Building, Backtesting, and Optimizing Automated Strategies (StrategyQuant Platform Review)
The process of building, developing, researching, and backtesting algorithmic trading strategies—automated with just the click of a button.
StrategyQuant is an advanced strategy-building platform capable of backtesting and optimizing automated strategies through a unique and sophisticated framework. It requires no programming skills, and any automated strategy can be exported in MetaTrader, TradeStation, or NinjaTrader formats.
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Build thousands of distinct automated strategies from scratch
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Select from a wide variety of built-in strategies
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Backtest and optimize automated strategies using multiple tools and techniques
How StrategyQuant Works
StrategyQuant equips users with tools typically reserved for professional quants and hedge funds, enabling the creation of a diversified portfolio of trading strategies through a data-driven approach. Below are its key features:
StrategyQuant Basic Features:
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Automated strategy building without the need for programming skills
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Compatible with MetaTrader, TradeStation, and NinjaTrader platforms
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Includes over 40 indicators, patterns, candlestick formations, and more
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Four operational modes: building, retesting, improvement, and optimization
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Hundreds of prebuilt strategies covering a wide range of trading styles
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Supports 4 entry orders, 7 exit orders, and intelligent stop-loss mechanisms
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Entry types include Market, Stop, Limit, Reverse, Adaptive SL/PT, and Trailing Stops
Advanced Backtesting
StrategyQuant enables traders to generate and backtest thousands of combinations of entry/exit conditions, order types, and price levels to identify the best-performing automated strategies based on specific criteria (e.g., Return vs. Drawdown, Sharpe Ratio, etc.).
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Automated backtesting using a broad range of parameters
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Introduces randomness to simulate various market conditions
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Ideal re-optimization workflow (features two dedicated modules)
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Robustness testing to evaluate top strategies across all timeframes
Walk-Forward Optimization
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Monte Carlo techniques for assessing strategy quality (Monte Carlo testing helps determine whether a strategy can generate stable profits under real-market conditions)
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Build and re-test strategies for different markets or timeframes (add conditions and optimize accordingly)
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Extensive strategy filtering options (define expectations such as desired returns, maximum risk, profit factor, and other performance metrics)
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Built-in Walk-Forward Optimizer and Cluster Analysis tools (identify how strategies perform under regular optimization and determine the ideal timeframes for tuning parameters)
StrategyQuant Review Pros
- Advance strategy building via a very user-friendly interface, and hundreds of built-in strategies
- Four (4) modes (building, re-testing, improvement, optimization)
- The exported files may be used on multiple platforms (MetaTrader-4, Trade-Station, Ninja-Trader)
- Includes more than 40 indicators, patterns, candlesticks, etc.
- Automated backtesting using randomness and based on a wide variety of parameters
- Built-in walk-forward optimizer plus many other optimization tools (Monte Carlo etc.)
StrategyQuant Review Cons
- The basic license costs 1,290 USD
Free Trial
Use the following link to get a 14-day free fully-functional trial for StrategyQuant:
► Get the StrategyQuant 14-Day Free Fully Functional Trial from here...
■ StrategyQuant -Automated Trading Strategy Building
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