#python#ant_colony_algorithm#artificial_intelligence#fish_swarms#genetic_algorithm#heuristic_algorithms#immune#immune_algorithm#optimization#particle_swarm_optimization#pso#simulated_annealing#travelling_salesman_problem#tsp
You can use scikit-opt, a Python library offering many heuristic optimization algorithms like Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony, Immune Algorithm, and Artificial Fish Swarm Algorithm. It supports user-defined functions to customize operators, allows continuing runs from previous iterations, and accelerates computations via vectorization, multithreading, multiprocessing, and caching. GPU support is in development. It helps solve complex optimization problems such as function minimization and the Traveling Salesman Problem efficiently, with easy installation and rich examples. This saves you time and effort in implementing and tuning optimization algorithms yourself.
https://github.com/guofei9987/scikit-opt
#POLYX/USDT analysis :
#POLYX has rebounded from the previously respected support zone and is currently trading above a minor support level. The price is expected to move upward from this level and test the swing high resistance.
TF : 2h
Entry : $0.1790
Target : $0.2036
SL : $0.1688
#POLYX/USDT analysis :
#POLYX has broken out and retested the support zone above the 200 EMA. The price is expected to continue its bullish momentum and test previous highs.
TF : 15min
Entry : $0.2353
Target : $0.2593
SL : $0.2232
#POLYX/USDT analysis :
#POLYX is presently establishing a bullish channel. The price has recently rebounded from the support zone and is now progressing to test the previous swing high.
TF : 4H
Entry : $0.2231
Target : $0.2538
SL : $0.2029