Stocked AI – Survto AI
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Stocked AI
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Stock market analysis (33)

Stocked AI

Unlocking market-beating stock recommendations with AI.

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Starting price Free + from $49/mo

Tool Information

Stocked AI is a tool designed to assist long-term investors in making stock trading decisions. The platform uses proprietary machine learning models to generate market-beating stock recommendations. The primary function of the tool is to provide monthly stock picks which aim to outperform the S&P 500 index. This function is designed to eliminate the emotional bias from investing and provide data-backed choices for users. The tool's quantitative trading models are constantly analysing data, with the objective of optimizing results. Stocked AI is implemented for a diversified investment approach, as it may focus on various sectors over time based on where the best opportunities are identified. Upon subscribing, users receive an email containing the tool's past picks, followed by monthly emails detailing the AI picks for the upcoming month. The tool's primary strategy includes purchasing the recommended stocks and selling them 12 months later, although users can choose to modify this strategy. It should be noted that results are evaluated on the performance of the entire portfolio rather than individual picks, and past performance is not indicative of future results. As such, investors are recommended to take their personal financial situations and objectives into account when using the service.

F.A.Q (20)

Stocked AI is a sophisticated tool that leverages advanced machine learning models to provide reliable and accurate daily stock predictions. Its main function is to assist users in making informed and confident investment decisions based on objective data and advanced technology.

To derive its stock predictions, Stocked AI uses a combination of AI quantitative trading models that analyze terabytes of data. These models are finely tuned to optimize results, and are constantly running to analyze new data. The underlying methodology is rooted in peer-reviewed research.

Stocked AI harnesses the prowess of advanced neural network machine learning algorithms. Specifically, it leverages Long Short-Term Memory (LSTM) models to recognize complex patterns and relationships in historical market data spanning five years.

Stocked AI re-trains its predictive models daily, which allows it to harness the latent patterns in the freshest data possible.

Yes, through the daily retraining of its models, Stocked AI can readily adapt to changes in the market, ensuring predictions remain robust and up-to-date.

To evaluate the accuracy of its stock predictions, Stocked AI makes use of the Mean Squared Error (MSE) method, a popular metric for quantifying prediction errors.

Stocked AI has adopted a subscription-based pricing model. It provides two options: a monthly subscription at $49 per month, and an annual subscription to be paid $495 per year. This makes the service accessible and affordable for a wide range of retail investors.

Stocked AI supports a diversified investment approach by analyzing every stock in the S&P 500 with its AI quantitative trading models. Then it uses another model to weight the attributes and select two stocks per month. It may focus on different sectors at different times, depending on where the best opportunities are identified.

Once subscribed to Stocked AI, users will receive an initial email with the tool's past picks, followed by monthly emails detailing the AI picks for the upcoming month.

Stocked AI's primary strategy includes purchasing the recommended stocks and selling them after a holding period of 12 months.

Stocked AI eliminates emotional bias from investing by relying solely on data and AI quantitative trading models for its stock picks. It does not incorporate subjectivity or emotion into the stock selection process.

The performance of one's portfolio on Stocked AI is measured as a whole rather than on individual stock picks. The tool aims to outperform the market on portfolio-level and not necessarily with every individual pick.

Yes, Stocked AI's designed purpose is to generate stock recommendations with the aim to outperform the S&P 500 index based on its proprietary machine learning models.

Stocked AI may not be best suited for single sector investors. The tool aims to spot the best opportunities regardless of the sector, implying that its focus could rotate between sectors over different periods of time.

Stocked AI’s quantitative trading models work by analyzing each stock in the S&P 500 index. After analyzing, another model is used to weight the attributes and select the top two stocks per month. These models are fine-tuned to optimize results and are continuously run to analyze new data.

While Stocked AI's strategy involves buying the recommended stocks and selling them 12 months later, users have the freedom to modify this strategy. The potential for better returns or not in doing so is something they need to consider individually.

Stocked AI does not offer personalized investment advice. The tool provides stock picks based on AI quantitative trading models, but it leaves the deployment and fine-tuning of these strategies to the discretion of the subscriber.

Past performance of Stocked AI is not indicative of future results. Investment always carries a potential for loss and users should make investment decisions keeping in mind their financial situations and objectives.

The Stocked AI team can be reached via email at [email protected] or by filling out the contact form on their website.

Yes, Stocked AI offers an affiliate program. Each person referred who subscribes to Stocked Picks earns the referrer 20% of the subscription cost. The referrer earns $99 per yearly subscription.

Pros and Cons

Pros

  • Uses advanced LSTM algorithms
  • Trained on historical market data
  • Daily model retraining
  • Reports mean squared error (MSE)
  • Subscription-based pricing model
  • Continuous model performance monitoring
  • Aims to outperform S&P 500
  • Eliminates emotional bias
  • Constant data analysis
  • Optimizes trading results
  • Email updates on picks
  • Focuses on diversified sectors
  • Recommends long holding periods
  • Evaluates portfolio performance
  • Implemented for long-term investors
  • Provides past stock picks
  • Monthly new stock picks
  • Result output is user-modifiable
  • Doesn't require frequent trading
  • Results delivered by email

Cons

  • Only provides monthly recommendations
  • Focused on long-term investing exclusively
  • Based only on S&P 500
  • No customizable alerting system
  • Limited backtesting data
  • No guarantee of future returns
  • Subscription-based pricing model
  • Non-personalized investment advice
  • No live trading data
  • Doesn't focus on dividends

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