Validate ideas before risking capital. Backtest rule-based strategies, review key metrics, then run the same logic live across major crypto exchanges.
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Instead of guessing, use Trading backtesting software in Coinrule to replay your rules on historical candles and see how they behave. Test entries, exits and risk limits, then run the same logic live on Binance, Kraken, Bybit or OKX.
Traders often start with a simple hypothesis and translate it into conditions the engine can run consistently. Build triggers from price moves, indicators like RSI and moving averages, and time windows such as hourly or daily checks. Once the logic is explicit, you can compare variants without changing your process every time the market mood shifts.
A good test is more than a single profit number. Review drawdown, win rate, average trade and how long positions stay open, then sanity-check results across different market regimes. If a rule only works in one month, the platform makes that obvious fast.
Historical Replay And Reports
Try concrete rules like: buy 2% of balance if price drops 5% within 4 hours, then place a 3% stop loss and a 6% take profit. Or: enter when RSI(14) crosses below 30 on 1-hour candles and exit when RSI rises above 55. You can also model a weekly DCA such as $125 every Monday and compare it to a dip-buy trigger over the same period.
One Logic, Many Venues
Connect accounts via API keys and keep funds on the exchange while the system executes your conditions. Run the same strategy across KuCoin, Bitget and Coinbase, or isolate it to one venue to compare fills and behavior. Logs show each decision so you can audit what happened and why.
Buy the Dips
Buys after a defined pullback, such as -3% from a 24h high. Adds a stop loss and a take profit ladder. Useful for testing mean reversion vs trend continuation.
Grid Trading
Places staggered buys and sells inside a price range. Rebalances inventory as price oscillates. Backtest different grid spacing and take profit steps to control churn.
Bollinger Band Mean Reversion
Enters when price closes below the lower band on 4-hour candles. Exits near the middle band or on a fixed profit target. Adds a time stop to avoid long stagnation.
Supertrend Momentum
Buys when Supertrend flips bullish and price holds above it. Sells on a flip back to bearish or a trailing stop. Compare settings like 10,3 vs 14,2 in tests.
MA Crossover with Volume Filter
Enters on a fast MA crossing above a slow MA when volume is above its recent average. Exits on crossback or a protective stop. Helps reduce whipsaws in choppy periods.
Buy the Dips
Buys after a defined pullback, such as -3% from a 24h high. Adds a stop loss and a take profit ladder. Useful for testing mean reversion vs trend continuation.
Grid Trading
Places staggered buys and sells inside a price range. Rebalances inventory as price oscillates. Backtest different grid spacing and take profit steps to control churn.
Bollinger Band Mean Reversion
Enters when price closes below the lower band on 4-hour candles. Exits near the middle band or on a fixed profit target. Adds a time stop to avoid long stagnation.
Supertrend Momentum
Buys when Supertrend flips bullish and price holds above it. Sells on a flip back to bearish or a trailing stop. Compare settings like 10,3 vs 14,2 in tests.
MA Crossover with Volume Filter
Enters on a fast MA crossing above a slow MA when volume is above its recent average. Exits on crossback or a protective stop. Helps reduce whipsaws in choppy periods.
RSI Oversold Rebound
Buys when RSI drops below 35 and then reclaims 40. Takes profit when RSI exceeds 60 or price hits a target. Designed to capture rebounds without holding full trends.
ATR Channel Breakout
Enters when price breaks above an ATR-based channel on the daily chart. Exits with a trailing stop sized by ATR. Useful for testing volatility-adjusted trend following.
Stop Loss and Trailing Take Profit
Sets a hard stop, then switches to a trailing take profit after a gain threshold. Example: stop at -2.5%, trail by 1.2% after +4%. Good for studying risk-reward tradeoffs.
Portfolio Rebalance
Targets fixed allocations across multiple assets and rebalances on a schedule. Tests monthly vs weekly rebalancing and threshold bands like 3%. Helps control drift during big moves.
Opening Range Breakout
Marks the first hour range and enters on a break with confirmation. Exits on a fixed stop or end-of-day close. Backtest different sessions and filters for false breaks.
Unlike spreadsheet-only tests, Coinrule helps you keep assumptions visible so you do not fool yourself with perfect fills. Use conservative slippage, avoid lookahead indicators and test multiple time windows. Trading backtesting software is strongest when you validate out of sample and resist constant parameter tweaking.
Once results look stable, switch to paper trading to see how signals behave in real time without risking funds. Watch how often rules trigger, whether alerts arrive when expected and how position sizing feels during volatility. This step catches operational issues that historical data cannot show.
Every bot should have limits before it touches live markets. Set max allocation per asset, a daily loss cap and an emergency stop that pauses all rules. For example, cap exposure at 20% per coin, stop trading after -3% daily PnL and require a 6-hour cooldown after a stop loss.
After you launch, the decision trail matters as much as the entry signal. The platform records each trigger, order and condition evaluation so you can review behavior during spikes. That makes it easier to iterate without rewriting your process from scratch.
Go LiveFAQ
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Markets trend, chop and crash, and a single setting rarely survives all three. Run the same rule across a bull period, a sideways range and a high-volatility drawdown to see where it breaks. Then decide whether to add a regime filter or keep the strategy narrowly scoped.
Change one variable at a time so you can attribute improvements correctly. For instance, test RSI entry at 25, 30 and 35 while keeping exits constant, or compare MA lengths like 20/50 vs 50/200. Save the best candidates, then validate them out of sample.
Sizing often matters more than signal selection. Use fixed percent sizing, volatility-based sizing or staged entries like 1%, then 1% more if price drops another 2%. The goal is to keep losses survivable and wins scalable.
Add cooldowns, time stops and order type choices to reduce overtrading. For example, require 30 minutes between entries, exit after 48 hours if no target hits or prefer limit orders inside a spread. Small constraints can improve real-world behavior.
Templates give you a proven starting structure, not a black box. Study the logic, adjust thresholds and keep notes on what changed and why. Over time you build a personal library of rules that match your risk tolerance.
Start with one market, one timeframe and one risk rule, then expand only after results stay stable. Coinrule keeps research, paper trading and live automation in one place so your workflow stays disciplined.
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