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[blackcat] L1 MartinGale Scalping Strategy

Script from: TradingView

Swing

Scalping

Martingale

The [blackcat] L1 MartinGale Scalping Strategy combines the principles of the MartinGale money management system with scalping techniques based on moving average crossovers and crossunders. In this strategy, position sizes are doubled after a loss to recoup losses and profit. Scalping is executed using SMA indicators to trigger trades when short-term trends shift, with defined take profit and stop loss levels. This strategy requires careful risk management and is coded in Pine Script for TradingView.

RENDER / TetherUS (RENDERUSDT)

+ [blackcat] L1 MartinGale Scalping Strategy

@ Daily

2.25

Risk Reward

1,628.08 %

Total ROI

322

Total Trades

Aptos (APTOUSD)

+ [blackcat] L1 MartinGale Scalping Strategy

@ Daily

2.19

Risk Reward

1,360.82 %

Total ROI

257

Total Trades

GALA / TetherUS (GALAUSDT)

+ [blackcat] L1 MartinGale Scalping Strategy

@ Daily

2.08

Risk Reward

1,875.27 %

Total ROI

333

Total Trades

AAVE / TetherUS (AAVEUSDT)

+ [blackcat] L1 MartinGale Scalping Strategy

@ Daily

1.64

Risk Reward

1,253.18 %

Total ROI

474

Total Trades

KAIA / TetherUS (KAIAUSDT)

+ [blackcat] L1 MartinGale Scalping Strategy

@ 4 h

1.57

Risk Reward

276.89 %

Total ROI

289

Total Trades

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

3.54

Risk Reward

4,313.11 %

Total ROI

438

Total Trades

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

3.14

Risk Reward

1,857.07 %

Total ROI

182

Total Trades

Sirius XM Holdings Inc. (SIRI)

+ [blackcat] L1 MartinGale Scalping Strategy

@ 2 h

1.73

Risk Reward

2,306.29 %

Total ROI

4376

Total Trades

Marathon Digital Holdings, Inc. (MARA)

+ [blackcat] L1 MartinGale Scalping Strategy

@ 4 h

1.68

Risk Reward

3,868.93 %

Total ROI

1556

Total Trades

Blue Owl Capital Inc. (OWL)

+ [blackcat] L1 MartinGale Scalping Strategy

@ 4 h

1.67

Risk Reward

503.14 %

Total ROI

594

Total Trades

Palantir Technologies Inc. (PLTR)

+ [blackcat] L1 MartinGale Scalping Strategy

@ 1 h

1.66

Risk Reward

1,523.06 %

Total ROI

2149

Total Trades

Energy Transfer LP (ET)

+ [blackcat] L1 MartinGale Scalping Strategy

@ 2 h

1.63

Risk Reward

2,191.92 %

Total ROI

5206

Total Trades
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Guide

How does the [blackcat] L1 MartinGale Scalping Strategy strategy work ?

The [blackcat] L1 MartinGale Scalping Strategy on TradingView incorporates a crucial component of the MartinGale money management strategy, which is to double the position size after a loss, with a scalping approach using moving averages. This strategy combines the aggressive recovery technique of the MartinGale Strategy with frequent, small trades to profit from market fluctuations.

The strategy script initializes by accepting user-defined input variables such as take profit level, stop loss level, and the preferred trading mode (long, short, or bidirectional). Crucially, it defines a rule to allow only long entries when the trading mode is set to "Long".

The core of the trading logic relies on two Simple Moving Averages, SMA3 and SMA8. A crossover or crossunder between these two averages triggers entry signals. When in a non-existent or neutral position, if a crossover indicating a bullish trend occurs, and long trading is permissible, the strategy initiates a long position. On the other hand, if a crossunder indicating a bearish trend occurs and short trading is allowable, a short position is taken. This is executed with respect to the defined take profit and stop loss levels, which are calculated from the SMA8 and current close price.

Positions are closed when the price hits either the take profit level or the stop loss threshold, coinciding with a crossover or crossunder event that signifies an opposing market trend.

Lastly, entries and exits are visually represented on the chart using triangles to denote buy and sell signals for clear interpretation of trade points. While this strategy aims to capitalize on small profit margins, its effectiveness is tied to the accuracy of the moving average signals and adherence to the preset risk parameters.

How to use the [blackcat] L1 MartinGale Scalping Strategy strategy ?

This trading strategy is a scalping method using a simple moving average (SMA) crossover as the entry signal on a chart where positions are pyramided up to 5 times. A buy signal is generated when the 3-period SMA crosses above the 8-period SMA, and a sell signal is when the 3-period SMA crosses below the 8-period SMA. The strategy employs takeProfit and stopLoss multipliers for defining exit conditions.

To trade this strategy manually on TradingView:

  • Add two SMA indicators to your chart: one with a period of 3, the other with a period of 8.
  • Watch for a crossover of the 3-period SMA above the 8-period SMA to take a long position.
  • Set your takeProfit level at 3% above the entry price and your stopLoss at 5% below the entry price, adjusting for the market you are trading.
  • If you are taking multiple positions (pyramiding), do not exceed 5 open trades at once.
  • Exit your long position when the price hits either takeProfit level or stopLoss level or if a crossunder signal appears (3 SMA falls below 8 SMA).
  • For short positions, take the inverse actions: enter on crossunder, take profit at 3% below entry, stop loss at 5% above, and exit on crossover or takeProfit/stopLoss.
  • Use plot shapes to visually identify entry and exit points: a green triangle below the bar for buy entry, a red triangle above the bar for sell entry, and inverse for exits.

How to optimize the [blackcat] L1 MartinGale Scalping Strategy trading strategy ?

Improving the [blackcat] L1 MartinGale Scalping Strategy for manual trading on TradingView involves refining entry and exit conditions, managing risk effectively, and adapting to market conditions. Here is a concise plan focusing on these aspects to enhance the strategy:

  • Expand Technical Analysis: Dive deeper into chart analysis by incorporating additional indicators such as RSI or MACD to validate entry signals from the SMA crossover. This cross-verification can help avoid false signals.
  • Optimize SMA Periods: Experiment with different SMA periods to identify the combination that aligns best with the specific market and its volatility. Test periods like 5 and 10 or 10 and 20 to find the optimal crossover points for entries.
  • Apply Price Action: Supplement the SMA signals with price action patterns, like support/resistance, candlestick formations, and trend lines to confirm entries and exits; thereby enhancing the predictive strength of the strategy.
  • Introduce Volume Analysis: Add a volume filter to ensure entries occur with sufficient market participation. Avoid trades during low volume as they may lack the momentum required for the strategy's success.
  • Adjust Risk Parameters: Instead of using fixed percentage levels for stop loss and take profit, incorporate adaptable stops such as trailing stops or volatility-based stop losses like the Average True Range (ATR) to protect gains and limit losses dynamically.
  • Reassess the MartinGale Component: Since the MartinGale approach entails significant risk by doubling down on losses, consider a cap on the consecutive loss escalation or integrate a decrease factor to curtail the impact of a losing streak while preserving capital.
  • Integrate Sentiment Analysis: Keep an eye on market sentiment via newsfeeds, economic calendars, and trader forums. Understanding the general trader sentiment can provide insights into potential market movements that are not always reflected in the charts.
  • Document Trade Performance: Keep a detailed journal of trades complete with reasoning for entries and exits. Regularly review to learn from successes and failures, and use these insights for continuous refinement of the strategy.
  • Continual Backtesting: Schedule periodic backtesting sessions using historical data to evaluate the efficacy of any new adjustments. Apply variations in market conditions and stress test the strategy to ensure its robustness.

For which kind of traders is the [blackcat] L1 MartinGale Scalping Strategy strategy suitable ?

The [blackcat] L1 MartinGale Scalping Strategy is designed for traders who are comfortable with high-risk, high-frequency trading. It caters to scalpers who are adept at fast-paced decision-making and are capable of closely monitoring short-term price movements to capitalize on small, frequent profits. The ideal users of this strategy are:

  • Active Day Traders: Individuals who can dedicate significant time to trading activities during market hours and execute a high volume of trades.
  • Risk-Tolerant Traders: Those who have a higher risk appetite and can handle the psychological pressures of potential losing streaks inherent in the MartinGale component.
  • Quick Decision Makers: Traders who can make rapid trading decisions based on technical indicators and market developments.
  • Technical Analysis Enthusiasts: Individuals who enjoy using indicators like moving averages and are familiar with scripting and automation in platforms like TradingView.

This strategy leans toward aggressively pursuing profit through leveraging and may not be suitable for traders with a conservative risk profile or those looking for longer-term investment opportunities.

Key Takeaways of [blackcat] L1 MartinGale Scalping Strategy

  • Strategy Essence: A scalping approach utilizing SMA crossovers with a high-risk MartinGale money management component.
  • How it Works: Enters long positions on the 3-period SMA crossing above the 8-period SMA and short positions on the inverse, aiming for frequent, small gains.
  • Automation: Coded in TradingView's Pine Script for automation, also allows for manual adjustments or employing alerts for trade entries and exits.
  • User Base: Best suited for active day traders with high risk tolerance and proficiency in technical analysis and trading platform tools.
  • To Enhance: Integrate additional technical analysis tools like RSI or MACD, adapt SMA periods, apply price action, and include volume to refine entry signals.
  • Risk Management: Avoid fixed percentage risk parameters in favor of dynamic methods like trailing stops or ATR-based stop losses, and maintain a disciplined cap on MartinGale scaling.
  • Optimization: Regularly backtest any strategy modifications and maintain a trade journal to learn and improve from past performance.
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