Automate tokenized equity strategies with Coinrule using rule-based entries, exits and risk controls. Test ideas, deploy fast and stay consistent.
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users building rules
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Venues Supported
Instead of reacting to every headline, Coinrule helps you systematize tokenized stocks trading with clear triggers, sizing and exits. Set rules like buy 2% when price drops 5% in 24 hours, then take profit at 6% or trail by 2%.
Traders start with templates, then adjust conditions to match their risk profile and time horizon. Use signals like RSI below 30 on 1-hour candles or a moving average cross on daily charts, and pair them with position caps. You can paper test, then go live with the same logic to reduce surprises. Logs and alerts make it easy to review what fired and why. See /automated-trading for the rule builder flow.
Every bot needs guardrails, especially when markets gap. Add a max allocation per asset, a portfolio drawdown stop, and time-based cool downs after a loss. For example, pause new entries for 12 hours if the last trade closed at -3% or worse. You can also ladder exits, such as selling 25% at +4%, 25% at +7%, then trailing the rest. These controls keep execution consistent when you are away from the screen.
Tokenized Equity Playbooks
Templates cover trend, mean reversion and breakout styles so you can start with a proven structure. Clone a strategy, change the timeframe, and swap indicators without rewriting everything. A common setup is MA20 crossing above MA50 with a volume filter, then a stop loss at 2.5%.
Execution And Monitoring
Once live, the system monitors conditions continuously and executes the same way each time. You get real-time alerts, a clear audit trail, and the ability to pause or duplicate rules for A/B testing. For stock access, connect brokers like Tradier, TradeStation, Robinhood and Charles Schwab depending on your setup.
Buy the Dips
Buys after a 4% pullback from the 24-hour high and confirms with RSI below 40. Sells 50% at +5% and trails the rest by 2%. Designed for choppy uptrends.
Grid Trading
Places staggered buys and sells inside a defined range, such as +/-6% around a reference price. Rebalances inventory as price oscillates. Best when volatility is steady.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is 20% above its 10-day average. Exits on crossback or a 3% stop. Aims to avoid weak breakouts.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35 on 4-hour candles. Takes profit at the mid band and sets a time stop after 48 hours. Targets snapbacks.
Volatility Breakout
Triggers a buy when price breaks the prior day high by 1% and ATR is rising. Sets an initial stop at 2x ATR and trails after +4%. Built for expansion moves.
Buy the Dips
Buys after a 4% pullback from the 24-hour high and confirms with RSI below 40. Sells 50% at +5% and trails the rest by 2%. Designed for choppy uptrends.
Grid Trading
Places staggered buys and sells inside a defined range, such as +/-6% around a reference price. Rebalances inventory as price oscillates. Best when volatility is steady.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is 20% above its 10-day average. Exits on crossback or a 3% stop. Aims to avoid weak breakouts.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35 on 4-hour candles. Takes profit at the mid band and sets a time stop after 48 hours. Targets snapbacks.
Volatility Breakout
Triggers a buy when price breaks the prior day high by 1% and ATR is rising. Sets an initial stop at 2x ATR and trails after +4%. Built for expansion moves.
DCA Accumulator
Splits a fixed budget into scheduled buys, like $500 per month as four $125 weekly entries. Adds an extra buy if price drops 3% in a day. Smooths entry timing.
Stop Loss and Trailing Take Profit
Uses a hard stop at 2% to cap downside, then switches to a 1.5% trailing take profit once unrealized gain exceeds 5%. Helps lock gains without guessing tops.
Support and Resistance Bounce
Buys near a defined support zone after two failed breakdown attempts. Confirms with a higher low on 1-hour candles. Exits at the next resistance or on a 2.5% stop.
Opening Range Breakout
Defines the first 30 minutes as the range, then enters on a break with a retest. Uses a tight stop just inside the range and scales out at 1R and 2R targets.
Portfolio Rebalance
Keeps target weights, like 40/30/30 across three assets, by rebalancing weekly or when drift exceeds 5%. Adds a risk-off rule if total drawdown hits 8%.
Unlike crypto-only tools, Coinrule supports stock and ETF workflows through brokers such as Trading212, Alpaca, E*TRADE and Tastytrade. You choose the venue, then map the same rule logic across assets. This makes it easier to standardize risk, even when you trade different tickers. Use one dashboard to monitor positions, orders and bot status. If you need a simple start, begin with one asset and one exit rule, then expand.
When liquidity thins, spreads widen and slippage increases, so rules should adapt. Add conditions like only trade when volume is above a threshold, or avoid the last 10 minutes of the session. You can also require confirmation, such as two consecutive closes above a breakout level. For example, buy only if price is up 1.2% from yesterday close and RSI is above 50. These small filters often reduce noise trades.
After you launch, review the trade log weekly and adjust one variable at a time. Tighten stops, change timeframes, or reduce position size if drawdowns feel too large. Set alerts for events like a bot pausing, a stop triggering, or allocation exceeding 15%. This feedback loop turns a rough idea into a stable process. See /pricing to compare plan limits for active strategies.
Your capital stays with your broker while Coinrule handles rule evaluation and order routing. You can revoke access, pause bots, or rotate keys when needed. That separation helps you automate without giving up control.
Launch BotFAQ
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Avoid stacking too many signals at once, because it can reduce trades to near zero. Start with one entry trigger and one exit, then add filters only if they improve results. Also avoid changing rules mid-trade unless you have a clear policy.
Try a simple mean reversion rule: buy when RSI is below 32 on 4-hour candles and price is down 3% from the 2-day high. Set a stop at 2.2% and take profit at 4.5%. Or use a trend rule: enter when MA50 is above MA200 and price closes above MA20 two days in a row.
Use fixed fractions instead of gut feel, such as 1% per entry with a maximum of 10% per asset. If you DCA, cap the number of adds, for example no more than three buys within 7 days. This keeps a bad regime from consuming the portfolio.
Set alerts for exceptions, not every tick. A good default is notify on entry, exit, stop loss and rule pause. Then review performance on a schedule, like every Friday, to keep decisions consistent.
Separate strategies by purpose: one for accumulation, one for breakouts and one for rebalancing. This makes it easier to attribute performance and disable only the bot that is misbehaving. Keep shared risk limits at the portfolio level.
Pick one asset, define a single entry condition, and add a stop plus a take profit. Run it small, review the log, then iterate. Once you trust execution, expand to a basket and add rebalancing.
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