Strategy Genie
Strategy Genie —
Complete an Investment Questionnaire and Quickly Build Your Own Strategy
Haven’t studied technical indicators? Can’t read market trends? Can’t code? Even beginners can start quant trading.
How It Works
What Is Strategy Genie?
Inside the app, Strategy Genie works in five steps:
- Choose your trading goal — for example a stable, medium-risk, high-return, trend-following or swing trading strategy. The AI analyses based on your goal.
- Set your risk preference — conservative, moderate or aggressive. The strategy design adjusts to your risk settings.
- AI generates the strategy — Strategy Genie analyses the market, screens instruments, generates strategies and optimizes parameters. You don’t need to write any code.
- Automatic backtesting — each generated strategy is backtested automatically, showing total return, maximum drawdown, win rate, number of trades and risk-reward ratio.
- Deploy to MT5 — once you confirm a strategy, MASQuant packages it, generates the executable file and connects it to MT5.
Core Features
Strategy Genie Core Features
Generates suitable trading strategies based on your return goals, risk appetite, current market conditions and instrument characteristics.
Based on your investment preferences, you get a range of distinct strategies to choose from
Strategy Genie evolves with your strategies, keeping your saved strategies up to date and continuously monitoring how well they fit the market
Compare the performance and risk of high-, medium- and low-frequency trading strategies to help you choose a suitable investment strategy, while strictly limiting the number of strategy executions in live trading
Validate a new strategy’s profit and loss potential and risks with historical data, so you can evaluate its win rate, expected value and maximum drawdown before committing capital, instead of relying on intuition or luck and taking unnecessary losses. Backtests support dynamic charts to help you check strategy stability and see where to optimize.
Investment Goal Analysis
AI Multi-Strategy Generation
Strategy Health Monitoring
Trading Frequency Analysis
Historical Backtest Validation
Strategy Genie
Start Trading in Three Steps
1. Sign up for a MASQuant account and choose a plan
2. Fill out the Strategy Genie questionnaire and download the strategy execution file you choose
3. Connect to your broker’s MT5 account and start automated trading
1. Sign up for a MASQuant account and choose a plan
2. Fill out the Strategy Genie questionnaire and download the strategy execution file you choose
3. Connect to your broker’s MT5 account and start automated trading
Validate every trading strategy under conditions closer to the real market
MASQuant Backtest Engine
Closer to the real market — validate every trading strategy
MASQuant Backtest Engine
MASQuant has a built-in professional backtesting engine that integrates historical data, real-time market data, and demo trading, so you can fully validate a strategy under near-real market conditions before you deploy it.
MASQuant Backtest Engine
Core Features
Data Sources and Security Management
Built on compliance, information security, and transparency, MASQuant is an international quant trading platform that investors, strategy developers, trading teams, and B2B partners can use with peace of mind.
Supports Major Brokers
European and Global Exchange Data Support
MASQuant currently integrates financial market data through the MT5 environment.
Supports major brokers worldwide
Supported Brokers
MASQuant Platform — Supports 90% of Brokers Worldwide
MASQuant Platform —
Supports 90% of Brokers Worldwide
Supports 90% of brokers worldwide — and many more than we can list here
Supported Instruments
The MASQuant Platform Supports Major CFD Instruments
EURUSD
GBPUSD
AUDUSD
USDCAD
USDCHF
NZDUSD
EURGBP
XAUUSD
More instruments are being added…
Supported Markets
MASQuant Platform
Supported Market Types
Enterprise-Grade Security
We use high-standard, enterprise-grade information security: we never trade on your behalf, never transmit sensitive data, and never access your account. Every trade and action is completed under your control.
System Requirements
Currently Windows only: MASQuant’s trading features run only on Windows computers. These include downloading strategy execution files, connecting to MT5, setting up automated trading, and executing strategies.
Use a Windows PC for the Following Features
Currently Not Supported
MASQuant Will Keep Evaluating Support for More Platforms
To use strategy execution, MT5 connection, and automated trading, you'll need a Windows computer for installation, setup, and operation. The MASQuant team will keep evaluating support for more platforms and will announce separately if macOS or other systems are supported in the future.
FAQ
Frequently Asked Questions
Strategy Genie FAQ
Who is Strategy Genie for?
Strategy Genie is designed for users who are new to quantitative trading, aren't yet familiar with technical indicators, or simply don't want to write trading logic from scratch.
You start by describing your return goals, risk tolerance, and trading needs in a questionnaire, and the system helps generate a strategy direction you can then backtest and evaluate further.
You start by describing your return goals, risk tolerance, and trading needs in a questionnaire, and the system helps generate a strategy direction you can then backtest and evaluate further.
How does Strategy Genie generate a strategy after I fill out the questionnaire?
Strategy Genie generates strategy options worth further evaluation based on the investment goals, risk preferences, market conditions, and instrument characteristics you provide.
Once generated, we recommend running a backtest first — reviewing win rate, returns, maximum drawdown, and risk behaviour — before deciding whether to move on to demo trading or deployment.
Once generated, we recommend running a backtest first — reviewing win rate, returns, maximum drawdown, and risk behaviour — before deciding whether to move on to demo trading or deployment.
I don't understand technical indicators — can I still use Strategy Genie?
Yes. A core design goal of Strategy Genie is to let users without a programming background, or who aren't familiar with technical indicators, still establish a strategy direction starting from the needs questionnaire.
That said, before any live deployment we still recommend reading the backtest report and risk metrics to confirm the strategy's behaviour matches your own risk tolerance.
That said, before any live deployment we still recommend reading the backtest report and risk metrics to confirm the strategy's behaviour matches your own risk tolerance.
What is Strategy Health Monitoring?
Strategy Health Monitoring helps you observe whether a strategy remains relevant as market conditions change.
It serves as a prompt for adjusting and reassessing your strategy — it does not guarantee that the strategy will maintain the same performance in future markets.
It serves as a prompt for adjusting and reassessing your strategy — it does not guarantee that the strategy will maintain the same performance in future markets.
Can a Strategy Genie strategy go from backtesting to demo or live trading?
Yes — following the platform's supported workflow, you can complete strategy creation and backtesting first, then move into demo trading; only once the results meet your needs would you evaluate deploying to a live trading environment.
This workflow reduces the gap between testing and deployment, though it does not eliminate market risk.
This workflow reduces the gap between testing and deployment, though it does not eliminate market risk.
Can I manage multiple strategies at the same time?
Strategy Genie supports cloud-based management of multiple strategies, making it easy to compare backtest results, risk profiles, and ongoing status across strategies.
For the exact number of strategies you can manage, execution quotas, and feature limits, please refer to your current plan and product version.
For the exact number of strategies you can manage, execution quotas, and feature limits, please refer to your current plan and product version.
How does Strategy Genie reduce the problem of strategies that look good in backtests but fail in live trading?
Strategy Genie uses backtesting, demo trading, and Strategy Health Monitoring to help you check, before deployment, whether a strategy is overly dependent on specific historical data.
However, no backtest can guarantee future performance, so it still needs to be evaluated alongside risk-control settings and demo testing.
However, no backtest can guarantee future performance, so it still needs to be evaluated alongside risk-control settings and demo testing.
I'm new to Strategy Genie — where should I start?
We recommend completing three steps first:
1. Register for a MASQuant account and choose a plan
2. Fill out the Strategy Genie questionnaire to get a strategy direction you can evaluate
3. Run backtests and demo tests before deciding whether to connect an MT5 account for deployment
1. Register for a MASQuant account and choose a plan
2. Fill out the Strategy Genie questionnaire to get a strategy direction you can evaluate
3. Run backtests and demo tests before deciding whether to connect an MT5 account for deployment
Do I need an MT5 account before using Strategy Genie?
Not necessarily. If you're just building and backtesting strategies, you can start with a MASQuant account alone.
You'll only need a usable MT5 account once you're ready to deploy to a demo or live trading environment; set it up by following the platform's process.
You'll only need a usable MT5 account once you're ready to deploy to a demo or live trading environment; set it up by following the platform's process.
About the Backtest Engine
What is the MASQuant Backtest Engine?
The MASQuant Backtest Engine validates strategy performance under near-real market conditions before deployment, using historical data, live-market logic, and simulated trading flows.
It's not just a historical performance readout — it gives you a consistent workflow to manage strategies all the way from generation and backtesting through demo trading, deployment, and performance tracking.
It's not just a historical performance readout — it gives you a consistent workflow to manage strategies all the way from generation and backtesting through demo trading, deployment, and performance tracking.
How is MASQuant backtesting different from just looking at past performance?
Standard historical performance is mostly a backward-looking snapshot; the MASQuant Backtest Engine instead brings data integration, format conversion, technical-indicator calculation, the trading model, simulated order execution, and simulated fills together in a single framework.
This lets a strategy be validated, before deployment, in a way that more closely mirrors the real trading process.
This lets a strategy be validated, before deployment, in a way that more closely mirrors the real trading process.
Why should backtesting and live trading use a unified trading architecture?
When backtesting and live trading use different data-processing methods or different execution pipelines, a strategy can show a performance gap once it goes live.
MASQuant routes both historical data and live market data through the same data-integration pipeline before format conversion and indicator calculation, narrowing the technical gap between backtest and live trading.
MASQuant routes both historical data and live market data through the same data-integration pipeline before format conversion and indicator calculation, narrowing the technical gap between backtest and live trading.
Will the backtest engine simulate trading behaviour?
MASQuant's backtest architecture doesn't just simulate price — it also incorporates simulated order execution and fill flows, helping strategy tests more closely mirror real trading execution.
For the exact fill logic, latency, slippage, and market-friction factors supported, please refer to the product version and official technical documentation.
For the exact fill logic, latency, slippage, and market-friction factors supported, please refer to the product version and official technical documentation.
What performance metrics can I see in a backtest?
Backtest performance data currently available includes number of trades, profit/loss ratio, win rate, maximum drawdown, total return, annualized cumulative return, and Sharpe ratio.
For the exact fields displayed, please refer to the current version's page.
For the exact fields displayed, please refer to the current version's page.
What does the backtest report contain?
A backtest report typically includes backtest data, performance metrics, risk metrics, charts, trade history, and a strategy summary.
This information helps you judge whether a strategy has long-term viability, rather than looking only at a single win or loss.
This information helps you judge whether a strategy has long-term viability, rather than looking only at a single win or loss.
How much historical data can I backtest?
Backtesting currently supports up to five years of historical data.
The available historical data range depends on the current product version, instrument support, and data source. For the exact backtestable period, please refer to what's shown in the product.
The available historical data range depends on the current product version, instrument support, and data source. For the exact backtestable period, please refer to what's shown in the product.
Can I backtest and optimize a strategy repeatedly?
Yes. Once a strategy is built, you can backtest it with historical data, then move into demo trading for validation, and only then evaluate whether to deploy it to a live trading environment.
This creates an iterative strategy-development workflow, letting you repeatedly test, adjust, and compare different strategy versions.
This creates an iterative strategy-development workflow, letting you repeatedly test, adjust, and compare different strategy versions.
Do I need to rewrite my trading code to go from backtesting to live deployment?
MASQuant builds backtesting, demo trading, and live trading on a single unified framework, specifically to reduce rewrite costs and process gaps as a strategy moves from testing to deployment.
The exact deployment method still depends on the product version, broker environment, and MT5 configuration.
The exact deployment method still depends on the product version, broker environment, and MT5 configuration.
How can I tell if a strategy is worth deploying?
At minimum, we recommend weighing all of the following: whether the backtest results are stable, whether the risk falls within an acceptable range, whether the instrument and market conditions match your expectations, whether your capital and risk tolerance are a good fit, and whether you're satisfied with the demo account test results.
If any of these remain unclear, we recommend holding off on live trading.
If any of these remain unclear, we recommend holding off on live trading.
Do backtest results mean I'll definitely make money in the future?
No, it does not. Historical performance, backtest data, and illustrative results are provided only to help you understand a strategy's logic and risk characteristics — they should not be taken as a guarantee of future performance.
Real markets remain subject to volatility, liquidity, slippage, broker execution conditions, and other factors beyond anyone's control.
Real markets remain subject to volatility, liquidity, slippage, broker execution conditions, and other factors beyond anyone's control.
What is the difference between backtesting and demo trading?
Backtesting uses historical data to examine how a strategy would have performed under specific past conditions; demo trading, by contrast, lets you get familiar with strategy execution and trading operations in an environment close to live markets.
The recommended order is: backtest first, then demo trade, and only then evaluate whether to move into live trading.
The recommended order is: backtest first, then demo trade, and only then evaluate whether to move into live trading.
What should I do if my backtest doesn't produce results?
Please first check that your strategy conditions are complete, that the instrument and data range are supported, and that your parameter settings are reasonable.
If the product interface offers a clear or reset function, you can also reset your strategy conditions and try again. Contact support if needed.
If the product interface offers a clear or reset function, you can also reset your strategy conditions and try again. Contact support if needed.