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StrategyQuant X is Windows desktop software sold as a one-off licence between roughly $1,290 and $4,900, aimed at generating and stress-testing strategies. TradeGrub covers most of that workflow in the browser at $5.99 a month.
Published list pricing at the time of the last review. Verify before purchasing.
| Platform | Free Tier | Paid Tiers | Ads on Free | Feature Gates |
|---|---|---|---|---|
| TradeGrub | Yes (full access) | Pro $5.99/mo ($4.99 yearly) | ✓ None | ✓ None |
| TradingView | Yes (limited) | $14.95 – $239.95/mo | × Yes | × Heavy |
| thinkorswim | Yes (with Schwab account) | Free (brokerage account required) | ✓ None | ✓ Minimal |
| Yahoo Finance | Yes (ads, limited) | Gold $39.95 – $49.95/mo | × Yes | × Heavy |
| Finviz | Yes (delayed) | $39.50/mo | × Yes | × Heavy |
| StockCharts | No (trial only) | $24.95 – $59.95/mo | × — | × All paid |
| Bloomberg Terminal | No | ~$2,500/mo (~$30k/yr per seat) | ✓ None | ✓ All included |
| eSignal | No (trial only) | $58 – $359/mo + exchange fees | × — | × Tiered |
| Koyfin | Yes (limited) | $39 – $109/mo | ✓ None | × Heavy |
| Sentieo (AlphaSense) | No | ~$500+/mo per seat | ✓ None | × Tiered |
| FactSet | No | ~$12,000+/yr per seat | ✓ None | × Modular |
| YCharts | No (trial only) | $300 – $600/mo | × — | × Tiered |
62 capabilities across 9 categories, against a different field: dedicated backtesting frameworks and cloud quant platforms rather than charting products. Only TradingView appears in both tables.
| Feature | TradeGrub | StrategyQuant |
|---|---|---|
| Order Types | ||
| Market orders | ✓ | ✓ |
| Limit orders | ✓ | ✓ |
| Stop orders | ✓ | ✓ |
| Stop-limit orders | ✓ | ✓ |
| Trailing stop | ✓ | ✓ |
| Bracket / OCO orders | ✓ | ✓ |
| Position Management | ||
| Long & short | ✓ | ✓ |
| Long-only mode | ✓ | ✓ |
| Pyramiding / scaling in | ✓ | × |
| Multiple concurrent positions | × | ✓ |
| Partial fills / scaling out | ✓ | × |
| Open position tracking (unrealized) | ✓ | ✓ |
| Position Sizing & Risk | ||
| Fixed % of equity | ✓ | ✓ |
| Kelly criterion sizing | ✓ | × |
| Volatility-target sizing | ✓ | ✓ |
| Risk parity | ✓ | × |
| Max loss % cap | ✓ | ✓ |
| Margin / leverage model | ✓ | ✓ |
| Cost Models | ||
| Flat commission | ✓ | ✓ |
| Slippage (bps) | ✓ | ✓ |
| Percentage-based commission | ✓ | ✓ |
| Spread / market-impact model | ✓ | ✓ |
| Data & Multi-Asset | ||
| Daily bars | ✓ | ✓ |
| Intraday (1m-4h) | ✓ | ✓ |
| Tick-level data | × | ✓ |
| Multi-asset portfolio | × | ✓ |
| Multi-timeframe | ✓ | ✓ |
| Deep history (15k+ bars) | ✓ | ✓ |
| Long-Range M1 Backtesting (multi-year intraday) | × | × |
| Metrics & Analytics | ||
| Sharpe / Sortino / Calmar | ✓ | ✓ |
| MAE / MFE per trade | ✓ | ✓ |
| Monte Carlo simulation | ✓ | ✓ |
| Walk-forward analysis | ✓ | ✓ |
| Walk-forward matrix (cluster analysis) | × | ✓ |
| Regime detection | ✓ | × |
| Strategy DNA / confidence score | ✓ | × |
| Stress scenarios | ✓ | ✓ |
| VaR / CVaR | ✓ | × |
| Benchmark alpha / beta / IR | ✓ | × |
| Monthly P&L heatmap | ✓ | ✓ |
| Optimization | ||
| Grid / exhaustive search | ✓ | ✓ |
| Genetic / Bayesian optimizer | ✓ | ✓ |
| Automated strategy generation (genetic programming) | × | ✓ |
| Fragility heatmap | ✓ | ✓ |
| Visualization & UX | ||
| Equity curve overlay on chart | ✓ | × |
| Trade markers on price chart | ✓ | ✓ |
| Interactive trade replay | ✓ | × |
| No-code GUI configuration | ✓ | ✓ |
| "What-If" trade editor | ✓ | × |
| Decision journal | ✓ | × |
| Trade duration analysis | ✓ | ✓ |
| Day / hour-of-week P&L breakdown | ✓ | × |
| Cumulative P&L + drawdown charts | ✓ | ✓ |
| Long / short trade split | ✓ | ✓ |
| Trade CSV export | ✓ | ✓ |
| Shareable backtest snapshots | × | × |
| Free backtesting | ✓ | × |
| Zero-install (browser-based) | ✓ | × |
| Execution & Live Trading | ||
| Live trading bridge | P | ✓ |
| Strategy source export (MT4/MT5/cTrader/TradeStation) | × | ✓ |
| Alerts / webhooks from signals | ✓ | × |
| WebWorker-based execution | ✓ | × |
VectorBT, Backtrader, Zipline, and Bt are free and open source, but they are libraries rather than products: they require Python and self-hosting, and none of them ship a chart. TradeGrub runs the same class of backtest in the browser.
↑ Back to topOf 62 capabilities compared, TradeGrub and StrategyQuant both cover 36. TradeGrub adds 17 that StrategyQuant does not. StrategyQuant covers 6 that TradeGrub does not.
pyramiding / scaling in, partial fills / scaling out, kelly criterion sizing, risk parity, regime detection, strategy dna / confidence score, var / cvar, benchmark alpha / beta / ir, equity curve overlay on chart and interactive trade replay, and 7 more.
multiple concurrent positions, tick-level data, multi-asset portfolio, walk-forward matrix (cluster analysis), automated strategy generation (genetic programming) and strategy source export (mt4/mt5/ctrader/tradestation). These are the honest reasons to stay on StrategyQuant; several are on the roadmap below.
This page covers the comparison StrategyQuant competes in. Separate tables compare 177 charting and trading capabilities and 29 trading platform capabilities across different fields of platforms.
See the charting and trading comparison →See the trading platform comparison →Every link below shows this same comparison, filtered to that platform.
No. The backtester runs in the browser with nothing to install and no environment to maintain. Strategies can be written in Python, in a Pine-compatible dialect, or built with no code at all in the visual strategy builder.
Automated strategy generation is on the roadmap. What ships today is the stress-testing half of that workflow: a genetic optimizer, parameter sweeps, Monte Carlo simulation, a fragility heatmap, and a strategy confidence score.
Not yet. Strategy export to MT4 and MT5 is on the roadmap. Strategies can be exported as code and run through the platform own broker integrations today.
Yes. The free tier includes all 306 indicators, 87 drawing tools, 96 pattern detectors, unlimited alerts, and backtesting, with no ads and no per-chart indicator caps. Pro at $5.99 per month, or $4.99 billed yearly, adds the TradeGrub data feed, cloud sync, and server-side alert evaluation.
Feature counts for TradeGrub are read directly from the product registries rather than from marketing copy. Competitor rows reflect publicly documented capabilities and published pricing at the time of the last review, and pricing in particular changes often, so treat the other columns as a starting point and verify anything you are about to make a purchase decision on.