TechnipFMC's (FTI) Forecast: Analysts Bullish on Oil and Gas Services Giant's Growth

Outlook: TechnipFMC plc is assigned short-term Ba1 & long-term B2 estimated rating.
AUC Score : What is AUC Score?
Short-term Tactic1 :
Dominant Strategy :
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (CNN Layer)
Hypothesis Testing : Lasso Regression
Surveillance : Major exchange and OTC

1Short-term revised.

2Time series is updated based on short-term trends.


Key Points

TechnipFMC's trajectory appears poised for moderate growth, fueled by increasing demand for energy infrastructure development and subsea services. Positive catalysts include project wins in key geographical regions and strategic partnerships that will enhance operational efficiencies. However, potential headwinds involve fluctuations in commodity prices, which could impact project profitability, and delays in project execution due to supply chain constraints or unforeseen challenges. The company also faces risks stemming from geopolitical instability and changing regulatory landscapes, particularly concerning environmental regulations, which can potentially disrupt operations and investment decisions. Investor sentiment may shift based on developments in the renewable energy sector, which could create uncertainty.

About TechnipFMC plc

TechnipFMC is a global leader in the energy industry, specializing in providing technology solutions for the design, construction, and maintenance of energy projects. The company operates across three key segments: Subsea, Surface Technologies, and Technip Energies. These segments offer a comprehensive portfolio of products, services, and integrated solutions for the oil and gas sector, as well as the emerging energy transition market. TechnipFMC is committed to advancing energy through its innovative technologies and services, with a focus on creating sustainable value for its stakeholders.


The company's Subsea segment is a major player in the underwater oil and gas production industry, providing integrated solutions from concept to field development. Surface Technologies supplies products and services for onshore and offshore oil and gas drilling and production. Technip Energies focuses on the energy transition, encompassing engineering, procurement, and construction (EPC) for projects involving hydrogen, biofuels, and other sustainable energy initiatives. Through these divisions, TechnipFMC aims to meet evolving global energy demands and support the transition towards a lower-carbon future.

FTI

FTI Stock Forecasting Model

Our data science and economics team has developed a machine learning model to forecast the future performance of TechnipFMC plc Ordinary Share (FTI). The model incorporates a diverse range of features, including historical stock performance data (technical indicators like moving averages, RSI, and MACD), macroeconomic indicators (global GDP growth, oil price fluctuations, inflation rates, and interest rates), and company-specific financial metrics (revenue, earnings per share, debt levels, and free cash flow). Furthermore, we've included sentiment analysis of financial news articles and social media discussions relating to TechnipFMC and the energy sector. This multifaceted approach allows our model to capture a holistic view of the factors influencing FTI's stock price.


The core of our model utilizes a combination of machine learning algorithms. We have experimented with various models, including Recurrent Neural Networks (RNNs), particularly LSTMs (Long Short-Term Memory), due to their ability to effectively handle sequential data like stock prices. Gradient Boosting models (XGBoost and LightGBM) are also deployed. The models are trained on historical data, validated using out-of-sample data, and regularly retrained to account for changing market conditions and new information. The performance is assessed using metrics such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and the directional accuracy to ensure the model is correctly identifying the trend. We continuously refine the model through feature engineering and hyperparameter tuning to optimize predictive accuracy. The forecast horizon is designed to provide predictions over a specified timeframe, typically ranging from a few days to several weeks.


It's crucial to acknowledge that this model provides a probabilistic forecast, not a guarantee. The stock market is inherently volatile and influenced by unpredictable events. Our model generates forecasts that represent our best estimate based on the available data and incorporates uncertainty measures. Regular monitoring and evaluation are essential. The model outputs forecasts and confidence intervals to aid in risk management. Econometric considerations are applied to adjust for market anomalies and other market events. Continuous feedback loops and real-world observations provide the data necessary to improve the model. The forecast is designed to be used in conjunction with expert financial analysis and should not be the sole basis for investment decisions.


ML Model Testing

F(Lasso Regression)6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Modular Neural Network (CNN Layer))3,4,5 X S(n):→ 3 Month R = 1 0 0 0 1 0 0 0 1

n:Time series to forecast

p:Price signals of TechnipFMC plc stock

j:Nash equilibria (Neural Network)

k:Dominated move of TechnipFMC plc stock holders

a:Best response for TechnipFMC plc target price

 

For further technical information as per how our model work we invite you to visit the article below: 

How do KappaSignal algorithms actually work?

TechnipFMC plc Stock Forecast (Buy or Sell) Strategic Interaction Table

Strategic Interaction Table Legend:

X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)

Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)

Z axis (Grey to Black): *Technical Analysis%

TechnipFMC PLC: Financial Outlook and Forecast

TechnipFMC's financial outlook is largely shaped by the dynamics within the energy sector, particularly in the offshore oil and gas market. The company's performance is closely tied to capital expenditure (CAPEX) decisions made by its clients, the oil and gas exploration and production (E&P) companies. Current market conditions, including fluctuating oil prices and a global emphasis on energy transition, create both opportunities and challenges. The company is strategically positioned in the subsea segment, which includes engineering, procurement, construction, and installation (EPCI) services for subsea infrastructure. This segment is expected to be a key driver of future growth, fueled by the need to develop existing offshore fields and the potential for new project approvals. Furthermore, the company's ongoing investment in the energy transition, focusing on areas such as offshore wind and hydrogen, is viewed as a forward-looking strategy to diversify its revenue streams and lessen its dependence on the cyclical oil and gas market. The company's backlog of orders and its ability to execute existing projects efficiently are critical indicators of near-term financial health.


The forecast for FMC's financial performance hinges on several key factors. The recovery in the offshore oil and gas sector will be a significant catalyst. Increased investment by E&P companies in deepwater projects, as well as sustained high oil prices, typically fuels demand for FMC's services. However, the speed of this recovery and the magnitude of the investment remain uncertain. Furthermore, FMC's success depends on its ability to secure new projects, especially in the subsea segment. Competitive bidding and pricing pressures within the industry can significantly impact profitability. Another crucial factor is the efficiency of the company's operations and its ability to manage costs effectively. Any project delays, cost overruns, or operational challenges could have an adverse effect on its financial results. Successful execution of its energy transition strategy also plays a significant role in its long-term outlook, with the potential to generate substantial revenue in the years to come if the company can secure and deliver projects in these new markets.


The company is implementing strategic initiatives to enhance its financial performance. This includes streamlining its operations to improve efficiency and reduce costs. FMC is also focused on enhancing its technology to meet evolving customer needs, investing in digital solutions that can improve the efficiency and safety of its operations. The company is also emphasizing its commitment to sustainability and its support for the energy transition. The company is also exploring opportunities to optimize its capital structure and manage its debt levels to improve its financial flexibility. FMC is likely to continue to develop strategic partnerships to expand its reach and enhance its capabilities, especially in areas such as offshore wind and hydrogen. Furthermore, the company's investment in innovation and research and development (R&D) is crucial for staying competitive and developing new technologies and solutions that meet evolving market demands.


Overall, the outlook for FMC appears cautiously optimistic. The anticipated recovery in the offshore oil and gas market, along with its strategic investments in the energy transition, suggests potential for future growth. However, this prediction is subject to several risks. The volatility of oil prices, geopolitical instability, and the pace of the energy transition could all significantly affect project approvals, and the company's financial performance. Moreover, the ongoing risk of supply chain disruptions, inflation, and competition from rival companies pose further challenges. FMC's ability to manage these risks and successfully execute its strategic initiatives will be crucial for delivering on its financial forecast.



Rating Short-Term Long-Term Senior
OutlookBa1B2
Income StatementBaa2Caa2
Balance SheetBa1C
Leverage RatiosBaa2Caa2
Cash FlowBaa2Baa2
Rates of Return and ProfitabilityB3Caa2

*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.
How does neural network examine financial reports and understand financial state of the company?

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