New Playbook Strategies Launched: Five Stock Selection Playbooks Now Free for All Users

2026-07-01 11:3811029

Bitget AI GetAgent Playbook has today added five new U.S. stock basket selection strategies, covering the full spectrum from high-growth, high-beta names to macro cross-asset allocation. The AI runs a two-stage LLM research process twice daily, generating structured watchlists complete with selection rationale, price targets, stop-loss levels, and key risks — ready for users to reference directly.

Overview of the Five New Strategies

1 | High-Beta Growth Investing

Strategy Focus: An offensive allocation tool targeting high-beta U.S. equities, designed for bull markets or periods of rising risk appetite.

Using a two-stage LLM research process, the AI prioritizes stocks most sensitive to liquidity improvements, user growth, revenue acceleration, and valuation re-rating, then organizes them across three allocation tiers:

High-Conviction Core Holdings: Combines business resilience with upside potential — suitable for maximum-weight allocation.
High-Beta Tactical Holdings: Narratives still being validated; high valuation elasticity, but discipline is required.
High-Risk Satellite Holdings: Second-derivative beta plays — meaningful upside, but greater fragility.

2 | Curated AI-Theme Stocks

Strategy Focus: Covers the full AI stack (compute, infrastructure, platforms, applications) with a dynamically updated curated watchlist refreshed daily.

The AI begins with a broad market-wide screen, filtering out companies with low AI relevance, weak financials, or purely speculative profiles. It then conducts in-depth research on shortlisted names, producing comprehensive analysis that includes target weights, AI sub-sector tier, confidence labels, and key risks. Inclusion is indicated by a name appearing on the list; removal is indicated by its absence.

Core rationale by tier:

Tier	Core Thesis in One Line
Compute Infrastructure	Revenue +85% YoY; unrivaled across both training and inference
Cloud & Platforms	Azure + Copilot monetization continues; RPO at $638B, backlog supports earnings visibility
Custom Silicon	AI semiconductor Q2 revenue $10.8B; Q3 guidance $16B
Manufacturing Bottleneck	Advanced node demand remains robust; Q2 guidance raised
Application-Layer Monetization	Enterprise AI budgets shifting from pilots to production; workflow monetization accelerating
Network Infrastructure	High-purity beneficiary of AI cluster networking layer

3 | Institutional Upgrade Tracker

Strategy Focus: Captures short-term re-rating opportunities driven by institutional analyst upgrades, with dynamic tracking of catalyst validity.

The AI scans analyst rating changes from the past seven days daily, retaining only events where ratings have clearly turned bullish or been upgraded to Buy. A large language model then validates the timeliness of each event and the underlying catalyst logic. When a rating lapses or an event expires, the name is automatically removed.

4 | Quality Business Model Stock Selection

Strategy Focus: Allocates to high-quality businesses with long-term compound interest potential at reasonable valuations — suited to investors with a business-owner mindset.

The AI scans nearly 200 U.S. stocks daily, scoring them across five core dimensions: customer prepayment operations, sustainably high returns on capital, low incremental capex, durable pricing power, and scalable addressable markets. The composite score emphasizes fundamental quality over pure price attractiveness, ultimately producing a concentrated portfolio of no more than 10 holdings.

5 | Macro Event-Driven Cross-Asset Panoramic Investing

Strategy Focus: A five-layer macro analysis framework spanning equities, ETFs, crypto assets, and more, automatically generating defensive, balanced, or offensive portfolio postures.

Five-Layer Analysis Framework:

Macro Environment Scan (Fed policy, geopolitical conflicts, VIX, DXY, yield curve)
Asset Class Fundamental Assessment (equity earnings, Bitcoin on-chain data, Gold central bank purchases, crude oil OPEC+ supply)
Valuation Analysis (CAPE, MVRV, Gold/S&P ratio, crude oil forward curve)
Cross-asset correlation analysis to determine portfolio posture
Composite scoring signals + volatility-based position sizing

Every signal comes with full interpretability metadata, including per-layer scores, investment rationale, and an enumeration of risks.

How to Use These Strategies

All five strategies operate in Signal Only mode. Each day, the AI outputs a watchlist with complete research rationale, covering selected names, reference prices, price targets, stop-loss levels, selection logic, and key risks — all for users' independent decision-making reference. The strategies do not include automated instructions to open positions, close positions, or trigger stop-losses.

These strategies are best suited for:

Investors who follow U.S. equities but lack a systematic research framework
Advanced users who want to integrate AI analytical capabilities into their own decision-making workflow
Quantitative or institutional professionals who require structured daily watchlists

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