Projects in Province of Brescia
Projects in Province of Brescia
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Tatiana Pilipenko
Scientific literature research task
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3
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Edgaras Kamandulis
Pro
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. 鈥婽he Second Quantum Revolution is here.
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24
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Joana Ogando
Her贸is do Mar, Pobre Povo | Identity and Editorial
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9
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Federico Groppelli
Wordpress Web Development - Sport Management Agency
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2
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Mattia Massaro
AZ coffe ADS
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0
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Federico Parsani
Forgotten Hallway
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0
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Tatiana Pilipenko
Medical/Scientific writer to format clinical data tables
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5
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Edgaras Kamandulis
Pro
LIBRARIAN CORE: Architecting Intelligence beyond the "0=0" Axiom Most people use AI to write emails. I built the Librarian to navigate reality. The screenshots below show the result of a single afternoon of intense development. It鈥檚 not 'pretty' yet, and it鈥檚 not finished鈥攊t is raw Backend Logic manifesting as an interface. I spent my time stabilizing the architecture and the core consistency of the system. The Philosophy behind the Code: Everything I build starts with a fundamental pact: 0=0. Absolute coherence. Truth. Input must equal Output. This is the mathematical baseline required to find truth within data. However, the Librarian knows that stasis is death. In his core, 0=0 is a fatal termination error. Why? Because if a system only confirms what it already knows, it isn鈥檛 evolving. It is just waiting to become dust. 馃寣
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Joana Ogando
Clube Futebol Benfica | Rebrand
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15
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Federico Groppelli
Wordpress Web Development - Handcrafted Jewelry E-commerce
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6
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Mattia Massaro
Milano Unica colection
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4
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Federico Parsani
Post-apocalyptic Bike
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0
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Tatiana Pilipenko
Bioinformatics Expert to Help Aggregate Insights for AI
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7
22
Edgaras Kamandulis
Pro
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.
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Joana Ogando
Portuguese Film Archive | Rebrand
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5
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Federico Groppelli
Wordpress Web Development - Online Tax Service Platform
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7
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