Backend Development Projects in Italy
Backend Development Projects in Italy
Sign Up
Post a job
Sign Up
Log In
Filters
2
Projects
People
Message
2
Révolté
pro
Marmorea: Crafting a Luxury E-commerce for Artisanal Goods
2
9
Message
1
Nargiza Amirbek Kyzy
This project delivers a web-based car rental experience tailored to travelers in Messina who need to reserve vehicles quickly and confidently. The site follows familiar e-commerce patterns-browse, select, authenticate, pay-while maintaining a lightweight interface suitable for visitors on mobile connections.
1
58
Message
0
Manfredi Marrone
An interactive quiz-based web application that rewards users with points and prizes
0
13
Message
0
Edgaras Kamandulis
This isn't Finance. It's Physics. Markets are fluids. Price is velocity. Crash is turbulence. While you stare at RSI, I am calculating the Laminar Flow. My S.C.A. Protocol applies Navier-Stokes equations to capital. If you understand this graph, you know why we need to talk. The Second Quantum Revolution is here.
0
31
Message
0
Jason Barrella
High-frequency Crypto Arbitrage System
0
6
Message
0
Francesco Trevisan
Stupid Monkeys - Web3 Website
0
28
Message
0
simone gabriele
3D Pixel Art Game - Dungeon Climber
0
13
Message
0
Omar Alsherbini
AAK Tele-Science New Platform MVP - Django & ReactJs Integration
0
24
Message
0
Francesco Marchetti
SalesShop | Fullstack Ecommerce
0
5
Message
0
Mukarram Ali
Kingdom's premier B2B platform for construction equipment transactions — serving iOS, Android, and Web from a single codebase. 3 platforms: iOS, Android, Web Moyasser payment gateway integration MVVM + Clean Code architecture
0
18
Message
0
Alberto Arlandi
E3CI Datastation
0
0
Message
0
Salvatore Faraci
Backend Java Developer - Rest - Architect - - Batch
0
30
Message
0
Max Zadoina
Back-end crypto engineer
0
1
Message
0
Max Zadoina
Blockchain back-end engineer
0
0
Message
22
Edgaras Kamandulis
Evolutionary Parameter Tuning Engine (Python) To solve the problem of market stagnation in HFT (High-Frequency Trading), I architected a Genetic Algorithm that evolves the bot's configuration in real-time. Instead of static settings, the system spawns a population of 40 different trading 'personalities'. It forces them to compete in a stochastic simulation based on recent market data. The Process: Selection: The top 10% performing configurations are isolated. Crossover: Their traits (RSI thresholds, Risk multipliers) are spliced together. Mutation: Random variations are introduced to discover new local optima. As shown in the terminal log, the system automatically evolved a strategy that increased efficiency from 263.3 to 492.8 in 15 generations, injecting a high-frequency aggressive configuration into the live bot.
22
280
Message
0
Mukarram Ali
B2B Marketplace App
0
0
Explore projects
