Treat bots like a portfolio system
Crypto Bots work best when you treat them like a portfolio, not isolated experiments. Run multiple strategies with clear allocations, cap total exposure, and review logs so iteration stays measurable.
Run Crypto Bots as a portfolio: templates for dips, grids and trends, plus allocation limits, logs and controls across Binance, Coinbase and OKX.

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Crypto Bots work best when you treat them like a portfolio, not isolated experiments. Run multiple strategies with clear allocations, cap total exposure, and review logs so iteration stays measurable.
Use different bots for different conditions: range grids in chop, trend filters in momentum, and controlled dip entries in pullbacks. Assign each bot a role so they do not fight each other.
Overlap is the hidden risk in multi-bot setups. Use allocation bands, maximum concurrent positions, cooldowns, and exposure caps to keep the system coordinated.
Portfolio-level guardrails
Set caps on exposure, trade frequency, and drawdown responses so bots stay disciplined during spikes. Pause one bot or pause all bots without losing your rule history.
Review and improve
Save versions, change one variable, and compare outcomes over time. For related pages, see /trading-bots and /bot-trading.
Buy the Dips
Accumulate after controlled pullbacks and take profit at preset levels. Use cooldowns to avoid overtrading in chop. A simple bot sleeve for portfolio-style automation.
Grid Trading
Run a grid on a liquid pair inside a defined range. Pause if conditions break. Useful for adding a range bot without constant monitoring.
Grid Trading In Range
Only run a grid while price stays inside support and resistance. Pause if trend filters flip. Helps keep range bots from fighting breakouts.
Moving Averages-Based Rebalancing
Rebalance a multi-coin portfolio to target weights on a schedule. Add drift thresholds so you do not churn fees. Good for long-term bot portfolios.
MFI Oversold and Overbought
Buy when MFI signals capitulation and sell when MFI becomes overbought. Add a time stop if momentum stalls. A straightforward signal bot for one allocation sleeve.
Buy the Dips
Accumulate after controlled pullbacks and take profit at preset levels. Use cooldowns to avoid overtrading in chop. A simple bot sleeve for portfolio-style automation.
Grid Trading
Run a grid on a liquid pair inside a defined range. Pause if conditions break. Useful for adding a range bot without constant monitoring.
Grid Trading In Range
Only run a grid while price stays inside support and resistance. Pause if trend filters flip. Helps keep range bots from fighting breakouts.
Moving Averages-Based Rebalancing
Rebalance a multi-coin portfolio to target weights on a schedule. Add drift thresholds so you do not churn fees. Good for long-term bot portfolios.
MFI Oversold and Overbought
Buy when MFI signals capitulation and sell when MFI becomes overbought. Add a time stop if momentum stalls. A straightforward signal bot for one allocation sleeve.
Dip Recovery TWAP & RSI
Scale in using TWAP after an oversold signal, then exit as RSI normalizes. Add a volatility filter to avoid news spikes. Smooths entries across portfolio bots.
Optimised RSI and MA Strategy
Buy when RSI is oversold while price stays above a long-term MA. Scale out as RSI recovers and protect gains with a stop. A disciplined rule set for volatile markets.
MACD Crossings
Enter when MACD crosses up after a pullback, then set take profit and a trailing stop. Exit when momentum fades. Keeps execution structured and measurable.
EMA Crossings with RSI
Enter on an EMA cross only when RSI confirms strength. Exit on crossback or trailing logic. Helps filter weak signals and reduce churn during chop.
Golden Cross Trading
Buy when the 50-day MA crosses above the 200-day MA, and exit on the reverse cross. Add a stop for protection. A classic trend bot for a core allocation.
More bots only helps if the system stays understandable. Keep each bot simple, enforce portfolio limits, and review results weekly so you improve steadily instead of chasing noise.
Assign each bot a clear budget and purpose. When allocations are explicit, you avoid accidental concentration and keep your portfolio risk aligned with your plan.
Save versions before edits and change one variable at a time. That keeps experiments clean and makes performance comparisons meaningful.



Pause bots during major news, then resume when volatility settles. You keep control without rewriting your entire setup.
Build BotFAQ

Decide how often bots should check: faster for active setups, slower for calmer investing. Keep the cadence stable so results are comparable.

Keep conditions simple: one filter, one trigger, one exit plan. Too many signals can create fragility and constant tweaking.

If you cannot explain your maximum risk, add limits until you can. Constraints make automation easier to trust.
A single dashboard for alerts, logs, and exposure helps you stay consistent across many strategies. It also makes reviews faster and more honest.
Review logs weekly and change one variable. Routine improvements beat reactive edits after one trade.
Launch one bot first, then add a second after review. Gradual scaling keeps automation understandable and manageable.
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