Launch proven strategies on Binance, OKX and Bybit then adjust parameters as you learn what works. Every bot displays conditions in plain language so you control execution before committing capital.
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Rather than guessing which strategies work, browse templates that show complete entry and exit logic before you activate anything. A template might display If RSI drops below 35 on 4-hour charts and MA100 stays above price then buy 3 percent of balance. You see every condition transparently on Binance, OKX or Bybit before committing capital.
After importing a template like Moving Average Scalper or Buy the Dips, you adjust RSI thresholds from 30 to 35, change position sizing from fixed dollars to 5 percent of balance or add volume confirmation before entries. Each modification updates immediately and you test changes in demo mode first. Once a template proves effective on Binance you can clone it for OKX or Bybit with venue-specific parameter adjustments for liquidity differences. Templates cover trend following, mean reversion, DCA and portfolio hedging with complete rule logic visible. You learn from working examples rather than reverse engineering black boxes. Performance data breaks down by exchange so you see whether the same strategy behaves differently on Binance versus OKX due to liquidity or fee structures.
Once bots are live you track performance through metrics including total return, win rate, average trade duration and maximum drawdown over the past week, month or quarter. Analytics identify which bots contribute to portfolio growth and which need parameter adjustment or retirement. If a trend-following bot shows 65 percent win rate on Binance but only 48 percent on a smaller exchange, you allocate more capital to the higher-performing venue.
Bot validation before scaling
Before risking real capital, run any bot in simulation using live market data to observe how it would perform. Demo mode shows exact entry and exit signals without executing actual trades. Once a bot proves itself over two weeks in simulation, activate it with $100 positions then gradually scale to $500 as confidence builds through 20 successful trades. This staged approach prevents a single untested strategy from damaging your portfolio during the learning phase.
Bot orchestration across venues
When multiple bots target the same asset, orchestration prevents conflicts by tracking positions separately and ensuring they do not create unintended 40 percent exposure by both entering large positions simultaneously. If a trend-following bot holds 8 percent BTC and a mean-reversion bot wants to add 10 percent more, the system checks total exposure against your 15 percent cap and either scales the second entry to 7 percent or skips it entirely based on your priority settings.
Buy the Dips
Captures oversold using RSI below 35 on daily charts with MA100 above price for trend confirmation. Exits when RSI exceeds 65. Targets major pairs during weakness. Simple two-indicator approach reduces false signals.
Golden Cross Trading
Monitors MA9 and MA50 crossovers on 4-hour charts. Buys when short MA crosses above long MA signaling uptrend. Exits on crossback. Classic trend-following for Bitcoin and major altcoins across timeframes.
Optimised RSI and MA Strategy
Combines RSI momentum with MA alignment for entries. Buys when RSI rises 5%, stays below 70 and MA9 exceeds MA50 on 30-minute charts. Exits on crossback or trailing stops. Dual confirmation reduces whipsaws.
Moving Average Scalper
Scalps using four MAs to identify coins ready for reversal. Buys when MA9, MA50, MA100 and MA200 align bullish on 1-hour charts. Exits on first crossback. Fast-paced trend-aligned entries with disciplined exits.
Multi-Index Momentum Strategy
Combines RSI, MACD and Money Flow Index for triple confirmation. Buys when all three align oversold and bullish. Exits when any flips overbought. Volume-weighted momentum validates setups. Works best on major pairs.
Buy the Dips
Captures oversold using RSI below 35 on daily charts with MA100 above price for trend confirmation. Exits when RSI exceeds 65. Targets major pairs during weakness. Simple two-indicator approach reduces false signals.
Golden Cross Trading
Monitors MA9 and MA50 crossovers on 4-hour charts. Buys when short MA crosses above long MA signaling uptrend. Exits on crossback. Classic trend-following for Bitcoin and major altcoins across timeframes.
Optimised RSI and MA Strategy
Combines RSI momentum with MA alignment for entries. Buys when RSI rises 5%, stays below 70 and MA9 exceeds MA50 on 30-minute charts. Exits on crossback or trailing stops. Dual confirmation reduces whipsaws.
Moving Average Scalper
Scalps using four MAs to identify coins ready for reversal. Buys when MA9, MA50, MA100 and MA200 align bullish on 1-hour charts. Exits on first crossback. Fast-paced trend-aligned entries with disciplined exits.
Multi-Index Momentum Strategy
Combines RSI, MACD and Money Flow Index for triple confirmation. Buys when all three align oversold and bullish. Exits when any flips overbought. Volume-weighted momentum validates setups. Works best on major pairs.
EMA Crossings with RSI
Monitors EMA8 crossing above EMA55 with RSI below 55 for momentum confirmation on 15-minute charts. Exits when EMA8 crosses back below. Combines trend and oscillator signals for higher probability entries on liquid pairs.
Bollinger Band Below Price
Identifies mean reversion when lower Bollinger Band trades below price by 2% or more. Buys anticipating snapback to middle band. Exits at middle band or 4% profit. Works in ranging and trending markets on 1-hour charts.
MFI Oversold and Overbought
Money Flow Index measures volume-weighted momentum below 20 signaling exhaustion. Buys on MFI oversold. Exits at MFI 80 overbought. Volume-based oscillator for institutional activity. Works on major pairs with liquidity.
Buy The Dip In Bull Market
Uses RSI to spot entry times during uptrends catching dips. Buys when RSI below 35 on 4-hour charts with MA9 above MA200 confirming bullish structure. Exits when MA9 above MA50 and below price. Only trades within uptrends.
Three EMAs Trend-following Strategy
TradingView integration for advanced EMA signals across three timeframes. Buys when EMA8, EMA12 and EMA26 trade above EMA55 on 1-hour charts. Exits when EMA12 crosses below EMA55. Multi-EMA alignment reduces false starts.
Strategy libraries reveal how successful traders iterate by tracking win rates, identifying conditions that trigger losing trades and testing modifications systematically. You learn to recognize when a bot fails due to changed market regimes versus temporary drawdowns that are normal variance. This analytical approach separates disciplined traders from those abandoning strategies prematurely after three consecutive losses.
Once a bot proves effective on Binance showing 58 percent win rate over 60 trades, clone it and deploy to OKX or Bybit with minor threshold adjustments. A volatility breakout bot might use 30 percent ATR threshold on Binance but 35 percent on KuCoin due to different liquidity profiles. Cloning beats rebuilding from scratch every time.
Transparent bot logic builds trust because you read exactly what conditions trigger each trade, inspect how the bot behaved in past situations and modify parameters based on evidence rather than guessing. When you see a template that says If RSI drops to 32 and volume exceeds 150 percent average then buy 4 percent of balance, you understand completely before activating. Transparency plus editability creates confidence that rigid pre-built bots cannot match.
Traders report that starting with templates accelerated learning dramatically compared to building from scratch or buying closed systems. They describe studying working bots to understand which indicators matter like RSI and volume versus which are noise like exotic oscillators then applying lessons to custom strategies. Education through transparent examples plus flexibility to experiment creates better outcomes than either pure templates or pure custom building in isolation.
Build BotFAQ
Gustav N.
Priyanka S.
Emilio R.
Li Wei T.
Nora F.
Hassan A.
Infrastructure on Coinrule has processed millions of automated orders across exchanges since launch in 2017. Every bot operates through API connections you control with your funds never leaving exchange custody. You audit complete trade histories and revoke platform access instantly while retaining full ownership of assets. No pooled funds, no custody risk, complete transparency. Subscription pricing scales with how many simultaneous bots you run and exchanges you connect. Entry tiers support 3 bots for testing while professional plans unlock 30 plus parallel strategies across all supported venues. Clear pricing tiers help you budget automation costs as infrastructure not speculation. Template access included in all tiers.
Entry tiers let you test few bots on limited venues validating the approach with small capital. Higher plans support dozens of strategies across 8 exchanges with advanced features like backtesting on 2 years of historical data and priority execution during high volatility. Pricing is transparent with no hidden fees or per-trade commissions beyond exchange costs.
Begin by selecting one proven template matching your risk profile like Buy the Dips or Moving Average Scalper. Run it with $100 position sizing on single exchange like Binance to understand how bots behave in live markets. As the bot executes 15 to 20 trades review decisions and consider whether to adjust RSI threshold from 35 to 32 or scale position sizes to $250 based on initial results.
Review bot performance weekly to identify which conditions trigger winning trades versus losers. Adjust parameters gradually testing whether tightening stops from 3 percent to 2 percent improves results or worsens them through increased whipsaws. Retire bots that consistently underperform below 45 percent win rate after 50 trades and scale capital into bots proving themselves across different market conditions with 58 percent plus win rates.
As you master strategies on one exchange expand to additional venues like OKX, Bybit or KuCoin. Run the same proven bots across multiple exchanges or test how strategy performance varies by venue due to liquidity and fee differences. Build diversified portfolio of bots targeting different market conditions so you always have strategies positioned for current regimes whether trending, ranging or volatile.
Your practice can evolve from testing single template into running sophisticated portfolio of strategies across multiple exchanges. Over 12 months you develop intuition for which bot types work in different market regimes like trend bots in Q1 and mean reversion bots in Q3 building library of proven systems you deploy as conditions align. Systematic bot trading becomes your edge in markets where emotional decisions destroy capital consistently.
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