Amberdata

Amberdata Market Data Now Available for Online Purchase! Get institutional-grade crypto data fast with our easy online checkout! 🎯 What’s Inside: - Customizable Spot, Futures, & Options data packages (monthly or yearly). - Delivered via RESTful API or WebSockets for seamless integration. - Optional Bulk Data Delivery via AWS S3 💳 Now Available Online: Select your data, pay with your credit card, and start accessing real-time and historical data! Track prices, trades, and order books with ease—all at your fingertips. 👉 Ready to get started? Visit our website and purchase your data package today: https://lnkd.in/guhjFxRK

The Key to Success in Trading 🔑 → Greg Magadini, CFA, Director of Derivatives at Amberdata, featured on the Crypto Options Unplugged Deribit Podcast hosted by David Brickell & Imran Lakha! Watch the full episode here alongside Guy Young at Ethena Labs & Joshua Lim at FalconX: https://lnkd.in/gVYi6Qq3

Strikes are coming in 🚶 Options traders are eyeing the $100k level for BTC and the $2k level for ETH. Check out Amberdata Derivatives for FREE here. https://lnkd.in/gAwWyk5E

Volatility cones are a powerful tool for traders to assess the current market volatility relative to historical norms using percentile-based data (e.g., p25, p50, p75) from realized volatility. Amberdata’s Volatility Cones endpoint delivers these insights for trading pairs like BTC/USD, enabling traders to identify whether the market is relatively calm or volatile. 🔸 By comparing current volatility against historical benchmarks, traders can determine if options are under- or overvalued and adjust strategies accordingly, such as buying options in low-volatility environments or selling when volatility is high. This data-driven approach enhances risk management and strategic decision-making. Learn more about future volatility ranges with Amberdata. https://hubs.la/Q03h_dX10

In need of a new crypto data solution? Whether you're analysts, traders, compliance officers, or risk managers, spotting the need for better crypto data isn't always straightforward. Here are signs you might need an upgrade: 📉 Inconsistent Performance: Struggling with underperformance and missed arbitrage? Lack of insight into market dynamics could be the culprit. Consider a data solution with robust historical price data for better strategy backtesting and arbitrage execution. 🔒 Compliance Concerns: The crypto world's anonymity makes compliance tough. If keeping up with digital asset regulations is a challenge, it's time to reassess your data sources. 💸 Inefficient Resource Allocation: Tired of juggling multiple data sources? An aggregated crypto data solution can streamline your process, saving time and resources. 🔍 Addressing Data Gaps: Noticed signs you need a change? Assess your current data for relevance and coverage, then consider partnering with a data aggregation solution for comprehensive coverage, risk management, and market edge. Stay ahead in the crypto market by ensuring your data solutions meet your team's needs. Learn more about our data solutions. https://lnkd.in/gZqvyuZA

Imran Lakha at Options Insight: Short Gamma Still Risky 🍰 The crypto market is holding steady despite heightened macro uncertainty, with Bitcoin showing relative strength and trading near key resistance levels. Ethereum continues to lag, lacking a strong narrative to drive outperformance. Volatility is cooling off, but skew and term structure suggest the market remains cautiously optimistic. Overall, structural signals—especially in Bitcoin—point to an ongoing bullish regime, though near-term caution is still warranted. Learn more about the findings in the crypto options market. https://hubs.la/Q03hWmGw0

If You Missed This Week's Digital Asset Snapshot: Volatility, Rebounds, and Some Serious Shake-Ups 🫨 Crypto markets faced sharp volatility this week as new U.S. tariffs triggered a global risk-off response, but cooler inflation data and strong jobs numbers helped stabilize sentiment. Bitcoin and major altcoins like Ethereum and Solana dipped sharply, then rebounded, reflecting a tug-of-war between macro anxiety and rate-cut optimism. Institutional flows into ETFs showed signs of fatigue and caution, with on-chain metrics and leverage data pointing to fragile sentiment. Meanwhile, the $OM token crash and El Salvador’s Bitcoin rollback increased the market’s uncertainty. Here's a breakdown of the Digital Asset Snapshot 👇 → Markets were rocked by surprise U.S. tariffs, sending Treasury yields soaring and sparking a risk-asset selloff. → Relief came fast: cooler CPI data and strong jobs numbers revived hopes of Fed rate cuts. → Bitcoin dipped to ~$74.5K but bounced back above $82K. ETH & SOL followed similar recovery paths. → Institutional ETF flows? Not so optimistic. Inflows are cooling fast, especially from giants like BlackRock & Grayscale. → Traders are playing defense—leverage is down, funding rates are choppy, and long/short ratios are cautious. → Meanwhile, Mantra’s $OM token lost 87% of its value in one hour, wiping out $6B. Speculation of a rug pull is swirling. → El Salvador’s BTC experiment may be unraveling—only 11% of registered crypto firms are still active. A rollback law could hit April 30. → Trading volumes are rebounding from March lows, but miners still show signs of strain. The Capitulation Index is ticking up. → Bottom line: Sentiment is shaky. Crypto is caught between macro fear and hopes for rate cuts. Watch ETF flows and miner behavior for clues. Stay cautious, stay informed. Markets are searching for direction—and it’s not clear yet where they’ll land. Read the full snapshot in the first comment.

We're Less Than a Month Away From Consensus 2025 in Toronto 🇨🇦 🗓️ May 14-16, 2025 For 20% Off Passes Use Code: Amberdata20 CoinDesk's premier event brings together blockchain, Web3, and AI leaders to drive innovation through global collaboration, hosted in Toronto's thriving tech and financial hub. Learn more about the agenda & speakers attending: https://lnkd.in/dgP7WxnQ

How Do On-Chain Metrics Explain Bitcoin Volatility? Part 2 🔻 This follow-up to “How Do On-Chain Metrics Explain Bitcoin Volatility?” dives deeper into the behavioral signals behind Bitcoin's wild price swings. By analyzing 42 statistically extreme “shock days” across bull and bear markets, the report uncovers how miners, traders, and institutions behave before, during, and after volatility spikes. Using four analytical lenses—lead-lag signals, pre-shock extremes, mean shifts, and post-shock persistence—Amberdata offers a predictive framework for anticipating price turbulence and identifying strategic opportunities in both uptrends and downturns. 🚨 Volatility isn't random. In our latest deep-dive, we dissect Bitcoin shock days—extreme price moves—and how key on-chain metrics predict, reflect, and respond to them. 📊 What’s a shock day? We define it as when Bitcoin’s Absolute Daily Return (ADR) exceeds 2 SDs above its historical average. We isolate 21 shock days each for: 📈 Bull phase (Oct 2023–Dec 2024) 📉 Bear phase (Nov 2021–Nov 2022) 🔍 The goal? To understand how different market players (miners, institutions, traders) react before, during, and after these volatility spikes. We used 4 key methods: 🔺 Lead-Lag Analysis 🔺 Pre-Shock Extremes 🔺 Mean Shift 🔺 Post-Shock Persistence 🧠 Lead-Lag Analysis: In bear markets, short-term UTXO metrics gave up to 11-day advance signals. In bulls, signals were more mixed, with 1w–1m UTXOs and exchange volume as top indicators. ⚠️ Pre-Shock Extremes: Before shock days, we saw: 📈 Bull: Surge in exchange volume + profit-taking 📉 Bear: Liquidity vanishing + short-term holder panic These metrics often breached the 90th/10th percentiles = RED FLAGS. 💥 Mean Shift Analysis: What happens after a shock? Bull: Spike in realized cap, high liquidity flows 🚀 Bear: Massive miner liquidations, shrinking address activity 📉 Behavior shifts were dramatic, and fast. 🧭 Post-Shock Persistence: Are these changes sticky? Bulls: 1w–1m UTXOs and new address growth remained strong Bears: ETF flows stayed elevated for 11+ days, signaling institutional defense or repositioning 🔑 TL;DR: Volatility isn’t just price noise. It’s the result of complex, measurable behavioral shifts. By monitoring the right on-chain metrics, you can gain a serious edge in anticipating extreme moves. Read the full report in the first comment ⬇️

How Crypto Market Data Informs Crypto Short Selling Strategies Crypto market data plays a vital role in short-selling strategies. Real-time data helps identify market sentiment, manage risk, and avoid potential pitfalls. 🧮 Short interest is a crucial data point for short sellers. It represents the total number of crypto sold short but not yet covered. High short interest indicates agreement on price decline, but it also raises the risk of a short squeeze. Accurate data helps assess market sentiment. ↕️ The long/short ratio is another valuable indicator for short sellers. It measures the total amount of crypto available for short selling versus the amount actually borrowed and sold. This ratio provides insights into investor sentiment and the market's bearishness. 📊 Trading volume data, such as volume, market depth and order book data helps short sellers evaluate liquidity. Accurate data assists in assessing market conditions and determining optimal entry and exit points for short positions. 🚀 Short selling strategies benefit from technical analysis indicators. Moving averages, support/resistance levels, trend lines, and oscillators help identify entry and exit points. Crypto market data empowers short sellers with the insights they need to make informed decisions. Read more about the advanced data needed for crypto trading strategies here: https://lnkd.in/gEnnHz_Z