In Reinforcement Learning (RL), multi-armed Bandit (MAB) problems have found applications across diverse domains such as recommender systems, healthcare, and finance. Traditional MAB algorithms typically assume stationary reward distributions, which limits their effectiveness in real-world scenarios characterized by non-stationary dynamics. This paper addresses this limitation by introducing and evaluating novel Bandit algorithms designed for non-stationary environments. First, we present the Adaptive Discounted Thompson Sampling (ADTS) algorithm, which enhances adaptability through relaxed discounting and sliding window mechanisms to better respond to changes in reward distributions. We then extend this approach to the Portfolio Optimization problem by introducing the Combinatorial Adaptive Discounted Thompson Sampling (CADTS) algorithm, which addresses computational challenges within Combinatorial Bandits and improves dynamic asset allocation. Additionally, we propose a novel architecture called Bandit Networks, which integrates the outputs of ADTS and CADTS, thereby mitigating computational limitations in stock selection. Through extensive experiments using real financial market data, we demonstrate the potential of these algorithms and architectures in adapting to dynamic environments and optimizing decision-making processes. For instance, the proposed bandit network instances present superior performance when compared to classic portfolio optimization approaches, such as capital asset pricing model, equal weights, risk parity, and Markovitz, with the best network presenting an out-of-sample Sharpe Ratio 20% higher than the best performing classical model.

The portfolio selection (PS) problem is a challenging problem for machine learning, online algorithms and, of course, computational finance. As is well known (e.g.

While investors wonder why stocks are dropping today, artificial intelligence (AI) stocks could be worth watching. For starters, they are likely trading lower in today's stock market as tech stocks sell-off amidst inflation and crypto-related issues. While this may be the case, their long-term growth prospects remain unchanged. Accordingly, this is because of the rapid adoption of AI tech in our world today. In fact, Bank of America (NYSE: BAC) equity strategist Felix Tran released a related research note on the "Future of Work" just last week.

For investors looking for momentum, Global X Robotics & Artificial Intelligence ETF BOTZ is probably a suitable pick. The fund just hit a 52-week high and is up 99.4% from its 52-week low price of $18.49/share. Let's take a look at the fund and its near-term outlook to gain an insight into where it might be headed: This ETF seeks to invest in companies that potentially stand to benefit from increased adoption and utilization of robotics and AI, including those involved with industrial robotics and automation, non-industrial robots, and autonomous vehicles. It has AUM of $2.60 billion and charges 68 basis points (bps) in annual fees. Due to the coronavirus outbreak, the robotics market is flooded with opportunities as robots are being used for jobs such as sanitizing hospitals, homes and workplaces along with monitoring, surveying, handling, and delivering food and medicines.

This forecast is part of the Top 10 Stocks Package, as one of I Know First's systematic trading tools. Package Name: Stock Forecast & S&P500 Forecast Recommended Positions: Long Forecast Length: 3 Days (12/1/2020 – 12/4/2020) I Know First Average: 13.95% The algorithm correctly predicted 10 out 10 of the suggested trades in the Stock Forecast & S&P500 Forecast Package for this 3 Days forecast. The prediction with the highest return was KSS, at 27.02%. CCL and MT also performed well for this time horizon with returns of 17.37% and 17.18%, respectively.

For investors looking for momentum, First Trust Nasdaq Artificial Intelligence and Robotics ETF ROBT is probably a suitable pick. The fund just hit a 52-week high and is up 96.8% from its 52-week low price of $22.51/share. Let's take a look at the fund and its near-term outlook to gain an insight into where it might be headed: This ETF seeks investment results that correspond generally to the price and yield, before the fees and expenses of the Nasdaq CTA Artificial Intelligence and Robotics Index. It has AUM of $137.5 million and charges 65 basis points in annual fees. Due to the coronavirus outbreak, the robotics market is flooded with opportunities as robots are being used for jobs such as sanitizing hospitals, homes and workplaces along with monitoring, surveying, handling, and delivering food and medicines.

This Retail Stocks forecast is designed for investors and analysts who need market predictions for the best stocks to invest in the retail estate sector (see Retail Stocks Package). Package Name: Retail Stocks Recommended Positions: Long Forecast Length: 3 Months (7/21/2020 – 10/21/2020) I Know First Average: 52.91% KIRK was our best stock pick this week a return of 172.54%. Other notable stocks were BGFV and GPS with a return of 128.18% and 49.96%. The package saw an overall yield of 52.91% versus the S&P 500's return of 5.65% implying a market premium of 47.26%. Algorithmic traders utilize these daily forecasts by the I Know First market prediction system as a tool to enhance portfolio performance, verify their own analysis and act on market opportunities faster.

While investors were holding onto their seats, anxiously awaiting the Feds final announcement before November elections, markets were green and extending the gains of the past two days. The Dow was up 100 points higher (0.4%), and the S&P 500 up 0.3%. The Nasdaq, however, showed some signs of cooling off from its strong recovery after last week's rout, only gaining 0.1%. The Fed's announcement today should surely move the markets more. Investors are anticipating Chairman Jay Powell's announcement that the Fed will keep rates at or near 0% through 2023, an unprecedented policy shift and stimulus to the economy.

For investors looking for momentum, iShares Robotics and Artificial Intelligence Multisector ETF IRBO is probably a suitable pick. The fund just hit a 52-week high and is up 71.9% from its 52-week low price of $19.10/share. Let's take a look at the fund and its near-term outlook to gain an insight into where it might be headed: This ETF seeks to track the investment results of an index composed of developed and emerging market companies that could benefit from the long-term growth and innovation in robotics technologies and AI. It has AUM of $176.1 million and charges 47 basis points (bps) in annual fees. Due to the coronavirus outbreak, the robotics market is flooded with opportunities as robots are being used for jobs such as sanitizing hospitals, homes and workplaces along with monitoring, surveying, handling, and delivering food and medicines.

The early muted gains were accelerated as the markets surged higher today. Investors will be keenly observing the developments on the new stimulus package in the US, with the old one expiring at the end of the month. Markets are hopeful after the European Union signed off on a 750-billion-euro package last night that drove European markets higher. Corporate earnings were also strong overall this morning, with majors such as Coca-Cola and IBM reporting stronger than expected quarterly reports. Our deep learning algorithms have gone through the data and have used Artificial Intelligence ("AI") technology to help you spot the Top Buys for today.