Track holdings, PnL and risk in one dashboard, then automate rebalancing and rule-based execution across Binance, Kraken, Coinbase and OKX with Coinrule.
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Instead of juggling tabs and spreadsheets, Portfolio tracking software in Coinrule keeps balances, allocation and performance in one place. Connect Binance, Coinbase, Kraken or Bybit and review PnL by asset, strategy and time window. Set targets like 40% BTC, 30% ETH and 30% stablecoins, then monitor drift in real time. When you are ready, turn insights into rules without writing code.
Traders often monitor results but still execute manually when conditions hit. This platform closes that gap by turning a dashboard insight into an automated rule in minutes. For example, if BTC drops 5% in 4 hours, buy 2% of available USDC and set a 3% stop loss. You can schedule checks every 15 minutes so the system reacts consistently, even when you are away.
Users need reporting that explains why performance changed, not just a number. Coinrule logs every trigger, order and fill so you can audit outcomes across exchanges. Filter by timeframe, pair or rule to see what worked in high volatility versus range-bound weeks. If a strategy underperforms, clone it, adjust one parameter and compare results side by side.
Unified Dashboard
On centralized venues, Coinrule connects via API keys so your assets stay on Binance, OKX, Bitget or KuCoin. Choose trade-only permissions and keep withdrawals disabled for tighter control. Balances and positions update automatically so your overview stays current. This keeps tracking and execution aligned without extra transfers.
Automation Layer
Rules run as an automation layer on top of your accounts: entries, exits, DCA and rebalancing can be scheduled or event-driven. Pause everything with one switch, or isolate a single rule if markets change. For the core engine behind these workflows, see /automated-trading.
Buy the Dips
Buys after a defined pullback, such as -3% in 24 hours. Adds a second entry if price drops another -2%. Exits on a rebound to a set profit target.
Grid Trading
Places staggered buy and sell orders inside a price range. Re-centers the grid if price breaks out by an ATR threshold. Designed for sideways markets with clear bounds.
Supertrend Momentum
Enters when Supertrend flips bullish on 4H candles. Exits when the indicator turns bearish or a trailing stop is hit. Adds a volume filter to avoid weak signals.
RSI Divergence Hunter
Looks for bullish RSI divergence after a selloff. Buys when price makes a lower low but RSI makes a higher low. Sells into strength near prior resistance.
DCA Accumulator
Splits a fixed budget into timed buys, like $500 into four $125 weekly orders. Adds an extra buy when price drops 3% in a day. Smooths entries without timing stress.
Buy the Dips
Buys after a defined pullback, such as -3% in 24 hours. Adds a second entry if price drops another -2%. Exits on a rebound to a set profit target.
Grid Trading
Places staggered buy and sell orders inside a price range. Re-centers the grid if price breaks out by an ATR threshold. Designed for sideways markets with clear bounds.
Supertrend Momentum
Enters when Supertrend flips bullish on 4H candles. Exits when the indicator turns bearish or a trailing stop is hit. Adds a volume filter to avoid weak signals.
RSI Divergence Hunter
Looks for bullish RSI divergence after a selloff. Buys when price makes a lower low but RSI makes a higher low. Sells into strength near prior resistance.
DCA Accumulator
Splits a fixed budget into timed buys, like $500 into four $125 weekly orders. Adds an extra buy when price drops 3% in a day. Smooths entries without timing stress.
Stop Loss and Trailing Take Profit
Sets a stop loss, then trails profits once price moves in your favor. Example: stop 3% below entry, trail after +6%. Tighten the trail to 1.5% after +12%.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is above its 20-day average. Exits on the reverse cross. Works best on 4H or daily charts to reduce noise.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells near the middle band or when RSI exceeds 55. Aims to capture snapbacks in ranges.
Volatility Breakout
Enters when price breaks above an ATR-based threshold after consolidation. Exits if momentum fades within 12 hours using a time stop. Adds a trailing stop to ride winners.
Portfolio Rebalance
Rebalances back to target weights on a schedule, such as weekly. Sells overweight assets and buys underweight ones. Adds a drift threshold so small moves do not trigger trades.
Risk controls include allocation caps, max open positions and portfolio-level stop rules. You might set a rule that if any single asset exceeds 25% of total value, the system trims back to 20%. Another guardrail is a daily loss limit, such as pausing all bots if total PnL falls 4% in 24 hours. These constraints keep automation aligned with your plan, not your mood.
Rather than eyeballing charts, the platform can enforce a simple rebalance policy. Example: if ETH weight rises above 35%, sell down to 30% and rotate the difference into BTC and USDC. Run that check every Friday at 16:00 UTC, or only when drift exceeds 3%. The result is a repeatable process that avoids overtrading.
For many traders, the hardest part is seeing exposure across venues and acting consistently. Coinrule lets you track balances on Coinbase while executing on Binance, or split liquidity across Kraken and OKX. Standardize the same entry and exit logic across accounts, then compare fills and slippage. This makes it easier to manage one playbook, even when you diversify execution.
Templates cover common alerts like price moves, indicator thresholds and drawdown warnings. Set notifications for events such as RSI below 30 on 1H candles, or a 2% move in 10 minutes. Every trigger is recorded with timestamps so you can review what happened later. That history turns tracking into learning.
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Once you find a rule set that fits your style, save it as a playbook and reuse it across pairs. For example, run the same MA crossover logic on BTC, ETH and SOL, but cap each position at 10%. Schedule a monthly review to retire underperforming rules and keep the winners. This process keeps your system evolving without constant tinkering.
When volatility spikes, templates help you respond without improvising. Tighten stops from 3% to 1.5% after profit exceeds 10%, or pause new entries if funding turns extreme. In quieter ranges, mean-reversion rules can scale in with small size and defined exits. The goal is clarity, not complexity.
Different venues suit different tasks, and the platform is built to adapt. Use spot for long-term accumulation, perps for hedging and on-chain routes when you want permissionless liquidity. On-chain trades can route via Li.fi to find better pools, while centralized orders stay on the exchange. You keep one control surface for all of it.
Before placing a new trade, check concentration and correlation. If two assets move together, treat them as one risk bucket and size accordingly. A simple rule is to reduce new buys when total exposure to high-beta alts exceeds 30%. That constraint helps prevent accidental leverage through overlap.
Backtesting helps, but live iteration is where many retail systems improve. Start with one rule, run it for two weeks, then adjust a single variable like RSI 30 to RSI 35. Compare results using the same timeframe and market regime. Small, measured changes beat constant rewrites.
After you connect an exchange, begin with a basic DCA and a portfolio cap, then add a rebalance rule once you trust the workflow. Keep position sizes small until logs and alerts look consistent. As you scale, separate rules by purpose: accumulation, trend and protection. That structure makes automation easier to manage.
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