ŷRobot Daily: BKR, STNE, RBA, FAST, TAL Model Insights

ŷRobot Research · July 23, 2026

Today's Highlights

• BKR: ŷRobot's fair-value model estimates a significant positive gap for this large-cap energy company, supported by a bullish AI score as of 2026-07-22.
• STNE: This mid-cap technology firm shows a negative fair-value gap according to ŷRobot's models, with a bullish AI score direction as of 2026-07-22.
• RBA: ŷRobot's fair-value model suggests a positive gap for the large-cap industrials company, though its chart model is neutral as of 2026-07-22.

BKR - Baker Hughes Co

Baker Hughes Co (BKR) operates within the ENERGY sector, providing products and services to the oil and gas industry worldwide. As a large-cap company, BKR's performance is often tied to global energy demand, commodity prices, and capital expenditure trends in exploration and production. The energy sector is currently navigating transitions towards cleaner energy while still meeting traditional fossil fuel demands, making the operational efficiency and technological advancements offered by companies like BKR crucial.

ŷRobot's fair-value model, a machine-learning system trained on extensive historical financial data, aims to estimate the intrinsic value of a stock based on various fundamental metrics. For BKR, the model estimates a fair value of $72.60 as of 2026-07-22. Compared to its prior close of $56.60, this suggests a positive fair-value gap of +28%. This gap indicates that, according to ŷRobot's quantitative assessment, the stock's current market price is below its estimated intrinsic value.

ŷRobot's chart model analyzes price and volume patterns to identify recurring technical signals. These signals are probabilistic indicators of potential future price movements, derived from historical market behavior. For BKR, the chart model currently classifies the stock as "neutral / no strong signal" as of 2026-07-22. This classification suggests that, based on its technical patterns, the model does not detect a clear bullish or bearish trend at this time.

The AI composite score, ranging from 0 to 100, measures the degree of agreement and confidence across ŷRobot's various analytical models. A higher score signifies stronger consensus among the models regarding a particular directional outlook. BKR has an AI score of 86/100 as of 2026-07-22, with a "bullish" direction. This high score indicates a robust alignment among ŷRobot's models, with the fair-value model's positive gap aligning with other underlying signals to suggest a bullish overall view.

STNE - StoneCo Ltd

StoneCo Ltd (STNE) is a mid-cap technology company primarily operating in the financial technology (fintech) sector in Brazil. It provides a comprehensive suite of solutions for merchants, including payment processing, software, and credit offerings. The fintech sector is characterized by rapid innovation and disruption, driven by increasing digital adoption and evolving consumer and business needs for efficient financial services. STNE's position in a large emerging market makes its growth trajectory particularly sensitive to regional economic conditions and regulatory changes.

ŷRobot's fair-value model, which employs machine learning to derive intrinsic value from fundamental data, estimates a fair value of $10.60 for STNE as of 2026-07-22. With its prior close at $11.40, this results in a negative fair-value gap of -7%. This indicates that, based on ŷRobot's quantitative analysis, the current market price is trading above the model's estimated intrinsic value.

The chart model, a system designed to identify technical patterns from price and volume data, provides probabilistic signals about potential future price action. For STNE, ŷRobot's chart model currently classifies the stock as "neutral / no strong signal" as of 2026-07-22. This classification suggests that the model does not identify a clear technical trend, either bullish or bearish, based on recent trading activity.

The AI composite score, a quantitative measure from 0 to 100, reflects the consistency and confidence of signals across ŷRobot's analytical framework. A higher score suggests stronger agreement among the models. STNE has an AI score of 61/100 as of 2026-07-22, with a "bullish" direction. While the fair-value model indicates a negative gap, the overall composite score, influenced by other factors, still leans bullish, suggesting some conflicting but ultimately positive underlying signals.

RBA - RB Global Inc.

RB Global Inc. (RBA) is a large-cap company in the INDUSTRIALS sector, known for its global marketplace for insights, services, and transaction solutions for commercial assets. This includes equipment and vehicle marketplaces. The industrials sector is broad, encompassing manufacturing, machinery, aerospace, and transportation, and is often a bellwether for economic activity. Companies like RBA play a critical role in facilitating the exchange and valuation of heavy equipment, impacting various industries from construction to agriculture.

ŷRobot's fair-value model, which uses machine learning to assess a stock's intrinsic worth based on fundamental data, estimates a fair value of $117 for RBA as of 2026-07-22. Compared to its prior close of $110, this implies a positive fair-value gap of +6%. This indicates that, according to ŷRobot's quantitative analysis, the stock's market price is currently below its estimated intrinsic value.

The chart model, which analyzes historical price and volume data to detect technical patterns, provides probabilistic signals regarding potential future price movements. For RBA, ŷRobot's chart model currently classifies the stock as "neutral / no strong signal" as of 2026-07-22. This classification suggests that, based on its technical indicators, the model does not identify a distinct bullish or bearish trend.

The AI composite score, a metric from 0 to 100, quantifies the level of agreement and conviction among ŷRobot's diverse analytical models. A higher score signifies greater consensus. RBA has an AI score of 58/100 as of 2026-07-22, with a "neutral" direction. This score, while moderate, suggests that while the fair-value model indicates a positive gap, other models or factors within the composite framework are contributing to a neutral overall directional view.

FAST - Fastenal Company

Fastenal Company (FAST) is a large-cap enterprise within the INDUSTRIALS sector, specializing in the wholesale distribution of industrial and construction supplies. Its business model relies on a vast network of branches and onsite locations, providing fasteners, tools, and other MRO (maintenance, repair, and operations) products. The performance of companies like FAST is closely linked to manufacturing output, construction activity, and overall industrial demand, making it sensitive to economic cycles.

ŷRobot's fair-value model, a machine-learning system that estimates intrinsic value from fundamental financial data, calculates a fair value of $47.60 for FAST as of 2026-07-22. Against its prior close of $45.30, this indicates a positive fair-value gap of +5%. This suggests that, based on ŷRobot's quantitative assessment, the stock's current market price is below its estimated intrinsic value.

The chart model, which processes historical price and volume data to identify technical patterns, offers probabilistic signals about potential future price trajectories. For FAST, ŷRobot's chart model currently classifies the stock as "neutral / no strong signal" as of 2026-07-22. This classification implies that, based on its technical analysis, the model does not discern a clear bullish or bearish trend at this time.

The AI composite score, a numerical index from 0 to 100, reflects the degree of consensus and confidence across ŷRobot's various analytical models. A higher score indicates stronger agreement. FAST has an AI score of 56/100 as of 2026-07-22, with a "neutral" direction. This moderate score suggests that while the fair-value model shows a positive gap, other model inputs or factors within the composite framework are leading to a neutral overall directional view.

TAL - TAL Education Group

TAL Education Group (TAL) is a mid-cap company operating in the CONSUMER DEFENSIVE sector, specifically within the education services industry in China. It provides K-12 after-school tutoring services, online education, and educational content. The consumer defensive sector typically includes companies that provide essential goods and services, which tend to be less sensitive to economic cycles. However, the education sector in China has faced significant regulatory shifts, which can introduce unique challenges and opportunities for companies like TAL.

ŷRobot's fair-value model, a machine-learning system that estimates intrinsic value by analyzing fundamental financial data, calculates a fair value of $8.36 for TAL as of 2026-07-22. Compared to its prior close of $10.30, this results in a negative fair-value gap of -19%. This indicates that, according to ŷRobot's quantitative assessment, the stock's current market price is trading above its estimated intrinsic value.

The chart model, which analyzes historical price and volume data to identify technical patterns, provides probabilistic signals about potential future price movements. For TAL, ŷRobot's chart model currently classifies the stock as "neutral / no strong signal" as of 2026-07-22. This classification suggests that, based on its technical indicators, the model does not identify a distinct bullish or bearish trend.

The AI composite score, an index from 0 to 100, measures the level of agreement and confidence among ŷRobot's various analytical models. A higher score indicates stronger consensus. TAL has an AI score of 60/100 as of 2026-07-22, with a "neutral" direction. This score suggests that while the fair-value model indicates a significant negative gap, other models or factors within the composite framework are contributing to a neutral overall directional view.

ŷRobot analysis is AI-generated and quality-gated; nothing here is investment advice.