Turtle Trend Trading System
This strategy is the actual code implementation of the famous Turtle trading system, using a 55-period channel for entry signals and a 20-period channel for exit signals to track longer-term trends, belonging to the…

Overview
This strategy is the actual code implementation of the famous Turtle trading system, using a 55-period channel for entry signals and a 20-period channel for exit signals to track longer-term trends, belonging to the trend-following strategy type.
Strategy Logic
The strategy is mainly based on two indicators: the 55-period highest price (HI) and lowest price (LO) to construct the entry channel, and the 20-period highest price (hi) and lowest price (lo) to construct the exit channel.
When the price breaks above the 55-period channel, a buy signal is generated; when the price breaks below the 55-period channel, a sell signal is generated. This is the typical trend-following entry logic.
When the price breaks below the 20-period channel, long positions are closed; when the price breaks above the 20-period channel, short positions are closed. This is the exit logic of the strategy.
The strategy also plots the 55-period channel and 20-period channel, which can visually see the entry and exit points of the strategy.
Advantage Analysis
The main advantages of this strategy are:
- Tracking mid-to-long-term trends with relatively small drawdowns
- Clear entry signals using channel principle and good drawdown control
- Strict exit mechanism to avoid losses from reversals
- Simple parameter settings, easy to implement
Risk Analysis
There are also some risks with this strategy:
- Unable to capture short-term opportunities, relatively weak profitability
- Unable to cope with sudden events, prone to stop loss
- Cannot effectively control excessive losses in one-way markets
- Very sensitive to parameters
The risks can be reduced through:
- Parameter optimization to find optimal combinations
- Adding stop loss strategies to control one-way market losses
- Combining other indicators to identify potential reversal opportunities
Optimization Directions
The strategy can be optimized in several aspects:
- Optimize parameters of entry and exit channels to find optimal combination
- Add volatility indicators to avoid choppy markets
- Combine trading volume indicators to ensure amplified volumes on entry signals
- Add moving stop loss strategies to follow dynamic stop loss lines
- Combine multiple timeframes for comprehensive multi-timeframe trading
Conclusion
In summary, this is a very typical trend-following strategy, using channels to capture mid-to-long term trends with good drawdown control. It also has some typical issues of trend-following strategies, like insufficient trend capturing ability and difficulty dealing with reversals. With comprehensive optimizations, the advantages can be fully realized to become a reliable quantitative strategy.
Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_1 | 55 | Entry Length |
| v_input_2 | 20 | Exit Length |
Source Pine Script
/*backtest
start: 2023-11-19 00:00:00
end: 2023-12-19 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © racer8
//@version=4
strategy("Turtle System", overlay=true)
n = input(55,"Entry Length")
e = input(20,"Exit Length")
HI = highest(n)
LO = lowest(n)
hi = highest(e)
lo = lowest(e)
if close>HI[1]
strategy.entry("Buy", strategy.long)
if close<LO[1]
strategy.entry("Sell", strategy.short)
if low<lo[1]
strategy.close("Buy")
if high>hi[1]
strategy.close("Sell")
plot(HI,color=color.lime)
plot(LO,color=color.red)
plot(hi,color=color.blue)
plot(lo,color=color.maroon)
Published by ChaoZhang on the FMZ strategy square · last modified 2023-12-20. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
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Understand it first
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