative cleanly. Chainlink can be widely used while LINK price still moves with the broader altcoin cycle. That is why technical setups become important. They give traders a way to judge when the market is starting to reward the narrative.
A bullish pennant with improving volume can suggest that buyers are returning. It does not prove a major move is coming, but it gives traders a structure to watch.
For LINK bulls, the next step is simple: break above the pennant and hold.
A clean breakout would show that compression is resolving in favour of buyers. Ideally, that move would come with stronger volume and a broader altcoin market that is not fighting the trend.
If LINK breaks out while Bitcoin and Ethereum are stable, the setup becomes more credible. If LINK attempts to break out during a weak market, traders may be more cautious.
Support also matters. A failed breakout that drops back into the pennant can weaken confidence quickly. A breakdown below the structure would shift attention to lower support and suggest the market was not ready for continuation.
That is why technical traders tend to wait for confirmation rather than buying every early pattern.
The reason LINK technical setups attract attention is that Chainlink has a clear story behind the chart.
Cross-chain communication, real-world asset tokenization, data feeds, and institutional crypto infrastructure are all live themes. Chainlink sits close to each of them. If the market rotates back into higher-quality infrastructure tokens, LINK is one of the assets traders are likely to revisit.
The bullish pennant setup may therefore become more important if it lines up with renewed demand for infrastructure names.
But the market still has to show it.
For now, LINK is compressing, buy volume is improving, and traders have a clear level to watch. That is enough for a technical setup, but not enough for a confirmed breakout.
The next move will decide whether this becomes a continuation pattern or another failed altcoin rally attempt.
This article is based on the referenced X chart post and TradingView market data.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on publicly available market and on-chain data. at X
SUI is drawing fresh attention from technical traders after chart analysis pointed to a bullish flag pattern forming on the daily chart.
The setup, shared by crypto analyst Gopal, shows SUI consolidating inside a downward-sloping channel after a stronger upward move. In technical-analysis terms, that kind of structure can become a continuation pattern if price breaks above the upper channel with enough volume.
The key word is “if.”
Chart patterns do not guarantee direction, and a bullish flag can fail if buyers do not follow through. But the setup gives traders a clear level to watch at a time when altcoin momentum is becoming more selective.
For SUI, the question is whether consolidation is cooling the market before another leg higher, or whether the earlier impulse is losing strength.
A bullish flag usually appears after a sharp upward move.
The market rallies, then price begins to consolidate in a controlled downward or sideways channel. Instead of collapsing, the asset holds most of the previous gains while traders take profit and new buyers wait for confirmation.
If price breaks above the channel, traders often interpret it as a sign that the previous trend is resuming.
That is the optimistic reading for SUI.
The danger is that traders see the pattern too early. A channel can look like a flag until it breaks down. Volume can fade. Buyers can fail to show up. A broader market pullback can invalidate the setup before it confirms.
That is why confirmation matters.
For SUI, the bullish case depends on price clearing the upper boundary of the channel with stronger trading activity. Without that breakout, the pattern remains potential, not proof.
SUI has become one of the more closely watched altcoins because it sits in the high-performance layer-1 category.
The network competes on speed, developer experience, object-based architecture, and consumer-facing applications. That gives SUI a narrative that can attract traders when capital rotates into newer layer-1 ecosystems.
Technical setups become more powerful when they align with a broader story.
If traders already believe SUI is one of the stronger altcoin candidates in a risk-on move, a bullish flag can give them a clean entry signal. If the wider market is weak, the same pattern may struggle to play out.
That is the current tension.
Altcoin traders are looking for assets that can outperform, but they are also more cautious after a choppy market. SUI needs both chart confirmation and broader risk appetite to turn the setup into a stronger move.
The most important part of this setup is volume.
A breakout without volume can be unreliable. It may trap late buyers before price slips back into the channel. A breakout with strong volume suggests new demand is entering and that traders are willing to chase the move.
That is especially important for altcoins, where liquidity can be thinner and false moves more common.
TradingView price action can help validate whether the pattern is still intact, but traders will also watch broader market conditions. If Bitcoin stabilises and altcoins begin moving again, SUI has a better environment for a technical breakout. If majors weaken, even a good-looking pattern can fail.
That does not make the chart useless. It just means the chart needs context.
The best way to frame SUI here is as a technical setup waiting for confirmation.
The bullish flag structure gives traders a clear invalidation point and a clear breakout zone. That is useful. It creates a tradeable map. But the market has not confirmed the move until price exits the channel with conviction.
For readers, that distinction matters.
Technical-analysis stories can become too promotional when they treat patterns as outcomes. A better approach is to explain what traders are watching, what would confirm the setup, and what would weaken it.
In SUI’s case, the bullish argument is straightforward: consolidation after strength can reset the market before continuation. The bearish or cautious argument is just as simple: without volume, the flag may fade into a normal pullback.
The next move will decide which reading is right.
For now, SUI is on the watchlist because the structure is clear. Traders just need the breakout to make it real.
This article is based on the referenced X chart post and TradingView market data.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on publicly available market and on-chain data. at X
Kalshi is a high-tech prediction market that allows people to "forecast the future" (their term). It is about contracts and information, the company says, making its offerings more like a soybean futures contract than a round of blackjack or a pull on the one-armed bandit.
Still, prediction markets look a lot like betting if you squint, which is why states like New York have tried to regulate them under gambling laws. To head this off, Kalshi has sought federal protection under the Commodity Futures Trading Commission (CFTC). Yes, this means regulation for Kalshi, but it also means the CFTC will sue states like Kentucky, Minnesota, Illinois, and Rhode Island, trying to pre-empt their laws in favor of a single national standard that the CFTC controls.
While this battle plays out, government insiders continue to generate insider trading stories after using their work knowledge to place bets "forecast the future" and make huge sums of money. The classic example, of course, was Gannon Ken Van Dyke, a US soldier who participated in planning the capture of Venezuela's Nicolas Maduro and then made $410,000 from that knowledge on the prediction site Polymarket. Van Dyke was arrested in April.
© Getty Images
The secret to better Forex trading isn’t bigger moves, it’s smarter daily habits.
If you’ve been trading Forex for a while, you’ve probably had moments where you questioned what was going wrong. Maybe a trade looked perfect but didn’t work out, or perhaps you found yourself switching from one strategy to another, hoping the next one would finally deliver consistent results. It’s something almost every trader experiences.
The truth is, becoming a better Forex trader isn’t always about making big changes. More often, it’s the small improvements of being patient, managing risk wisely, learning from previous trades, and using tools that make your trading process easier that slowly build confidence and consistency. These changes may not grab attention overnight, but they often have the biggest impact in the long run.
In this article, we’ll look at the practical changes that experienced traders make to improve their performance and how the right forex trading software can help simplify trading while supporting smarter decisions in today’s fast-moving market.
It’s easy to think that a losing streak means your entire trading strategy needs to change. Many traders fall into the habit of searching for a new indicator, copying another strategy, or trying to predict every market move. But more often than not, the problem isn’t the strategy itself; it’s the way it’s being followed.
The traders who consistently improve usually don’t make drastic changes. Instead, they focus on the small details that they can control every day. Waiting patiently for the right trading setup, sticking to a well-defined plan, managing risk on every trade, and avoiding emotional decisions can gradually improve trading performance. These habits won’t transform your results overnight, but they create a stronger foundation for long-term success.
If your goal is to become a better Forex trader, stop looking for quick fixes and start paying attention to the small improvements that shape every trading decision. Over time, those small changes can make a noticeable difference in both your confidence and your consistency.
Technology has changed the way traders interact with the Forex market. Instead of manually tracking multiple currency pairs and market movements, modern forex trading software provides everything in one organized platform.
With access to live charts, technical indicators, price alerts, and automated monitoring, traders spend less time gathering information and more time analyzing opportunities. This improves both efficiency and accuracy, especially during fast-moving market conditions where timing matters.
Reliable trading software also helps eliminate repetitive manual tasks, allowing traders to focus on building better strategies instead of constantly watching the market throughout the day.
One of the biggest mistakes Forex traders make is entering the market without a clear trading plan. Even the best strategy can deliver inconsistent results when decisions are driven by emotions instead of preparation.
A well-structured trading plan should include:
Following a trading plan helps you stay disciplined, avoid unnecessary trades, and focus on long-term trading success instead of reacting to every price fluctuation.
Every Forex trader experiences losses, but successful traders know how to keep them under control. Instead of chasing quick profits, they focus on protecting their trading capital first.
Strong risk management includes:
These simple habits help you stay disciplined, reduce emotional decisions, and trade with greater confidence over the long term.
Automation has become an important part of today’s Forex market, especially for traders who want greater consistency. Instead of relying entirely on manual execution, traders can automate repetitive tasks while still maintaining control over their overall strategy.
Automated systems can monitor multiple markets simultaneously, execute trades based on predefined conditions, and generate alerts whenever trading opportunities appear. This reduces emotional decision-making while improving execution speed during volatile market conditions.
Although automation doesn’t guarantee profits, it supports disciplined trading by following established rules without hesitation.
Not every trading platform offers the same level of functionality. Choosing dependable forex trading software means selecting a solution that supports both current trading needs and future growth.
Features such as advanced charting, real-time market analysis, customizable dashboards, secure account management, and performance reporting make daily trading much more efficient. Mobile accessibility also allows traders to monitor markets and manage positions from virtually anywhere. For businesses and financial organizations, Forex Trading Software Development offers the opportunity to create customized platforms that align with unique trading requirements, security standards, and business goals.
If you want to become a better Forex trader, start by reviewing your own trades. Looking back at your past decisions helps you understand what worked, identify repeated mistakes, and improve your trading approach. Over time, this simple habit leads to smarter decisions and more consistent trading results.
As Forex markets continue to evolve, using the right technology can give traders a real advantage. Modern forex trading software offers real-time market insights, advanced charting, and faster trade execution, helping you respond with greater confidence. When combined with disciplined trading and continuous learning, these tools can support more consistent results over time.
Becoming a better Forex trader doesn’t require completely changing the way you trade. Instead, consistent improvement comes from making small adjustments that strengthen your habits, improve your decision-making, and reduce unnecessary risks.
Using reliable forex trading software, maintaining a structured trading plan, and regularly reviewing your performance can gradually improve both confidence and consistency. As trading technology continues to evolve, businesses looking to build advanced trading platforms can also benefit from Forex Trading Software Development, creating customized solutions that meet the growing demands of modern financial markets.
The most successful traders aren’t those who make the biggest changes overnight, they’re the ones who continue making the right small improvements every single day.
The Small Changes That Can Make You a Better Forex Trader was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Hyperliquid is one of the super-fast crypto trading platforms. A decentralized exchange for trading digital assets. Hyperliquid is an L1 blockchain based especially for decentralized futures and spot trading.
Hyperliquid, as HYPE, is a well-known cryptocurrency. HYPE has performed very well for the last few months. HYPE entered a crucial phase in the last seven days. On June 16, prices dropped after hitting an all-time high price, which is around $76.85.
Some geopolitical factors and overall behavior or sentiments of the market triggered HYPE, by which prices go down in a week around 10.19%. Today on 14 July, HYPE prices started gaining some strength.
Prices ranged between $71.9 and $72.4 in the previous week. Today HYPE’s prices go down, marking it at $62.71. At the time of writing, HYPE is trading around $64.97, a surge in prices that is around 2.71% in the last 24 hours and down weekly by 9.47%.
Monthly trading prices are still green, which is 7.87%. Where the market cap is $16.4 billion, also soaring by 1.91%. On the other hand, 24-hour trading volume is decreased by 12.39%, which is roughly $326.4 million.
Many people have now started trading on Hyperliquid. Almost 50% of the tokenized stocks are trading over Hyperliquid. Tokenized stock trading is growing very quickly. On the other side, Hyperliquid is also gaining strength. Its market is trading and developing.
HIP-3 is the main reason for Hyperliquid, which helps developers to grow their business in the market. This allows developers from outside to make their own long-term market. This helps others to expand the trade. Not just for crypto but to use it in other manners. A big benefit to everyone is that it is a 24/7 trading service and can be accessed any time.
At the start of the year 2026, Hyperliquid announced that HIP-3 holds 2% of the market. But now they listed around 50% of the market of outside developers, who are trading constantly. TradeXYZ is leading the growth of the market.
The Hyperliquid market is upgrading as the time passes. They are improving their securities, fees, liquidation, and many other things. On 18 May, TradeXYZ launched a SpaceX pre-initial public offering (pre-IPO) perpetual market
This kind of upgrade helped everyone, especially as a big benefit to Hyperliquid. So that anyone can make their own market out there. The Hyperliquid market is growing very fast. In the start of the year, it had around $790 million worth of market. But currently holds around $3 billion.
Tokenized Stocks Are Exploding on Hyperliquid — Here’s Why was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
eToro’s Extended Stake Shows Retail Brokers Are Still Eyeing On-Chain Derivatives is a useful reminder that crypto coverage is not only about token prices. Sometimes the more important story is the infrastructure, regulation, security, or product layer sitting underneath the market noise.
The immediate point is straightforward: eToro has taken a strategic stake in on-chain derivatives protocol Extended. That gives readers something concrete to work with, rather than another vague sentiment update.
The timing matters because eToro is already part of a wider conversation across the market. Traders want to know whether the development changes liquidity or risk. Builders want to know whether it changes what can be deployed. Compliance teams want to know whether it changes how platforms operate.
In that sense, the story is bigger than one headline. It sits inside the ongoing shift from speculative crypto cycles toward more practical questions: who can use these systems, how safe are they, and whether the underlying incentives actually work.
The best way to read it is with discipline. It is not a guarantee of immediate upside, and it should not be treated as one. But it does add a fresh data point to the way the market is thinking about eToro.
For eToro, the important part is the specific mechanism. If this is a security issue, the risk sits in dependencies and user protection. If it is a listing or product launch, the question is access and liquidity. If it is a governance or research proposal, the question is whether the idea can survive implementation.
That is where this update becomes useful. It is not just a label attached to a trend. It gives readers a way to understand what might actually change if the development gains traction.
Crypto has a habit of turning every announcement into a broad market claim. This one deserves a narrower read. The value is in seeing how it affects the users, developers, institutions, or traders closest to the issue.
There is also a caution attached. Source material can confirm that a development exists, but it cannot prove that adoption will follow. A proposal still needs support. A product still needs users. A chart still needs confirmation. A compliance tool still needs integration.
That is why the responsible reading is not to oversell the story. The stronger takeaway is that this adds to a pattern. The crypto market is steadily becoming more professional, more technical, and more sensitive to real operational details.
Readers should also watch for follow-up signals. That could mean developer feedback, exchange support, regulatory response, wallet adoption, liquidity data, or simply whether market participants continue reacting after the first headline fades.
The next stage will decide whether this remains a narrow update or becomes part of a larger market theme. In crypto, that difference matters. Plenty of stories look important for a few hours and then disappear. The ones that last usually show up again through usage, liquidity, enforcement, governance, or developer adoption.
For now, this gives the market another piece of information to weigh. It is specific enough to be useful, but still early enough that readers should keep the caveats in view.
That makes it worth covering without pretending it settles anything. The story is a signal, not a final verdict.
This report is based on information from thedefiant.io.
This article was written by the News Desk and edited by Samuel Rae.
In early July 2026, the team behind dYdX launched Arcus, a self-custodial exchange for trading tokenized stocks around the clock. You can buy exposure to Tesla, Apple, or Amazon at 2 a.m. on a Sunday, and soon trade them with leverage. It was built with Robinhood Crypto and runs on Robinhood Chain.
Traders were not impressed. DYDX, the older token, fell about 23% in a day. This Arcus review covers what the exchange actually does, what a “Stock Token” really is, how the fees work, and why the launch rattled the market.
Join Arcus Perps waiting list
Disclosure: This article contains affiliate links. If you open an Arcus account through a link on this page, I may earn a commission at no extra cost to you. It never changes what we write or the numbers we cite.
Arcus is a decentralized exchange from dYdX Labs and Robinhood Crypto. The idea is one self-custodial account that handles both spot tokenized stocks now and leveraged perpetuals on the same assets soon. Spot trading is live across 95 Stock Tokens and indices, running 24/7 instead of only during New York market hours. The 35-market perpetuals side is still rolling out from a waitlist.
It runs on Robinhood Chain, an EVM layer-2 built by Robinhood, a broker with more than 25 million users. Block times sit around 100 milliseconds, and the API is built to handle thousands of orders per second. If you have used dYdX, the order-book experience will feel familiar. Same engineering roots, pointed at equities this time.
One thing to be clear about: Arcus is a separate company from dYdX. It is not dYdX v4, and the DYDX token is not the Arcus token.
This is the part worth slowing down on, because it is where people get caught out.
An Arcus Stock Token is not a share. It is a tokenized security that gives you economic exposure to the underlying stock through a contractual claim against the issuer, redeemable for cash. Robinhood’s infrastructure issues the tokens and backs them 1:1, and a proof-of-reserves system is meant to confirm that backing.
What you get: price exposure that tracks the real stock 24/7, genuine self-custody (you can move tokens to your own wallet and use them in DeFi), and dividends and corporate actions passed through at the token layer.
What you don’t get: voting rights, or the ability to redeem for the actual share at a brokerage. You redeem for cash against the issuer instead. The tokens can also be frozen or seized under the issuer’s rules, which is not how a share sitting in your own brokerage account behaves.
So “trade stocks on-chain” is shorthand. What you are really buying is contractual exposure with real counterparty and regulatory terms attached. To its credit, Arcus says so in its docs.
Spot tokenized stocks already exist in plenty of places. Leverage on them is rarer, and it is where this team has an edge.
Arcus perpetuals cover 35 real-world-asset markets across equities, crypto, commodities, and indices, with up to 50x leverage according to the beta materials. Positions are cross-margined from one account, with the risk machinery you would expect from ex-dYdX engineers: initial and maintenance margin, partial liquidations, an insurance fund, and auto-deleveraging as the last line of defense. Funding payments apply on top of trading fees.
The roadmap is where it gets ambitious. Arcus has said it plans to let you post tokenized stocks and crypto as collateral for perps, and to open pre-IPO trading for private companies like OpenAI. Leveraged, self-custodial exposure to both public and pre-IPO equities would be hard for competitors to copy, if Arcus ships it.
Arcus charges 0% commission on spot Stock Tokens. That is true, but it is not the whole cost.
Spot prices come from an RFQ (request-for-quote) model, so your real cost is the spread baked into each quote rather than a line-item fee. Perps use a tiered maker/taker schedule, with maker rebates paid out over epochs, plus funding. You can fund the account with cash or crypto through a bridge, so bridging and FX costs may apply depending on how you get in.
If you trade actively, judge Arcus on effective cost per round trip, not on the “$0 commission” headline.
On launch day, DYDX fell roughly 23% in 24 hours to around $0.138, adding to what had already been a rough stretch.
The reasoning behind the sell-off was easy to follow. Arcus is a separate entity with its own future token, built on a broker’s layer-2 rather than the Cosmos-based dYdX Chain. Traders decided that revenue from tokenized-stock and perp trading would accrue to Arcus, not to DYDX stakers, and that the core team’s focus was drifting away from the appchain DYDX secures.
The dYdX Foundation moved quickly to calm things down. On July 1, 2026 it said Arcus and the dYdX Chain are entirely separate ecosystems, and that the Arcus launch has zero operational or economic impact on dYdX Chain. That reassured appchain holders, but it also confirmed the fear underneath the sell-off: the promising new product and the existing token sit in separate boxes.
The one thread connecting them is that reserved allocation of the future Arcus token for the dYdX community. If you traded, staked, or validated on dYdX, that is the reason to keep an account active.
Tokenized equities are already a competitive market. The on-chain portion is worth well over a billion dollars, and three names hold most of the activity:
Arcus is not competing on catalog size. Its angle is the combination: spot and leveraged perps on the same assets, in one self-custodial account, from the team with the strongest perp-DEX track record in crypto, on infrastructure funded by the broker that issues the underlying tokens. That is a narrower bet than listing everything, and probably a sturdier one.
First, the gate. Arcus is not available in the US, UK, Canada, or several other restricted jurisdictions, and KYC enforces the residency check. The launch covered more than 120 eligible countries.
If you are in one of those countries, comfortable with KYC, and clear that you are buying economic exposure rather than equity, Arcus is worth an early account. Nothing else quite matches leveraged, self-custodial exposure to stocks and commodities right now.
If not, wait. The product is a few weeks old, perps are still behind a waitlist, and the token that would reward early users has not published a single number yet. Whatever you put in, size it like a beta.
Is Arcus the same as dYdX?
No. Arcus is a separate company on a different chain, built by the same team. dYdX v4 keeps running on its own, and DYDX is not the Arcus token.
Can I use Arcus in the US?
No. The US, UK, Canada, and other restricted jurisdictions are excluded, and KYC enforces the residency check.
Are Arcus Stock Tokens real shares?
No. They track the price and are backed 1:1, but carry no voting rights and can’t be redeemed for actual shares, only for cash against the issuer.
Is there an Arcus airdrop?
A future Arcus token is confirmed, with an allocation reserved for the dYdX community. No supply, mechanics, or date has been published, so treat any “airdrop” claim as speculation for now.
Is Arcus safe?
It is self-custodial, with proof of reserves and an insurance fund on perps. On the other side, it is a weeks-old beta, and Stock Tokens are regulated instruments with real counterparty terms. Read the docs before you size up.
Arcus is the most credible on-chain stocks product so far. It has the right team, Robinhood’s backing and infrastructure, 1:1 issuance, zero spot commission, and real self-custody. The caveats are just as real: a very young beta, a KYC and geo gate that locks out three major markets, a “zero fee” that is actually a spread, and “stocks” that are economic exposure rather than equity.
If you qualify and you understand that trade-off, open a small account and learn the product. If you don’t, keep an eye on the token announcement. That is the next real catalyst worth watching.
This article is for informational purposes only and is not financial advice. Trading tokenized securities, crypto, and leveraged perpetuals carries a substantial risk of loss. Do your own research and never risk more than you can afford to lose.
Arcus Review: The dYdX Team’s 24/7 Stock-Token DEX was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Every piece of information has a half-life. By the time it reaches you, the edge it once carried has usually decayed past usable.
This is not a complaint about being late. It is a description of how information moves through markets. The same headline that feels urgent at 9:00 was already known at 8:45, traded at 8:30, and structurally positioned for at some point earlier in the week. The version you receive is the final, most-public iteration of a story that has been circulating, in different forms, through different participants, for a long time.
The trader who acts on widely-known information is not acting on information. They are acting on a residue of it.
Markets are not flat. Information does not arrive simultaneously to all participants. It moves through layers, and at each layer, the pricing power of that information decays.
At the earliest layer, there is the source. A protocol team aware of a vulnerability. A market maker watching unusual order flow on a counterparty’s books. A custody desk seeing redemptions from a fund. These participants are not predicting anything. They are observing the raw inputs that will, eventually, become a story for everyone else.
The next layer is the close network. People one or two relationships away from the source. They do not have the same certainty, but they have enough conviction to act. Their positioning starts shifting the price in small, often unattributable ways.
After that come professional traders who read the order book carefully. They cannot see the source, but they can see the footprints. Unusual buys at calm hours. Aggressive bids on low liquidity. A widening spread that does not match the surface narrative. These traders act on inference, not knowledge.
Then come analysts, who construct theories from price action and on-chain data. Then retail-focused newsletters, which repackage those theories. Then social media, which amplifies the conclusion without the reasoning. Then mainstream coverage, which announces it as news.
By the time the story is news, the price has moved through every prior layer of positioning. The information has been priced six times before it reaches the seventh layer.
There is a paradox in how information feels. The earliest layers operate quietly. A few orders. A few conversations. No headlines. The latest layers operate loudly. Trending posts. Push notifications. Television segments.
The volume of attention is inversely correlated with the freshness of the information. By the time something is loud, it is also stale.
This creates a structural illusion. Loudness feels like signal. The trader watching social media sees activity, conversation, urgency, and reads it as evidence that something is happening. Something is happening, but it is the discussion of an event, not the event itself. The event already occurred when the first layer began positioning.
The decay is not always visible in the chart, but it is usually visible in price before the headline. The market does not wait for confirmation. It responds to the early layers, drifts during the middle layers, and often reverses by the time the last layer arrives. This is the entire structure behind why markets move before news. The price is not predicting. It is reflecting positioning that the public layer has not yet seen.
When a trader acts on information that has already passed through most of the layers, they are not buying edge. They are buying the appearance of edge. The signal is real. The reasoning is sound. But the position has already been taken by others, and those others now need someone to sell to.
The late entrant is the exit liquidity for the early layer.
This dynamic is most visible during news-driven moves. A protocol announces a partnership. Price spikes on the headline. The trader who entered on the headline often watches price fade for the rest of the session. The move that looked like the beginning was actually the end. The earlier participants who positioned during the rumor phase used the headline-driven enthusiasm to distribute.
Nothing about this is conspiratorial. It is the natural consequence of how information propagates. If you can see the headline, the headline has already been processed by the market.
It would be wrong to suggest each layer is a homogeneous group acting in coordination. They are not. Within each layer, participants disagree about magnitude, timing, and interpretation. Some early actors take small positions. Some take large. Some hedge. Some scale.
But what is consistent across layers is the type of information available. The early layers have access to raw inputs. The middle layers have access to inferred patterns. The late layers have access to confirmed narratives. Each type of information is less actionable than the one before it, because the price has already absorbed the earlier interpretations.
By the time the narrative is confirmed, the actionable phase is over. What remains is positioning around the resolution, not around the discovery.
The most expensive feeling in markets is the feeling of being informed.
A trader reads three articles, watches two interviews, and follows a thread that summarizes a complex situation. They feel they understand. They feel prepared. They take a position based on what they now know.
The problem is that the act of being able to read those three articles means the information is already public. The thread exists because someone wrote it, which means someone else read it first, which means the conclusion the trader is now reaching was reached by others days or weeks earlier.
Feeling informed is a sign that the information has fully decayed. The market did not wait for the trader to read the thread. It moved during the period when only the source knew. By the time the trader arrives at a confident interpretation, the price reflects a different stage of the cycle, often the stage where early positioning is being unwound.
A good study in this is the exploit was expected — a clean example of how informed participants act on information before the public layer ever sees it, and how the headline arrives at the moment the early layer is exiting.
A common response to this problem is to try to move faster. Refresh feeds more frequently. Subscribe to more sources. Watch more screens. The reasoning is that if late information is decayed, then earlier information must be better, and the way to access earlier information is to consume more of it.
This logic fails because the constraint is not consumption speed. It is layer position. A trader on social media can refresh every second and still be in the seventh layer. The earlier layers are not faster versions of the same channel. They are different channels entirely.
The professional desk does not learn about the order flow from Twitter. They see the order flow directly. The custody team does not learn about redemptions from a newsletter. They process the redemptions. No amount of faster consumption moves a participant from a downstream layer to an upstream one.
Speed within a layer is not the same as access to a higher layer.
If information decays past usable by the time most traders see it, what is actually tradable? The honest answer is: structure, behavior, and price itself.
Structure does not decay. The architecture of how markets move, how liquidity gathers and disperses, how participants behave at certain types of levels, remains valid across cycles. It is not faster information. It is a different kind of information entirely.
Behavior does not decay either. The way crowds react to losses, to rallies, to news cycles, is consistent over time. A trader who studies behavior is not racing against the information layer. They are operating on a different axis.
Price itself is the most honest layer. Price reflects all the positioning that has already happened, including from the earliest layers. A trader who reads price carefully is not trying to predict what comes next. They are trying to see what has already been decided.
These are slower, less exciting forms of analysis. They do not produce the urgency that headline trading produces. But they do not depend on being early to information, because they do not depend on information in the conventional sense.
Most traders are in the late layer most of the time. This is not a personal failure. It is a structural fact of how information distributes.
The useful response is not to pretend otherwise. It is to assume lateness as the default, and to design behavior around it. If you are late, the headline is not a buy signal. It is, more often, a sign that the move you are reading about is in its distribution phase. The trader who acts on the headline is providing liquidity to the participants who acted weeks earlier.
This does not mean acting on news is always wrong. It means acting on news as if it were fresh information is always wrong. The information is not fresh. The price has already absorbed it through six earlier layers.
The trader who understands this stops chasing the feeling of being informed. They stop refreshing feeds for an edge that the feed cannot provide. They start watching structure, behavior, and price, because these are the few layers that do not decay between the source and the screen.
The half-life of information is short. The half-life of structure is long. Most traders spend their effort optimizing for the wrong one.
Every day I track one thing: where market structure and crowd sentiment disagree — and which one leads. Today’s read:
Daily on swaphunt.dev. Same on @SwapHunt. Not financial advice.
How Information Loses Its Edge in Markets was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
On July 9, CoinDesk reported that a trader turned $800 into over $1 million riding CASHCAT, the first breakout memecoin on Robinhood Chain. The chain was eight days old.
Stories like that are why you’re here. And if you’re hunting for the best memecoin trading platform for Robinhood Chain, being early is the whole game. The chain is two weeks old, most tooling hasn’t caught up, and the traders making money right now are the ones who picked the right terminal before everyone else showed up.
Quick answer: GMGN is the best memecoin trading platform for Robinhood Chain right now. It’s the only terminal with full chain support on web, mobile, and API. It indexes the native launchpads (Flap, Flapstock, Klik), handles launchpad buy caps without failing your transaction, and runs rug checks on every token, with its smart money copy trading working from day one. Axiom and Pump.fun both added support in July 2026 and are decent secondary options.
The rest of this guide is the evidence.
Some links in this article are affiliate or referral links, including links to GMGN and Axiom. If you create an account or trade through them, We may receive a commission or a share of referral rewards at no additional cost to you.
Robinhood Chain is a permissionless, Ethereum-compatible Layer 2 blockchain built on Arbitrum Orbit by Robinhood Markets. Public mainnet went live on July 1, 2026, alongside stock tokens, on-chain lending, and agentic trading.
Robinhood built the chain for tokenized stocks and real-world assets. The market had other plans. Within a week of mainnet, daily DEX volume blew past half a billion dollars and a cat coin, not a stock token, was the network’s main event. Even Robinhood CEO Vlad Tenev shrugged and admitted the chain “works great for memes too.”
The early numbers, per Entropy Advisors’ network overview dashboard on Dune and reporting from The Defiant and Cointelegraph:
And the memecoin that started it all: CASHCAT gained more than 1,300% in a single day, hit a market cap near $137 million, and at one point made up roughly 79% of the total market cap of the chain’s top 25 memecoins.
One token being 79% of the market is not a healthy market. It is also the strongest argument that the next CASHCAT hasn’t launched yet. Both things are true, which is why tooling matters more here than on any mature chain.
On Solana or Base you can afford to be picky about terminals, because everything supports everything. On a chain this young, three things decide whether you make money, and none of them are your chart-reading skills:
GMGN was the first major multi-chain terminal to go all-in on Robinhood Chain, and right now the gap is embarrassing. Its announcement put it plainly: “Everything live on Robinhood Chain now runs on GMGN — web and app.”
I went in skeptical, because day-one chain integrations are usually half-broken. This one isn’t.
Launchpad coverage first, since that’s where the money is. GMGN indexes tokens from Flap, Flapstock, and Klik the moment they deploy — the same trenches feed you know from Solana, with the same filters for market cap, holder count, and dev behavior. On a chain where the next runner will come from a launchpad nobody’s heard of, seeing deploys in real time is the entire edge.
Then there’s the detail that sold me. The Noxa launchpad caps individual buys at 2% of supply, a clever anti-sniper rule that happens to break normal swap interfaces. Send a bigger order through most frontends and it simply fails. GMGN fills you up to the cap and refunds the rest automatically, so you don’t burn gas on failed transactions or sit there resizing orders while the candle runs away from you.
Security checks run on every token: honeypot detection, liquidity burn status, mint authority, top-holder concentration, and a rug probability score. On a two-week-old chain this is the single most valuable feature on this list. Use it every time. I mean every time.
Copy trading carried straight over too. GMGN made its name tracking profitable wallets, and the wallets that caught CASHCAT early are visible on-chain right now. You can follow them, get alerts when they buy, and mirror their entries with your own size and stop-loss rules.
Two smaller things worth knowing. The mobile app has full parity with the web terminal, so you’re not chained to a desk. And GMGN’s API already covers Robinhood Chain, which means bots and AI trading agents can plug straight in. Given that Robinhood is pitching this chain around agentic trading, being API-ready on day one is not an accident.
On fees: a flat 1% per trade, no subscription. A referral code cuts that by 10–30%, so realistically 0.70–0.90%. CoinCodeCap has a full guide to GMGN’s settings, fees, and copy trading setup if you want to squeeze it properly.
If you only set up one memecoin trading platform for Robinhood Chain, set up this one.
Axiom is the YC-backed terminal that at one point held more than half of Solana’s memecoin terminal market. It added Robinhood Chain around July 10 and celebrated with a $100K first-come-first-serve trading incentive, which tells you how seriously these platforms are taking this chain.
The core Axiom experience carries over: the Pulse discovery feed, wallet tracking, a built-in X monitor for narrative trading, MEV protection, limit orders. Fees are the sharpest of the big terminals, a 1% base cut by tiered cashback down to an effective 0.75% at the top tier, with referral codes stacking another 10% off.
My hesitation is depth, not quality. The integration is days old and Axiom’s DNA is Solana. Its launchpad indexing and execution on Robinhood Chain haven’t been battle-tested the way GMGN’s have. If you already live in Axiom, add the chain and keep your workflow. If you’re starting fresh here, GMGN covers more of the chain today. Either way, keep an eye on this one; Axiom ships fast.
The biggest name in memecoin launchpads didn’t ignore the party either. Pump.fun added trading support for Robinhood Chain tokens on July 8, right as CASHCAT peaked.
If you already live inside Pump.fun, it’s the lowest-friction way to get exposure. Just know what you’re getting: a trading integration, not a full terminal. You won’t get smart money tracking, launchpad-wide discovery, or the security screening the dedicated terminals run. Use it as an extra venue rather than your main workstation.
The chain’s own ecosystem is forming fast. A widely shared roundup of early Robinhood Chain projects maps the landscape, and several pieces matter directly to memecoin traders:
You can trade on these venues directly, and occasionally you’ll need to. But going direct means giving up the screening and speed a terminal gives you. My pattern: discover and execute through the terminal, and use the native venues to see where liquidity actually lives.
Now the part people skip. Most memecoins go to zero, and this particular casino is eleven days old. CASHCAT alone was ~79% of the top-25 memecoin market cap at its peak; if it unwinds, it takes most of the chain’s meme liquidity with it. The launchpads are unaudited, the deployers are anonymous, and the same retail flow that makes this chain exciting makes it a magnet for extraction. Trade with money you can lose completely, because you might.
What is the best platform to trade memecoins on Robinhood Chain?
GMGN is the best memecoin trading platform for Robinhood Chain as of July 2026. It offers full chain support on web, mobile, and API, indexes the native launchpads (Flap, Flapstock, Klik), handles launchpad buy caps automatically, and includes rug checks and copy trading. Axiom and Pump.fun are the strongest alternatives.
Does GMGN support Robinhood Chain?
Yes. GMGN added full Robinhood Chain support in July 2026 across its web terminal, mobile app, and trading API. Everything live on the chain, including tokens from the Flap, Flapstock, and Klik launchpads, is tradeable on GMGN with the same smart money tracking and security screening it runs on Solana, Base, BSC, and Ethereum.
What fees does GMGN charge on Robinhood Chain?
GMGN charges a flat 1% fee per trade with no subscription. Signing up through a referral code reduces the fee by 10–30%, bringing the effective rate to roughly 0.70–0.90%, plus network gas (currently around $0.005 per transaction on Robinhood Chain).
Can I trade Robinhood Chain memecoins on Pump.fun or Axiom?
Yes. Pump.fun added trading support for Robinhood Chain tokens on July 8, 2026, and Axiom integrated the chain around July 10. Both work, but neither yet matches GMGN’s native launchpad indexing or its handling of chain-specific quirks like Noxa’s 2% buy cap.
What is CASHCAT?
CASHCAT is the first breakout memecoin on Robinhood Chain. Within a week of the chain’s July 1, 2026 mainnet launch, it gained more than 1,300% in a single day, reached a market cap near $137 million, and at its peak made up roughly 79% of the market cap of the chain’s top 25 memecoins. One early trader famously turned $800 into over $1 million.
How do I buy memecoins on Robinhood Chain?
Bridge ETH to Robinhood Chain using the official bridge, connect your wallet to a trading terminal like GMGN, switch the chain selector to Robinhood, and buy through the terminal’s swap interface. Always run the built-in security check before buying, because the chain is new and rug pulls are common.
Robinhood Chain is the rare new-chain launch with real retail energy behind it, and the tooling race already has a leader. GMGN is the best memecoin trading platform for Robinhood Chain right now, and it isn’t a close call: nothing else combines launchpad coverage, buy-cap handling, rug checks, copy trading, and an API. Axiom is the challenger worth a bookmark. Pump.fun is a handy extra venue. The native launchpads are where you watch this ecosystem grow up.
The next CASHCAT will launch on a launchpad you haven’t heard of, get sniped by wallets you could have been tracking, and hit your timeline after the 50x. The whole point of a good terminal is to be earlier than that.
Set up GMGN for Robinhood Chain and start with the settings guide on CoinCodeCap.
Disclosure: This article may contain referral links. Nothing here is financial advice. Memecoins are extremely high-risk assets, and you should do your own research before trading. Data points are as of July 12, 2026, and will change quickly.
3 Best Memecoin Trading Platform for Robinhood Chain was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
I build things that last. For thirty-one years, I’ve been hand-planing walnut slabs, cutting dovetail joints, and rubbing oil finishes into dining tables that will outlive the families who buy them. I can feel the grain of a wood species just by running my palm across it. Wood doesn’t lie to you. It tells you exactly what it can bear and where it will fail.
I should have trusted my hands more than I trusted a website.
The portal at robusumbrella.com looked professional. Boring, even. That’s what made it feel safe. No flashy animations or promises of overnight millions. Just steady, European-sounding talk about bonds and diversification. The man on the phone had a calm voice. He asked about my workshop, my process, how long it took me to finish a table. He made me feel like he understood the value of patient work.
My partner’s Parkinson’s diagnosis changed everything. I needed to sell the workshop on our terms, not in a panic. I needed the money to grow safely. Robus Umbrella promised exactly that.
I tested them first. Withdrew a small amount to buy therapy equipment. The money arrived in five days with proper banking codes. I felt smart. I felt like I’d finally figured out how to protect us.
Then came the surgery deposit. The money we needed for her Deep Brain Stimulation procedure. When I tried to withdraw it, the website froze. A “Regulatory Hold” appeared. Then the emails started — each one demanding another fee. Security verification. Compliance charges. Tax clearance. Every time I paid, they promised the money would be released tomorrow.
I sat in my workshop at midnight, surrounded by half-finished tables, my hands shaking as I sent the last wire transfer. I wasn’t just losing money. I was losing the ability to look at my partner and tell her everything would be alright. When the phone stopped ringing and the website went blank, the silence of that workshop was heavier than any slab of walnut I’d ever lifted.
I was ready to give up. I felt old, foolish, and discarded. But a friend told me about AYR’LP. I called them, expecting to hear that a furniture maker with a broken heart didn’t stand a chance.
They didn’t treat me like a fool. They traced the digital path of my savings, peeled back the layers of the operation, and worked with authorities to freeze the criminals’ accounts. They helped me recover a portion of my savings. Enough to pay for the surgery. Enough to keep my dignity.
I’m still in my workshop. I still rub oil finishes into walnut. But I no longer trust a calm voice on the phone. I know now that there are people in this world who steal corporate identities the way I steal beauty from a tree. The difference is, I create. They destroy.
The Name They Stole was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
That trade cost me more than money. It was one of the last dominoes before I blew up the account for good. But it also taught me the single most useful thing I know about derivatives: the crowd’s pain points are printed on the chart, in advance, if you know where to look.
That is what this guide is about. I am going to show you how to trade liquidation clusters on Hyperliquid using real, repeatable setups across BTC, ETH, and SOL. Not theory. Not “liquidations are when leverage goes bad.” Actual entries, stops, and targets, plus the mistakes that nearly ended my trading career.
Quick answer: A liquidation cluster is a price level where a large number of leveraged positions get force-closed at the same time. On Hyperliquid you can see these clusters forming on a liquidation heatmap before they trigger. You trade them by fading the sweep into a dense cluster, riding the cascade through thin zones, and never resting a stop inside one.
Hyperliquid Liquidation Heatmap - Live Liquidation Clusters
Let me build it from the ground up. Skip ahead if you already know the mechanics.
A liquidation happens when a leveraged position can no longer cover its losses. The exchange force-closes it to protect the system. The price where that happens is the position’s liquidation price.
Now stack thousands of traders together. A lot of them open positions near the same support, at the same round numbers, at similar leverage. Their liquidation prices bunch up. That bunch is a liquidation cluster, and on a Hyperliquid liquidation heatmap it shows up as a bright band at a predictable price.
Hyperliquid is a clean place to study this for one reason: it is on-chain. The positions are real and visible, not a centralized exchange’s best guess. The protocol liquidates against the mark price (a smoothed oracle price), not the last trade, so wicks on a single venue cannot nuke you the way they can elsewhere. Once your margin falls below the maintenance margin requirement, you are gone, and a backstop liquidator (often the HLP vault) takes the position.
Leverage caps shape where clusters form. BTC allows up to 40x. SOL sits lower, usually in the 20x to 25x range. Higher caps mean traders pile in tighter to the current price, so BTC clusters often sit closer to spot than SOL clusters do. Hold that thought, because it matters when we compare assets.
The live BTC liquidation heatmap on HyperPerps. Teal bars above spot are short-liquidation clusters (upside fuel). Red bars below are long-liquidation clusters (downside fuel). Wider and brighter equals more leveraged size waiting at that price.
A liquidation heatmap is just a map of where those clusters sit. Price runs up the side. Time runs across. The bright bands are where the leverage is stacked.
Here is the mental model I use:
(If you are following along, pull up the live BTC, ETH, and SOL heatmap I link near the bottom and keep it open. Reading this with a static screenshot is like learning to swim from a textbook.)
The skill is not spotting the brightest band. Everyone sees that. The skill is reading which clusters are fresh and unfilled versus already swept. A cluster that price has already pierced is spent. A cluster sitting just out of reach, glowing, untouched, is a loaded spring.
A single liquidation is a market order the trader did not choose to send. When a long gets liquidated, the system sells. That selling pushes price down. Lower price triggers the next liquidation cluster. More forced selling. Lower price. You see where this goes.
That feedback loop is a liquidation cascade, and it is why clusters are not just lines on a chart. They are fuel.
Hyperliquid adds its own wrinkle. Liquidations get processed in chunks rather than all at once, with the backstop vault absorbing size in steps. That can make a cascade look stair-stepped instead of a single vertical candle. For us, that stair-stepping is a gift, because it gives you time to react instead of waking up already stopped out.
Cascades feel violent and random in the moment. They are not. They are a chain reaction with a visible fuse. The heatmap is the fuse.
Price with the liquidation overlay on. You can watch candles get pulled toward the dense clusters in real time, then accelerate through the thin zones between them.
This is the part almost nobody writes about, and it is where the edge lives. The three majors do not behave the same, and trading them like they do is how you get chopped up.
Here is what I have found after staring at these books longer than is healthy.
BTC clusters are deep and slow. Bitcoin has the most open interest and the deepest liquidity on Hyperliquid. Its clusters act like strong magnets, but price tends to grind into them rather than rocket. A BTC cluster sweep often gives you time to position. Fades work well here because reversals off BTC clusters are usually orderly. The risk is that a truly big cluster can absorb a lot before it breaks.
SOL clusters are shallow and violent. Solana runs lower max leverage but far higher relative volatility and thinner liquidity. When a SOL cluster goes, it goes. Cascades resolve fast and overshoot. The fade still works, but your stop has to respect that SOL can spike three percent past a cluster before snapping back. Size down. SOL is where I have been right on direction and still liquidated on timing.
ETH sits in the middle. Ethereum behaves like a calmer Solana or a twitchier Bitcoin, depending on the week. Its clusters are meaningful, its cascades have real follow-through, but it rarely overshoots as savagely as SOL. ETH is the asset I send to people learning this, because the signals are clear enough to read and forgiving enough to survive.
The practical takeaway: the same setup needs different stops and different size on each asset. A stop that is sane on BTC is suicide on SOL.
Enough background. Here are the three setups I actually use. Each one has an entry, a stop, and a target, because a setup without all three is just a vibe.
This is the bread and butter. Price runs into a dense cluster, triggers the forced orders, overshoots, and snaps back. You are fading the overshoot.
The fade works because most of the forced selling (or buying) is exhausted right after the sweep. The crowd that was going to get liquidated already did. Supply dries up. Price reverts.
The mirror image. Instead of fading the cluster, you ride the chain reaction between clusters.
This is higher risk and higher reward. You are trading momentum, not reversion. I keep size smaller here and I am quick to take the meat of the move.
This one is not a setup. It is a rule written in my own blood (and margin).
Whatever you trade, your stop cannot live inside a liquidation cluster. That is the first place price gets dragged. Put your stop where my younger self put his, in the brightest band on the board, and you are volunteering to be the liquidity that fills everyone else’s fade.
Place stops beyond clusters, not inside them. Give the magnet room to do its work and then invalidate you cleanly on the other side.
A cluster tells you where. Funding tells you who.
When funding rates are heavily positive, longs are paying shorts, which means the book is crowded long, which means the painful move is down, into the long liquidation clusters below. Heavily negative funding flips it: crowded shorts, and the squeeze runs up into the short clusters above.
Stack the two signals. A fat long-liquidation cluster sitting below price plus stretched positive funding is the highest-conviction fade-the-bounce-or-ride-the-flush setup on the board. The crowd is offside and the fuel is loaded under them.
I also glance at open interest. Rising OI into a cluster means new leveraged money is feeding the fire. Falling OI means positions are already closing and the cluster may fizzle. Cluster plus funding plus OI is the three-legged stool. Two legs is a coin flip. Three is an edge.
People ask me how much to size around clusters. Here is the rule of thumb I actually use.
The closer and denser the nearest opposing cluster, the smaller your size, because the odds of a violent sweep through your level go up. The farther and thinner the nearest cluster, the more room you have and the more size you can justify.
Practically: if I am long and there is a giant long-liquidation cluster two percent below me, I am trading half size, because that magnet is hungry. If the nearest meaningful cluster is six percent away through thin air, I will carry more. Size is not a fixed number. It is a function of how close the next landmine sits.
And on SOL specifically, cut whatever number you landed on. I mean it.
Not all clusters are equal. Some are dumb money you can hunt. Some are smart money you should respect.
A retail cluster forms from over-leveraged late entries: a vertical pump, everyone piling in at 20x near the top, a wall of liquidation prices stacked just under the move. These get swept. That is the high-probability fade.
A smart-money cluster is built more deliberately, often lower leverage, often defended. When a cluster keeps getting tested and refuses to break, that is positioning with conviction behind it, not tourists. Fading that is how you get run over.
How do I tell them apart? Cohort positioning and context. Retail clusters appear fast, near local extremes, after emotional moves. Smart clusters build slowly, at structure, and absorb pressure without flushing. When in doubt, watch how the cluster reacts to its first test. The crowd panics. Conviction does not.
I have made every one of these, so I am not lecturing from a pedestal. I am pointing at the rake I already stepped on.
Everything above is useless on a stale screenshot. Clusters move. You need to watch them load in real time.
I keep the Hyperliquid liquidation heatmap on HyperPerps open while I trade. It polls all of Hyperliquid’s perps and surfaces the large BTC, ETH, and SOL clusters as they build, which is exactly the on-chain, first-party data this whole strategy depends on. Pull it up, find the fattest fresh cluster on BTC right now, and check the funding. That is your first rep.
If you want to actually run these setups, you need an account on the venue itself. Hyperliquid is the on-chain perps exchange this entire playbook is built around, and it is where the cluster data is real instead of estimated.
You can sign up and trade through our code here: app.hyperliquid.xyz/join/HYPERPERPSBOT. Using the HYPERPERPSBOT referral gets you a fee discount, which matters more than people think when you are trading these setups actively. Fees are the silent tax on every fade.
It is a price level where many leveraged positions share the same liquidation price, so they get force-closed together if price reaches it. On Hyperliquid these are visible on-chain, which is why the heatmap data is more trustworthy than a centralized exchange’s estimate.
Size inversely to cluster proximity and density. If a large opposing cluster sits close to your entry (say within two percent), trade smaller, because a sweep through your level is likely. If the nearest meaningful cluster is far and thin, you can carry more. And always cut size further on high-volatility assets like SOL.
Retail clusters form fast, near local highs or lows, right after emotional moves, and they get swept. Smart-money clusters build slowly at real structure and absorb repeated tests without flushing. Watch the first test: the crowd panics, conviction holds.
No. A cascade often overshoots and snaps back, which is the basis of the fade. But cascades can also mark the start of a real trend if there is genuine momentum and rising open interest behind them. That is why you pair the cluster with funding and OI instead of trading it blind.
For Hyperliquid specifically, on-chain data has an edge because the positions are real and verifiable rather than inferred. CoinGlass aggregates across many venues, which is useful for the broad market. For trading Hyperliquid clusters directly, I want the native, on-chain picture.
I rebuilt my account, and my life, on one idea: stop being the liquidity. The traders who get cascaded are not unlucky. They are predictable, and their pain points are printed on the heatmap for anyone willing to read them.
Go pull up the clusters. Find the crowd. Then do not be it.
Nothing here is financial advice. It is one recovered degenerate’s hard-won opinion. Leverage is how I lost everything once. Respect it.
How to Trade the Liquidation Heatmap with Real-Time Data on Hyperliquid was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
The start of the third quarter greeted investors with a worse than expected jobs report for June along with negative revisions to prior months…putting a question mark on the health of the labor market.
The economy created just 57,000 jobs during June compared to estimates for 115,000, while May and April’s figures were revised lower by a combined 74,000 jobs. The unemployment rate ticked down to 4.2% on a drop in labor force participation.
Investors initially cheered the report with a rally in stock index futures, signaling a regime where bad economic news is good for equities. As the outlook for monetary policy becomes more hawkish, a softer jobs report could delay rate hikes from the Federal Reserve.
But the reality is that the jobs report likely hit the “Goldilocks” zone, and wasn’t bad enough to stoke growth concerns while also not strong enough to pull forward additional tightening from the Fed.
Even with the softer June jobs report, overall the recent trend in payrolls is inflecting higher based on the three- and six-month moving averages (chart below). Other economic reports received during the week reinforces the growth outlook.
That includes the ISM Manufacturing PMI that measures activity in the manufacturing sector of the economy. While the headline figure decelerated from prior report, it remained well into expansion territory while the leading new orders component points to growth ahead as well.
Signs of broadening economic activity helped send the S&P 500 higher by about 15% in the second quarter that ended last week, which was the best showing in six years. The final month of the quarter also saw market breadth spread beyond the tech sector and AI infrastructure trade.
This week, let’s look at the bullish continuation pattern forming in the S&P 500 while new 52-week highs are expanding across the market. We’ll also look at evidence that economic growth is broadening across industries.
Although the S&P 500 is coming off a hot second quarter with a 15% gain, the index topped in early June and has yet to make a new high. But the S&P 500 trading within a bullish continuation pattern and has been finding support at a key level. The dashed lines in the chart below show the symmetrical triangle pattern, which tends to resolve in the direction preceding the pattern (higher in this case). As the pattern has filled out, the S&P is finding support at the 50-day moving average (black line). The consolidation is also allowing the index to reset the MACD above the zero line, which is a bullish momentum reset. The pattern is forming against the backdrop of positive calendar seasonality in July and elevated bearish sentiment among retail investors.
While the June jobs report came in weaker than expected, other reports of economic activity are holding up. That includes surveys of business activity across manufacturing and services sectors. The ISM’s manufacturing survey remains above the key 50 level, indicating expansion in that sector of the economy. Underlying components are evolving favorably as well. The new orders figure was reported at 56, indicating growth and is considered a leading indicator of economic activity. Within the manufacturing report, the number of industries reporting growth is jumping higher and is a the best level since 2023 (chart below). That shows economic activity broadening beyond AI infrastructure capex spending.
While the S&P 500 has been consolidating since the start of June, the average stock has been rallying to new record highs. That includes the equal-weight S&P 500, small-cap stocks with the Russell 2000 Index, and the NYSE advance/decline line. New highs minus new lows across major exchanges are jumping higher as well. The chart below shows net new 52-week highs which jumped to the highest daily reading since April and is one of the largest figures of the past year. Improving breadth shows the foundation of the bull market broadening, which is positive for the outlook for forward returns.
Stock prices are a discounting mechanism for future business conditions, and will often turn six- to 12-months before an inflection in earnings. With that in mind, keep a close eye on semiconductor indexes that have gone parabolic around optimism for AI-driven earnings from the capex spend. But the move in semiconductor stocks will likely peak before its apparent the earnings cycle is turning. That’s the lesson from another semiconductor earnings boom heading into the internet bubble peak in 2000. The chart below plots semiconductor stocks in the top panel along with earnings (bottom panel) heading into the 2000 peak. Chip company earnings kept moving higher for nearly a year after chip stock prices peaked.
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Watching a new pattern after a failed break above the $250 level. The weekly chart shows this level is still in play as the stock makes a smaller pullback and resets the MACD above the zero line. I’m watching for an initial move over $250.
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No Longer Just the Megacaps: Average Stocks Lead the Way. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
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