Multi-Period Supertrend Dynamic Pyramiding Trading Strategy
Author: ChaoZhang, Date: 2025-01-06 17:02:35Tags: ATRSTSL
Overview
This is a pyramiding trading strategy based on multiple Supertrend indicators. It identifies high-probability trading opportunities using three Supertrend indicators with different periods and multipliers. The strategy employs dynamic pyramiding entries allowing up to three positions, combined with dynamic stop-loss and flexible exit conditions to maximize profits while controlling risks.
Strategy Principles
The strategy utilizes three Supertrend indicators with different parameter settings: fast, medium, and slow. Entry signals are based on the crossovers and trend directions of these indicators, implementing a three-layer pyramiding approach: first entry when fast indicator points down while medium points up and slow points down; second entry through breakout when both fast and medium indicators point down; third entry through breakout when price makes new highs. Exits are managed through multiple mechanisms including dynamic stop-loss, average price stop, and overall trend reversal.
Strategy Advantages
- Multiple confirmation mechanism improves trading accuracy
- Pyramiding approach significantly amplifies profits in trending markets
- Dynamic stop-loss mechanism protects profits while allowing trends to develop
- Flexible exit mechanisms adapt well to different market conditions
- Percentage-based position sizing adapts to different capital sizes
Strategy Risks
- May generate frequent false signals in ranging markets
- Pyramiding can lead to larger drawdowns during sudden trend reversals
- Multiple indicators may result in delayed signals
- Parameter optimization faces overfitting risks It’s recommended to implement strict money management and backtesting to control these risks.
Optimization Directions
- Add market environment filters to dynamically adjust parameters based on volatility
- Optimize entry spacing and position size allocation
- Introduce additional technical indicators to filter false signals
- Develop adaptive parameter mechanisms to adapt to market changes
- Enhance exit mechanisms by adding profit targets and time-based stops
Summary
The strategy captures trending opportunities through multiple Supertrend indicators and pyramiding entries, while controlling risks with dynamic stop-loss and flexible exit mechanisms. Despite certain limitations, with continuous optimization and strict risk control, the strategy shows good practical application value.
/*backtest
start: 2019-12-23 08:00:00
end: 2025-01-04 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=6
strategy('4Vietnamese 3x Supertrend', overlay=true, max_bars_back=1000, initial_capital = 10000000000, slippage = 2, commission_type = strategy.commission.percent, commission_value = 0.013, default_qty_type=strategy.percent_of_equity, default_qty_value = 33.33, pyramiding = 3, margin_long = 0, margin_short = 0)
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Inputs
// Supertrend Settings
STATRLENGTH1 = input.int(10, title='Fast Supertrend ATR Length', group='SUPERTREND SETTINGS')
STATRMULT1 = input.float(1, title='Fast Supertrend ATR Multiplier', group='SUPERTREND SETTINGS')
STATRLENGTH2 = input.int(11, title='Medium Supertrend ATR Length', group='SUPERTREND SETTINGS')
STATRMULT2 = input.float(2, title='Medium Supertrend ATR Multiplier', group='SUPERTREND SETTINGS')
STATRLENGTH3 = input.int(12, title='Slow Supertrend ATR Length', group='SUPERTREND SETTINGS')
STATRMULT3 = input.float(3, title='Slow Supertrend ATR Multiplier', group='SUPERTREND SETTINGS')
isUseHighestOf2RedCandleSetup = input.bool(false, group = "Setup Filters")
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Calculations
[superTrend1, dir1] = ta.supertrend(STATRMULT1, STATRLENGTH1)
[superTrend2, dir2] = ta.supertrend(STATRMULT2, STATRLENGTH2)
[superTrend3, dir3] = ta.supertrend(STATRMULT3, STATRLENGTH3)
// directionST1 = dir1 == 1 and dir1[1] == 1 ? false : dir1 == -1 and dir1[1] == -1 ? true : false
// directionST2 = dir2 == 1 and dir2[1] == 1 ? false : dir2 == -1 and dir2[1] == -1 ? true : false
// directionST3 = dir3 == 1 and dir3[1] == 1 ? false : dir3 == -1 and dir3[1] == -1 ? true : false
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Calculate highest from supertrend1 uptrend
var float highestGreen = 0
if dir1 < 0 and highestGreen == 0 and (isUseHighestOf2RedCandleSetup ? close < open : true)
highestGreen := high
if highestGreen > 0 and (isUseHighestOf2RedCandleSetup ? close < open : true)
if high > highestGreen
highestGreen := high
if dir1 >= 0
highestGreen := 0
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Entry SL
var entrySL4Long1 = false
var entrySL4Long2 = false
var entrySL4Long3 = false
isUseEntrySL = input.bool(true, group = "Entry SL Option")
dataToCalculate = input.source(low, group = "Entry SL Option")
if isUseEntrySL and (dir1 > 0 and dir2 < 0 and dir3 < 0)
if strategy.opentrades >= 1
if dataToCalculate > strategy.opentrades.entry_price(0)
entrySL4Long1 := true
else
entrySL4Long1 := false
if entrySL4Long1 and close > strategy.opentrades.entry_price(0)
strategy.exit('exit1', from_entry = 'long1', stop = strategy.opentrades.entry_price(0))
if strategy.opentrades >= 2
if dataToCalculate > strategy.opentrades.entry_price(1)
entrySL4Long2 := true
else
entrySL4Long2 := false
if entrySL4Long2 and close > strategy.opentrades.entry_price(1)
strategy.exit('exit2', from_entry = 'long2', stop = strategy.opentrades.entry_price(1))
if strategy.opentrades >= 3
if dataToCalculate > strategy.opentrades.entry_price(2)
entrySL4Long3 := true
else
entrySL4Long3 := false
if entrySL4Long3 and close > strategy.opentrades.entry_price(2)
strategy.exit('exit3', from_entry = 'long3', stop = strategy.opentrades.entry_price(2))
if strategy.closedtrades > strategy.closedtrades[1]
if strategy.closedtrades.exit_id(strategy.closedtrades-1) == 'exit3'
entrySL4Long3 := false
if strategy.closedtrades.exit_id(strategy.closedtrades-1) == 'exit2'
entrySL4Long2 := false
if strategy.closedtrades.exit_id(strategy.closedtrades-1) == 'exit1'
entrySL4Long1 := false
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Entry
if dir3 < 0
if dir2 > 0 and dir1 < 0
strategy.entry('long1', strategy.long)
else if dir2 < 0
strategy.entry('long2', strategy.long, stop=superTrend1)
else
if dir1 < 0 and highestGreen > 0
strategy.entry('long3', strategy.long, stop=highestGreen)
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Exit
isUseAllDowntrendExit = input.bool(true, group = "Exit Type")
if isUseAllDowntrendExit and dir3 > 0 and dir2 > 0 and dir1 > 0 and close < open
strategy.close_all()
isUseAvgPriceInLoss = input.bool(true, group = "Exit Type")
if isUseAvgPriceInLoss and strategy.position_avg_price > close //and strategy.position_avg_price <= close[1]
// and (dir1 > 0 or dir2 > 0 or dir3 > 0)
// and strategy.opentrades >= 1
// and strategy.opentrades >= 3
strategy.close_all()
isUseAllPositionsInLoss = input.bool(false, group = "Exit Type")
if isUseAllPositionsInLoss
and (
false
or (strategy.opentrades == 1 and ((not na(strategy.opentrades.entry_price(0))) and strategy.opentrades.entry_price(0) > close))
or (strategy.opentrades == 1 and ((not na(strategy.opentrades.entry_price(0))) and strategy.opentrades.entry_price(0) > close)
and ((not na(strategy.opentrades.entry_price(1))) and strategy.opentrades.entry_price(1) > close))
or (strategy.opentrades == 1 and ((not na(strategy.opentrades.entry_price(0))) and strategy.opentrades.entry_price(0) > close)
and ((not na(strategy.opentrades.entry_price(1))) and strategy.opentrades.entry_price(1) > close)
and ((not na(strategy.opentrades.entry_price(2))) and strategy.opentrades.entry_price(2) > close))
)
strategy.close_all()
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Plot
plot(superTrend1, title='Fast Supertrend', color=dir1 == 1 and dir1[1] == 1 ? color.red : dir1 == -1 and dir1[1] == -1 ? color.green : na)
plot(superTrend2, title='Medium Supertrend', color=dir2 == 1 and dir2[1] == 1 ? color.red : dir2 == -1 and dir2[1] == -1 ? color.green : na)
plot(superTrend3, title='Slow Supertrend', color=dir3 == 1 and dir3[1] == 1 ? color.red : dir3 == -1 and dir3[1] == -1 ? color.green : na)
Related
- Precision Trading Strategy and Risk Management System Based on SuperTrend Indicator
- RSI and Supertrend Trend-Following Adaptive Volatility Strategy
- Adaptive Trend Following Dynamic Trend Recognition Trading Strategy
- Large Volatility Breakout Dual-Direction Trading Strategy: Point-Based Threshold Entry System
- Double Supertrend Multi-Step Trailing Take-Profit Strategy
- Multi-Equilibrium Price Trend Following and Reversal Trading Strategy
- Dynamic Optimized Supertrend Trading Strategy
- Advanced Trend Following Strategy with Adaptive Trailing Stop
- Enhanced Trend Multi-Signal Dynamic Trading Strategy
- Supertrend and EMA Crossover Quantitative Trading Strategy
More
- Long-term Trend SMA Crossover Quantitative Strategy
- Multi-Technical Indicator Fusion Trend Following Quantitative Trading Strategy
- Multi-Technical Indicator Momentum-MA Trend Following Strategy
- Triple EMA Crossover Trading System with Smart R2R-based Stop Loss Management
- Dynamic Volatility-Driven High-Frequency EMA Crossover Quantitative Strategy
- Dual Technical Indicator Momentum Reversal Trading Strategy with Risk Management System
- Multi-Timeframe Quantitative Trading Strategy Based on EMA-Smoothed RSI and ATR Dynamic Stop-Loss/Take-Profit
- Adaptive Fibonacci Bollinger Bands Strategy Analysis
- Multi-Timeframe Candlestick Pattern Trading Strategy
- Multi-Timeframe Supertrend Dynamic Trend Trading Algorithm