Concept

Mapping objectives

Development plan

Code

Developers

Client confirmation

Quality checks

Unit testing

Building the code

Happy client

Client check

Client review

1. Planning

2. Development

3. Testing

4. Delivery

5. Deployment

Larger projects continue past delivery.

We capture your business objectives, define technical and requirements, and produce a project brief with timeline and success criteria.

We work in short, transparent sprints, delivering work quickly for feedback. All code is peer-reviewed, version-controlled, and fully documented.

Automated unit, integration, and stress tests run on every build. Security, latency, and performance issues are resolved before anything reaches production.

You receive the final code, documentation, and a hand-over session with our engineers. We verify that every agreed KPI is met prior to sign-off.

For production roll-outs such as live-trading strategies via API, Telegram bots, or websites, we provision cloud infrastructure with 99.9% up-time, automate CI/CD pipelines, and provide 24/7 monitoring and support.

Monitoring

CI/CD pipeline

Infrastructure

Case Studies

Problem
TradeWise Partners needed to operationalise a complex trading strategy and reliably distribute signals to a growing Telegram community, without manual intervention or delivery delays.

Solution

• Development of a custom TradingView indicator encapsulating complex strategy logic

• Design of structured TradingView alerts suitable for automation and external systems

• Implementation of TradingView webhooks to transmit signals in real time

• Development of a custom Telegram bot to receive, process, and distribute signals to community channels

• Deployment of a VPS-based automation layer to ensure 24/7 reliability and uptime

• End-to-end testing and validation of the full alert → bot → community pipeline

Outcome
A stable, fully automated signal distribution system enabling real-time delivery to Telegram communities with minimal operational overhead.

Problem
The client needed to improve the robustness and scalability of algorithmic trading strategies before deploying capital.

Solution
We worked closely with the client on the full research-to-production lifecycle, including:

• Parameter sensitivity analysis to identify stable regions of performance

• Genetic optimisation to efficiently explore large parameter spaces

• Walk-forward analysis to validate out-of-sample robustness

• Portfolio construction using inversely correlated strategy presets

• VPS-based execution infrastructure for automated trading

• Automated capital rebalancing via a proprietary allocation model

Outcome
A production-ready, fully automated trading system with improved robustness, reduced overfitting risk, and scalable execution.

Problem
Charts Connect required a scalable trading platform that could securely connect web users, TradingView signals, and MetaTrader 5 execution while supporting future product expansion.

Solution
Nexo Mechanics led the initial platform build and core systems design, including:

• Development of the first production version of the Charts Connect website

• Design and implementation of smart authentication between the web platform and MetaTrader 5

• Integration of TradingView indicators and strategies into the execution workflow

• Construction of automated trading logic with structured risk management

• Ongoing development of AI-driven components for signal validation and system intelligence

Outcome
A production-grade trading platform with secure user authentication, automated execution, and a flexible architecture that enabled subsequent teams to extend and scale the product.

Charts Connect — Trading Infrastructure & Automation

End-to-end trading automation across MT5, TradingView, and AI systems

[0]

[1]

Anantaka Quant Capital — Quantitative Strategy Optimisation
Automation and infrastructure for systematic trading operations

[2]

The Trade Authority — TradingView Indicator Suite for Discretionary Traders
Comprehensive development of indicators and tools for enhanced trading analysis tailored for the TTA community of traders.

Problem
The client needed us to improve the cohesion and reliability a set of TradingView indicators that aim to help discretionary traders better understand market context, key levels, and volume dynamics.

Solution
We designed and built a suite of five TradingView indicators focused on clarity, usability, and consistency, including:

• Visualisation of key market levels such as daily highs/lows and prior session levels

• Volume-based tools to highlight participation and market interest

• Contextual overlays to support discretionary decision-making

• A unified design language to ensure the indicators work together as a coherent toolkit

Outcome
A polished, user-friendly indicator suite trusted by 1,400+ traders, strengthening the brand’s reputation and positioning the founder as a credible contributor within retail trading communities.

[3]

TradeWise Partners — Signal Automation & Telegram Bot Infrastructure
Real-time signal delivery and community automation

Pavamana — Secure Trading Signal Execution & Licensing Infrastructure
Protected signal execution across TradingView, MT5, and backend systems