Overview
The strategy named "EMA-RSI-Supertrend Multi-Factor Convergence Strategy" combines exponential moving averages (EMA), Relative Strength Index (RSI), Supertrend indicator, and volume confirmation signals to build a multi-factor trading system. It uses the golden cross/death cross of 8-period (short-term) and 21-period (long-term) EMAs as basic signals, supplemented by RSI's midline filter and Supertrend's trend confirmation, finally validated by volume spikes. The strategy adopts full-position entry/exit mode with EMA-based exit conditions, forming a complete trading loop.

Strategy Logic

1. EMA Crossover System: Uses crosses between 8-period (short) and 21-period (long) EMAs as basic signals. Golden cross (short above long) generates long signals, death cross (short below long) generates short signals.
2. RSI Filter: Incorporates 14-period RSI as trend strength filter, requiring RSI>50 for long signals (strong zone) and RSI<50 for short signals (weak zone).
3. Supertrend Confirmation: Employs 10-period, 3.0x ATR Supertrend for trend direction confirmation, requiring Supertrend direction up (1) for longs and down (-1) for shorts.
4. Volume Validation: Calculates 10-period average volume, considering signals valid only when real-time volume exceeds 1.8x average, avoiding false breakouts.
5. Exit Mechanism: Closes all positions when price crosses 21-period EMA in reverse direction, achieving dynamic profit-taking/stop-loss.

Advantages

1. Multi-factor Validation: Four-factor verification (EMA, RSI, Supertrend, volume) significantly improves signal quality.
2. Trend-following Nature: EMA+Supertrend combination effectively captures trends, avoiding counter-trend trades.
3. Volume-Price Confirmation: Volume spike requirement filters low-quality breakouts, improving win rate.
4. Dynamic Exit: EMA-based exit automatically adapts to market fluctuations, protecting profits.
5. Full Automation: All conditions are quantifiable, eliminating emotional interference.

Risks

1. Range-bound Risk: Frequent EMA crosses during sideways markets may cause false signals and consecutive losses.
2. Parameter Sensitivity: EMA periods, RSI thresholds may need adjustment across market regimes.
3. Volume Lag: Volume confirmation may lag during extreme moves, leading to poor entry points.
4. Slippage Risk: Full-position trading may face significant execution slippage during high volatility.

Solutions:

• Add volatility filter (e.g. ATR) to avoid trading in choppy markets
• Implement parameter self-adaptation or periodic optimization
• Set maximum consecutive stop-loss limit
• Adopt partial position building to reduce market impact

Optimization Directions

1. Dynamic Parameter Adjustment: Automatically adjust EMA periods based on market volatility (e.g. ATR values), extending periods during high volatility to reduce noise.
2. Composite Exit Strategy: Combine fixed-ratio take-profit/stop-loss with EMA exit, e.g. setting 1:2 risk-reward ratio.
3. Machine Learning Optimization: Use historical data to train models for dynamic factor weighting.
4. Multi-timeframe Confirmation: Incorporate higher timeframe trend confirmation, e.g. daily trend direction.
5. Capital Management Improvement: Switch to Kelly criterion or fixed fractional position sizing.

Conclusion
This strategy achieves high-quality trend signals through multi-factor synergy, particularly effective in strong trending markets. The quadruple verification mechanism significantly enhances signal reliability but requires adaptability adjustments during range-bound periods. Future enhancements through dynamic parameterization and advanced exit strategies could further improve performance stability. Overall, this is a well-structured, logically clear trend-following system with high practical application value.

Strategy source code

/*backtest
start: 2024-04-24 00:00:00
end: 2025-04-23 00:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"TRX_USD"}]
*/

//@version=5

//@WunderTrading
strategy("Nirvana Mode v1.0", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, calc_on_every_tick=true)

// === INPUTS ===
emaShort = ta.ema(close, 8)
emaLong = ta.ema(close, 21)
rsi = ta.rsi(close, 14)
supertrendFactor = 3.0
supertrendPeriod = 10
[supertrend, direction] = ta.supertrend(supertrendFactor, supertrendPeriod)
volumeAvg = ta.sma(volume, 10)
volumeSpike = volume > volumeAvg * 1.8

// === ENTRY CONDITIONS ===
longCond = ta.crossover(emaShort, emaLong) and rsi > 50 and direction == 1 and volumeSpike
shortCond = ta.crossunder(emaShort, emaLong) and rsi < 50 and direction == -1 and volumeSpike
exitCond = ta.cross(close, emaLong)

// === PLOT & SIGNALS ===
plot(emaShort, color=color.orange)
plot(emaLong, color=color.blue)
plotshape(longCond, title="BUY", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(shortCond, title="SELL", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
plotshape(exitCond, title="EXIT", location=location.bottom, color=color.gray, style=shape.xcross, size=size.tiny)

// === STRATEGY ORDERS ===
if (longCond)
    strategy.entry("ENTER LONG", strategy.long, comment="ENTER-LONG_BITGET_BTCUSDT_NirvanaMode-v1.0_15M_hmq9xx")

if (shortCond)
    strategy.entry("ENTER SHORT", strategy.short, comment="ENTER-SHORT_BITGET_BTCUSDT_NirvanaMode-v1.0_15M_hmq9xx")

if (exitCond)
    strategy.close_all(comment="EXIT-ALL_BITGET_BTCUSDT_NirvanaMode-v1.0_15M_hmq9xx")

// === ALERT ===
alertcondition(longCond, title="Long Signal", message="ENTER-LONG_BITGET_BTCUSDT_NirvanaMode-v1.0_15M_hmq9xx")
alertcondition(shortCond, title="Short Signal", message="ENTER-SHORT_BITGET_BTCUSDT_NirvanaMode-v1.0_15M_hmq9xx")
alertcondition(exitCond, title="Exit Signal", message="EXIT-ALL_BITGET_BTCUSDT_NirvanaMode-v1.0_15M_hmq9xx")

The original address: EMA-RSI-Supertrend Multi-Factor Convergence Strategy with Volume Confirmation