Custom Algorithms
Tailored trading algorithms that match your exact strategy requirements.
Professional trading platforms and automation tools. MT4/MT5 expert advisors, TradingView indicators, and custom trading bots.
Agreed scope · Reviewable milestones · Documented handover

MT4/MT5 Development
TradingView Scripts
Custom Trading Bots
Algorithmic Trading
As a specialist MT4 expert advisor developer, we build sophisticated trading solutions that automate your strategies and give you an edge in the markets. From MT4/MT5 expert advisors to custom TradingView indicators and algorithmic trading bots, we build tools that execute with precision — forward-tested before a single live trade.
Tailored trading algorithms that match your exact strategy requirements.
Real-time analytics and performance tracking dashboards.
Built-in risk controls, stop-losses, and position sizing.
Seamless integration with major brokers and trading platforms.
24/7 automated trade execution with zero emotional interference.
Comprehensive backtesting with historical data analysis.
Our trading software development service builds MT4 and MT5 expert advisors, custom indicators, and algorithmic trading bots. Full trading software development from strategy to backtesting to supervised live deployment, with full source-code ownership.
Trading software development is one of the most technically demanding disciplines in software engineering. At Viprasol, we have spent years refining our approach to building robust, reliable trading systems that perform under real market conditions. Unlike typical software projects where a bug means a broken button, a bug in trading software means lost capital. That fundamental difference shapes everything we do — from how we architect systems to how we test them.
Our team specialises in MetaTrader 4 and MetaTrader 5 expert advisor development, TradingView Pine Script indicators, and custom algorithmic trading platforms built on modern tech stacks. We have delivered over 50 trading systems ranging from simple moving average crossover EAs to complex multi-timeframe, multi-asset portfolio management systems with dynamic position sizing and correlation-based risk controls.
Every trading system we build goes through a rigorous validation pipeline. We start with strategy feasibility analysis — not every trading idea deserves to be automated. Some strategies rely on discretionary judgment that simply cannot be codified. We will tell you honestly if your strategy is better suited for manual execution. If it passes the feasibility check, we move into formal specification, backtesting with walk-forward analysis, Monte Carlo simulation, and finally forward testing on demo accounts before any real capital is at risk.
We also build supporting infrastructure: trade copiers for managing multiple accounts, risk management overlays that enforce maximum drawdown limits, real-time monitoring dashboards, and automated reporting systems that generate daily and weekly performance summaries. For prop firm traders, we build EAs that are specifically compliant with firm rules — respecting daily loss limits, maximum position sizes, and trading hour restrictions.
Our clients include independent retail traders, small hedge funds, proprietary trading firms, and fintech startups building trading platforms for their end users. We understand that each client segment has different needs — a retail trader needs simplicity and reliability, while a hedge fund needs institutional-grade infrastructure with redundancy and failover capabilities.
We agree the requirements and review working milestones together. The process below is adapted to the systems, testing and operating needs of your project.
Before writing a single line of code, We ask: is this strategy actually automation-worthy? Many strategies lose their edge when automated due to slippage, latency, or execution noise. We will give you an honest answer — even if it means less work for me.
This is the most critical phase. We nail the exact entry/exit conditions, position sizing rules, and — most importantly — the kill switches. A max-drawdown circuit breaker and a hard stop-loss are non-negotiable. We have fixed too many broken EAs that had neither.
We code the EA and run it against 3+ years of historical tick data. But We also actively look for curve-fitting — if the strategy only works on the exact data it was tested on, it will fail live. We'd rather tell you that now than after you've gone live.
Every EA We build runs on a demo account for at least 2–4 weeks in live market conditions before touching real money. Forward tests reveal the truth.
Live deployment with broker integration. We monitor the first week of live trading closely — watching for unexpected behaviour, requotes, and edge cases that only show up with real execution. After that, you have full ownership with documentation on how to manage it.
Share the workflow you want to improve, the platforms you use and any existing code or examples. We’ll work through the requirements, dependencies and acceptance checks with you before proposing a build.
Each custom project is quoted individually. Hosting, external services and ongoing maintenance are made clear in the agreed scope.
Talk through your requirementsAnswers to the questions that help define your project.
Typically 3–6 weeks depending on strategy complexity. A simple moving average crossover EA takes around 2 weeks. A multi-strategy portfolio with a full risk engine and kill switches takes 6–8 weeks. We'll give you a specific estimate after reviewing your strategy.
Never. Every EA we deliver runs on a demo account for at least 2–4 weeks in live market conditions before we discuss going live. Backtests lie — forward tests on a demo show you what actually happens. This step is non-negotiable.
MT4, MT5, TradingView Pine Script, and custom Python bots for crypto exchanges (Binance, Alpaca, Interactive Brokers). We'll advise on the right platform for your strategy during the initial call.
30 days of post-delivery support is included with every project. We'll fix bugs, adjust parameters, and investigate unexpected behaviour at no extra cost. After that, monthly maintenance retainers are available.
Yes, always. Strategy confidentiality is non-negotiable in this space. We sign before any strategy details are shared.
Sometimes. We'll do a free code audit first and give you an honest assessment — is it fixable, or does it need a rebuild? If it's a total mess, we'll tell you that too.
We review your requirements, integrations and delivery scope before preparing a project-specific quote. The proposal sets out the work, milestones and any ongoing costs. Changes are discussed and agreed before additional work begins.
We are specialist trading software developers, not generalists who happen to take on trading projects. Our entire team understands financial markets, order types, execution mechanics, and the subtle differences between backtesting performance and live trading reality.
Every EA and trading bot we deliver comes with comprehensive documentation, source code ownership, and 30 days of post-delivery support. We do not lock you into proprietary systems or ongoing subscription fees for software you have already paid for.
We insist on forward testing before live deployment. This is non-negotiable. Backtests can be misleading due to curve fitting, look-ahead bias, and unrealistic fill assumptions. Forward testing reveals the truth about a strategy performance under live market conditions.
Our pricing is transparent and fixed. We quote a price, we deliver, and there are no hidden fees. If scope changes during development, we discuss it openly and agree on adjustments before proceeding.
We have a proven track record with over 50 trading systems delivered, a 5.0 star rating on Upwork, and multiple long-term client relationships spanning years. We earn repeat business through quality, not sales tactics.
Our trading software development methodology is built around one principle: protect the trader capital first, optimise returns second. We begin every engagement with a Strategy Reality Check — an honest assessment of whether the trading idea is suitable for automation. From there, we follow a structured five-phase process: specification, development, backtesting with walk-forward validation, forward testing on demo accounts, and finally a supervised live deployment with kill switches and risk controls in place. Throughout the process, we maintain open communication with daily or weekly progress updates, and we actively challenge assumptions that could lead to poor live performance. We would rather lose a project by being honest than deliver a system that loses money.
Tell us what you need from trading software. We’ll work through the scope and next steps together.