Transform predictions into systematic rules that execute automatically. Your thesis about RSI oversold or MA crossovers becomes an actionable bot on Binance, OKX and Coinbase.
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users automating predictions
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Every market prediction you make can become an automated rule on Coinrule. If you believe BTC will bounce when RSI hits 28 on daily charts, codify that into a bot that buys automatically when conditions match. Your analysis about MACD crossovers, support levels or volume spikes translates directly into executable logic. The platform turns crypto predictions from speculation into systematic action across Binance, OKX and Coinbase.
Simulation mode tests your prediction logic against live market data without capital at risk. Run a thesis like buy when RSI drops below 32 and MA100 stays above price then track simulated trades over 50 executions. If the approach shows 58 percent win rate with positive risk-adjusted returns in demo, deploy with confidence. Backtesting prevents losses from untested assumptions about how indicators predict price movements.
Unlike prediction services claiming to know future prices, the platform executes YOUR analysis systematically. You define what RSI level indicates oversold, which moving average crossovers signal trend changes and what volume spikes suggest accumulation. Rules implement your logic consistently across markets 24/7 without emotional interference that causes discretionary traders to abandon sound analysis during volatility.
Thesis-driven trading
A prediction about market direction might combine multiple confirming signals. If you believe dips in uptrends provide opportunities, create rules requiring RSI below 35, MA9 above MA200 and price within 3 percent of weekly support. Multi-condition logic filters false signals from your core thesis producing higher quality entries when all predicted conditions align.
Prediction validation and testing
Before deploying real capital, validate predictions against historical patterns. Does your RSI oversold thesis actually produce positive returns over 100 simulated trades? Analytics reveal whether the prediction generates statistical edge or just random outcomes. Evidence-based refinement improves prediction accuracy over time as you adjust indicator thresholds based on observed results.
Buy the Dips
Captures oversold using RSI below 35 on daily charts with MA100 above price. Exits when RSI exceeds 65. Simple dip-buying approach targeting major pairs during temporary weakness.
Catching The Bottom
Targets extreme oversold with RSI below 40, volume above 150% average and volatility filters. Quick profit-taking at RSI 65. Catches panic selloffs requiring contrarian mindset.
Maximized RSI Strategy
Optimized dip-buying when RSI below 35 on daily charts and MA100 above price. Exits at RSI 65. MA filter ensures dips only in coins with favorable trend structure.
Volatility Trend Surge
Detects rising volatility via ATR jumps above 25% in 5 minutes with MA2 above MA50 on daily charts. Exits after 5% gain or when ATR drops 40%. Exploits strong momentum moves.
TWAP Momentum Sniper
Identifies coins below 1-month TWAP signaling undervaluation. Buys after deviation, exits when price returns to TWAP plus 2%. Mean reversion for mispricings on liquid pairs.
Buy the Dips
Captures oversold using RSI below 35 on daily charts with MA100 above price. Exits when RSI exceeds 65. Simple dip-buying approach targeting major pairs during temporary weakness.
Catching The Bottom
Targets extreme oversold with RSI below 40, volume above 150% average and volatility filters. Quick profit-taking at RSI 65. Catches panic selloffs requiring contrarian mindset.
Maximized RSI Strategy
Optimized dip-buying when RSI below 35 on daily charts and MA100 above price. Exits at RSI 65. MA filter ensures dips only in coins with favorable trend structure.
Volatility Trend Surge
Detects rising volatility via ATR jumps above 25% in 5 minutes with MA2 above MA50 on daily charts. Exits after 5% gain or when ATR drops 40%. Exploits strong momentum moves.
TWAP Momentum Sniper
Identifies coins below 1-month TWAP signaling undervaluation. Buys after deviation, exits when price returns to TWAP plus 2%. Mean reversion for mispricings on liquid pairs.
Multi-Index Momentum Strategy
Combines RSI, MACD and MFI for triple confirmation. Buys when all three align oversold and bullish. Exits when any flips overbought. Volume-weighted momentum validates setups.
MFI and RSI Oversold
Enters when MFI below 20 and RSI below 30 indicating extreme oversold. Exits on predefined take profit or stop loss. Dual oscillator approach for mean reversion trades.
Buy The Dip In Bull Market
Uses RSI to spot entry times during uptrends. Buys when RSI below 35 on 4-hour with MA9 above MA200 confirming bull structure. Exits when MA9 above MA50 and below price.
Volatility Spike Scalper
Buys on ATR spike above 30% in 15 minutes signaling volatility. Exits after 2.5% gain or when ATR drops 50%. Profits from sudden short-term movements across pairs.
Super Scalper
Trades top 20 coins using Supertrend indicator and volume surges above 200% average. High-frequency approach executing 80 trades weekly. Mobile-friendly with real-time alerts.
Discretionary traders often identify correct market directions but fail execution through hesitation, premature exits or emotional averaging into losing positions. Automation removes this gap between prediction and action. When your analysis says buy the RSI dip, the rule executes instantly at 3 AM if conditions align. Predictions become profitable only when executed consistently which requires systematic discipline automation provides.
After 100 trades using your prediction logic, analytics reveal whether the thesis generates statistical edge. If RSI below 30 predictions produce 54 percent win rate with 1.3 to 1 reward-risk ratio, the approach works. If win rate drops to 46 percent with equal gains and losses, the prediction lacks edge requiring refinement. Adjust RSI threshold from 30 to 28, add volume confirmation or narrow timeframes based on what data reveals. This iterative improvement process turns initial hunches into refined systematic approaches with documented performance characteristics.
Different market conditions favor different prediction types. Trend-following predictions like buy when MA9 crosses above MA50 excel in directional markets while mean reversion predictions like buy when RSI drops below 30 work better in ranging conditions. Deploy both simultaneously letting each capture opportunities suited to current regime. Portfolio diversification applies to prediction styles not just asset allocation.
Not every prediction works in every market condition. Momentum strategies fail during choppy sideways markets. Mean reversion approaches underperform during strong trends. Analytics reveal when specific prediction types generate losses signaling need for adjustment. Pause underperforming rules, refine parameters or wait for conditions favoring your thesis rather than forcing predictions into unsuitable environments.
Refine StrategyFAQ
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Prediction-based automation operates non-custodially meaning your assets stay on Binance, Coinbase, OKX or other exchanges under your control. Coinrule receives API keys permitting trade execution but never fund transfers. When your prediction conditions trigger, orders execute on your exchange account through API calls. Revoke access anytime from exchange settings. This architecture ensures predictions execute systematically while you maintain full custody and withdrawal control.
Entry plans support testing prediction logic with limited simultaneous rules suitable for validating thesis before scaling. Professional tiers unlock more concurrent rules across additional exchanges enabling diverse prediction portfolios. All plans include demo mode for backtesting predictions risk-free before deployment. Advanced analytics at higher tiers reveal deeper performance patterns for refining prediction accuracy.
Identify a market prediction you believe works consistently like buy when RSI drops below 32 on 4-hour charts indicates bounce. Build the rule using visual editor selecting RSI indicator, below 32 threshold and 4-hour timeframe. Add exit conditions for profit target and stop loss. Test 50 simulated trades in demo mode before deploying small real positions.
After 100 trades using initial prediction logic, refine based on observed patterns. If your RSI dip thesis underperforms on altcoins versus BTC, narrow asset selection. If adding volume confirmation improves win rate from 52 to 59 percent, incorporate that filter permanently. Systematic iteration based on data transforms initial hunches into refined approaches with documented statistical edge.
Deploy 3 to 5 prediction strategies targeting different market conditions simultaneously. Momentum predictions excel during trends while mean reversion predictions capture ranging markets. Breakout predictions profit from volatility expansion. Diversified prediction portfolio ensures some approaches work regardless of current market regime smoothing returns and reducing drawdown.
Consistent execution of well-defined predictions outperforms sporadic discretionary trading where emotions override analysis. Over 12 months of prediction automation, you develop refined thesis logic validated through hundreds of trades. Winners and losers both provide data for improvement. This systematic approach transforms market speculation into structured probabilistic edge where predictions execute identically every time conditions align across 20 plus connected exchanges.
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