Create a Silver trading bot with Coinrule, no code required. Automate entries, DCA and protective exits, then run rules across major exchanges from one dashboard.
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Instead of reacting to every spike, a Silver trading bot on Coinrule can follow your plan with consistent execution. Set rules like buy when price drops 3% in 6 hours, take profit at 4%, then trail by 1.2%. Connect to Binance, Kraken, Bybit or Coinbase via API keys while keeping funds on the venue. You get logs, alerts and clear controls to pause or adjust at any time.
Traders start from templates and then swap in their own triggers, timeframes and sizing. Combine indicators such as RSI, moving averages and Supertrend with simple price conditions. Add position sizing like 1% of balance per entry, or cap exposure at 15% per asset. The interface keeps each rule readable so you can review it before going live.
For silver-linked setups, you can treat the market as a trend and mean-reversion mix. Run a breakout rule during high volatility, then switch to range logic when price compresses. Use time filters to avoid thin liquidity hours, and add confirmation like volume or candle close. Everything runs 24/7, but you stay in charge of when it is active.
Risk Controls First
Risk controls include hard stop loss, trailing take profit and time stops that close stale positions. Example: if drawdown hits 2.5% on a trade, exit, and block new entries for 60 minutes. You can also set portfolio rules, such as stopping all strategies if total equity drops 6% in a day. These guardrails help keep automation disciplined when the tape gets noisy.
Execution You Can Audit
Every action is recorded so you can see which condition fired, at what price, and on which exchange. Clone a rule to A/B test different thresholds, like RSI 30 vs RSI 35 on 1-hour candles. Schedule strategies to run only on weekdays or only during the London-New York overlap. That makes iteration systematic instead of emotional.
Grid Trading
Places staggered buy and sell orders around a mid price. Works best in ranges with clear bounds. Add a stop if price breaks 2% beyond the grid.
RSI Oversold Rebound
Buys when RSI drops below 30 on 1-hour candles. Sells when RSI recovers above 55 or price hits a take profit. Adds a tight stop to limit downside.
Volatility Breakout
Enters when price closes above a recent high and volatility expands. Uses an ATR-based stop loss and a trailing take profit. Filters out low-volume breakouts.
Bollinger Band Mean Reversion
Buys when price tags the lower band and closes back inside. Exits near the middle band or on RSI normalization. Best for choppy sessions with defined ranges.
MA Crossover with Volume Filter
Buys when a fast MA crosses above a slow MA and volume is above its average. Exits on the crossback or a time stop after 48 hours. Helps avoid weak signals.
Grid Trading
Places staggered buy and sell orders around a mid price. Works best in ranges with clear bounds. Add a stop if price breaks 2% beyond the grid.
RSI Oversold Rebound
Buys when RSI drops below 30 on 1-hour candles. Sells when RSI recovers above 55 or price hits a take profit. Adds a tight stop to limit downside.
Volatility Breakout
Enters when price closes above a recent high and volatility expands. Uses an ATR-based stop loss and a trailing take profit. Filters out low-volume breakouts.
Bollinger Band Mean Reversion
Buys when price tags the lower band and closes back inside. Exits near the middle band or on RSI normalization. Best for choppy sessions with defined ranges.
MA Crossover with Volume Filter
Buys when a fast MA crosses above a slow MA and volume is above its average. Exits on the crossback or a time stop after 48 hours. Helps avoid weak signals.
Stop Loss and Trailing Take Profit
Adds a hard stop, then trails profits once price moves in your favor. Example: trail by 1% after reaching 3% profit. Helps cut losers while letting winners run.
Dynamic Grid with ATR Spacing
Builds a grid but spaces orders using ATR so it adapts to volatility. Widens in fast markets and tightens when calm. Includes a breakout kill switch to stop the grid.
Supertrend Momentum
Enters when Supertrend flips bullish on 4-hour candles. Exits when it flips bearish or when a trailing stop is hit. Designed to stay aligned with momentum.
Support and Resistance Bounce
Buys near a defined support zone after a rejection candle. Takes profit at the next resistance level and sets a stop just below support. Useful for structured ranges.
DCA Accumulator
Splits entries into fixed intervals, like buying every 6 hours for 7 days. Adds a rule to pause DCA if price rallies 5% above the average entry. Reduces timing risk.
On Coinrule you can run the same logic across Binance, OKX, Kraken, Bybit and Hyperliquid, depending on your market and product choice. Use spot for simpler exposure or perps when you need hedging tools. Keep separate rules per venue so leverage and sizing stay consistent. A single dashboard shows what is live and what is paused.
Start with one template and change only two variables. For example, set RSI buy at 32 on 2-hour candles, sell at RSI 58, and cap each entry to 0.8% of balance. Add a stop loss at 2% and a trailing take profit that activates after 3% profit. Run it on a small allocation for a week, then iterate based on the trade log.
Unlike a single-trigger bot, robust automation uses confirmations and time logic. Add a rule that only buys if price is above MA200, or only if the last candle closes green. Use a cooldown so it cannot re-enter for 30 minutes after an exit. These small constraints often reduce overtrading and improve consistency.
Once you have a baseline, treat changes like experiments. Adjust one parameter at a time and keep notes on why you changed it. Use alerts to review fills and slippage during fast moves. Over time, you build a library of rules that match your risk tolerance.
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If you trade derivatives, keep leverage modest and rules explicit. A simple hedge can reduce portfolio swings when volatility rises. For example, open a small short only when trend flips bearish and close it when price reclaims a key moving average. Treat hedges as insurance, not a primary profit engine.
For on-chain execution, Coinrule can route trades through Li.fi to find liquidity across supported networks. Smart accounts and session keys limit permissions so strategies can run without exposing full wallet control. This setup is useful when you prefer decentralized venues and transparent settlement. Keep gas and slippage assumptions realistic in your rules.
Do not stack too many triggers at once. Start with one entry signal and one exit plan, then add filters only if they solve a real problem you saw in logs. Watch for overlapping rules that compete for the same balance. Always define what happens after an exit, including cooldowns and re-entry logic.
Markets rotate between trend, range and shock. Build two or three variants and switch based on simple regime cues like ATR expansion or MA slope. Example: run a grid when ATR is below its 20-day average, and switch to breakout logic when ATR rises 30% above it. This keeps behavior aligned with conditions.
Track drawdown, average win and loss, and time in trade. Compare results before and after each change so you do not optimize by feel. Use consistent position sizing so performance is comparable across weeks. A small improvement in discipline often beats chasing a new indicator.
Connect an exchange, pick one template, set size caps, and add stops before you enable live trading. Confirm order types, minimum sizes and cooldown behavior. Then review the first 20 executions and adjust thresholds calmly. Repeat that loop until the strategy behaves exactly as intended.
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