Axon Trade

?? 100 Books for Algorithmic Trading – Part 6: Case Studies & Real-World Stories ?? Read here: https://lnkd.in/dh46XFPE Markets evolve, but their biggest shifts often come from unexpected events—new technologies, financial crises, and regulatory battles. Case studies provide a deeper perspective on how trading strategies play out under real conditions, revealing both successes and failures. This selection of books covers: ?? Hedge Fund Strategies – Inside the minds of legendary traders and quant firms. ?? Market Failures & Crashes – Flash crashes, liquidity shocks, and systemic breakdowns. ?? Crypto & Decentralized Finance – The rise of digital assets and new financial models. ?? Regulation & Market Structure – How rules shape trading and execution strategies. #AlgorithmicTrading #QuantTrading #MarketStructure #FinancialMarkets #HFT #Crypto #DeFi #Trading #HedgeFunds #Finance

We are exploring the addition of RFQ capabilities to our OMS solution. Our clients will be acting as takers. Who would be a good fit for this? We are specifically looking for principals, not aggregators. If you're interested, let's connect! #cryptotrading #digitalassettrading #algotrading #fixprotocol #btc #rfq

?? 100 Books for Algorithmic Trading – Part 5: Portfolio Optimization & Risk Management ?? Read here: https://lnkd.in/dZduJhmt Risk and return define every investment decision, but how portfolios are structured determines long-term success. From classical mean-variance optimization to machine learning-driven risk forecasting, this selection of books explores strategies that traders and asset managers use to balance uncertainty and maximize performance. ?? Portfolio Construction – Asset allocation methods, diversification techniques, and factor-based investing. ?? Risk Forecasting – Volatility modeling, stress testing, and Bayesian methods for managing uncertainty. ?? Optimization Strategies – From Black-Litterman to Monte Carlo simulations, practical approaches to refining portfolios. ?? Advanced Quantitative Methods – How modern risk models adapt to changing market conditions. ?? Markets reward precision, not just predictions. Portfolio optimization isn’t just about choosing assets—it’s about structuring exposure, execution, and adaptability in volatile conditions. ?? What’s the most valuable lesson you’ve learned about risk management? #AlgorithmicTrading #QuantTrading #RiskManagement #PortfolioOptimization #AssetAllocation #Finance #Trading #FinancialMarkets #HedgeFunds #MachineLearning #Investment

?? Donald Trump has announced a U.S. Strategic Cryptocurrency Reserve, marking an unprecedented endorsement of digital assets at a national level. The reserve includes Bitcoin (BTC), Ethereum (ETH), XRP (Ripple), Solana (SOL), and Cardano (ADA)—assets that saw immediate price jumps following the announcement. ?? Bitcoin tops $90K, Ethereum up 8.3%, SOL and ADA follow suit. ?? Shift in policy – The move signals an alignment with crypto-friendly policies, contrasting with prior regulatory approaches. ?? Geopolitical implications – Could this preempt a broader financial strategy involving digital reserves? ?? Regulatory crossroads – What happens next with the SEC, CFTC, and U.S. Treasury? Our Take ?? Digital assets now have a seat at the table This isn’t just a policy stance—it legitimizes digital assets in a way that could influence both regulation and institutional adoption. If sustained, this move could change the way sovereign reserves interact with decentralized assets. ?? Institutional capital may react fast Political backing at this level puts pressure on major funds and asset managers to rethink their exposure. Market positioning will likely shift as investors weigh long-term adoption against regulatory uncertainty. ?? Regulatory complexity will increase This challenges the U.S. financial oversight model. Agencies like the SEC and CFTC must now define a framework that accommodates state-backed holdings, a significant deviation from their prior enforcement stance. ?? Crypto as an economic lever A digital reserve could mean positioning the U.S. to counterbalance CBDCs, international stablecoin initiatives, or sovereign digital holdings. The implications stretch beyond markets—this could shape global monetary policy discussions. Trump’s Crypto Summit is scheduled for Friday. Will this be a short-term play for market attention or the start of a new policy direction? #Crypto #Bitcoin #Ethereum #Solana #Cardano #Ripple #BTC #ETH #XRP #SOL #Trump #Blockchain #DigitalAssets #CryptoRegulation #Finance

?? New Article: 100 Books for Algorithmic Trading – Part 4: AI and Machine Learning in Trading ?? Read here: https://lnkd.in/eFgnyrgN Machine learning has reshaped trading, turning data into signals, automating execution, and redefining risk management. From deep learning to reinforcement learning, AI is changing how financial models are built and applied. This selection of books explores AI’s role in trading, covering: ?? Neural Networks & Deep Learning – The foundations of AI-driven financial models. ?? Quantitative Strategies – Statistical arbitrage, mean reversion, and high-frequency trading. ?? Risk & Portfolio Management – AI-powered asset allocation and risk mitigation techniques. ?? Market Simulation & Reinforcement Learning – Adaptive strategies that evolve with market conditions. Machine learning in trading isn’t just about prediction—it’s about building resilient, data-driven frameworks that perform in real-world conditions. ?? What AI techniques have had the biggest impact on your trading or research? #AlgorithmicTrading #AI #MachineLearning #QuantTrading #DeepLearning #NeuralNetworks #TradingStrategy #FinancialMarkets #SystematicTrading #QuantFinance #Crypto #HFT #AlgoTrading #DataScience #ArtificialIntelligence #RiskManagement #TradingTech

?? Ethereum Foundation Leadership Shakeup Vitalik Buterin has overhauled the Ethereum Foundation (EF) leadership after nearly a year of planning. As of February 25, 2025, Aya Miyaguchi moves from Executive Director to President, focusing on institutional ties, while the EF targets DApp support, censorship resistance, privacy, and decentralization. Buterin retains control, defending Miyaguchi amid community criticism. ?? Year-long process—Mix of done and ongoing changes ?? Goals—DApps, privacy, censorship resistance, decentralization ?? Miyaguchi’s new role—President, pushing institutional links ?? Community clash—Buterin rejects demands, calls out harassment Our Take 1?? Strategic shift, not a shuffle. Miyaguchi’s President role eyes institutional partnerships to boost Ethereum’s clout amid regulation and adoption hurdles. Buterin’s grip keeps it centralized, risking tension with Ethereum’s decentralized roots. 2?? Governance cracks showing. Critics hit Miyaguchi for Ethereum’s lag; others demand change. Buterin’s firm stance prioritizes stability over community input, needing better transparency to hold trust. 3?? Developers lead, rivals close in. Ethereum’s thousands of developers dwarf rivals, aligning with scalability goals. But Solana and Polkadot grow faster—Miyaguchi and Buterin must keep the edge. 4?? External stakes rise. State-backed hacks and regs loom. No lobbying keeps EF neutral but quiet; Miyaguchi’s alliances could help. It’s a survival move in a geopolitical game. The EF’s reset tackles a pivotal moment—community, competition, and global pressures will test its impact. #Crypto #Cryptocurrency #CryptoNews #Bitcoin #Ethereum #BTC #ETH #Blockchain #DigitalAssets #CryptoMarket #CryptoTrading #DataBreach #ExchangeSecurity #CryptoHacks #FinTech #Investing #Web3 #DeFi #RiskManagement #VitalikButerin #EthereumFoundation

?? New Article: 100 Books for Algorithmic Trading – Part 3: Coding and Tools for Trading ?? Read here: https://lnkd.in/dccJwzjd A trading model is only as good as its execution. Code efficiency, data handling, and system architecture determine how well a strategy performs in real-world conditions. The third part of our book series focuses on programming and tools for algorithmic trading, covering key topics essential for building, testing, and deploying trading systems. ?? Python, R, Java, and C++ – Programming languages used for financial modeling and automated trading. ?? Backtesting & Execution – Methods for evaluating strategies and optimizing live performance. ?? High-Frequency Trading & Low-Latency Systems – Techniques for improving speed and reducing slippage. ?? API Integrations & Data Pipelines – Connecting with exchanges, managing real-time data, and scaling infrastructure. A trader who understands the mechanics of their code gains a real edge—better execution means better results. ?? What coding tools or frameworks do you rely on for trading system development? #AlgorithmicTrading #QuantTrading #Python #Java #C++ #FinancialMarkets #HighFrequencyTrading #TradingTechnology #SystematicTrading #Crypto #HFT #TradingAlgorithms #QuantFinance #AlgoDevelopment #TradingBots #TradingStrategy

?? Bybit Closes $1.2B ETH Gap—A Lesson in Crisis Management Bybit has restored its reserves after losing $1.4 billion in ETH to a security breach. The exchange acquired 446,870 ETH (~$1.23B) through loans, whale deposits, and direct market purchases. A new Proof of Reserves (PoR) audit is on the way, aiming to confirm full asset backing. ?? $1.2B replenished—Loans, OTC buys, and institutional funding closed the gap ?? Market operations stable—Withdrawals and trading unaffected ?? PoR audit incoming—Bybit to verify 1:1 asset backing ?? Security remains a key concern—Massive capital movement highlights structural risks The Bigger Picture 1?? Liquidity access determines survival. Bybit’s ability to raise over $1.2 billion in a short period underscores how access to deep liquidity separates major exchanges from those at systemic risk. OTC purchases, institutional loans, and strategic partnerships ensured that Bybit could cover losses without halting operations. This level of capital mobilization isn’t available to every platform, making liquidity depth a key indicator of an exchange’s resilience. 2?? Proof of Reserves isn’t a solvency guarantee. A Merkle-tree-based audit will confirm reserves, but reserves alone don’t reveal the full financial health of an exchange. Liabilities, outstanding loans, and counterparty risks remain opaque in most PoR frameworks. Without a full balance sheet audit, reserve verification is only a partial measure of an exchange’s actual risk exposure. 3?? Bybit’s recovery sets a precedent, but also a concern. Raising billions in a short time stabilizes operations, but it also introduces new dependencies—on lenders, whales, and external capital markets. If a major liquidity provider faces stress, the entire system becomes vulnerable. The interconnectivity of crypto lending, trading, and market making means shocks can propagate beyond a single exchange. 4?? State-backed hacking isn’t just theft—it’s financial warfare. If the Lazarus Group is responsible, this isn’t just another exchange breach; it’s part of a larger geopolitical strategy. Stolen funds are laundered through mixers, cross-chain swaps, and sanctioned networks, fueling state-sponsored activities. Crypto’s role in international finance is evolving beyond trading and speculation—it’s now a contested economic battlefield where stolen assets fund real-world conflicts. Bybit’s response was swift, but the underlying risks that led to the breach haven’t disappeared. Security, liquidity, and systemic exposure remain the real fault lines of the crypto market. #Crypto #Cryptocurrency #CryptoNews #Bitcoin #Ethereum #BTC #ETH #Blockchain #DigitalAssets #CryptoMarket #CryptoTrading #CryptoSecurity #CyberSecurity #Hacking #CyberThreats #DataBreach #ExchangeSecurity #CryptoHacks #FinTech #Investing #Web3 #DeFi #RiskManagement #CryptoRegulation

?? Google’s Bitcoin Wallet Integration: The Trade-Offs At the Bitcoin Tech Carnival in Hong Kong, Google’s Web3 specialist for APAC, Kyle Song, revealed the company is working on Bitcoin wallet integration with Google accounts. This would allow users to access their wallets using Google authentication, lowering the entry barrier for Bitcoin adoption. ?? Mass adoption push – A familiar login method could bring more users into Bitcoin. ?? Security trade-offs – Google’s infrastructure might reduce the risks of phishing and poor key management but introduces new concerns. ?? Financial sovereignty risks – Relying on a centralized login provider goes against Bitcoin’s fundamental principles. Our take 1?? Shifting the risk, not eliminating it – Google authentication reduces user-side errors like lost keys or phishing attacks, but it also creates a single point of failure. 2?? Bitcoin was built for self-custody – Google’s model introduces an intermediary between users and their assets. Custodial solutions already exist for those who want convenience, but tying authentication to a Web2 giant alters the balance between usability and control. 3?? Big Tech creeping into crypto – With Google making a move, other major platforms may follow. If more people access Bitcoin through corporate infrastructure, decentralization shifts from a principle to a niche preference. Google’s push into Bitcoin wallets is a sign of growing institutional interest, but it also forces a reassessment of what security and control mean in crypto. #Crypto #Bitcoin #BTC #Blockchain #Google #CryptoNews #DigitalAssets #Web3 #CryptoTrading #Finance #FinTech #Investing #DeFi #Trading

?? Dubai-based exchange Bybit has suffered a staggering $1.5 billion hack, marking the biggest theft in crypto history. The breach occurred as funds were moved from Bybit’s cold wallet to a warm wallet, with attackers exploiting a vulnerability in the signing process. ?? 401,000 ETH stolen—worth approximately $1.5B at the time ?? Operations resumed—Bybit assures 1:1 backing for customer funds ?? Lazarus Group suspected—Blockchain forensics link the hack to the notorious North Korean group ?? Funds are on the move—Stolen assets are being shuffled between addresses, complicating recovery Our take 1?? Cold wallet security isn’t enough—transition risks are the real weak point. The narrative that “cold storage is safe” ignores how assets eventually move to hot wallets for operations. This breach wasn’t a direct attack on storage but on the process of moving funds, likely through a compromised signing mechanism. The real lesson? Securing key transitions is as important as securing the assets themselves. 2?? Exchanges have solvency, but what about systemic risk? Bybit maintains it can cover all client funds, but what happens when an attack of this scale hits a smaller exchange or triggers a wider liquidity crunch? The growing interconnectivity of centralized platforms means a single major incident could have cascading effects—especially with over-leveraged traders, market makers, and on-chain lending protocols tied to exchange reserves. 3?? Lazarus Group’s crypto war chest keeps growing. If North Korea’s hacking unit is responsible, this isn’t just another crypto heist—it’s a state-backed financial operation funding weapons programs and sanction evasion. With billions stolen over the past few years, crypto isn’t just an asset class; it’s now part of geopolitical cyber warfare. Regulators and intelligence agencies will likely intensify efforts to track and freeze illicit funds, but the real question is: how much of this crypto is already converted into usable capital? 4?? Tracking stolen crypto is getting harder, not easier. Blockchain analysis tools have improved, but so have obfuscation techniques. The days of hackers dumping funds on major exchanges are gone. Mixers, cross-chain bridges, and decentralized trading make tracing stolen assets a cat-and-mouse game. Expect more scrutiny on exchange security, calls for mandatory insurance, and discussions about whether centralized platforms need stricter wallet transition protocols. #Crypto #Cryptocurrency #CryptoNews #Bitcoin #Ethereum #BTC #ETH #Blockchain #DigitalAssets #CryptoMarket #CryptoTrading #CryptoSecurity #CyberSecurity #Hacking #CyberThreats #DataBreach #ExchangeSecurity #CryptoHacks #FinTech #Investing #Web3 #DeFi #RiskManagement #CryptoRegulation