Coinrule’s agent-based AI infrastructure is officially live across seven major stock broker platforms: Tradier, Trading 212, Tastytrade, eTrade, Public, Webull. Coinrule is successfully bringing supervised human-in-the-loop AI execution directly on top of brokerage accounts.

Retail trading just entered a new era of AI automation: https://lnkd.in/dAQAuy6k

Discl: Trading involves risk and may result in losses. DYOR. Message not intended for users in UK/France

The post Coinrule Expands to Stocks & ETFs via 7 New Broker Integrations appeared first on Coinrule.

The launch builds on Coinrule’s recent push into equities and automated stock trading, following the platform’s NYSE integration via brokers such as Alpaca, Trading212, Tradier, TradeStation, TastyTrade, and Webull.

What Are Stock Baskets – and Why They Matter

Stock baskets allow traders to group multiple equities into a single tradable unit, enabling portfolio-level execution rather than isolated stock selection. Instead of managing individual positions across dozens of tickers, a basket lets traders deploy rules across an entire sector or theme simultaneously.

For systematic traders, baskets are particularly effective for:

• Reducing single-stock risk through diversification

• Expressing macro or sector views without timing individual names

• Running automated strategies across correlated assets

• Maintaining consistent exposure as market leadership rotates

Within Coinrule, baskets can be traded manually or automated using rule-based strategies such as trend following, volatility breakouts, rebalancing models, or macro-driven allocations.

Newly Released Coinrule Stock Baskets

The new lineup spans core economic sectors, high-growth themes, and retail-driven markets.

Energy
Designed for commodity-linked cycles, the Energy basket includes Exxon Mobil (XOM), Chevron (CVX), ConocoPhillips (COP), Occidental Petroleum (OXY), EOG Resources (EOG), and Shell (SHEL). Energy stocks tend to respond strongly to oil prices, geopolitical events, and inflation expectations, making them well-suited for trend and momentum strategies.

Banking
This basket targets large financial institutions sensitive to interest rates and credit conditions, including JPMorgan Chase (JPM), Bank of America (BAC), Wells Fargo (WFC), Citigroup (C), Goldman Sachs (GS), and Morgan Stanley (MS). Banking baskets are often used for macro-driven strategies tied to yield curves and monetary policy shifts.

Uranium
With nuclear energy returning to focus globally, the Uranium basket groups Cameco (CCJ), Kazatomprom (KAP), Uranium Energy Corp (UEC), Energy Fuels (UUUU), Denison Mines (DNN), and NexGen Energy (NXE). Uranium equities are historically volatile and cyclical, making basket-based exposure particularly valuable for risk control.

AI and Computing
This basket captures companies driving AI infrastructure and deployment, including NVIDIA (NVDA), Microsoft (MSFT), Alphabet (GOOGL), Amazon (AMZN), Advanced Micro Devices (AMD), Broadcom (AVGO), and Palantir (PLTR). Traders often use this basket to express long-term secular growth or shorter-term momentum strategies.

MAG7
Focused on the largest technology companies dominating U.S. equity indices, the MAG7 basket includes Apple (AAPL), Microsoft (MSFT), Amazon (AMZN), NVIDIA (NVDA), Alphabet (GOOGL), Meta Platforms (META), and Tesla (TSLA). These stocks frequently drive index-level performance and are commonly traded using trend and volatility models.

Additional baskets cover Defense, Agriculture, Telecom & Network Infrastructure, Payments & Fintech, Biotech, Healthcare, Quantum Computing, EVs, China Tech, Internet & Social platforms, Consumer Growth, Premium Consumer brands, and Traders’ Favourites.

Why Baskets Work Especially Well in Automated Trading

Sector baskets align naturally with systematic trading approaches. In banking or energy, correlated stocks often move together in response to macro drivers. In emerging themes like uranium or quantum computing, baskets reduce reliance on a single high-beta name. For retail-driven sectors, baskets help smooth extreme volatility while preserving directional exposure.

On Coinrule, traders can:

• Apply one strategy across an entire basket

• Allocate capital evenly or dynamically across constituents

• Combine baskets with ETFs, commodities, or crypto in a single portfolio

• Use pre-built professional strategies or build custom rules without coding

Coinrule’s Broader Vision

The expansion of stock baskets reflects Coinrule’s broader strategy: lowering the barriers to disciplined, systematic trading in traditional markets. By enabling rule-based automation across diversified stock portfolios, Coinrule addresses two persistent challenges facing retail traders, financial exclusion and poor risk management driven by emotion or over-concentration.

Rather than encouraging speculative, single-stock bets, baskets promote structured exposure, repeatable execution, and portfolio-level thinking, principles long used by institutional investors but historically inaccessible to retail participants.

With its growing equities infrastructure, Coinrule continues to position itself as a platform where automation, diversification, and strategy design converge, bringing professional trading tools into the hands of a broader market.

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The New York Stock Exchange

The New York Stock Exchange is the world’s largest equity exchange by total market capitalisation, hosting over $25 trillion in listed securities. It is characterised by deep institutional liquidity, tight bid-ask spreads, and a hybrid market structure combining electronic matching with designated market makers.

From a quantitative and systematic trading perspective, NYSE-listed instruments are particularly attractive due to factors like – High average daily volume (ADV), strong price discovery and notably predictable volatility regimes relative to smaller-cap venues.

Major NYSE-Listed Stocks

• JPM – JPMorgan Chase & Co.

• BRK.B – Berkshire Hathaway Class B

• JNJ – Johnson & Johnson

• XOM – Exxon Mobil

• KO – Coca-Cola

• DIS – Walt Disney Company

• NKE – Nike Inc.

• CAT – Caterpillar Inc.

  Widely Traded NYSE ETFs

  • SPY – S&P 500 ETF (NYSE Arca)

  • DIA – Dow Jones Industrial Average ETF

  • XLF – Financial Select Sector SPDR

  • XLE – Energy Select Sector SPDR

  • GLD – SPDR Gold Shares

  • SLV – iShares Silver Trust

These stocks are frequently used in trend-following, breakout, and earnings-momentum strategies due to their liquidity and institutional participation. NYSE ETFs are especially well-suited for algorithmic strategies such as sector rotation, volatility filtering, and macro-driven allocation models.

Coinrule’s NYSE Integration: A Major Platform Expansion

Coinrule’s NYSE integration enables users to automate trading strategies on U.S. equities through the following broker connections:

• Alpaca

• Trading212

• Tradier

• TradeStation

• TastyTrade

• Webull

This rollout allows Coinrule users to execute fully automated stock trading bots on NYSE-listed stocks and ETFs using real-time market data and broker-native execution. Importantly, this is not a passive charting integration. Coinrule strategies can place market and limit orders, apply conditional logic based on price, indicators, and time, manage position sizing and portfolio exposure and enforce stop-loss and take-profit rules automatically.

Coinrule’s Strategic Push into Stock Trading Bots

Historically associated with crypto automation, Coinrule has made a deliberate and accelerated move into equity markets. The NYSE integration is part of a broader strategy to bring institutional-style systematic trading to retail and professional stock traders.

With the NYSE now fully integrated into Coinrule, users can design and deploy sophisticated stock trading strategies without writing a single line of code. The platform enables traders to build custom stock trading bots through an intuitive rule-based interface, while also supporting multi-asset strategies that combine U.S. equities, ETFs, commodities, and crypto within a single automated framework. Traders can access U.S. stocks via professionally designed, pre-built rule templates or customise their own logic, and run portfolio-based strategies across multiple NYSE-listed instruments at the same time, allowing for systematic exposure management rather than isolated trade execution.

Common strategy types deployed on NYSE assets include trend-following systems applied to large-cap stocks, volatility breakout models focused on sector-specific ETFs, and mean-reversion strategies built around index-linked products. More advanced users also implement macro-driven allocation models that dynamically rotate capital across ETFs such as SPY, GLD, and XLE, using predefined economic or market conditions to guide portfolio adjustments.

Why NYSE Automation Matters in 2026

Equity markets are increasingly driven by systematic flows, earnings algorithms, and macro-sensitive positioning. Manual execution struggles to compete with this environment. Automating NYSE trading introduces consistent execution discipline and reduced emotional bias. This allows users to use automated trading strategies with faster reactions to price shifts and enable scalable portfolio management

Coinrule’s rule-based engine allows traders to define their logic once and apply it continuously, removing the need to monitor markets intraday or react manually to news-driven volatility.

A Multi-Asset Automation Platform Takes Shape

With NYSE now live, Coinrule is no longer limited to a single asset class. Traders can automate strategies across Stocks, ETF, Commodities and Crypto.

This release cements Coinrule’s transition into a full-spectrum trading automation platform, bringing stock trading bots and professional-grade strategy design to a broader audience. The NYSE integration is not just a feature update. It represents a foundational shift in how Coinrule users can access and automate the world’s most important equity market.

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