Design rule-based stock automation on Coinrule with backtests, alerts and risk controls. Connect brokers like Alpaca, TradeStation, Robinhood and Tradier in minutes.
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Instead of reacting to every candle, a stock trading bot on Coinrule can follow your plan with precise triggers and guardrails. For example, buy when price breaks yesterday high by 0.8% and volume is 1.5x the 20-day average, then place a 2% stop and a 4% take profit. You can run the same logic across multiple tickers and review every action in a clean activity log.
Your broker account stays in your name while the platform connects through secure integrations and permissions. Link Alpaca, TradeStation, Robinhood, Tradier or WeBull, then choose which symbols and order types each strategy can use. Set account-level limits like max position size, max daily loss and a global kill switch. This keeps automation disciplined even when markets move fast.
Traders start with proven templates, then adjust conditions to match their style and time horizon. You might combine a moving average trend filter with a pullback entry and a time stop, such as exiting after 10 trading days if momentum fades. The rule builder stays visual, so you can iterate quickly without spreadsheets or code. When you are ready, clone the rule for a watchlist and vary sizing per ticker.
Broker-ready automation
Run systematic strategies on equities and ETFs with order logic that fits market hours and liquidity. Schedule rules to trade only between 10:00 and 15:30 ET, avoid the open, or pause ahead of earnings. Add filters like spread limits and minimum average volume to reduce slippage. Get alerts before orders fire so you can approve or let it run hands-free.
Risk-first execution
Every rule can include layered protection like hard stops, trailing exits, cooldown timers and exposure caps. If a position gains 6%, you can trail by 2% and tighten to 1% once profit exceeds 10%. If three losses occur in a day, pause the strategy until the next session. These controls help keep execution consistent when emotions would normally take over.
Opening Range Breakout
Trades the first 15 minutes range. Buys on a break above the high with a 1.5% stop. Takes profit at 3% or exits on a close back inside the range.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above the 20-day average. Exits on the reverse cross or a 2% trailing stop. Works well on liquid large caps.
RSI Oversold Rebound
Buys when RSI(14) drops below 30 and price holds above a longer-term MA. Sells when RSI returns above 55 or after 7 trading days. Designed for mean-reversion swings.
Breakout + Retest
Waits for a breakout above resistance, then buys on a retest within 0.5% of the level. Places a stop 1.8% below the retest low. Takes profit at 2R or on momentum fade.
Stop Loss and Trailing Take Profit
Opens a position on your chosen signal, then manages risk automatically. Sets a fixed stop like 2% and trails profit by 1.5% once price is up 3%. Exits cleanly without manual monitoring.
Opening Range Breakout
Trades the first 15 minutes range. Buys on a break above the high with a 1.5% stop. Takes profit at 3% or exits on a close back inside the range.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above the 20-day average. Exits on the reverse cross or a 2% trailing stop. Works well on liquid large caps.
RSI Oversold Rebound
Buys when RSI(14) drops below 30 and price holds above a longer-term MA. Sells when RSI returns above 55 or after 7 trading days. Designed for mean-reversion swings.
Breakout + Retest
Waits for a breakout above resistance, then buys on a retest within 0.5% of the level. Places a stop 1.8% below the retest low. Takes profit at 2R or on momentum fade.
Stop Loss and Trailing Take Profit
Opens a position on your chosen signal, then manages risk automatically. Sets a fixed stop like 2% and trails profit by 1.5% once price is up 3%. Exits cleanly without manual monitoring.
Donchian Channel Turtle
Buys on a 20-day Donchian high breakout and adds only if trend persists. Exits on a 10-day low break or a volatility stop. A classic trend-following framework for longer holds.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI confirms weakness. Sells at the middle band or when RSI normalizes. Adds a time stop to avoid getting stuck in downtrends.
ATR Channel Breakout
Builds an ATR-based channel around a moving average. Enters when price closes above the upper band and volatility expands. Exits on a close below the midline or a 2x ATR stop.
Support and Resistance Bounce
Buys near a defined support zone when price rejects the level twice. Uses a tight stop 1% below support and targets the next resistance. Best for range-bound sessions and ETFs.
Portfolio Rebalance
Rebalances a basket back to target weights on a weekly or monthly schedule. Sells overweight positions and tops up underweights. Keeps risk aligned without constant manual adjustments.
Unlike rigid scripts, Coinrule lets you test ideas on historical data and refine them before risking capital. Try a rule like: if MA50 is above MA200 and price dips 3% in 5 days, buy 25% of your intended size, then add the remaining 75% only if price recovers 1%. Compare results across different tickers and market regimes. Once you like the behavior, deploy with small sizing and scale gradually.
Traders choose between intraday rules, swing systems and longer-term allocation logic. You can run a daily check at 15:55 ET to avoid midday noise, or scan every 30 minutes for pullbacks. Add a cooldown so the same symbol cannot re-enter for 2 days after an exit. This keeps the engine from overtrading during choppy periods.
On this platform you can separate strategies by account, risk bucket or objective. Run a conservative ETF rotation in one account and a higher-volatility momentum basket in another. Use watchlists to apply the same rule to 20 symbols while still enforcing per-position caps. Centralized reporting makes it easy to see what is working and what needs tuning.
Risk controls include real-time notifications, audit trails and manual overrides when conditions change. Get an alert when an order is placed, when a stop is moved, or when exposure hits a threshold. Pause a single rule, a symbol group, or everything at once. That transparency helps you trust systematic execution over time.
Launch BotFAQ
Nikos D.
Emily R.
Lars H.
Mei L.
Valentina C.
Brian S.
Every bot needs boundaries. Set max allocation per symbol, max open positions and a daily loss limit that pauses trading automatically. Add time-based exits so capital does not get trapped in dead trades. These features are designed to be used, not hidden in settings.
After each week, review which conditions triggered and whether slippage changed outcomes. Adjust one variable at a time, such as widening a stop from 1.5% to 2.2% or changing a filter from RSI 30 to RSI 28. Keep notes so you can revert quickly. This process turns trading into iteration rather than guesswork.
Choppy markets punish constant entries. Use regime checks like MA200 slope, ADX thresholds, or a simple rule that trades only when the index is above its 50-day average. Add a cooldown and a minimum move requirement, such as no new entry unless price moved 1% from the last signal. Fewer, higher-quality trades often improve consistency.
Start with one liquid ticker and a small size until execution feels predictable. Then clone the rule to a watchlist and apply per-symbol caps so one name cannot dominate risk. Use scheduled rebalancing to keep allocations near targets. This is how many users move from experiments to a stable system.
Transparency matters when real money is on the line. Preview conditions, see pending triggers and review the exact order actions before they fire. Alerts keep you informed without forcing you to stare at charts. When you want discretion, switch to confirmation mode for specific rules.
Pick one setup, define clear exits and run it for a full month without constant edits. A practical starting point is a trend filter plus a pullback entry, with a fixed stop and a trailing exit. Once the behavior is stable, expand to more symbols or add portfolio logic. Consistency comes from process.
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