Multi Period EMA Trend Following with Support Resistance Hybrid Trading System

Pine ScriptTrend following Breakout Volatility EMA ATR Volume Pivots / S&R

Author: ChaoZhang
Complexity: Starter · 49 lines
Parameters: 0
Backtest bar: 1h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

This strategy is a hybrid trading system that combines multiple technical analysis indicators. It primarily uses the Exponential Moving Average (EMA) system to determine market trends, while incorporating Support and Resistance (SR) levels for entry signals and Average True Range (ATR) for risk control. The strategy employs dynamic stop-loss settings that can adaptively adjust based on market volatility.

Strategy Principles

The strategy operates based on the following core components:

Trend Determination System - Uses the spatial relationship and difference between 20-period and 50-period EMAs to judge trend strength
Breakthrough Signal System - Constructs support and resistance levels using 9-period high and low prices
Risk Control System - Uses 14-period ATR to dynamically adjust stop-loss distances
Entry logic includes two conditions:
- Price breaks through support/resistance levels
- In trend and price is in the correct EMA direction
Exit logic based on ATR dynamic stop-loss, with stop distance set at 10 times ATR

Strategy Advantages

Multi-dimensional Confirmation - Combines trend following and breakout trading for improved signal reliability
Strong Adaptability - Dynamically adjusts stops through ATR, adapting to different market environments
Comprehensive Risk Control - Has clear stop-loss mechanisms that adjust with market volatility
High Systematization - Clear trading rules, unaffected by subjective judgment
Good Scalability - Stable core framework, easy to add new trading rules

Strategy Risks

Oscillation Market Risk - May generate frequent false signals in sideways markets
Slippage Risk - Breakout trades may face significant slippage during high volatility
Stop-Loss Range Risk - Large ATR multiplier settings may lead to significant drawdowns
Signal Delay Risk - Moving average system has inherent lag
Parameter Sensitivity - Multiple parameters require thorough testing and optimization

Strategy Optimization Directions

Signal Filtering Optimization
- Add volume confirmation mechanism
- Introduce volatility filters
- Integrate more technical indicators for verification
Position Management Optimization
- Implement dynamic position management
- Adjust position size based on volatility
- Add staged position building mechanism
Stop-Loss Optimization
- Introduce trailing stops
- Optimize ATR multiplier settings
- Add profit protection mechanism

Summary

This strategy constructs a complete trading system by combining multiple mature technical analysis methods. Its core advantages lie in system adaptability and risk control capabilities. Through continuous optimization and improvement, the strategy shows promise in maintaining stable performance across different market environments. Traders are advised to conduct thorough historical data testing and parameter optimization before live trading.

Source Pine Script

/*backtest
start: 2024-02-18 00:00:00
end: 2025-02-16 08:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=6
strategy("Multi-Strategy Trader v1 by SUNNY GUHA +91 9836021040 / www.oiesu.com", overlay=true)

// Basic Inputs
supResLookback = input.int(9, "Support/Resistance Lookback")
atrPeriod = input.int(14, "ATR Period")
stopMultiplier = input.float(10.0, "Stop Loss ATR Multiplier")

// Technical Indicators
atr = ta.atr(atrPeriod)
highestHigh = ta.highest(high, supResLookback)
lowestLow = ta.lowest(low, supResLookback)
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)

// Basic Strategy Rules
isTrending = math.abs(ema20 - ema50) > atr
longSignal = close > highestHigh[1] or (isTrending and ema20 > ema50 and close > ema20)
shortSignal = close < lowestLow[1] or (isTrending and ema20 < ema50 and close < ema20)

// Entry Logic
if longSignal and strategy.position_size <= 0
    strategy.entry("Long", strategy.long)

if shortSignal and strategy.position_size >= 0
    strategy.entry("Short", strategy.short)

// Stop Loss Logic
longStopPrice = close - (atr * stopMultiplier)
shortStopPrice = close + (atr * stopMultiplier)

// Exit Logic
if strategy.position_size > 0
    strategy.exit("Long Exit", "Long", stop=longStopPrice)
if strategy.position_size < 0
    strategy.exit("Short Exit", "Short", stop=shortStopPrice)

// Basic Plotting
plot(ema20, "EMA 20", color.blue)
plot(ema50, "EMA 50", color.red)

Published by ChaoZhang on the FMZ strategy square · last modified 2025-02-18. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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