Three complete strategies, each built entirely in the builder. Follow one end to end to see the pieces fit together, then change the market, the thresholds, or the indicators to make it yours.
Each recipe follows the same order every strategy does: create the shell, add indicators, write signals, set risk, then backtest. If any step is unfamiliar, the strategy builder, indicators, signals and risk management pages cover it in full.
The golden rule for signals: add the indicator first, then open the
Line dropdown in a condition to see its exact line name (like RSI.rsi).
Reference lines from the dropdown rather than typing them, so you can never
misname one.
Recipe 1 — RSI mean reversion#
Buy oversold, sell overbought. BTC/USDT, 1h.
- New Strategy — Name
RSI Mean Reversion, TickerBTC/USDT, Timeframe1h. - Indicators → Add Indicator —
RSI, length14. - Signals → Add Signal, name it
rsi. Then Add Rule twice:- Enter · long —
RSI.rsigoes above30. - Exit · long —
RSI.rsigoes above70.
- Enter · long —
- Risk Management → Set Stop Loss —
StopLossSimple,stoploss_pct-0.05(a 5% stop). - Run Backtest, then read the Reports tab.
The whole idea is on the entry: goes above 30 fires as price leaves
oversold, not while it sits there. Swap the levels to 25 / 75 to trade only
deeper extremes.
Recipe 2 — Bollinger Band breakout#
Enter as price breaks the upper band, exit back at the middle, trail the stop. ETH/USDT, 4h.
- New Strategy — Name
BB Breakout, TickerETH/USDT, Timeframe4h. - Indicators → Add Indicator —
BollingerBands, length20, standard deviation2.0. This publishesBollingerBands.bband_top,bband_midandbband_low. - Signals → Add Signal, name it
breakout. Add Rule twice:- Enter · long —
closegoes above Threshold lineBollingerBands.bband_top. - Exit · long —
closegoes below Threshold lineBollingerBands.bband_mid.
- Enter · long —
- Risk Management → Set Stop Loss —
StopLossTrailing,trailing_pct0.03. A trailing stop suits a breakout: it lets a run continue and only closes you out once price gives back 3%. - Run Backtest.
This is a trend-following idea, so expect a lower win rate than Recipe 1 but larger average winners. Read the profit factor, not just the win rate.
Recipe 3 — Trend entry gated by news sentiment#
Only take moving-average entries while the news flow is net-bullish. BTC/USDT, 1h. Combines a signal, a bias, and the news feed.
New Strategy — Name
Sentiment Trend, TickerBTC/USDT, Timeframe1h.Indicators → Add Indicator twice:
EMA, length50— publishesEMA.ema.NewsSentiment— publishesNewsSentiment.sentiment_score,NewsSentiment.article_count, and a few more. (There is a one-click banner on the Indicators tab to add it.)
Bias Generators → Add Bias Generator, name it
news_bias. Add Rule:- Bias long when
NewsSentiment.sentiment_scoreis greater or equal to0.2ANDNewsSentiment.article_countis greater or equal to2.
The second condition stops a single stray article from swinging the bias.
- Bias long when
Signals → Add Signal, name it
trend. Add Rule:- Enter · long —
closegoes above Threshold lineEMA.emaANDnews_biasequals1.
The moving-average cross is the event that fires the entry; the bias is the state that filters it.
- Enter · long —
Risk Management —
StopLossSimplestoploss_pct-0.04, and aTakeProfitSpreadthat banks half at +5% and the rest at +10%.Run Backtest.
This is the platform's core combination in miniature: a signal shaped by sentiment, which a hedge-fund Squad can then review before anything trades. See news and sentiment for what the sentiment lines mean and how they are scored.
Turn a good strategy into a grid#
Once a recipe backtests reasonably, do not stop at one setting — sweep the parameter you are least sure about to see whether the result is robust or lucky. From the strategy, create a grid template, set a range (say RSI length from 10 to 20), check the variation count against your plan limit, and run it. Look for a region of settings that all work, not a lone spike. Full detail in grid search.