Grid Ladders
Turn sideways price movement into a planned ladder of buys and sells, with guardrails for range, sizing, and exits.
Tell the AI agent you choose what you want to trade. It understands SurgePilot's strategy language, builds the blueprint, and hands it to a deterministic runtime for validation and execution.
You do not need to learn the strategy language first. Tell your agent the market behavior, risk rules, and confirmation signals you want. It builds the SurgePilot blueprint so the runtime can validate, backtest, and execute it deterministically.
"Create a strategy blueprint that buys dips during an uptrend, avoids messy sideways markets, takes profit when the bounce fades, and uses a moderate trade size."
Turn sideways price movement into a planned ladder of buys and sells, with guardrails for range, sizing, and exits.
Follow fresh shifts in direction with moving-average and MACD signals, then use clear exit rules to protect the trade.
Look for prices that have stretched too far, enter when the rebound setup appears, and step out as momentum recovers.
Build a position over time with scheduled entries, deeper dip buys, spend limits, profit targets, and capital pacing.
Watch live trade flow for pressure, liquidity, spread quality, and choppiness so fast bots can react before the next candle closes.
Add a live-market confirmation layer to grid, DCA, mean-reversion, momentum, or custom strategies before the bot acts.
Markets do not move at one speed. Some strategies should wait for candle closes. Some should react to live trade flow. Others need both. SurgePilot agents can build across every supported execution profile, while the runtime validates the choice before anything reaches live trading.
View Strategy Language ExamplesAn AI agent can turn a range-trading idea into planned levels, allocation, fills, and rebounds.
An AI agent can build candle-updated trend, pullback, DCA, and indicator-driven strategies.
An AI agent can build fast strategies that react to live pressure, spread, liquidity, and choppiness.
An AI agent can add tick-level confirmation to a base strategy before entries or exits execute.
Work with the AI agent that fits your style. Describe the idea, risk rules, confirmation signals, and trade behavior you want. The agent writes SurgePilot strategy language for the runtime, then SurgePilot validates and executes that strategy as a deterministic system.
strategy "Momentum Scalper" {
family signal
execution_profile tick_reactive
rules {
enter long when all {
microstructure_available
buy_pressure_score >= min_buy_pressure
liquidity_score >= min_liquidity
choppiness_score <= max_choppiness
} size capital_pct position_size_pct reason "Buying pressure is strong"
}
diagnostics {
show buy_pressure_score label "Buying Pressure"
}
}Trader-facing controls with safe defaults, labels, ranges, and optimizer hints.
SMA, EMA, RSI, MACD, Bollinger Bands, ADX, ATR, momentum, volatility, highs, and lows.
Strategy memory for armed setups, profit peaks, cooldowns, and counters.
Readable entry, exit, and update conditions for the behavior the bot should follow.
Live values shown in the product so traders can see what the bot is watching.
Marks which controls can be tuned safely in backtests or by the auto-optimizer.