Ybaser

#我的2026第一条帖
Entering 2026 with a clear focus: Utility over Hype. > After the 2025 consolidation, I'm betting big on the DePIN + AI narrative. If AI agents are the future of commerce, DePIN is the fuel they run on. Also keeping a close watch on RWA 2.0—tokenized private credit is where the real institutional volume is flowing.
My goal for 2026 on @Gate_io?

1️⃣ Deepen my position in AI-infrastructure tokens.
2️⃣ Explore new RWA-backed yield products.
3️⃣ Secure that Red Bull F1 merch! 🏎️💨
Let's make 2026 the year of smart growth. What’s your #Web3 alpha for the year? 🧵👇
The market is no longer just asking "What's the price?" but "What's the use case?"
💎 The 2026 Alpha Stack
DeFAI (Decentralized AI Finance): This is the biggest narrative of 2026. We’ve moved beyond simple bots to Autonomous Agentic Chains. These are AI agents that have their own on-chain wallets and execute complex DeFi strategies (yield farming, arbitrage, risk management) without human intervention.
Watch for protocols providing "GPU-backed yields" via DePIN.
2026 is the year stablecoins hit a $1 Trillion market cap. We are seeing the rise of dedicated "stablechains" designed specifically for sub-second, zero-fee global payments.
The "yield-bearing stablecoin" is the new savings account.
RWA 2.0 (Origination over Tokenization): In 2025, we tokenized existing assets. In 2026, we are originating them. Real-world private credit and "Green Bonds" (decentralized energy grids) are being born directly on-chain.
Emerging markets are "leapfrogging" traditional banks by using RWA protocols for local business lending.
High-dexterity humanoid robots are hitting homes this year. The alpha here is XMAQUINA and similar DePIN projects that allow you to "stake" in the productivity of these robot fleets.
2026 isn't about chasing green candles; it's about owning the infrastructure. My Web3 alpha for this year:
1️⃣ The Agentic Economy: I’m shifting focus to DeFAI. If your portfolio isn’t being optimized by an autonomous AI agent yet, you’re trading in 2021.
2️⃣ RWA Origination: Moving beyond just tokenized T-bills. I’m looking at decentralized energy grids and private credit. On-chain yield is officially more stable than TradFi.
3️⃣DePIN-Robotics: Staking in the compute power that runs the new wave of domestic assistants. 🏠🤖
Goal for 2026: Less manual trading, more strategic positioning in the protocols that power the global financial rail.

#Gate广场创作者新春激励 Understanding U.S. Non-Farm Payroll Data: Why Does It Influence Bitcoin's Price Movements?
On the night of the monthly non-farm payrolls release, global digital currency investors focus on these two figures, as if they hold an invisible lever to move the market.
    "U.S. Non-Farm Employment Data" and "Unemployment Rate" are the most closely watched indicators in global capital markets at the beginning of each month. On the surface, these two data points merely reflect the employment situation in the U.S., but in reality, they can trigger intense fluctuations across global stock markets, forex markets, bond markets, and digital currency markets.
    Why does employment data from across the ocean affect Bitcoin's price?
There is a clear transmission chain behind this: Employment Data → Federal Reserve Policy Expectations → U.S. Dollar Global Flows → Risk Asset Prices. Understanding this chain can help investors better grasp market trends.
01 Core Indicators, a Double Act of Economic Thermometer and Blood Pressure Monitor   The U.S. non-farm payrolls refer to the total number of new jobs added in the U.S. non-agricultural sector each month. You can imagine the entire U.S. economy as a giant company, and this number is equivalent to the number of new employees hired each month.
    The more people the company hires, the more it indicates business expansion and confidence in the future; conversely, fewer hires may signal contraction. This is the most direct "thermometer" for measuring economic health.
    The unemployment rate measures the proportion of people wanting to work but unable to find jobs in the labor market. It is the economy's "blood pressure monitor," reflecting resource utilization efficiency and social stability. Usually, these two indicators move in sync: when the economy is good, employment increases, and unemployment decreases.
    However, short-term divergences can occur, such as during early economic recovery, when more people re-enter the job market, causing the unemployment rate to temporarily rise.
02 Transmission Hub, the Federal Reserve's Policy Balance   As the central bank of the U.S., the Federal Reserve bears two core tasks: stabilizing prices and achieving maximum employment. Non-farm payrolls and unemployment rate data are primary indicators for assessing the progress of the "maximum employment" goal.
    When non-farm payrolls remain strong and the unemployment rate is at historic lows, the Fed worries about the economy overheating. Everyone has a job, wages are rising, and consumption is vigorous, which can push prices higher and trigger inflation.
    At this point, the Fed tends to step on the "brake" — raising interest rates to cool the economy.
    Conversely, when non-farm payrolls weaken and unemployment rises sharply, the Fed fears recession. Companies stop hiring, people hesitate to spend, and economic vitality declines. The Fed then steps on the "accelerator" — lowering interest rates to stimulate investment and consumption.
    The Fed's decisions depend entirely on the "temperature" of economic data. This monthly "health report" determines the direction and intensity of monetary policy.
03 Global Flows, the Tides of the U.S. Dollar   The Fed's interest rate decisions have a global impact because the U.S. dollar is the world's primary reserve and trading currency. To understand this mechanism, imagine the dollar as an "employee" working worldwide.
    When the Fed raises interest rates, it means the "employee" dollar can earn higher "wages" (interest income) in the U.S. This causes dollars spread across the world to "go home."
    Global investors will sell assets in other countries, including stocks and bonds in emerging markets, as well as risk assets like Bitcoin, converting funds back into dollars and flowing back to the U.S.
    This process results in two outcomes: the appreciation of the dollar and a "blood loss" in global risk asset markets.
    When the Fed cuts interest rates, the opposite occurs. The "employee" dollar finds lower returns in the U.S. and will seek higher yields elsewhere, providing "blood transfusions" to global risk assets, which often leads to rising prices.
04 Expectations Game, the Battle of Data and Consensus   Market trading involves not just the data itself, but also the gap between "expectation" and "reality." Before the data is released, the market has already formed a consensus and reflects this expectation in prices.
    If the actual data matches expectations perfectly, the market usually reacts calmly because there is no new information. If the data exceeds expectations, even if it is "acceptable" on its own, the failure to meet the market's already-digested pessimistic outlook can cause asset prices to fall.
    This phenomenon is called "good news is exhausted" or "bad news is exhausted." Due to Bitcoin's high leverage and 24-hour trading, this expectation gap effect is amplified, often resulting in sharp, two-way price swings immediately after data release, known as "spike" movements.
    After each non-farm payroll release, the steep peaks and valleys on Bitcoin price charts silently tell the story of rapid global capital reallocation. Traders watch the screens intently, their fingers hovering over buy and sell buttons, making decisions based on data interpretation and market psychology.
    In the Fed's conference room, officials scrutinize these employment figures, knowing that their next move will influence the gains and losses of a digital currency trader somewhere far away.
    In this market maze woven from data and expectations, understanding the rules is more important than predicting the direction.