Overview

Steadfast as a Rock Turtle strategy is a quantitative trading strategy that follows the rules of the Brady turtle trading methodology. It uses price breakout to enter positions and stops tracking stops for exit. It calculates position sizing based on true volatility and strictly controls losses per trade. The strategy has long-term stability in operation and strong tolerance for drawdowns, much like steadfast rocks.

Principle

Entry Rule

Steadfast as a Rock Turtle strategy enters on breakouts. Specifically, it calculates the highest high and lowest low over the specified lookback period. When price breaks above highest high, it goes long. When price breaks below lowest low, it goes short.

For example, with an entry period set to 20 bars, the strategy extracts the highest high and lowest low over the past 20 bars. If the close of the current bar exceeds the highest high of past 20 bars, the strategy would place a long stop order at that close price to prepare for breakout above the highest high.

Exit Rule

Steadfast as a Rock Turtle strategy exits with stops tracking stops. It dynamically calculates highest high and lowest low over the specified exit period and uses them to determine the exit channel.

If holding long, once price drops below the lowest low of exit channel, the position would stop out. Vice versa for short position.

Additionally, the strategy calculates a stop-loss level based on true volatility, which serves as the final stop. As long as price remains above exit channel, the stop-loss will keep tracking and adjusting, making sure the stops are set at appropriate distances—not too tight for unnecessary stopouts, not too loose for risk control.

Position Sizing

Steadfast as a Rock Turtle strategy sizes its positions based on true volatility. Specifically, it first estimates the potential loss percentage near entry price, then reverse calculates position size from expected risk parameter. This effectively controls the max loss per trade.

Advantage Analysis

Steady Operation

Steadfast as a Rock Turtle strategy adheres strictly to classic turtle trading rules on entries and exits without arbitrary modifications. This allows the strategy to run steadily for the long haul without system failure due to temporary poor judgement.

Drawdown Resilience

By entering on breakouts, the strategy avoids overvalued entries effectively, reducing the probability of system losses. And by exiting with stops tracking stops, it ensures max loss per trade is controlled to largely prevent consecutive losses leading to deep drawdowns.

Risk Containability

By sizing based on true volatility, the strategy strictly controls the max loss per trade within tolerance. And by tracking stop distances, it can cut losses in time to effectively contain risks.

Risk Analysis

Breakdown Failure Risk

If price breaks out with low momentum, it may turn out to be false signal causing wrong entry losses. Parameters would need adjustment with more entry confirmation rules to avoid ineffective breakout noise.

Parameter Optimization Risk

Static strategy parameters like entry/exit periods could become invalid if market regime changes drastically. These parameters would need reevaluation and re-optimization to adapt.

Technical Indicator Failure Risk

Indicators used like price breakout flags could fail when trend or volatility changes significantly. More techniques would need integration to improve strategy reliability.

Optimization Directions

Add Trend Filter

Common trend indicators like MA, MACD can be added. Go long only in uptrend and short only in downtrend to avoid countertrend whipsaws.

Timeframe Synthesis

Higher timeframe indicators, e.g. Daily MA levels, can help confirm overall direction to supplement lower timeframe signals.

Dynamic Parameter Tuning

Machine learning can auto update strategy parameters continually based on latest data to maintain efficacy in changing market dynamics.

Summary

Steadfast as a Rock Turtle strategy follows the classic turtle trading methodology strictly—breakout entry and tracking stop exit with stringent risk control. This allows long-term steady operations with strong drawdown resilience. Despite risks like false breakout, parameter failure etc, these can be effectively mitigated via additions like trend filter, timeframe synthesis, dynamic tuning etc to significantly improve strategy stability. Overall an excellently robust strategy well worth trusting and holding.