Trading Strategies

Shares practical strategies, techniques, and risk management methods. By combining market case studies with technical analysis, it helps traders optimize decision-making and enhance profitability.

This New Generation of US Stock Trading Gods No Longer Read Financial Reports

The new generation of "stock gods" in the 2026 US AI bull market are not analyzing traditional financial reports. Instead of focusing on giants like NVIDIA, figures like the 22-year-old Leopold Aschenbrenner (who reportedly turned $200M into $14B) and influencers like Serenity on platforms like Reddit's WallStreetBets, X, and Substack are gaining fame and returns by targeting obscure, low-cap "micro-cap" stocks. Their strategy, dubbed "supply chain sniping," involves identifying critical, often monopolistic, bottlenecks in the AI hardware supply chain—such as specific materials or components essential for giants like Google and NVIDIA—that are missed by mainstream Wall Street analysts. Serenity's call on AXTI, a $700M company supplying indium phosphide substrates crucial for photonics and optical interconnects, saw the stock soar from ~$12 to nearly $150. Similarly, accounts like KawzInvests and PhotonCap focus on thematic, supply-chain-driven research in areas like AI infrastructure, optics, and cloud services for SMEs, bypassing traditional valuation metrics. This shift represents a cultural move away from Warren Buffett-style value investing based on deep financial statement analysis. The new approach thrives on low liquidity, early narratives, and strong community propagation on social media, similar to meme stocks or crypto. However, this "attention economy" strategy carries risks: it depends on sustained information gaps, the underlying companies' ability to deliver fundamental results, and the potential for crowded, volatile exits as narratives shift. The trend also shows crypto traders applying their narrative-sensing skills to US micro-caps, marking a significant evolution in trading culture.

marsbit05/27 11:55

This New Generation of US Stock Trading Gods No Longer Read Financial Reports

marsbit05/27 11:55

X Stock Market Investment & Trading: A 'Noise-Free' List of 50 Key Accounts

Titled "A 'Noise-Reduction' List of 50 Top US Stock Market Influencers on X," this article curates a selection of accounts for investors seeking quality information beyond follower counts. The list prioritizes accounts that have consistently discussed US stocks, ETFs, earnings, macroeconomics, options, and tech/AI/semiconductor topics over the past 90 days. Selection criteria focused on genuine informational value, stable analytical frameworks over mere news aggregation, and a clear relevance to US equity markets, with tighter filtering for crypto-heavy accounts. The final 50 accounts are categorized into three groups: - **Core US Stocks/Trading (31 accounts)**: Covering market trends, individual stocks, earnings, valuation, options, macroeconomics, and trading strategies. - **Tech/AI/Semiconductors (18 accounts)**: Focused on tech stocks, AI supply chains, semiconductor cycles, data centers, and cloud capital expenditure. - **News Source (1 account)**: Useful as a news radar, not for standalone decision-making. Presented alphabetically by handle, the list includes analysts, traders, and researchers such as @amy6tina (options/CFA), @dylan522p (semiconductors/AI infrastructure), @gerberkawasaki (tech stocks), @jimcramer (market commentary), and @tengyanai (semiconductors/AI trends). The article suggests using the list to: 1) complete one's information sources on US markets and specific sectors, 2) observe narrative linkages between AI, semiconductors, earnings, macro liquidity, and stock prices, and 3) "de-noise" and enhance the quality of one's X feed. It clarifies this is not investment advice or an endorsement, but a snapshot of content relevance and informational value for US equity investors.

marsbit05/27 00:08

X Stock Market Investment & Trading: A 'Noise-Free' List of 50 Key Accounts

marsbit05/27 00:08

To Those Ordinary People Who Haven't Invested in AI: You Think You're Late, You're Just Lacking Your Own Worldview

**Summary:** The article argues that ordinary investors feeling FOMO over missing the AI investment boom lack not timing, but their own independent worldview. Most people chase "what to buy" based on others' opinions (FOMO, envy) rather than fundamental analysis. This leads to costly mistakes: not knowing when to exit winning trades or cut losses on losing ones. The core solution is to develop a personal, long-term (5-10 year) worldview about societal shifts and technological bottlenecks. For most, building this from scratch (Path A) is too demanding. A practical alternative (Path B) is to follow the **capital expenditures (capex)** and strategic investments of visionary leaders, as their money reveals true conviction more reliably than their words. Five key figures to track for different AI perspectives are highlighted: Jensen Huang (NVIDIA, infrastructure), Elon Musk (Tesla/SpaceX/xAI, capex signals), Sam Altman (OpenAI, commercialization, but beware hype), Dario Amodei (Anthropic, technical/safety focus), and Liang Wenfeng (DeepSeek, efficiency/anti-consensus view). The article details how to read capex signals from hyperscalers' financial reports, NVIDIA's revenue breakdown, and strategic investments. It maps the complete AI产业链 (supply chain) from raw materials/energy to models/applications, explaining value flow and inter-dependencies (e.g., how a model release triggers demand across chips, memory, and optics). Finally, it provides an action plan: secure personal finances first, allocate a limited portfolio percentage (max 25%) to the theme, prefer broad ETFs (like QQQ), use dollar-cost averaging over 6-12 months, and write down strict investment rules beforehand to combat emotional errors during market volatility. The conclusion is that a stable, personally-held worldview enables disciplined, long-term investment far more than chasing short-term trends.

marsbit05/26 09:10

To Those Ordinary People Who Haven't Invested in AI: You Think You're Late, You're Just Lacking Your Own Worldview

marsbit05/26 09:10

BTC Thrice Rejected at $80,000 Threshold, HYPE Reaches New Highs Signaling Opportunity | Guest Analysis

**Bitcoin (BTC) Struggles at $80k; HYPE Reaches New Highs | Key Analysis & Strategy** Bitcoin faces continued resistance in the $78.5k - $79.5k zone after failing to sustain a break above its daily chart rising channel. It has retreated to the channel's midline. A failure to hold here could see a test of the $73.5k - $75k support area. The 4-hour chart shows a complex corrective structure. The strategy is neutral for mid-term positions. For short-term trading, two scenarios are outlined: **A)** Selling on a failed rally into the $78.5k-$79.5k resistance, and **B)** Selling on a confirmed breakdown below the $73.5k-$75k support, both with tight risk management. Meanwhile, **HYPE** has posted consecutive highs. The 4-hour chart indicates its current uptrend may be weakening near $65, with models showing potential bearish divergence. The view is that a short-term top could be forming. The strategy advises against chasing the rally and instead looking for a potential long entry on a pullback to the $47.5 - $50 support zone, provided clear reversal signals appear. Last week, a disciplined short BTC trade based on model signals yielded a 2.78% profit. The article emphasizes that all analysis is for informational purposes only and not investment advice, highlighting the importance of strict stop-loss discipline and dynamic position management in a volatile market. *(Note: The text references proprietary models like the "Price Difference Trading Model" and "Momentum Quantification Model" for generating trade signals.)*

marsbit05/26 04:49

BTC Thrice Rejected at $80,000 Threshold, HYPE Reaches New Highs Signaling Opportunity | Guest Analysis

marsbit05/26 04:49

BTC Faces Triple Resistance at $80,000 Milestone, HYPE Hits New Highs Signaling Potential | Invited Analysis

This weekly analysis maintains a structured framework, focusing on Bitcoin (BTC) and HYPE, dissecting their multi-timeframe price action to identify key support and resistance zones and formulate actionable trading plans. The previous week's short position on BTC yielded a 2.78% gain, reinforcing the "signal-driven, disciplined" approach. For Bitcoin, the core scenario revolves around the battle between the 78,500–79,500 USD resistance zone and the 73,500–75,000 USD support area. The daily chart shows BTC within a rising channel; a failure to hold support at the channel's midline could lead to a test of the lower boundary. The 4-hour chart details an 8-segment corrective structure from the 82,850 USD high. Two short-term strategies are proposed: (A) Selling on a failed rally into the 78.5k-79.5k zone, with a stop above 80,600, or (B) Selling a confirmed breakdown below the 73.5k-75k support, with a stop above 76,500. Medium-term positioning remains neutral. For HYPE, the 4-hour chart indicates a five-wave advance from the May 14th low, now showing potential exhaustion and a top warning signal near 65 USD. The core view is to watch for a potential short-term peak formation. The recommended strategy is to avoid chasing the rally and instead look for a long setup upon a pullback to the 47.5–50 USD support zone, provided clear stabilization and model confirmation signals appear. The report concludes with a detailed review of the prior BTC short trade, executed based on model signals and candlestick patterns, and reiterates strict risk management rules, including immediate stop-loss placement and trailing stops to protect profits. All analysis is presented as a personal trading log, not investment advice.

Odaily星球日报05/26 04:34

BTC Faces Triple Resistance at $80,000 Milestone, HYPE Hits New Highs Signaling Potential | Invited Analysis

Odaily星球日报05/26 04:34

US Stock Market Signal Master Serenity: Leading Institutions in Low Position Building, Annual Return 3840%

Serenity, an anonymous online trading figure known as the "Stock Call King," has gained significant attention by reportedly achieving staggering annual returns of 3840% in 2026 and 2256% over two years. Operating primarily on social media platform X, he shares free investment insights focused on the AI and semiconductor supply chains. His core strategy, the "Chokepoint" investment theory, involves identifying small, critical "bottleneck" companies within the AI infrastructure that are essential yet undervalued before major institutional investment. Examples include his multi-year call on stock AXTI, which saw gains exceeding 10,000%. Despite his popularity, Serenity's true identity and the specific dollar amounts behind his percentage gains remain undisclosed, leading to some skepticism. Critics question if he manipulates low-market-cap stocks, while supporters see him as disrupting traditional finance by providing free, high-quality research. He advocates against paid communities and emphasizes that his goal is to empower retail investors with information before institutional players act. Whether Serenity represents a genuine market visionary or a sophisticated narrative-driven player remains an open question debated by his followers and observers.

marsbit05/26 03:03

US Stock Market Signal Master Serenity: Leading Institutions in Low Position Building, Annual Return 3840%

marsbit05/26 03:03

The 'Stock Call King' Serenity: 3840% Annual Return, Beating Institutions to the Punch

This article profiles the mysterious stock trader and analyst known as Serenity, who has gained significant influence on social media platform X as a "stock call king." Serenity claims extraordinary annual returns of 3840% for the current year and 2256% over the past two years, primarily by focusing on overlooked companies within the AI and semiconductor supply chains. Operating anonymously, Serenity describes himself as a former Reddit WallStreetBets trader, an AI/semiconductor supply chain analyst, and a former AI research scientist. His core investment strategy, termed the "Chokepoint" theory, involves identifying small, critical bottleneck companies in the AI infrastructure ecosystem—such as those in photonics, substrates, and materials—that are essential yet undervalued. He argues these "invisible champions" become crucial as demand for AI hardware surges, creating significant investment opportunities before large institutions take notice. A frequently cited example is stock AXTI, which he has recommended for over two years and claims has yielded over 10,000% returns. The article notes that while Serenity's free, public posts on X have garnered a large following, his identity and exact portfolio size remain unverified, leading to some skepticism. Critics question if his reported returns are fabricated or if he might be manipulating prices of low-market-cap stocks. Serenity counters that he shares research freely to democratize information, allowing retail investors to benefit before institutional buy-ins, and that percentage returns are more meaningful than disclosing specific dollar amounts. Ultimately, the article presents Serenity as a polarizing figure—either a visionary analyst with a superior research framework or a potentially sophisticated market player. It concludes that the truth of his claims and legacy will only be determined by time.

Odaily星球日报05/26 03:00

The 'Stock Call King' Serenity: 3840% Annual Return, Beating Institutions to the Punch

Odaily星球日报05/26 03:00

I Tested with $10,000: Zero Wear, 8% APY, and Earn Points (Full Tutorial + Screenshots Included)

**Title:** My $10,000 Real-World Test: Zero Wear-and-Tear, ~8% APY, Plus Earning Points (Full Guide + Screenshots Included) **Summary:** This article details a personal experiment with $10,000 on the StandX platform to verify its advertised ~8% APY for its stablecoin, DUSD, while earning trading points. The author created two accounts, each depositing $5,000 worth of DUSD, and used StandX's unique "Block Trade" feature to open perfectly offsetting long and short BTC positions (2x leverage each). This neutralized directional market risk. **Key Results (Over 8 Days):** * **Total Profit:** $16.91 (~7.8% annualized). * **Zero Net Directional P&L:** BTC price movements canceled out. * **Zero Wear-and-Tear:** No losses from fees, slippage, or gas from frequent trading. * **Points Earned:** 380+ trading points. **Source of the ~8.46% APY:** The yield is composed of three layers, all paid in DUSD (real USD value, not governance tokens): 1. **DUSD Base (~1.27%):** Derived from funding rates (similar to Ethena's USDe). 2. **SIP-2 Position Boost (~2.27%):** A protocol revenue-sharing mechanism. Users providing liquidity (via open positions) earn a share of platform trading fees. Leverage acts as a multiplier on this yield. 3. **SIP-3 Universal Fee Share (~4.92%):** A portion of all platform trading fees is distributed to *every* DUSD holder, regardless of whether they trade. **Sustainability Claim:** The author argues this yield is more sustainable than pure funding-rate models (e.g., Ethena) because over 7% of it comes from transaction fees (SIP-2 + SIP-3), which are less dependent on market cycles. **Step-by-Step Strategy:** A concise 3-step guide is provided for replicating the zero-risk strategy using two wallets and StandX's Block Trade to create matched long/short positions. **Risk Disclosures:** The article notes standard DeFi risks: smart contract vulnerability and yield fluctuation (Base yield varies with funding rates; SIP-2/3 yields depend on platform trading volume). **Author's Note:** The author discloses their role in Growth at StandX. The piece is presented as personal testing and analysis, not investment advice.

链捕手05/22 09:41

I Tested with $10,000: Zero Wear, 8% APY, and Earn Points (Full Tutorial + Screenshots Included)

链捕手05/22 09:41

How to Quickly Get Started in the Base Ecosystem?

The Base ecosystem is booming. For newcomers, learning how to quickly get up to speed is key. This guide suggests using advanced features of on-chain trading terminals like GMGN to efficiently understand the ecosystem. Start by checking the top profit addresses on Base via GMGN's "Explore" function. Analyzing the recent profitable trades of these addresses reveals current trends. For example, one top address made significant profits from the meme coin $TSG. Investigate such tokens by visiting their social pages to understand the narrative—$TSG gained traction due to influencers promoting a specific slogan. Follow these influencers and use GMGN's monitoring tools to track their activity and set alerts for key terms, preparing for potential second-wave opportunities. Another profitable address held $LFI long-term. Research such projects on sites like BlockBeats to grasp deeper narratives, such as RWA or AI themes like "vvv" and $aeon on Base. The process can also be reversed: use platforms like DexScreener to see top-traded Base tokens, then analyze them via GMGN. The ultimate goals are to identify the chain's main narratives, build a database of profitable addresses and influencers for ongoing tracking, and anticipate key turning points for tokens. Leveraging these tools helps newcomers navigate Base efficiently without wasting time browsing social media aimlessly.

marsbit05/22 02:18

How to Quickly Get Started in the Base Ecosystem?

marsbit05/22 02:18

Data: 75% of Traders on Hyperliquid Are Losing Money. What Are the Profitable Ones Using?

On Hyperliquid, approximately 75% of addresses are losing money, indicating that manual traders are increasingly competing against automated systems. Profitable traders primarily employ one of three approaches: 1) Running systematic, high-frequency strategies (e.g., one address executed 261k trades with a 64.75% win rate), 2) Placing high-conviction, asymmetric bets with large positions (e.g., 50 trades yielding $4.48M at a 28% win rate), or 3) Using algorithms for execution while making manual macro judgments. The article argues that traditional methods like chart patterns or reacting to social media news are often already priced in by bots, making such traders the "exit liquidity" for systematic players. Success now depends on unique narrative timing, structural insights, or conviction during market capitulation.

marsbit05/20 07:49

Data: 75% of Traders on Hyperliquid Are Losing Money. What Are the Profitable Ones Using?