pythontwitter-botevent-detectioncrypto-signalsalgorithm-trading UpdatedAug 5, 2019 Python Create your own trading strategy using a genetic algorithm (NEAT). machine-learningtrading-robotsneat-algorithmalgorithm-trading UpdatedJan 20, 2025 C++ reinforcement learning project for stock trading ...
We present a universal method for algorithmic trading in Stock Market which performs asymptotically at least as well as any stationary trading strategy that computes the investment at each step using a continuous function of the side information. In the process of the game, a trader makes ...
Recently evolutionary algorithms, such as the Genetic Algorithm (GA), Genetic Programming (GP) and Particle Swarm Optimization (PSO), have become common approaches used in financial applications to address stock trading problems. In this paper, we propose a novel method called the Multi-objective Qu...
The stock market, which has been investigated by various researchers, is a rather complicated environment. Most research only concerned the technical indexes (quantitative factors), instead of qualitative factors, e.g., political effect. However, the latter plays a critical role in the stock market...
2034.Stock Price Fluctuation (M) 2071.Maximum-Number-of-Tasks-You-Can-Assign (H) 2612.Minimum-Reverse-Operations (H) 2736.Maximum-Sum-Queries (H) Dual Multiset 295.Find-Median-from-Data-Stream (M) 1825.Finding-MK-Average (H) 2653.Sliding-Subarray-Beauty (M+) 3013.Divide-an-Array-Into...
Traditional technical analysis is forecasting the up and down trends in the stock market. However, it is difficult to apply technical analysis directly because it relies on human experience to select optimal strategies for individual stocks. Thus, a stock market trading system has been developed to...
The issue of market data fee changes has caused an ongoing and growing divide between exchanges and the investment banks, broker-dealers, and trading firms that consume their data. In June, US exchanges Nasdaq and the New York Stock Exchange (NYSE) managed tosuccessfully appeala controversial...
In addition, many other interesting applications were developed based on Q-Learning, such as portfolio management for trading in the stock market (Lee, Park, Jangmin, Lee, & Hong, 2007), robot navigation (Chen, Li, & Dong, 2008; Das, Behera, & Panigrahi, 2016), visual tracking (Khim,...
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2034.Stock Price Fluctuation (M) 2071.Maximum-Number-of-Tasks-You-Can-Assign (H) 2653.Sliding-Subarray-Beauty (M+) Maintain intervals 715.Range-Module (H) 2213.Longest-Substring-of-One-Repeating-Character (H) 2276.Count-Integers-in-Intervals (H-) 2382.Maximum-Segment-Sum-After-Removals (M...