Build rule-based automation for equities with Coinrule. Use Tastytrade Bot Trading workflows to manage entries, exits and risk with clear logs and controls.
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Broker Connections
If you already trade manually, you can translate the same logic into Tastytrade Bot Trading rules on Coinrule and let the system execute with consistency. For example, buy 10 shares when price drops 3% from the 5-day high, then sell half at +4% and trail the rest by 2%. Connect brokers like Tastytrade, Alpaca, TradeStation and Tradier to run the same playbook across accounts.
Instead of chasing every candle, define a small set of triggers you can explain. You might enter when RSI(14) crosses below 30 on 1-hour candles and price is above the 200-day moving average. Add a time filter so the rule only runs during regular market hours. This keeps the automation focused on repeatable conditions, not noise.
Every strategy needs guardrails that do not depend on mood. Set a max position size like 5% of equity per ticker, a daily loss limit like 1.5%, and an account-level exposure cap for correlated names. Use stop loss and take profit orders that trigger automatically when thresholds hit. Review the execution log to see exactly why each order fired.
Broker-ready automation
On Coinrule you can manage several broker connections from one dashboard. Run separate rule sets for long-term ETFs and short-term swing trades. Pause, clone or schedule strategies so you can test changes without disrupting live execution. Alerts keep you informed when orders place, fail or hit limits.
Transparent execution logs
When something does not behave as expected, the platform shows the condition that triggered, the price used and the order outcome. That audit trail helps you iterate quickly and avoid hidden behavior. You can also simulate changes before going live, then roll them out to the active rule with one update.
Buy the Dips
Buys when price drops 5% from a 7-day high and RSI(14) is below 35. Adds once more if price drops another 3%. Exits at +6% or after 10 trading days, whichever comes first.
Grid Trading
Places staggered buy and sell orders inside a defined range, such as +/-4% around a reference price. Re-centers the grid weekly if price trends. Uses a hard stop if price breaks 6% beyond the range.
Moving Average Scalper
Enters when price crosses above MA20 on 15-minute candles and volume is above the 20-bar average. Exits on a close back below MA20 or a 1.2% take profit. Adds a 0.8% stop loss for fast control.
Optimised RSI and MA Strategy
Buys when RSI(14) rises back above 30 while price stays above MA200 on daily candles. Sells when RSI exceeds 65 or price closes below MA50. Designed to avoid fighting long downtrends.
Stop Loss and Trailing Take Profit
Opens a position on a simple trigger, then manages it with a fixed 2% stop loss. Once profit reaches 3%, switches to a 1.5% trailing take profit. Helps lock gains while letting winners run.
Buy the Dips
Buys when price drops 5% from a 7-day high and RSI(14) is below 35. Adds once more if price drops another 3%. Exits at +6% or after 10 trading days, whichever comes first.
Grid Trading
Places staggered buy and sell orders inside a defined range, such as +/-4% around a reference price. Re-centers the grid weekly if price trends. Uses a hard stop if price breaks 6% beyond the range.
Moving Average Scalper
Enters when price crosses above MA20 on 15-minute candles and volume is above the 20-bar average. Exits on a close back below MA20 or a 1.2% take profit. Adds a 0.8% stop loss for fast control.
Optimised RSI and MA Strategy
Buys when RSI(14) rises back above 30 while price stays above MA200 on daily candles. Sells when RSI exceeds 65 or price closes below MA50. Designed to avoid fighting long downtrends.
Stop Loss and Trailing Take Profit
Opens a position on a simple trigger, then manages it with a fixed 2% stop loss. Once profit reaches 3%, switches to a 1.5% trailing take profit. Helps lock gains while letting winners run.
Supertrend Momentum
Enters when Supertrend flips bullish on 4-hour candles and price confirms with a higher close. Exits on the first bearish flip or a time stop after 14 candles. Adds a volatility-based stop using ATR.
MA Crossover with Volume Filter
Buys when MA50 crosses above MA200 and volume is 20% above its 30-day average. Exits when MA50 crosses back below MA200. Avoids low-liquidity signals that often whipsaw.
Range Bound Reversal
Buys near support when price touches the lower band of a 20-period Bollinger and RSI is below 40. Sells at the mid-band or when RSI reaches 55. Adds a tight stop 1.5% below support.
Portfolio Rebalance
Rebalances a basket back to target weights, such as 50% SPY, 30% QQQ and 20% IWM. Runs weekly and only trades if drift exceeds 2%. Keeps risk aligned without constant manual edits.
Opening Range Breakout
Defines the first 15 minutes as the opening range, then buys a break above the high with a 0.7% stop. Takes profit at 1.5% and stops trading after two attempts per day. Built for disciplined sessions.
Rather than replacing your broker, Coinrule sits on top as the rules layer and sends orders through your connected account. Use Tastytrade Bot Trading setups to standardize what you already do: entries, exits, sizing and safety checks. For instance, you can require two conditions before buying, like MA50 above MA200 and RSI below 35, then cap exposure to 3 positions at once. This makes your process easier to repeat and easier to review.
Start with one market, one timeframe and one exit plan. Pick the indicator, set the threshold, and define the order type and size. Then add a single risk rule, like a 2% stop loss or a max allocation per symbol. Once it behaves, duplicate it and adjust only one variable at a time. That approach keeps your automation understandable.
When volatility spikes, you want visibility, not surprises. Set alerts for fills, rejected orders and drawdown thresholds so you can intervene quickly. Review performance by strategy, not by gut feel, and keep notes on what changed and why. Over time you will build a library of rules you trust. See /automated-trading for more on systematic workflows.
Traders often split capital across accounts for different goals. Run long-term ETF rebalancing in one account and short-term swing rules in another. Keep the logic consistent while tailoring sizing and limits per account. This reduces operational friction when you scale.
Launch BotFAQ
Sophie M.
Marco P.
Priya K.
Jason C.
Lars H.
Valentina C.
Avoid stacking too many indicators at the start. Keep one entry trigger, one exit trigger and one risk rule, then expand. Do not change five variables after a losing week. Iterate slowly and keep a changelog.
Try a simple swing rule: buy when price closes above MA50 and RSI is under 45, then sell at +5% or stop at -2%. Or run a weekly rebalance where you only trade if allocation drift exceeds 2%. For breakouts, limit attempts to two trades per day to prevent overtrading.
Set notifications for fills and for when a strategy pauses due to limits. Review performance weekly, not every hour. Use the dashboard to spot concentration and correlated exposure. Consistency comes from process, not constant intervention.
Once a rule behaves, scale by adding instruments, not complexity. Increase size gradually, for example 10% per week, while keeping the same risk caps. Separate strategies by goal so you can turn one off without affecting the rest. This keeps your system resilient.
Explore templates to see how different indicators combine in real strategies. Read /trading-bots to understand how rules, alerts and execution fit together. If you prefer on-chain automation for crypto, see /defi-trading for the smart account approach. Keep your playbook organized and versioned.
Start with one strategy, one symbol and tight limits, then expand as you gain confidence. The goal is repeatable execution you can audit and improve. Build your first rule in minutes and refine it over time.
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