We build rule-based trading systems grounded in market structure
and AI — then test them, break them, fix them,
and put them to work in live markets.
We've been building trading tools since 2019 — a proprietary scripting language, custom Smart Money indicators, multi-provider AI integration, and a full execution platform, all running natively on MetaTrader 5. Everything gets tested in live markets because we trade with it ourselves. No demo-only prototypes. No theoretical frameworks. Real tools, real money, real results.
Three AI providers — Anthropic, OpenAI, and Gemini — are available to review trade setups against live market structure before execution. They analyse candlestick charts visually and cross-reference structural events like ChoCh breaks and liquidity sweeps. If the structure doesn't support the trade, it doesn't happen — no matter what the algorithm says.
Purpose-built algorithms that detect Change of Character breaks, map unmitigated Fair Value Gaps with real-time fill ratios, identify liquidity pool clusters where stop-losses accumulate, and project dynamic Fibonacci retracement zones — all updating tick-by-tick across multiple timeframes simultaneously. Not lagging indicators. Structural events, detected as they form.
EAsiTrader runs as a single Expert Advisor managing concurrent trades across multiple markets — each with independent strategy logic, risk rules, and AI oversight. It handles Market, Stop, Limit, and Stop-Limit orders, recovers positions automatically after disconnections, and provides real-time visual trade management directly on the chart. One EA. Every market. Full control.
Every strategy runs through tick-precise backtesting with variable spreads and dynamic commissions across multiple markets before it touches live capital. Scheduled optimisation runs refine parameters automatically. The system calculates equity curves, drawdown profiles, Sharpe ratios, consistency scores, and a composite performance index — turning raw ideas into strategies we trust with real money.
We build our own tools because we kept hitting the limits of what was available. Off-the-shelf indicators couldn't detect real market structure. Generic EAs couldn't express the logic we needed. So we built everything from scratch — and over seven years, that turned into a full custom stack with over 200,000 lines of MQL5.
Custom algorithms that detect and classify structural breaks (ChoCh) with age tracking, swept Fibonacci validation, and structural integrity scoring. Fair Value Gaps are identified with real-time mitigation ratios. Liquidity Pools map stop-loss cluster zones algorithmically. Every structural event is timestamped, graded, and made available to both EAsiScript rules and AI providers as verifiable JSON — no hallucination, no ambiguity.
Four distinct AI operating modes — from passive monitoring to fully autonomous execution. Each trade signal passes through multi-provider consensus checking with strict JSON schema validation. The AI receives actual chart images as PNG screenshots alongside structured market data, analyses both visually and numerically, and feeds accuracy history back into future prompts. If any provider flags a structural conflict, execution is blocked automatically.
A complete execution environment with global and per-market risk modes — Fixed Dollar, Percentage of Equity, or custom EAsiScript formulas. Trailing max-loss thresholds scale as the account grows. Built-in compliance monitoring enforces daily loss limits and profit targets for funded accounts. Automatic position recovery after platform restarts. It runs unattended across every configured market — one EA, one chart, full portfolio.
Top-down structural analysis that aligns higher-timeframe trend direction with lower-timeframe entry precision. EAsiScript functions can query indicator state across any timeframe — checking whether a ChoCh on the H4 supports a FVG entry on the M15, for example. Every execution decision is grounded in the broader structural narrative, not just the signal timeframe.
Tick-precise backtesting with realistic spread modelling and dynamic commissions, running concurrent multi-market tests from a single configuration. Scheduled optimisation runs execute unattended — the system refines itself overnight. Results include equity curves, drawdown analysis, Sharpe ratios, consistency scoring, and a composite performance index that tells you whether a strategy is genuinely robust or just curve-fitted.
Real-time performance dashboards tracking every open position, pending order, and risk exposure across all markets. Deep trade journaling captures the full context of every decision — what the indicators showed, what the AI recommended, and what actually happened. Post-trade analysis surfaces patterns in execution quality, timing, and structural accuracy that feed directly back into strategy refinement.
We treat trading like an engineering problem — something you can break down, model, test, and improve. Not guesswork, but structured thinking applied consistently over time.
Years of building and testing have reinforced one thing for us: markets move for reasons, and those reasons are structural. Liquidity sits at specific levels. Institutions leave footprints. Understanding this — deeply, mechanically — is where we think edge comes from.
Nothing goes live on conviction alone. Every strategy starts as a hypothesis, gets backtested, stress-tested, and only runs on real money once we're satisfied it holds up.
We don't trade on gut feel. If it can't be written as a rule and tested, it doesn't make it into a strategy.
Our edge comes from understanding the mechanics behind price — liquidity, structure breaks, imbalance, and institutional behaviour. Not patterns, but reasons.
Every system is a live hypothesis. Live data feeds back into research. Models are refined. Infrastructure improves. The process never stops.
"We're a family that builds trading systems. The better the systems get, the less we have to do ourselves — and that's the whole point."
After years of building, we've moved past experimenting and into something that actually works — real infrastructure, tested methods, and a clear idea of where we're going next.
The long-term goal is simple: systems that can trade across multiple markets and timeframes with minimal intervention. Not because we want to be an institution, but because good automation means we can focus on improving the tools instead of watching charts.
Every feature we ship, every strategy we validate, every bug we fix moves us a step closer. It's slow, honest work — and we're fine with that.
A look at what we've built — from execution to AI. Everything listed here is live and in daily use.
A complete algorithmic environment replacing generic platforms. Designed to cleanly handle complex logic, compounding risk, and live execution across multiple markets concurrently.
Our proprietary expression engine allows for the definition of advanced trading logic without traditional coding. It puts institutional-grade systemic control into the hands of the trader.
// London session + MA crossover + RSI confirmation
TimeOfDay(8,0,17,0) == 0 && Trend('MA1') == Bullish
&& Close(1) > MA1(1,0) && RSI1(1) > 50 ? Ask() : 0
// Adapts width to Stochastic momentum
Low(1) - (ATR1(1) * (Stoch1(1,0) < 50 ? 1 : 0.5))
// Scales with Bollinger Band expansion
OrderPrice() + (ATR1(1) * VAR1
* (BB1(1,1) > BB1(2,1) ? 1.5 : 1))
We integrated powerful Large Language Models (OpenAI, Anthropic, Gemini) through a strict, deterministic feedback loop. The AI analyses the market, but the system retains absolute execution authority.
// Natural language — sent directly to the AI provider
Trade Smart Money Concepts on USTEC (Nasdaq 100):
FVG entries, ChoCh confirmations, liquidity sweeps.
Open positions only after a ChoCh confirms direction
AND an unfilled FVG provides an entry zone near current price.
Set SL behind the FVG zone boundary.
Set TP at the next liquidity pool level.
Trail stops to break-even once position reaches 1R profit.
Close positions early if a ChoCh fires in the opposite direction.
Use 'reduced' risk when regime is 'volatile'.
Prefer trades aligned with the H1 trend direction.
// Only enter with 70%+ AI confidence
AiConfidence() > 0.7 && AiIsBullish() == 1
&& Signal('RSI1') == Bullish ? Ask() : 0
// Lot size scaled by AI assessment
AiCombinedMultiplier(1) * 0.01
We abandoned off-the-shelf indicators in favour of custom market structure algorithms that accurately detect the imbalances and structural shifts that drive institutional order flow.
Every strategy is deeply testable before it touches live capital. Our backtesting environment runs across multiple markets with realistic modelling to produce robust performance data.
Each of these components works independently and together. The result is a system with genuine depth — one that can be as automated or as manual as the situation demands, and that grows more capable the more data it accumulates.
The story of Northen Trading Labs is one of genuine, long-running obsession with markets, technology, and the discipline to bring the two together systematically.
Our journey began in the early 1980s when the intersection of computing and financial markets was just emerging. Before any investment was made, FT-100 share prices were manually transcribed from the Financial Times and ranked by performance — a simple but disciplined process that sparked a deep fascination with systematic market analysis and its potential for profit.
While professionally coding for the BBC Micro, Atari ST, and Commodore Amiga, thoughts frequently returned to trading. By the mid-1990s, that passion led to the creation of Market Trader — an innovative charting platform that brought advanced analysis tools to home users. Paired with the Market Eye plug-in card, it enabled real-time charting via live financial data received through a TV aerial. A remarkable piece of engineering for its time.
In 2019, focus returned to trading with renewed purpose — developing custom indicators for the MetaTrader platform. This time, four sons played a pivotal role: testing every feature, challenging assumptions, and providing the kind of honest, practical feedback that only someone who actually trades can give. Their input shaped what would become EAsiTrader and EAsiScript by 2023 — modern successors to the ideas first explored with Market Trader.
What sets Northen Trading Labs apart is that the software we build is software we use. We actively trade using our own tools — and our strategies have proven consistently profitable. This ensures that everything we build is practical, reliable, and grounded in real-world market conditions, not theoretical constructs.
From visual trade lines for manual execution to the full scripting power of EAsiScript, traders can move fluidly between manual and automated strategies. Risk management, multi-market execution, strategy optimisation — all within a single, coherent platform built by people who understand the pressure of a live trade.
"The development of our software has always been a family endeavour. What began as a fascination with numbers in a newspaper has grown, over forty years, into a serious technical operation — with the same values at its core: discipline, rigour, and a genuine love of the problem."— Rob Northen, Founder · December 2024
A founder with forty years of market and software experience, and a next generation of engineers and traders who’ve been stress-testing his ideas since they were old enough to read a chart.
Over four decades spanning BBC Micro coding, the creation of Market Trader in the 1990s, and today’s AI-driven systems. Treats trading as an engineering problem — always has.
Instrumental in developing and validating trading strategies. Brings a sharp eye for what works in live market conditions and has been testing every build since the early EAsiTrader days.
Focused on strategy research, platform quality, and ensuring every feature earns its place. His practical feedback has shaped the tools at every stage of development.
We're not selling anything. We're a family building trading tools for ourselves, sharing progress openly, and having honest conversations about what works and what doesn't. If that sounds interesting, come say hello.
EAsiTrader is available by invitation. If you're genuinely interested, reach out — we're happy to talk.