A strong opening to the year, and a very telling one. Market context Nasdaq Composite +1.3% and S&P 500 +0.6% signalled immediate risk-on sentiment. Semiconductors led decisively. ASML and Micron Technology pushed to all-time highs, while NVIDIA and Broadcom extended their leadership. Which stock hit a new high If I frame this from a portfolio construction perspective rather than personal holdings, ASML is the clearest example of a name that rewarded patience. Its new high reflects not momentum chasing, but structural scarcity in advanced chip manufacturing. That distinction matters. New highs driven by earnings visibility tend to persist longer than those driven purely by sentiment. Do I believe in the January effect I believe in flows, not folklore. January strength often reflects: P
$Tiger Brokers(TIGR)$ The trade that taught me the most in 2025 was not the one with the highest return, but the one where conviction was tested by volatility. The key lesson was that being early feels the same as being wrong. Strong themes such as AI infrastructure and gold only paid off when position sizing and time horizon matched the thesis. Trades driven by narrative but lacking patience were the ones most likely to fail. My review of 2025 performance centres on process rather than outcome. The year reinforced three principles: Macro shocks matter less than liquidity and earnings delivery. Concentration works only when downside risk is clearly defined. Missing a move is cheaper than forcing a bad entry. Overall, 2025 was a year of sharpening
$Tiger Brokers(TIGR)$ One indicator is never enough. Context matters more than signals. Many traders misuse technical indicators by treating them as buy or sell buttons. In reality, indicators are best understood as questions, not answers. For example: Momentum indicators such as RSI tell you how stretched a move is, not when it will reverse. Trend indicators such as moving averages help you identify direction, but lag during fast transitions. Volatility tools like Bollinger Bands describe expansion and contraction, not guaranteed breakouts. The most effective approach is confluence: Use trend to define bias. Momentum to assess strength. Volume or volatility to manage risk and timing. If indicators disagree, stay patient. When they align, s
1. What is driving the recent Baidu share surge? Baidu’s stock has rallied sharply in late 2025 and early 2026, driven principally by market reaction to its artificial intelligence (AI) strategy and corporate actions: • The company filed a confidential listing application for its AI chip unit Kunlunxin with the Hong Kong Stock Exchange. This announcement sparked renewed investor interest as the potential spin-off could unlock value in what investors see as a high-growth segment. • The broader Chinese tech sector, especially AI and semiconductor names, experienced strong gains at the start of 2026 following a series of high-profile IPOs and heightened demand for domestic AI capabilities. • Analyst activity has been mixed but includes upgrades and increased target prices from som
$Tiger Brokers(TIGR)$ A useful technical insight is to treat indicators as tools for context, not prediction. Trend indicators such as moving averages help define market direction and regime, momentum indicators like RSI and MACD highlight the strength and sustainability of moves, while volume and volatility tools provide clues about conviction and risk. The most common mistake is using indicators in isolation. Signals work best when they align. For example, a pullback into a rising moving average with stabilising RSI and contracting volatility often offers a higher-quality entry than a standalone oversold reading. Equally important is knowing when not to trade. When indicators conflict or markets turn range-bound, patience becomes a position. Ul
With CES opening the year, the key signal investors are watching is not technological ambition, but commercial clarity. Nvidia and AMD will likely reinforce the data-centre AI story, which remains the most defensible and revenue-visible segment, while framing physical AI, edge computing and on-device inference as the next layers of growth rather than immediate profit drivers. The critical test lies in consumer AI. After uneven adoption of earlier AI-branded devices, the market will scrutinise whether new hardware delivers clear, repeatable use cases that justify upgrades, not just higher specifications. A credible consumer AI narrative will require demonstrable productivity gains, seamless software integration and realistic power efficiency, rather than conceptual demos. In short, CES 2026
1. One-sentence summary of 2025 investing 2025 was a year where structural growth rewarded patience, while political noise punished overreaction. 2. Investment goal for 2026 To compound capital steadily by concentrating on durable earnings growth in AI-linked leaders, maintaining disciplined risk management, and keeping optionality through selective macro hedges rather than chasing short-term momentum.
$Tiger Brokers(TIGR)$ What trade taught me the most in 2025 The most instructive trade was staying invested in quality AI infrastructure names despite repeated macro scares. Tariff headlines, rate volatility and valuation anxiety created frequent pullbacks, yet fundamentals around compute demand, data centre utilisation and software monetisation continued to compound. The lesson was clear: when a structural cycle is intact, risk management matters more than perfect timing, and exiting too early can be more costly than enduring volatility. How I review my 2025 performance I would assess 2025 as a year of disciplined participation rather than aggressive optimisation. Returns were driven by thematic conviction in AI, selective exposure to megacaps,
If I had to focus on three key sectors for 2026, they would be: 1. AI hardware and infrastructure This remains the core of the cycle. Demand is shifting from training to sustained utilisation, inference, memory, optics, power management, and EDA. Valuations matter, but earnings visibility supports this theme. 2. Application software with real AI monetisation 2026 is more about re-rating than growth acceleration. Winners will be sticky enterprise platforms embedding AI agents into workflows with clear pricing power and cash flow discipline. 3. Robotics and embodied AI (selective exposure) High potential but volatile. Near-term moves are sentiment-driven, while consolidation favours full-stack players with scale, data, and capital strength. Is the Mag 7 still a pick? Yes, but selectively. I
$Tiger Brokers(TIGR)$ A few practical technical analysis insights that consistently hold up across market cycles: 1. Price leads indicators Indicators are derivatives of price. Always anchor analysis to structure first: trend, support and resistance, and market context. Indicators should confirm, not dictate. 2. Trend strength matters more than signals In strong trends, overbought or oversold readings can persist. Momentum tools like RSI or MACD work best when interpreted alongside trend direction, not in isolation. 3. Volume validates conviction Breakouts without volume are prone to failure. Rising volume during trend continuation signals institutional participation and improves probability. 4. Timeframe alignment reduces noise Conflicting signa