STKLY Strategies turns trading ideas into clear, testable rules. Choose your stocks, define entries and exits, set position sizes, then explore the approach through backtesting and paper trading.
Choose your starting point
Start with one of eight editable templates covering trend crossovers, momentum, MACD, pullbacks, stochastic recovery, Bollinger-band recovery, volume breakouts and overbought reversals. Review the rules, choose an exchange and symbols, then configure allocation and stops.
Or create a blank draft, which starts with an editable RSI condition and default allocation. Draft creation uses no credits and starts no backtest. Templates are starting points, not proven results.
Build your rules
Select specific stocks, an exchange-wide universe, supported collections or a saved list. Strategies use completed daily prices, with configurable long and short entry and exit conditions.
Compare indicators against numbers or other indicators, detect crossovers, and combine conditions using ALL or ANY groups. Add, reorder or remove rules, and import supported analysis conditions for review.
Control stops and sizing
Choose trailing, confirmed-pivot or fixed recent high/low stops. Allocate a fixed percentage per position, or size positions using a risk percentage and stop distance, subject to an allocation cap. Stops follow the daily simulation model and cannot guarantee execution prices.
Test and refine
Save your draft and publish a fixed version for testing. Later edits leave existing runs unchanged. Your workspace keeps configurations, versions and run history together, with options to duplicate or archive strategies.
Configure a historical backtest and review its free credit estimate before confirming. Examine trades, drawdowns and consistency alongside returns.
Where available, paper trading follows your rules as new daily data arrives without placing broker trades. Compare paper runs with backtests using performance metrics, equity curves and warnings about differing assumptions. Simulated results do not establish future performance.
Upcoming articles will explore each template’s rules, settings and testing considerations.
