Build a beginner crypto bot with no code on Coinrule. Start from templates, set risk limits, and automate trades on Binance, Coinbase, Kraken and Hyperliquid.
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Instead of chasing candles, a Beginner crypto bot on Coinrule helps you trade with simple, repeatable rules. Start with one market, one timeframe and one risk limit, then let automation handle execution on Binance or Coinbase.
New traders often fail by changing settings mid-trade. Coinrule keeps logic explicit: entry, exit and risk controls are written as conditions you review before going live. Example: buy when RSI drops below 30 on 1-hour candles, take profit at 3% and place a stop loss at 1.5%. Backtest the idea, paper trade it, then connect Kraken or OKX.
Templates give a safe starting point, but the real value is learning what each rule does. Adjust one variable at a time, like changing a 5% dip trigger to 3% or switching from 1-hour to 4-hour candles. Add a cooldown so the system cannot re-enter for 6 hours after a stop. Keep notes in the strategy description to compare results later.
Beginner-Friendly Guardrails
Risk controls are first-class settings, not an afterthought. Set max allocation like 20% per coin, a daily loss cap like 2%, and an emergency pause if BTC drops 8% in 2 hours. Use a trailing take profit, for example trail by 1.2% once price is up 4%. These guardrails keep early mistakes small.
Multi-Exchange, One Dashboard
Connect accounts via API keys and manage everything from one place. Run the same rules on KuCoin and Bybit, or separate spot and perps logic on Hyperliquid. Logs show every trigger, order and fill so you can audit behavior without watching charts all day.
Buy the Dips
Buys when price drops 5% from a 24-hour high and volume stays steady. Sells 3% above entry or exits if price falls another 2%. A simple way to practice disciplined entries.
Grid Trading
Places a grid of buy and sell orders inside a defined range. Rebalances as orders fill to capture chop. Add a stop if price breaks the range by 3% to reduce risk.
RSI Oversold Rebound
Enters when RSI falls below 30 on 4-hour candles. Takes profit when RSI rises above 55 or price gains 4%. Uses a 2% stop loss to cap downside.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross or a 3% trailing stop. Helps avoid weak signals in low liquidity.
Stop Loss and Trailing Take Profit
Opens a position on a simple trigger, then manages exits automatically. Uses a fixed stop like 1.5% and a trailing take profit like 1% once up 3%. Built to teach risk-first execution.
Buy the Dips
Buys when price drops 5% from a 24-hour high and volume stays steady. Sells 3% above entry or exits if price falls another 2%. A simple way to practice disciplined entries.
Grid Trading
Places a grid of buy and sell orders inside a defined range. Rebalances as orders fill to capture chop. Add a stop if price breaks the range by 3% to reduce risk.
RSI Oversold Rebound
Enters when RSI falls below 30 on 4-hour candles. Takes profit when RSI rises above 55 or price gains 4%. Uses a 2% stop loss to cap downside.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross or a 3% trailing stop. Helps avoid weak signals in low liquidity.
Stop Loss and Trailing Take Profit
Opens a position on a simple trigger, then manages exits automatically. Uses a fixed stop like 1.5% and a trailing take profit like 1% once up 3%. Built to teach risk-first execution.
DCA Accumulator
Splits buys into scheduled chunks, such as $50 daily or 2% weekly. Adds an extra buy if price drops 4% in a day. Reduces timing stress while building a position.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band on 1-hour candles. Sells at the middle band or after a 2.5% bounce. Exits after 24 hours if flat.
Supertrend Momentum
Enters when Supertrend flips bullish on 4-hour charts. Exits when it flips bearish or a trailing stop is hit. A clean trend template for signal confirmation.
Support and Resistance Bounce
Buys near a defined support zone after a rejection candle. Takes profit at the next resistance level or at 3%. Places a stop 1% below support to limit downside.
Volatility Breakout
Enters when price breaks above a recent high and ATR expands. Takes partial profit at 2% and trails the rest by 1.2%. Skips entries if spread exceeds your limit.
After you pick a template, run it in demo mode first. Start with one pair like BTC-USDT, set position size to 1% of balance, and limit trades to one entry per day. Review the log after 20-30 triggers to confirm signals match expectations. Only then scale slowly, for example from 1% to 2% per trade.
For most newcomers, spot trading is the safest place to learn execution and sizing. Once you understand how your rules behave, you can explore perps with smaller size and stricter stops. Keep leverage low, and consider a rule that disables perps entries when funding turns strongly positive. This staged approach reduces the chance that one bad setting wipes out weeks of progress.
Coinrule sits between your ideas and the exchange, turning conditions into orders. You keep custody: funds stay on Binance, Kraken or other connected venues while the platform uses API permissions you control. On-chain automation is available too, using smart accounts and routed execution when you want to trade on decentralized liquidity. See /automated-trading for the workflow overview.
Avoid stacking too many indicators at once. Do not widen stops after entry, and do not increase size to recover losses. Keep one objective per strategy: trend, mean reversion or accumulation. If results look random, reduce frequency and simplify conditions.
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Pick one liquid pair with tight spreads and deep order books. BTC and ETH are common starting points because signals behave more predictably than thin altcoins. Keep your timeframe consistent, like 1-hour or 4-hour candles, and avoid switching mid-test. If you want variety, clone the rule and change only the asset.
Use percentage sizing so exposure adapts as your balance changes. A simple guardrail is 1% per entry with a 1.5% stop, which limits the damage of a bad signal. Add a max open positions rule, such as no more than three concurrent trades. This helps avoid correlation surprises during market-wide drops.
Market orders fill fast but can slip during spikes. Limit orders reduce slippage but may miss entries if price moves away. Test both in demo mode and compare fill quality in the logs. If you trade frequently, fees can dominate results, so aim for fewer, higher-quality triggers.
Look at a meaningful sample size, not a single day. Track win rate, average win versus loss and maximum drawdown. If a rule fails, change one parameter and retest rather than rebuilding from scratch. Consistency comes from process, not constant reinvention.
Add filters only after you can explain what problem they solve. A volume filter can reduce false breakouts, and a volatility filter can avoid choppy ranges. Consider a time stop, such as exiting after 48 hours if price is flat, to free capital. Complexity should reduce risk or improve signal quality.
Start with one template, one pair and strict limits, then iterate using the trade log. Coinrule makes it easy to clone, test and refine strategies without code while keeping custody on your chosen venue. When you are ready, expand to more pairs and exchanges with the same disciplined framework.
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