Set up free silver trading workflows in Coinrule with rule-based automation, alerts and risk controls. Test ideas fast, then run them live with discipline.
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Instead of improvising every candle, free silver trading on Coinrule helps you prototype a rules-first workflow and measure it. Set triggers like \"if price drops 2% in 1 hour, buy 10% of size\" and log every decision. Then refine entries, exits and position sizing until the behavior matches your plan.
Traders use the builder to translate a thesis into conditions, not opinions. You can combine indicators and time filters, for example: enter when RSI(14) falls below 30 on 1H candles and price is above MA200, then exit when RSI rises above 55. Add a cooldown so the system cannot re-enter for 6 hours after a stop. This structure makes execution repeatable across different market regimes.
On this platform you can run the same logic across venues without rewriting your playbook. Coinrule connects via API keys to exchanges like Coinbase, OKX, Bybit and KuCoin, so your funds stay on the exchange. You can monitor performance, pause rules, and receive real-time alerts when conditions fire. For more on automation basics, see /automated-trading.
Risk Controls First
Risk controls include fixed stop loss, trailing take profit, and max daily loss rules. Example: stop at 1.8%, trail profits by 1.2% once price is up 3%, and halt all bots after 3 losing trades in 24 hours. These guardrails keep a good idea from turning into a bad week.
Templates You Can Clone
Start from a template, then adjust thresholds, timeframes and sizing to match your risk. Clone variants to A/B test, such as RSI 28 vs 32, or 15-minute vs 1-hour signals. Keep one dashboard for all versions so you can compare drawdowns and trade frequency side by side.
Buy the Dips
Buys after a 3% pullback from a 24H high with a trend filter. Adds once more if price drops another 2%. Exits on a 4% rebound or a time stop after 48 hours.
Grid Trading
Places a grid of buys and sells inside a defined range. Uses 0.6% spacing and equal sizing per level. Stops the grid if price breaks the range by 2% to avoid runaway trends.
Bollinger Band Mean Reversion
Enters when price closes below the lower band on 4H candles. Takes profit at the middle band and exits fully at the upper band. Adds a volatility filter to skip extreme squeezes.
RSI Oversold Rebound
Buys when RSI(14) < 30 on 1H and price is above MA100. Sells half at RSI 45 and the rest at RSI 55. Uses a 1.5% stop loss to cap downside.
Stop Loss and Trailing Take Profit
Opens on a simple trigger, then manages risk automatically. Sets an initial 2% stop and activates a 1% trailing take profit after 2.5% unrealized gain. Designed to reduce decision fatigue.
Buy the Dips
Buys after a 3% pullback from a 24H high with a trend filter. Adds once more if price drops another 2%. Exits on a 4% rebound or a time stop after 48 hours.
Grid Trading
Places a grid of buys and sells inside a defined range. Uses 0.6% spacing and equal sizing per level. Stops the grid if price breaks the range by 2% to avoid runaway trends.
Bollinger Band Mean Reversion
Enters when price closes below the lower band on 4H candles. Takes profit at the middle band and exits fully at the upper band. Adds a volatility filter to skip extreme squeezes.
RSI Oversold Rebound
Buys when RSI(14) < 30 on 1H and price is above MA100. Sells half at RSI 45 and the rest at RSI 55. Uses a 1.5% stop loss to cap downside.
Stop Loss and Trailing Take Profit
Opens on a simple trigger, then manages risk automatically. Sets an initial 2% stop and activates a 1% trailing take profit after 2.5% unrealized gain. Designed to reduce decision fatigue.
Volatility Breakout
Buys when price breaks a 20-period high and ATR expands by 15%. Confirms with volume above its 20-period average. Exits on a close back inside the breakout range or a trailing stop.
Moving Average Scalper
Trades short-term momentum using MA9 and MA21 on 15-minute candles. Enters on a bullish cross and exits on the first crossback. Adds a spread filter to avoid choppy conditions.
Support and Resistance Bounce
Marks a support zone and buys when price wicks into it and closes back above. Takes profit at the next resistance level. Cancels entries if the level breaks by 1.2%.
Squeeze Release (BB + Keltner)
Detects a squeeze when Bollinger Bands move inside Keltner Channels. Enters on the first close outside both bands with trend confirmation. Exits using a time stop or trailing take profit.
Dynamic Grid with ATR Spacing
Builds a grid where spacing adapts to ATR so levels widen in high volatility. Re-centers the grid when price drifts 1.5x ATR from the midpoint. Includes a hard stop if trend accelerates.
When volatility spikes, alerts keep you informed without forcing manual clicks. Set notifications for conditions like \"price moves 1.5% in 10 minutes\" or \"RSI crosses 70\" so you can review context. You can route alerts to email or app notifications and decide whether to let the rule execute or keep it as a signal. This is a practical bridge from testing to live automation.
Rather than trusting a single run, validate behavior across different weeks and volatility regimes. For example, run the same logic with three position sizes: 0.5%, 1% and 2% per trade, then compare max drawdown and trade count. Keep a time-based exit like \"close after 36 hours\" to prevent capital getting stuck. Once the stats look stable, move the best variant to live execution and keep the others as benchmarks.
For free silver trading experiments, consistency matters more than complexity. Coinrule helps you standardize order types, sizing and risk limits so results are comparable. Example: always use limit orders with 0.1% offset, cap total exposure at 15%, and pause after a 5% weekly drawdown. If you trade perps, add a leverage cap and a liquidation buffer rule. The goal is a repeatable process you can iterate.
Every rule run produces a clear audit trail. You can see which condition triggered, what order was sent and what happened next. This makes it easier to debug false signals, tighten filters or remove conflicting rules. It also helps you stay disciplined during noisy sessions.
Launch BotFAQ
Lars H.
Priya K.
Michael R.
Giulia C.
Kenji M.
Valentina C.
Chasing spikes and widening stops usually ends badly. Use predefined invalidation levels, and do not move them mid-trade. If you need discretion, keep it in the entry filter, not in the risk controls. Consistency is the edge you can actually control.
Add one filter that reduces bad trades without overfitting. Examples include a trend filter like price above MA200, a volatility filter like ATR below a threshold, or a time filter that avoids low-liquidity hours. Keep filters simple and measurable. If a filter reduces trades by 80% but barely improves drawdown, remove it.
Once a rule set behaves, increase size in steps. Try moving from 0.5% to 0.75% to 1% per trade over two to three weeks, while keeping the same stop distance. Watch slippage and fill quality as size grows. If performance degrades, roll back and reassess.
Partial exits can smooth results. For example, take 50% profit at +1.8%, then trail the rest by 1.1% to capture extended moves. Add a time stop like 72 hours so capital does not stagnate. This approach reduces the pressure to pick the perfect top.
Review weekly, not hourly. Check win rate, average win vs average loss, max drawdown and whether rules fired as expected. Note any market regime changes that explain performance shifts. Then change one parameter and rerun the next week.
Build a small set of conditions, run it with tight limits and iterate from real data. Coinrule gives you the builder, templates and monitoring to stay systematic across connected exchanges. When you are ready, you can expand into multi-rule portfolios and hedges without rewriting your workflow.
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