Your one-stop hub for crypto learning and trading education.

Explore Bitcoin, Ethereum, and more at CoinW Academy, where our courses cover blockchain basics and advanced trading techniques.

Optical Modules: The “Data Couriers” of the AI Era

2026 Optical Module Industry Chain Deep Dive: "Data Couriers" Under the AI Computing Race. A comprehensive analysis of the 800G/1.6T market breakout logic and CPO technology evolution, interpreting the competitive landscape of six core stocks including Marvell (MRVL), Lumentum (LITE), and Coherent (COHR). Combined with Serenity's "Bottleneck Theory" to gain insights into supply-demand gaps and upstream optical chip positioning, seizing the opportunities of structural industry transformation.

2026-07-1412m

From "Shiso Leaf" to 45‑Fold Myth: Decrypting the Alternative Investment Philosophy of Serenity

In May 2026, the anonymous account "Serenity" posted a 4502.45% annual return, earning the title "White‑Haired Stock God" and rapidly surpassing 750,000 followers on X. His core investment philosophy can be summarised as the "Shiso Leaf" theory and the "Chokepoint" theory – not chasing giants, but deeply cultivating irreplaceable "bottleneck" links in the industry chain, using public information to uncover undervalued assets. His holdings are concentrated in global small‑ to mid‑cap tech stocks in photonics, semiconductor substrates, and power semiconductors. CoinW has listed AI‑theme tokens such as TAO, RENDER, and FET, but no token exclusive to him. Risks to note include his unverified identity, post‑surge pullbacks, and high volatility in crypto assets.

2026-06-246m

Analysis of the U.S. Equity AI Industry Chain Investment Logic

In 2026, the U.S. equity AI investment logic is shifting from concept speculation to earnings delivery. A capital expenditure super-cycle, led by hyperscale cloud providers, has taken shape, with total annual CapEx expected to exceed $700 billion, securing order visibility for the industry chain over the next 12–24 months. Within the three‑tier structure of the industry chain, compute infrastructure (Nvidia, Broadcom, etc.) offers the highest certainty; the foundation model layer still faces unclear profitability paths; and the application software layer benefits from dual optimization of revenue and costs. Investment opportunities are spreading sequentially across compute, storage, optical communications, and power supply. CoinW has launched its TradFi zone, supporting trading in U.S. equities such as Nvidia and Google, as well as AI‑theme tokens including TAO, RENDER, and FET. Risks to watch include elevated valuations, slowing CapEx growth, and geopolitical factors.

2026-06-246m

Optical Modules: The “Data Couriers” of the AI Era

2026 Optical Module Industry Chain Deep Dive: "Data Couriers" Under the AI Computing Race. A comprehensive analysis of the 800G/1.6T market breakout logic and CPO technology evolution, interpreting the competitive landscape of six core stocks including Marvell (MRVL), Lumentum (LITE), and Coherent (COHR). Combined with Serenity's "Bottleneck Theory" to gain insights into supply-demand gaps and upstream optical chip positioning, seizing the opportunities of structural industry transformation.

2026-07-1412m

From "Shiso Leaf" to 45‑Fold Myth: Decrypting the Alternative Investment Philosophy of Serenity

In May 2026, the anonymous account "Serenity" posted a 4502.45% annual return, earning the title "White‑Haired Stock God" and rapidly surpassing 750,000 followers on X. His core investment philosophy can be summarised as the "Shiso Leaf" theory and the "Chokepoint" theory – not chasing giants, but deeply cultivating irreplaceable "bottleneck" links in the industry chain, using public information to uncover undervalued assets. His holdings are concentrated in global small‑ to mid‑cap tech stocks in photonics, semiconductor substrates, and power semiconductors. CoinW has listed AI‑theme tokens such as TAO, RENDER, and FET, but no token exclusive to him. Risks to note include his unverified identity, post‑surge pullbacks, and high volatility in crypto assets.

2026-06-246m

Analysis of the U.S. Equity AI Industry Chain Investment Logic

In 2026, the U.S. equity AI investment logic is shifting from concept speculation to earnings delivery. A capital expenditure super-cycle, led by hyperscale cloud providers, has taken shape, with total annual CapEx expected to exceed $700 billion, securing order visibility for the industry chain over the next 12–24 months. Within the three‑tier structure of the industry chain, compute infrastructure (Nvidia, Broadcom, etc.) offers the highest certainty; the foundation model layer still faces unclear profitability paths; and the application software layer benefits from dual optimization of revenue and costs. Investment opportunities are spreading sequentially across compute, storage, optical communications, and power supply. CoinW has launched its TradFi zone, supporting trading in U.S. equities such as Nvidia and Google, as well as AI‑theme tokens including TAO, RENDER, and FET. Risks to watch include elevated valuations, slowing CapEx growth, and geopolitical factors.

2026-06-246m

From Platform Leaderboards to On-Chain Addresses: The Fundamental Difference Between Two Types of Copy Trading Signals

In copy trading, the signal source determines everything. KOLs on traditional CEX copy trading leaderboards know people are following them — that single fact creates an irresolvable conflict of interest. Trading addresses on on-chain derivatives platforms like Hyperliquid operate under entirely different conditions: anonymous traders compete with real capital, their performance is recorded immutably on-chain, and they have no idea who is tracking them — no audience, no incentive to perform. CoinW Smart Money copy trading connects these on-chain addresses to a CEX account, letting users follow real track records rather than curated personas, without ever touching a wallet.

2026-07-016m

CoinW Smart Money: Three Core Modules — Making Reverse Copy Trading Decision-Ready

The logic of reverse copy trading holds — but executing it requires identifying signal sources whose losses are genuinely stable and predictable. This is precisely the step most users cannot complete independently. CoinW Smart Money's three core modules work in concert to make this step a one-tap action: not by eliminating risk, but by systematically lowering the barrier to on-chain data filtering so that every decision has a foundation.

2026-07-029m

Using On-Chain Smart Money to Build Your Trading System

Learn how to use on-chain smart money data to build a trading system, identify signals, manage risk, and improve decision-making over time.

2026-07-029m