Modernize execution with digital transformation on Coinrule. Build rule-based automation, deploy faster, and manage risk across multiple exchanges in one dashboard.
410k+
users building automated rules
1M+
strategies created and tested
20+
Exchanges Supported
Instead of relying on spreadsheets and alerts, teams use Coinrule to operationalize Digital transformation in day-to-day trading. Turn ideas into rules that watch price, indicators and time windows, then execute automatically. For example, buy 2% of balance if BTC drops 5% in 4 hours, and exit at +3% or -2%. Connect Binance, Coinbase, Kraken or Bybit and keep a single view of performance and risk.
Traders often start with a simple playbook and evolve it into a repeatable workflow. The builder lets you define triggers, confirmations and actions without code, then clone and iterate safely. Add guardrails like max daily trades, cooldown timers and allocation caps so the system stays disciplined during noisy sessions.
Rules become easier to trust when they are explicit and measurable. Set conditions like RSI below 30 on 1-hour candles and a 200-period MA trending up, then size entries consistently. Add a second step that takes profit in two parts, such as 50% at +2% and the rest with a trailing stop of 1.2%. Every run is logged, so you can review what happened and why.
Operational Automation
Run the same strategy logic across multiple exchanges without rewriting it each time. Coinrule centralizes rule changes, status checks and alerts, so you do not miss a paused bot or a disconnected key. This is especially useful when you split liquidity between venues for fees, pairs or depth.
Controls And Governance
Set permissions and limits so automation stays within your risk policy. Use position sizing by percentage, portfolio exposure caps and stop conditions that halt trading after a drawdown threshold. Schedule rules to run only during specific hours to avoid thin liquidity.
Buy the Dips
Buys after a drop from a recent swing high and scales in. Adds a stop loss at -2% and takes profit at +3%. Useful on 4-hour charts when price chops.
Grid Trading
Places staggered buy and sell orders inside a defined range. Uses a max position cap to control inventory. Best for sideways markets with clear levels.
Stop Loss and Trailing Take Profit
Enters on a simple trigger, then sets a fixed stop for protection. Switches to a trailing take profit after price moves +1.5%. Helps lock gains during fast moves.
Supertrend Momentum
Buys when Supertrend flips bullish on 1-hour or 4-hour charts. Exits on the first bearish flip or a time stop after 48 hours. Built to follow trends without overtrading.
MA Crossover with Volume Filter
Enters when a fast MA crosses above a slow MA and volume is above its average. Exits on crossback or when volume fades. Filters many low-liquidity signals.
Buy the Dips
Buys after a drop from a recent swing high and scales in. Adds a stop loss at -2% and takes profit at +3%. Useful on 4-hour charts when price chops.
Grid Trading
Places staggered buy and sell orders inside a defined range. Uses a max position cap to control inventory. Best for sideways markets with clear levels.
Stop Loss and Trailing Take Profit
Enters on a simple trigger, then sets a fixed stop for protection. Switches to a trailing take profit after price moves +1.5%. Helps lock gains during fast moves.
Supertrend Momentum
Buys when Supertrend flips bullish on 1-hour or 4-hour charts. Exits on the first bearish flip or a time stop after 48 hours. Built to follow trends without overtrading.
MA Crossover with Volume Filter
Enters when a fast MA crosses above a slow MA and volume is above its average. Exits on crossback or when volume fades. Filters many low-liquidity signals.
DCA Accumulator
Splits a fixed budget into timed buys, such as $125 weekly for 4 weeks. Adds an extra buy if price dips 3% between intervals. Helps build positions with less timing stress.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells when price returns to the middle band or RSI exceeds 60. Targets rebounds after volatility expands.
Breakout + Retest
Buys after a breakout above resistance, then waits for a retest hold. Confirms with a higher-low before entry. Exits at a fixed target or on a failed retest.
Portfolio Rebalance
Rebalances back to target weights on a schedule, like every Friday. Adds a drift threshold, such as 5%, to reduce churn. Keeps allocations aligned during big swings.
Volatility Breakout
Enters when price breaks an ATR-based channel with momentum confirmation. Uses a tight initial stop, then trails as profit grows. Designed to catch expansion after consolidation.
For many teams, Digital transformation starts by consolidating execution into one controllable layer. Coinrule connects via API keys so funds stay on your exchange accounts, while rules handle entries, exits and alerts. Rotate between venues like OKX, Bitget, KuCoin and Hyperliquid depending on pairs and liquidity. Pause everything instantly if conditions change.
Risk controls work best when they are automatic, not aspirational. Set a rule that stops new entries if daily drawdown exceeds 3%, or if funding turns strongly positive against your position. Add position limits like never allocate more than 15% to a single asset. These constraints keep strategies consistent when emotions run high.
Templates give you a baseline, but the real advantage is iteration speed. Clone a working rule, change one variable, and compare results over the same market window. For example, test RSI 28 vs 32, or a 1.0% vs 1.5% trailing stop, without rebuilding from scratch. This workflow supports continuous improvement without code reviews.
Operational clarity matters as much as performance. The dashboard shows which rules are live, what they last did and what they are waiting for. Alerts notify you when a condition triggers, when an order fails or when exposure crosses a threshold. Logs make post-trade reviews straightforward.
Build BotFAQ
Marco P.
Sarah K.
Nikos D.
Priya K.
Lars H.
Amara N.
Start with one or two signals and add confirmations only when they improve outcomes. A common setup is MA trend plus RSI timing, with a simple time stop to avoid dead trades. Keep parameters readable so you can explain each decision in a review.
If you trade on-chain, you can extend automation to EVM networks with smart accounts. Session keys can limit permissions, and routing can seek better liquidity across pools. Keep the same rule mindset: clear triggers, defined sizing and explicit exits.
Every system needs a plan for disconnects, slippage and sudden volatility. Use alerts for failed orders, set max spread conditions where possible and define a global kill switch rule. These safeguards reduce operational surprises.
Name rules by intent, timeframe and asset, then group them by portfolio role. Archive old versions instead of deleting them so you can learn from past regimes. A clean library makes scaling easier.
Change one variable at a time and run it for a defined period. For example, adjust a stop from 2% to 2.5% while keeping entries identical, then compare drawdowns. This approach beats constant tinkering.
Map your current workflow, then convert the most repetitive decisions into rules first. Use templates as a starting point, review logs weekly and iterate with small parameter changes. When you are ready, explore more advanced automation patterns in /automated-trading and /crypto-trading-bots.
Launch Now
