Dynamic Trend Identification Strategy with Exponential Moving Average and Adaptive Volatility Threshold

Pine ScriptTrend following Volatility Machine learning RSI MACD EMA ATR ADX / DMI

Author: ianzeng123
Complexity: Intermediate · 106 lines
Parameters: 0
Backtest bar: 1h · intraday
Tested on: BNB/USDT · futures

Jump to code View in vault Original on FMZ

Overview

The OneTrend Lite EMA strategy is an innovative trend-tracking trading approach that combines Exponential Moving Averages (EMA), Average Directional Index (ADX), and Average True Range (ATR) to identify and capture market trends. The strategy aims to provide clear, rule-based trading signals while dynamically adjusting sensitivity to market volatility.

Strategy Principles

The strategy's core revolves around three key technical indicators:

Fast and Slow EMAs: Capturing price trend changes by calculating exponential moving averages of different period lengths
Custom ADX Calculation: Evaluating trend strength and market momentum
Dynamic ATR Threshold: Adaptively adjusting trend determination sensitivity based on ADX values

The strategy uses a 30-period fast EMA and a 60-period slow EMA, generating trading signals by combining their difference with an adaptive ATR multiplier. It enters the blue trend zone (bullish) when the fast EMA exceeds the dynamic threshold and enters the pink zone (bearish) when it falls below the threshold.

Strategy Advantages

High adaptability: Dynamic ADX threshold allows sensitivity adjustment based on different market conditions
Multi-dimensional indicator combination: Integrating EMA, ADX, and ATR improves signal accuracy
Clear visual trading intervals: Blue and pink areas intuitively display trend changes
Flexible risk management: Adjustable EMA periods, ATR multipliers, and ADX thresholds

Strategy Risks

Lagging nature: EMAs inherently have a lag, potentially delaying response in rapidly changing markets
Performance in oscillating markets: May generate frequent and ineffective trading signals in markets lacking clear trends
Parameter sensitivity: Strategy performance highly depends on chosen parameters, requiring continuous backtesting and optimization

Strategy Optimization Directions

Incorporate machine learning algorithms: Using AI to dynamically optimize parameter selection
Multi-timeframe validation: Verifying strategy stability across different time scales
Combine additional indicators: Integrating momentum indicators like RSI, MACD to improve signal accuracy
Adaptive stop-loss mechanism: Dynamically adjusting stop-loss strategies based on ATR

Summary

The OneTrend Lite EMA strategy provides traders with a flexible and intuitive trend-tracking method through innovative indicator combinations and adaptive thresholds. Despite inherent risks, its multi-dimensional analysis and dynamic adjustment capabilities make it a strategy worthy of in-depth research.

Source Pine Script

/*backtest
start: 2024-04-03 00:00:00
end: 2025-04-02 00:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BNB_USDT"}]
*/

//============================== OneTrend Lite Historical Performance ==============================/
//+--------+-----------+-----------+-----------+--------------------+---------------+---------------+
//| Ticker | Total P&L | Drawdown  | # Trades  | Profitable Trades  | Profit Factor | Best Method   |
//+--------+-----------+-----------+-----------+--------------------+---------------+---------------+
//| BTC    | 557x      | 55.29%    | 11        | 72.73%             | 13.579        | OneTrend Pro  |
//| ETH    | 207x      | 55.11%    | 13        | 46.15%             | 1.696         | OneTrend Pro  |
//| XRP    | 29x       | 99.85%    | 23        | 30.43%             | 1.261         | OneTrend Gaus |
//| SOL    | 152x      | 40.20%    | 8         | 62.50%             | 4.341         | OneTrend Gaus |
//| BNB    | 519x      | 64.29%    | 12        | 50.00%             | 3.351         | OneTrend Lite |
//| DOGE   | 21x       | 89.63%    | 22        | 27.27%             | 1.521         | OneTrend Gaus |
//| ADA    | 9x        | 76.18%    | 9         | 55.56%             | 9.039         | OneTrend Pro  |
//| SUI    | 6.6x      | 11.44%    | 2         | 100.00%            | ∞             | OneTrend Pro  |
//+--------+-----------+-----------+-----------+--------------------+---------------+---------------+

//============================== OneTrend Pro Historical Performance ===============================/
//+--------+-----------+-----------+-----------+--------------------+---------------+---------------+
//| Ticker | Total P&L | Drawdown  | # Trades  | Profitable Trades  | Profit Factor | Best Method   |
//+--------+-----------+-----------+-----------+--------------------+---------------+---------------+
//| BTC    | 723x      | 50.99%    | 41        | 53.66%             | 2.625         | OneTrend Pro  |
//| ETH    | 1925x     | 40.07%    | 31        | 58.06%             | 3.472         | OneTrend Pro  |
//| XRP    | 298x      | 99.97%    | 53        | 37.74%             | 1.87          | OneTrend Gaus |
//| SOL    | 917x      | 73.31%    | 18        | 44.44%             | 2.71          | OneTrend Gaus |
//| BNB    | 353x      | 49.44%    | 31        | 45.16%             | 2.849         | OneTrend Lite |
//| DOGE   | 238x      | 92.38%    | 40        | 40.00%             | 2.389         | OneTrend Gaus |
//| ADA    | 39x       | 71.96%    | 31        | 35.48%             | 1.684         | OneTrend Pro  |
//| SUI    | 8.7x      | 31.53%    | 4         | 50.00%             | 13.457        | OneTrend Pro  |
//+--------+-----------+-----------+-----------+--------------------+---------------+---------------+

//=========================== OneTrend Gaussian Historical Performance =============================/
//+--------+-----------+-----------+-----------+--------------------+---------------+---------------+
//| Ticker | Total P&L | Drawdown  | # Trades  | Profitable Trades  | Profit Factor | Best Method   |
//+--------+-----------+-----------+-----------+--------------------+---------------+---------------+
//| BTC    | 107x      | 72.45%    | 26        | 57.69%             | 5.5           | OneTrend Pro  |
//| ETH    | 10x       | 40.07%    | 31        | 58.06%             | 3.472         | OneTrend Pro  |
//| XRP    | 1125x     | 99.94%    | 29        | 48.28%             | 1.509         | OneTrend Gaus |
//| SOL    | 925x      | 52.10%    | 11        | 63.64%             | 11.338        | OneTrend Gaus |
//| BNB    | 434x      | 58.10%    | 22        | 59.09%             | 4.845         | OneTrend Lite |
//| DOGE   | 487x      | 90.48%    | 40        | 32.50%             | 2.263         | OneTrend Gaus |
//| ADA    | 20x       | 71.96%    | 31        | 35.48%             | 1.684         | OneTrend Pro  |
//| SUI    | 3.3x      | 31.53%    | 4         | 50.00%             | 13.457        | OneTrend Pro  |
//+--------+-----------+-----------+-----------+--------------------+---------------+---------------+

//@version=6
strategy("OneTrend Lite EMA", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, initial_capital = 10000)

// --- USER INPUTS ---
// EMA settings
emaFastLen = 30
emaSlowLen = 60
atrLen     = 60

// ADX settings
adxLen       = 14
adxThreshold = 20

// ATR multipliers for trend conditions
atrMultStrong = 0.3
atrMultWeak   = 0.1

// --- CALCULATIONS ---
// Calculate EMAs and their difference
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
emaDiff = emaFast - emaSlow

// --- Custom ADX Calculation ---
up      = ta.change(high)
down    = -ta.change(low)
plusDM  = (up > down and up > 0) ? up : 0.0
minusDM = (down > up and down > 0) ? down : 0.0
trur    = ta.rma(ta.tr, adxLen)
plusDI  = 100 * ta.rma(plusDM, adxLen) / trur
minusDI = 100 * ta.rma(minusDM, adxLen) / trur
dx      = 100 * math.abs(plusDI - minusDI) / (plusDI + minusDI)
adxVal  = ta.rma(dx, adxLen)

// Determine the dynamic ATR multiplier based solely on ADX
dynamicAtrMult = adxVal > adxThreshold ? atrMultStrong : atrMultWeak

// Define bull (blue) and bear (pink) zones using the dynamic multiplier
emaBull = emaDiff > dynamicAtrMult * ta.atr(atrLen)
emaBear = emaDiff < -dynamicAtrMult * ta.atr(atrLen)

// --- PLOTTING ---
clrBull    = color.rgb(70, 163, 255)   // Blue for bull
clrBear    = color.rgb(255, 102, 170)   // Pink for bear
clrNeutral = color.rgb(128, 128, 128)   // Gray for neutral

fastPlot = plot(emaFast, linewidth=2, color=emaBull ? clrBull : emaBear ? clrBear : clrNeutral, title="Fast EMA")
slowPlot = plot(emaSlow, linewidth=2, color=emaBull ? clrBull : emaBear ? clrBear : clrNeutral, title="Slow EMA")
fill(fastPlot, slowPlot, color=emaBull ? color.new(clrBull, 70) : emaBear ? color.new(clrBear, 70) : color.new(clrNeutral, 70))

// --- STRATEGY LOGIC ---
// Enter long immediately when the zone turns blue, and exit when it turns pink.
if emaBull
    strategy.entry("Long", strategy.long, comment="Long Entry")
if emaBear
    strategy.close("Long", comment="Close Long")

Published by ianzeng123 on the FMZ strategy square · last modified 2025-04-03. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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