Build rule-based stock and ETF automation with Coinrule, connect Trading212, and run entries, exits, DCA and rebalancing with clear controls and audit logs.
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Instead of reacting to every candle, Coinrule turns your Trading212 workflow into automation you can test and refine. Add trading212 algo trading rules like buy 2% when SPY drops 3% in a day, then sell 25% if it rebounds 4%. Connect Trading212, WeBull, E*TRADE or Alpaca and keep a single view of positions and risk.
Traders often start with a simple trigger and then add guardrails. You can combine price moves, indicators and time windows so the system only acts when conditions align. For example, enter when RSI(14) falls below 30 on 1H candles and price is above MA200, then place a 2.5% stop loss and a 6% take profit. Every action is logged so you can review what happened and why.
Every bot should have limits before it has ambition. Set max position size, daily trade caps and portfolio exposure thresholds so one idea cannot dominate the account. You can also pause all rules during earnings weeks or when volatility spikes, then resume on a schedule. This keeps execution consistent even when you are not watching the screen.
Trading212-ready building blocks
Start from proven patterns like dip buys, trend filters and rebalancing, then swap tickers and thresholds. A common setup is DCA $500 per month into an ETF split into four $125 weekly buys, with a pause if price gaps up more than 2% at the open. You can clone the same logic across multiple symbols and keep parameters consistent.
Clear monitoring and audit trail
Coinrule shows live status, recent signals and order history so you can validate behavior without guessing. Alerts notify you when a rule triggers, when a limit blocks a trade or when exposure crosses your threshold.
Buy the Dips
Buys a stock or ETF after a defined pullback, such as -3% in 24 hours. Adds a confirmation like RSI below 35. Exits on a rebound target or a time stop.
Grid Trading
Places staggered buy and sell levels inside a range to harvest mean reversion. Example spacing uses 0.8% steps with a max of 6 open orders. Pauses if price breaks the range by 2%.
Moving Average Scalper
Enters when price crosses above a fast MA and volume rises above its average. Uses tight risk, like 1.2% stop loss and 2.4% take profit. Best for liquid tickers on 15M to 1H charts.
RSI Oversold Rebound
Buys when RSI(14) drops below 30 and then crosses back above 32. Adds a trend filter like MA200 rising to avoid catching falling knives. Sells when RSI exceeds 60 or after 5 trading days.
Stop Loss and Trailing Take Profit
Opens a position on your entry signal, then manages exits automatically. Sets an initial stop, then trails profit by a fixed percent once price is up, for example trail 1.5% after +4%. Helps lock gains during fast moves.
Buy the Dips
Buys a stock or ETF after a defined pullback, such as -3% in 24 hours. Adds a confirmation like RSI below 35. Exits on a rebound target or a time stop.
Grid Trading
Places staggered buy and sell levels inside a range to harvest mean reversion. Example spacing uses 0.8% steps with a max of 6 open orders. Pauses if price breaks the range by 2%.
Moving Average Scalper
Enters when price crosses above a fast MA and volume rises above its average. Uses tight risk, like 1.2% stop loss and 2.4% take profit. Best for liquid tickers on 15M to 1H charts.
RSI Oversold Rebound
Buys when RSI(14) drops below 30 and then crosses back above 32. Adds a trend filter like MA200 rising to avoid catching falling knives. Sells when RSI exceeds 60 or after 5 trading days.
Stop Loss and Trailing Take Profit
Opens a position on your entry signal, then manages exits automatically. Sets an initial stop, then trails profit by a fixed percent once price is up, for example trail 1.5% after +4%. Helps lock gains during fast moves.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 while volume is above its 20-day average. Exits on the reverse cross or if price closes 2% below MA50. Works well for trend-following on daily candles.
Portfolio Rebalance
Rebalances a basket back to target weights on a schedule, such as every Friday. Adds drift bands, for example rebalance only if an asset deviates by 3% or more. Reduces overexposure after big runs.
Opening Range Breakout
Defines the first 15 minutes high and low, then trades the break with a buffer. Uses a stop on the opposite side of the range and a 2R take profit. Skips days with large premarket gaps.
Mean Reversion with Z-Score
Enters when price deviates from its moving average by a Z-score threshold, like -2.0. Exits when Z-score returns to -0.5 or hits a time stop. Designed for range-bound conditions.
ADX Trend Strength Filter
Trades only when ADX is above a threshold, such as 20, to avoid chop. Combines with a simple breakout or MA trend rule. Exits when ADX falls back below the threshold or on a trailing stop.
Unlike rigid scripts, Coinrule lets you build trading212 algo trading flows with toggles, limits and human checkpoints. You can run the same logic on Trading212 and also mirror it on Robinhood, Tradier or TradeStation if you diversify brokers. Set a rule to stop new entries after two losses in a day, or to reduce size by 50% when VIX rises above a threshold you choose. The goal is repeatable execution, not constant screen time.
Rules work best when they are specific and testable. Try a trend entry like buy when price closes above MA100 and RSI is between 45 and 60, then exit on a close below MA50. Or define a pullback entry: if price drops 5% from the 10-day high and volume is below average, buy 1% of balance and set a 3% stop. These constraints help you avoid overtrading and make results easier to analyze.
Once a strategy is live, treat it like a system with version control. Clone a bot before changing parameters so you can compare outcomes across two variants. Use schedules to avoid low-liquidity periods and to align with your own review cadence. Over time, you will build a library of rules that match different market regimes.
After a trade triggers, the platform records the signal, the condition values and the action taken. That makes it easier to debug why a bot skipped a day or why it entered earlier than expected. Alerts keep you informed without pulling you into constant monitoring.
Build BotFAQ
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Market orders can behave differently around the open or during news. Use limit orders where appropriate and add gap filters like skip entries if the open is 1.5% above yesterday close. This keeps your rules closer to the prices you modeled.
Start with fixed sizing, then graduate to percent-of-balance sizing once you trust the logic. A simple approach is 1% per entry with a hard cap of 10% per symbol. This prevents one ticker from dominating your results.
Keep your signal conditions small and readable, then handle exits and risk in a separate layer. For example, one rule decides when to enter, while another manages trailing stops and time-based exits. This modular approach makes improvements safer.
Set a weekly review to adjust parameters, not a daily one. Compare the last 20 trades to your expectations and change only one variable at a time. Consistency in evaluation helps you avoid chasing noise.
Create one bot for trending markets and another for range-bound periods, then toggle based on simple regime checks. ADX, volatility bands or moving average slope can act as your switch. Over time you will rely less on gut feel.
Begin with one liquid ETF or large-cap stock, one entry rule and one exit rule. Once it behaves as expected, clone it and adjust only the thresholds. That is how you scale automation without scaling mistakes.
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