Markets don't fail because volatility exists.
They fail when infrastructure treats every market condition exactly the same.
Candora continuously evaluates market-wide conditions and coordinates its infrastructure through a shared stress model. As volatility increases, risk management, settlement, and operational safeguards become progressively more conservative, while the matching engine continues to process eligible orders under the same deterministic execution rules.
That's how resilient markets are built.
The future of finance isn't just digital, it’s tokenized.
We are rapidly moving from a world of slow, paper-bound, illiquid assets to a 24/7, fractionalized global economy. RWA tokenization isn't a future concept anymore; it is actively rewriting the rules of ownership.
Candora Series B Round Is Now Open
Following the successful completion of our Series A Round, we are opening the next phase of investment to investors looking to participate in Candora’s continued growth.
Learn more and join the round 👇
https://t.co/9PloddjJn2
The current bull run is historic:
The S&P 500 is up +95% since the end of 2022, placing the current bull market within the strongest 10% at this stage of the cycle, in data going back to 1928.
By comparison, the top 25% of historical bull markets gained roughly +50% over the same period.
Meanwhile, the median bull market delivered just ~35% after 3.5 years.
The current bull run has remained within the strongest 10% of historical bull markets for 2 years, excluding the March-April 2025 correction.
Since the April 2025 low alone, the S&P 500 has surged +51%.
Market momentum is incredibly strong.
Everyone talks about price and not about liquidity.
High liquidity means stability, tighter spreads, and the ability to enter or exit positions without moving the market. It’s the invisible foundation that turns a volatile asset class into an institutional-grade market.
If you think home prices crashing is bad, you have fiat brain. Homes are consumer goods and the cheaper they are the better. You only think of them as an investment asset because your money is broken & you have never known savings.
At AMD, our people are at the heart of everything we do, and we are proud to invest in the next generation of innovators.
As America marks its 250th anniversary, AMD is joining @InvestAmerica24 and other participating organizations to support @TrumpAccounts, expand opportunity and help build a strong financial foundation for our employees and their families.
We look forward to matching the U.S. government’s $1,000 contribution under the Trump Accounts program for eligible children of our U.S.-based employees.
From research and architecture to working infrastructure.
Our latest article explores Candora's progress so far, what we've accomplished during the first half of 2026, and what we're building next.
Read the full update here.👇
https://t.co/WVK1sckCvc
News from the global #economy: What’s really making people ‘rich,’ why the #AI boom is generating backlash, and ‘fees’ versus ‘tolls’ in Hormuz.
https://t.co/6wnU0XxIf2
If we want to make the Lean Ethereum consensus chain aggressively more "lean", and add strong validator privacy (ZK-unlink deposit from staking activity from withdrawal, and re-anonymize stakers every day), here is a path:
https://t.co/Gdee7tE53R
Money has come a long way since the first uses of shells or coins millennia ago. Today, it may be considered our most used technology, as most people use digitally recorded money. Our Analyze This video explains tokenization and why programmable money is useful.
Berlin is taking center stage.
GITEX AI Europe, one of the world's leading tech, startup, and digital investment events, lands in the capital June 30 – July 1.
Two days. Global minds. The latest in tech and AI. Be there.
A brief history of Quantum computers 👇
1905: Albert Einstein explains the photoelectric effect and suggests that light consists of quantum particles or photons
1924: Max Born uses the term quantum mechanics for the first time
1925: Werner Heisenberg, Max Born, and Pascual Jordan formulate matrix mechanics, the first formulation of quantum mechanics
1925-1927: Niels Bohr and Werner Heisenberg develop the Copenhagen interpretation, one of the earliest and most common interpretations of quantum mechanics
1930: Paul Dirac publishes The Principles of Quantum Mechanics, a standard textbook on quantum theory
1935: Albert Einstein, Boris Podolsky, and Nathan Rosen publish a paper highlighting the counterintuitive nature of quantum superposition and arguing that quantum mechanics is incomplete
1935: Erwin Schrödinger develops a thought experiment involving a cat that is simultaneously dead and alive, and coins the term “quantum entanglement”
1944: John von Neumann publishes Mathematical Foundations of Quantum Mechanics, a rigorous mathematical framework for quantum theory
1957: Hugh Everett proposes the many-worlds interpretation of quantum mechanics, which suggests that every possible outcome of a quantum measurement actually occurs in a parallel universe
1961: Rolf Landauer shows that erasing a bit of information dissipates a minimum amount of energy, known as Landauer’s principle
1965: John Bell proves that quantum entanglement cannot be explained by any local hidden variable theory, known as Bell’s theorem
1973: Alexander Holevo proves that n qubits cannot carry more than n classical bits of information, known as Holevo’s theorem or Holevo’s bound
1980: Paul Benioff proposes a model of a quantum Turing machine, a theoretical device that can perform any computation using quantum mechanical principles
1981: Richard Feynman suggests that simulating quantum systems would require a new type of computer based on quantum mechanics
1982: David Deutsch generalizes Benioff’s model and proposes the concept of a universal quantum computer
1984: Charles Bennett and Gilles Brassard develop a protocol for quantum key distribution, which allows two parties to securely exchange cryptographic keys using quantum states
1985: David Deutsch and Richard Jozsa devise an algorithm that can solve a specific problem faster than any classical algorithm, known as the Deutsch-Jozsa algorithm
1991: Artur Ekert proposes another protocol for quantum key distribution based on quantum entanglement, known as the E91 protocol
1992: David Deutsch and Richard Jozsa extend their algorithm to handle multiple inputs, known as the Deutsch-Jozsa algorithm
1994: Peter Shor discovers an algorithm that can factor large numbers in polynomial time using a quantum computer, known as Shor’s algorithm
1996: Lov Grover invents an algorithm that can search an unsorted database in square root time using a quantum computer, known as Grover’s algorithm
1997: Isaac Chuang, Neil Gershenfeld, and Mark Kubinec demonstrate the first implementation of Shor’s algorithm using nuclear magnetic resonance (NMR) techniques
2000: David DiVincenzo proposes five criteria for building a practical quantum computer, known as the DiVincenzo criteria
2001: IBM researchers implement Grover’s algorithm using NMR techniques and achieve a modest speedup over classical algorithms
2007: D-Wave Systems claims to have built the first commercial quantum computer, but its validity is disputed by many experts
2019: Google announces that it has achieved quantum supremacy by performing a calculation on a 53-qubit quantum processor that would take a classical supercomputer thousands of years to complete
2020: IBM demonstrates that its 65-qubit quantum processor can perform calculations beyond the reach of any classical computer
📷 An IBM QC photographed by James Estrin