Tektii vs MetaTrader
MetaTrader (MT4/MT5) is a broker-integrated trading ecosystem used by millions of traders worldwide. Tektii is a language-agnostic backtesting and live trading engine. If you've outgrown MQL and want language freedom with independent tick-level data, here's how the two platforms compare.
The core difference
MetaTrader has been a staple of retail trading for over 20 years. It bundles charting, strategy development in MQL4/MQL5, backtesting via the Strategy Tester, and live execution through broker integrations. The trade-off for this convenience is lock-in: your strategies must be written in MQL, your data comes from your broker, the Strategy Tester runs separately from live execution, and your MQL code cannot run outside MetaTrader. The platform is free because brokers subsidise it — which also means your data quality and available instruments depend on which broker you use.
Tektii takes a different approach. Your strategy runs as a Docker container — write it in Python, Rust, C++, or any language — and communicates with the engine via WebSocket and REST APIs. The same engine runs your backtests and live trades, eliminating discrepancies between test and production. Strategies are portable Docker images that fit into CI/CD pipelines, and the platform runs on managed cloud infrastructure.
MetaTrader is a complete trading terminal, and its charting and broker connectivity remain useful. But for algorithmic strategy development, Tektii offers a fundamentally better workflow: write in any language, test on independent tick-level data, run the same engine in backtest and live, and deploy through CI/CD pipelines. If you are building strategies as software, Tektii is purpose-built for that approach.
Feature comparison
| Feature | Tektii | MetaTrader |
|---|---|---|
| Language Support | Any (Docker-native) | MQL4/MQL5 (Python integration via MT5 API) |
| Backtesting Engine | Unified — same engine for backtest and live | Strategy Tester — separate from live execution (results may differ) |
| Data Granularity | Tick-level | MT5: broker-dependent tick data; MT4: synthetic ticks from bars |
| Asset Classes | Forex today; equities, crypto, and futures on the roadmap | Multi-asset via MT5 (forex, stocks, futures — broker-dependent) |
| Infrastructure | Managed cloud (GCP) | Desktop, web, and mobile (VPS hosting available) |
| Strategy Packaging | Docker containers (portable, CI/CD-native) | .ex4/.ex5 compiled files |
| Analytics | Built-in suite (Sharpe, Sortino, drawdown, P&L) | Strategy Tester reports (MT5 adds Sharpe, optimisation, forward testing) |
| Version Control | Built-in version tree | File-based (external git optional) |
| Broker Integration | Alpaca, Binance — with more integrations shipping quarterly | Broker-provided (data quality varies by broker) |
| Community | Early access — dedicated community with direct founder access | MQL5 marketplace, signals, VPS, freelance network |
| Charting | Analytics dashboards (Tektii Boards) | Built-in charting with 100+ indicators |
| Pricing | Free tier, from $29/mo | Free (broker-subsidised) — you pay through the broker relationship |
When MQL becomes the constraint
MQL4 and MQL5 are capable languages purpose-built for trading within MetaTrader. But some workflows push beyond what the MQL ecosystem can support:
- •External libraries — MQL has limited access to ML frameworks (MT5 added basic ONNX support, and DLL imports are possible but cumbersome). If your strategy uses scikit-learn, PyTorch, or custom quantitative models natively, you need a general-purpose language.
- •Backtest-live consistency — MetaTrader's Strategy Tester simulates fills differently from live broker execution. Strategies that look profitable in backtest may behave differently live due to different slippage models and execution paths.
- •Language portability — MQL skills and code don't transfer outside MetaTrader. If you move to a different platform or want to share strategies with non-MQL developers, everything needs to be rewritten.
- •CI/CD workflows — MetaTrader has no built-in version control, automated testing, or deployment pipelines. Strategy management relies on file-based organisation with optional external tooling.
These are the constraints Tektii was designed to eliminate. If your strategy development has hit any of these walls, Tektii removes them.
When to choose Tektii
- •You want to write strategies in any language — Python, Rust, C++, or anything that runs in a Docker container
- •You need the same strategy code for backtest and live — no execution discrepancies
- •You want CI/CD-native workflows that treat strategies like software
- •You need full control over your runtime environment and dependencies
- •You want portable Docker strategies with no vendor lock-in
Where MetaTrader differs
- •MetaTrader bundles charting and mobile trading — many Tektii users keep MetaTrader for charting alongside Tektii for strategy development
- •If you have significant existing MQL code, migrating requires a rewrite of the integration layer (your core logic transfers)
- •MetaTrader connects to many brokers — Tektii is expanding broker integrations quarterly
- •MetaTrader is free through your broker, though you are limited to that broker's data and MQL as your only language
Frequently asked questions
What are the limitations of MetaTrader backtesting?
MetaTrader's Strategy Tester requires strategies to be written in MQL4 or MQL5 — you cannot backtest in Python, Rust, or other languages directly. The Strategy Tester runs as a separate component from live execution, which means backtest results may not perfectly reflect live trading behaviour. Data quality and available instruments depend entirely on your broker. MT4's tick data is synthetically generated from bars, and while MT5 can use real ticks, availability depends on what your broker provides.
Can I use Python instead of MQL for MetaTrader backtesting?
MT5 has Python integration for retrieving market data and executing trades, but the Strategy Tester itself requires MQL5 for backtesting. You cannot run a Python strategy through MetaTrader's backtesting engine. Tektii supports any language natively — your strategy runs as a Docker container, so Python, Rust, C++, or any language that fits your workflow works out of the box for both backtesting and live trading.
MetaTrader is free — why would I pay for Tektii?
MetaTrader is free because brokers subsidise it to attract traders — and in return, you are locked into MQL and your broker's data. Tektii's paid tiers buy you language freedom (write strategies in any language), a unified engine (same code for backtest and live), managed cloud infrastructure, tick-level data independent of any broker, and CI/CD-native workflows. For traders building serious algorithmic strategies, the ability to use any language, any library, and broker-independent data is worth far more than the subscription cost.
Can I migrate my MetaTrader strategies to Tektii?
MQL strategies would need to be rewritten since Tektii uses Docker containers with WebSocket and REST APIs. However, the core trading logic — your entry/exit rules, position sizing, risk management — translates directly. What changes is the integration layer: instead of MQL's OrderSend and iCustom functions, you'd use Tektii's API. Your MQL expertise in understanding market microstructure and strategy design carries over fully.
How does Tektii compare to MetaTrader for algorithmic trading?
MetaTrader is a trading terminal with charting, mobile apps, and broker connectivity built in. Tektii is purpose-built for algorithmic strategy development: any programming language, a unified engine where backtest and live code are identical, tick-level data independent of any broker, and CI/CD integration for automated deployment. MetaTrader tries to do everything within the MQL ecosystem; Tektii does one thing exceptionally well — turning your strategy code into a production trading system.
Does Tektii have charting like MetaTrader?
Tektii is a backtesting and execution engine, not a charting platform. It provides analytics dashboards (Tektii Boards) for analysing backtest results: equity curves, trade logs, performance metrics, and risk analytics. For charting and technical analysis, many Tektii users pair it with MetaTrader, TradingView, or other charting tools. Algorithmic traders typically separate their charting workflow from their strategy development workflow — Tektii handles the latter.
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