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AI-powered backtesting platform. Describe your trading idea in natural language — AI formalizes it into a testable strategy.
Category: Technology
stratbase.ai9
Structured Data
9
Content Structure
7
Entity Clarity
10
E-E-A-T Signals
5
Technical AEO
8
AI Discoverability
Does AI generate trading strategies for me?
No. The AI assistant acts solely as a translator between your trading ideas and formal backtest configurations. You describe your concept in plain language — for example, 'buy when RSI crosses above 30 on the 1h chart' — and the AI converts it into precise indicator conditions, entry/exit rules, and risk parameters. It never suggests which assets to trade, when to enter or exit the market, or how much to risk. All trading decisions and responsibility remain entirely with you. This design ensures regulatory compliance and keeps the platform focused on strategy testing, not financial advice.
What markets are supported?
StratBase.ai supports four major market types. Crypto futures include 1700+ trading pairs from Binance and Bybit with leverage up to 125x, funding rate data, and open interest indicators. Crypto spot covers the same pairs without leverage for simpler strategy testing. Forex offers 27 major and cross pairs sourced from Dukascopy with pip-based calculations. US Stocks include 130+ large-cap symbols plus index, sector, and thematic ETFs via Alpaca Markets. Each market type has its own specific indicators and data characteristics. New instruments are added regularly as exchanges expand their offer
Can I keep my strategies private?
Yes. StratBase.ai offers three visibility levels for your backtests. Public strategies appear in the community catalog where other traders can view your results and learn from your approach. Private strategies are listed in the catalog but with hidden configuration details — others can see performance metrics but not your exact indicator settings, conditions, or risk parameters. Confidential strategies are completely hidden from the catalog and visible only to you. The Private plan ($99/mo) unlocks confidential visibility, ensuring your proprietary strategies remain fully protected. Free, Pro,
How fast are the backtests?
The backtesting engine is built in Rust for maximum performance. A typical backtest covering several years of 1-minute candle data completes in 3–7 seconds. For high-precision scalping strategies using 1-second data, processing takes slightly longer due to the larger dataset. Results are comprehensive: you get a complete trade log with entry/exit timestamps and prices, an interactive equity curve chart, and 20+ statistical metrics including ROI, Sharpe ratio, max drawdown, profit factor, win rate, average trade duration, and the composite StratBase Score. All results are stored permanently and
What indicators and patterns are available?
StratBase.ai includes 245+ technical indicators organized into six categories. Standard indicators (71) cover all classics — moving averages (SMA, EMA, WMA, DEMA, TEMA), oscillators (RSI, MACD, Stochastic, CCI, Williams %R), volatility measures (Bollinger Bands, ATR, Keltner Channels), and volume indicators (OBV, VWAP, MFI). Candlestick pattern recognition (61 patterns) detects formations like Doji, Hammer, Engulfing, and Morning Star automatically. Time filters (35) let you restrict trading to specific hours, days, or sessions. Price level indicators (34) track support/resistance zones. Pivot
How does the StratBase Score work?
StratBase Score is a proprietary composite metric designed to evaluate strategy quality holistically rather than by a single measure like ROI. It combines five key factors: return on investment (profitability), Sharpe ratio (risk-adjusted returns), maximum drawdown (worst-case loss), profit factor (gross profit divided by gross loss), and trade count (statistical significance). Each factor is weighted and normalized so you can fairly compare strategies across different instruments, timeframes, and market conditions. A score above 70 generally indicates a robust strategy, while scores below 40
What data sources are used?
Market data is sourced directly from major exchanges to ensure accuracy and completeness. For crypto, we collect OHLCV candle data from Binance, Bybit, OKX, Bitget, BingX, and Gate.io — covering both spot and futures markets. Futures-specific data includes funding rates, open interest snapshots, and long/short ratios collected every 4 hours. Forex data comes from Dukascopy, one of the most respected forex data providers, covering 27 major and cross pairs. US stock data is sourced from Alpaca Markets using their IEX feed. All data is stored in our PostgreSQL infrastructure with TimescaleDB for
How do I set up a grid strategy?
Grid trading is a built-in strategy mode in the configurator. To set it up, enable grid mode and configure the number of levels (how many additional entries to place), spacing between levels (as a percentage or fixed distance), and the order size for each level. When the price moves against your initial entry, the engine places additional entries at each grid level, effectively averaging down your position. The take-profit target automatically recalculates based on the new average entry price after each grid fill. Stop-loss is also computed from the average entry. This approach works well in r
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Scored by Engagemii on May 21, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/stratbase-ai
Cite this score: Engagemii (2026). "AEO Score for StratBase.ai." Retrieved from https://engagemii.com/aeo/brands/stratbase-ai
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