22Sep 2025 — Present
Fintech
Exoper
Founder & Lead Engineer
Active
Exoper is a non-custodial trading technology platform designed to help traders operate with greater structure and discipline. The platform provides AI-powered technical and macroeconomic market analysis, automated and manual execution, trade management, journaling, and behavioral analytics.
For years, retail traders have struggled not with a lack of strategy, but with a lack of execution rigor. The market is unforgiving, and emotional decision-making, psychological drift, and poor risk management consistently erode profitability. Most traders fail because they cannot maintain strict discipline over a sustained period of time.
Additionally, the landscape of trading technology is heavily fragmented. Traders are forced to juggle external charting software, separate macroeconomic calendars, manual trade journals, and clunky broker terminals. This friction leads to missed opportunities, poor trade logging, and an inability to objectively review performance.
Exoper was engineered to eliminate emotional trading and enforce institutional-grade discipline. It is a unified, non-custodial trading technology platform that brings AI-powered technical and macroeconomic analysis, execution, and advanced behavioral analytics into a single seamless ecosystem.
However, Exoper does not dictate how you trade. Instead, it empowers you to be the architect of your own edge. Users build their highly personalized Trading Systems—defining their identity, risk appetite, confluences, structural frameworks, and psychology rules. Exoper's AI then utilizes this unique system to power top-down technical and macroeconomic analysis precisely tailored to your edge.
Once a user defines their Trading System, Exoper automatically generates a comprehensive Trading Plan. This includes an AI-generated profile of their unique edge, rigid account risk parameters (daily loss limits, weekly drawdowns), and weekly audit prompts designed to enforce discipline.
When it comes to the market, traders have granular control over their Execution Rules. You configure exact parameters such as maximum concurrent trades, execution modes (Auto, Limit, Instant), and dynamic AI Guards. These guards act as safety nets—automatically blocking trades during high-impact news, low liquidity hours, or when minimum risk-to-reward ratios are not met.
The platform executes these trades with the precision and confidence of a seasoned discretionary trader, but with the speed and structural rigor of a machine. Security remains paramount; Exoper's non-custodial framework ensures your funds never leave your secure broker accounts.
One of the most revolutionary aspects of Exoper is its approach to journaling and performance review. Instead of manually logging trades, Exoper automatically syncs every execution into a Daily Journal, calculating win rates, Risk-to-Reward ratios, and P&L with zero manual effort.
The platform goes beyond simple numbers. It features a Discipline Scorecard that actively tracks rule adherence, emotional control, patience (waiting for sweeps), and execution precision. It dissects every setup, allowing you to review the decisions behind every trade.
Over time, Exoper AI autonomously analyzes your performance, tracking your psychology and rule adherence to help you evolve into a master trader. It provides immediate feedback, letting you know exactly what is making you money and what behaviors are holding you back.
As Founder and Lead Engineer, I established the architectural vision and actively built Exoper alongside a talented team of 3 engineers. Drawing from my 5 years of experience in forex trading, I intimately understood the bottlenecks traders faced and engineered the exact solution needed to overcome them.
I personally architected the multi-LLM analysis engine (integrating OpenAI, Gemini, Claude) with RAG pipelines and the TradingEconomics API. This engine performs full top-down technical analysis across 13 timeframes and comprehensive macroeconomic analysis based strictly on the user's custom system, routing orders to the broker in just 50–70 seconds with millisecond execution latency.
Furthermore, I developed the headless MetaTrader terminal provisioning system on Linux VPS using Wine, Xvfb, and Kubectl. This complex infrastructure allowed for seamless, secure connectivity across brokers and prop firms, powering the MQL5 Expert Advisors I built for real-time trade execution and WebSocket streaming.
Building an institutional-grade, low-latency financial trading platform requires a strictly typed, memory-safe, and highly distributed infrastructure:
Implemented a polyglot microservices architecture utilizing Go for high-concurrency order routing, Rust for compute-heavy analytic modules, FastAPI (Python) for AI interfacing, and TypeScript for real-time client streaming.
Kubernetes multi-region deployment with Helm charts. Orchestrated Envoy proxy and edge ingress for global low-latency access and dynamic scaling.
Enforced AES-256 encryption, JWT authentication, and strict Role-Based Access Control (RBAC). Implemented immutable audit logging, real-time threat detection, and maintained compliance with GDPR, MiFID II, EU AI Act, and ISO 27001 standards.
Go
Rust
TypeScript
Python
Kubernetes
Docker
Linux
Vite
GitHubExoper is a testament to the power of combining deep domain expertise with cutting-edge engineering. By merging advanced multi-LLM analysis with robust, low-latency execution infrastructure, we created a platform that genuinely levels the playing field for traders.
It stands as proof that with the right technological guardrails and analytical rigor, emotional trading can be systematically eliminated, allowing traders to operate with institutional precision, structure, and absolute confidence.