Multi Timeframe Stochastic Oscillator Strategy with Trend Confirmation Trading System

Pine ScriptTrend following Multi-timeframe Mean reversion SMA Stochastic

Author: ChaoZhang
Complexity: Starter · 88 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 trading system based on Multi-Timeframe Stochastic Oscillator, combining trend confirmation and price pattern analysis. The strategy utilizes three timeframes (15-minute, 30-minute, and 60-minute), identifying trading opportunities through Stochastic crossover signals and confirmation of Higher Highs and Lower Lows patterns. It also implements fixed percentage stop-loss and take-profit settings to control risk and secure profits.

Strategy Principles

The core logic includes the following key components:

Uses Stochastic indicators across three different timeframes (15-minute, 30-minute, 60-minute) to analyze market direction
On the main timeframe (15-minute), generates buy signals when K-line crosses above D-line in oversold territory, confirmed by Higher Low patterns
Similarly, generates sell signals when K-line crosses below D-line in overbought territory, confirmed by Lower High patterns
Implements 3.7% stop-loss and 1.8% take-profit targets to manage risk and reward for each trade

Strategy Advantages

Multi-timeframe analysis provides a more comprehensive market perspective, better filtering false signals
Integration of price pattern analysis increases signal reliability
Fixed risk management parameters ensure stable and controllable trading outcomes
Strategy is well-suited for markets with higher volatility
Automated entry and exit signals reduce emotional impact from subjective judgment

Strategy Risks

May generate frequent false signals in ranging markets
Fixed stop-loss and take-profit settings may not suit all market conditions
Multi-timeframe signals may experience lag
Take-profit settings may lock in profits too early in strong trend markets
Requires substantial capital management to accommodate 3.7% stop-loss range

Strategy Optimization Directions

Consider implementing dynamic stop-loss and take-profit targets based on market volatility
Add volume indicators as auxiliary confirmation signals
Introduce trend strength indicators to improve performance in ranging markets
Optimize weighting between different timeframes
Consider adding market sentiment indicators to improve signal accuracy

Summary

This is a comprehensive trading system combining multi-timeframe analysis and trend confirmation. Through the coordinated use of Stochastic indicators and price patterns, it effectively captures market turning points. While the fixed risk management parameters are simple, they ensure consistency in trading. The strategy is suitable for volatile markets, but traders still need to optimize parameters according to specific market conditions.

Source Pine Script

/*backtest
start: 2025-01-19 00:00:00
end: 2025-02-18 00:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
strategy("Swing Fairas Oil", overlay=true)

// Pilih Timeframe Utama & 2 Timeframe Konfirmasi
tf_main = "15"
tf_mid = "30"
tf_high = "60"

// Parameter Stochastic
length = input(15, title="Stochastic Length")
k_smooth = input(4, title="K Smoothing")
d_smooth = input(5, title="D Smoothing")

// Overbought & Oversold Levels
overbought = input(85, title="Overbought Level")
oversold = input(15, title="Oversold Level")

// Stochastic pada Timeframe Utama
k1 = ta.sma(ta.stoch(close, high, low, length), k_smooth)
d1 = ta.sma(k1, d_smooth)

// Stochastic pada Timeframe Menengah
k2 = request.security(syminfo.tickerid, tf_mid, ta.sma(ta.stoch(close, high, low, length), k_smooth))
d2 = request.security(syminfo.tickerid, tf_mid, ta.sma(k2, d_smooth))

// Stochastic pada Timeframe Tinggi
k3 = request.security(syminfo.tickerid, tf_high, ta.sma(ta.stoch(close, high, low, length), k_smooth))
d3 = request.security(syminfo.tickerid, tf_high, ta.sma(k3, d_smooth))

// **Konfirmasi Higher High & Lower Low**
hh = ta.highest(high, 5)   // Highest High dalam 5 candle terakhir
ll = ta.lowest(low, 5)     // Lowest Low dalam 5 candle terakhir

// **Kondisi Buy**
confirm_buy = ta.crossover(k1, d1) and k1 < oversold  // Stochastic Bullish
higher_low = low > ta.lowest(low[1], 5)  // Higher Low terbentuk

longCondition = confirm_buy and higher_low

// **Kondisi Sell**
confirm_sell = ta.crossunder(k1, d1) and k1 > overbought  // Stochastic Bearish
lower_high = high < ta.highest(high[1], 5)  // Lower High terbentuk

shortCondition = confirm_sell and lower_high

// Stop Loss & Take Profit
sl = input(3.7, title="Stop Loss (%)") / 100
tp = input(1.8, title="Take Profit (%)") / 100

longStopLoss = close * (1 - sl)
longTakeProfit = close * (1 + tp)

shortStopLoss = close * (1 + sl)
shortTakeProfit = close * (1 - tp)

// Eksekusi Order
if longCondition
    strategy.entry("Buy", strategy.long)
    strategy.exit("Sell TP/SL", from_entry="Buy", stop=longStopLoss, limit=longTakeProfit)

if shortCondition
    strategy.entry("Sell", strategy.short)
    strategy.exit("Cover TP/SL", from_entry="Sell", stop=shortStopLoss, limit=shortTakeProfit)

// Label Buy & Sell
if longCondition
    label.new(bar_index, low, "BUY", color=color.green, textcolor=color.white, size=size.small, style=label.style_label_down)

if shortCondition
    label.new(bar_index, high, "SELL", color=color.red, textcolor=color.white, size=size.small, style=label.style_label_up)

// Label Stop Loss & Take Profit
if longCondition
    label.new(bar_index, longStopLoss, "SL: " + str.tostring(longStopLoss, "#.##"), color=color.red, textcolor=color.white, size=size.small, style=label.style_label_left)
    label.new(bar_index, longTakeProfit, "TP: " + str.tostring(longTakeProfit, "#.##"), color=color.green, textcolor=color.white, size=size.small, style=label.style_label_left)

if shortCondition
    label.new(bar_index, shortStopLoss, "SL: " + str.tostring(shortStopLoss, "#.##"), color=color.red, textcolor=color.white, size=size.small, style=label.style_label_left)
    label.new(bar_index, shortTakeProfit, "TP: " + str.tostring(shortTakeProfit, "#.##"), color=color.green, textcolor=color.white, size=size.small, style=label.style_label_left)

Published by ChaoZhang on the FMZ strategy square · last modified 2025-02-19. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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