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Macro Score - DFMA-Based

Script from: TradingView

Intraday

Trend following

Momentum

Volatility

The Macro Score DFMA-Based strategy encapsulates a composite signal approach that combines weighted macro scores, derived from multiple indicators, with the Democratic Fibonacci Moving Average (DFMA). Weights are assigned to crossovers between the DFMA and Fibonacci MA's, as well as other technical signals such as DPO, CMO, Jurik Volatility Bands, and Stoch RSI. For additional clarity, a macro score line and a momentum indicator are plotted, aiding in the identification of entry and exit points. The strategy parameters include predefined take profit, stop loss, and trailing percentages for comprehensive trade management.

FTX Token (FTTUSD)

+ Macro Score - DFMA-Based

@ Daily

2.37

Risk Reward

19.24 %

Total ROI

16

Total Trades

RUNE / US Dollar (RUNEUSD)

+ Macro Score - DFMA-Based

@ 4 h

1.62

Risk Reward

42.66 %

Total ROI

122

Total Trades

IMX / US Dollar (IMXUSD)

+ Macro Score - DFMA-Based

@ 2 h

1.58

Risk Reward

129.16 %

Total ROI

269

Total Trades

Ethereum / TetherUS (ETHUSDT)

+ Macro Score - DFMA-Based

@ 4 h

1.53

Risk Reward

40.72 %

Total ROI

144

Total Trades

RUNE / US Dollar (RUNEUSD)

+ Macro Score - DFMA-Based

@ 2 h

1.49

Risk Reward

80.76 %

Total ROI

234

Total Trades

Premium users only

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

@ 2 h

9.96

Risk Reward

17.40 %

Total ROI

18

Total Trades

Premium users only

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

@ 2 h

6.65

Risk Reward

18.14 %

Total ROI

17

Total Trades

Home Depot, Inc. (The) (HD)

+ Macro Score - DFMA-Based

@ 2 h

2.40

Risk Reward

26.99 %

Total ROI

59

Total Trades

ChargePoint Holdings, Inc. (CHPT)

+ Macro Score - DFMA-Based

@ 1 h

2.35

Risk Reward

42.21 %

Total ROI

83

Total Trades

Elevation Oncology, Inc. (ELEV)

+ Macro Score - DFMA-Based

@ 2 h

2.31

Risk Reward

5.25 %

Total ROI

21

Total Trades

Accenture plc (ACN)

+ Macro Score - DFMA-Based

@ 4 h

2.24

Risk Reward

7.43 %

Total ROI

25

Total Trades

Nordstrom, Inc. (JWN)

+ Macro Score - DFMA-Based

@ 4 h

2.19

Risk Reward

4.54 %

Total ROI

17

Total Trades
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Guide

How does the Macro Score - DFMA-Based strategy work ?

The Macro Score - DFMA-Based strategy hinges on a composite indicator known as the macro score, which incorporates various signals each assigned with a weight. Each signal is quantified as positive or negative depending on its condition, consolidating to a singular score that streamlines the decision-making process. Unlike strategies where all indicators must align, this allows for a varied combination of active signals to prompt trade entries.

The foundation of this strategy lies with the Democratic Fibonacci Moving Average (DFMA), an average of ten Fibonacci-based moving averages ranging from lengths of 3 to 233. This amalgamation serves to offer a consensus view on the market trend, with crossovers between the DFMA, specific Fibonacci MAs, and price dictating trade signals.

Heavier weight is placed on the DFMA and the longest Fib MA crossovers. Other components like the Detrended Price Oscillator, Chande Momentum Oscillator, Jurik Volatility Bands, and Stoch RSI contribute lighter weights to the macro score.

This macro score is visualized as a white line across a spectrum from -10 to +10, accompanied by a blue macro momentum line. Trades are triggered by the interplay between these lines alongside established thresholds.

To complement the strategy, it includes parameters for take profit, stop loss, and trailing stops, customizable within the 'TT and TTP' and 'Stop Loss' sections, ensuring users can tailor their risk/reward preferences.

Additions like ATR stop loss and customizable thresholds for long/short positions have been integrated into recent updates, refining the strategy's adaptability and precision.

How to use the Macro Score - DFMA-Based strategy ?

Unfortunately, you have not provided a script to analyze. Please share the TradingView script you would like explained in order to receive assistance with understanding the strategy and how to implement it manually.

How to optimize the Macro Score - DFMA-Based trading strategy ?

This trading strategy operates on a scoring system that combines the weighting of diverse technical signals to create a singular macro score, which is used to determine entry and exit points. By leveraging the Democratic Fibonacci Moving Average (DFMA) along with other indicators like the DPO, CMO, Jurik Volatility Bands, and Stoch RSI, the strategy generates long and short signals. These signals, each carrying different importance, contribute to the overall score that dictates market position stances.

To trade this strategy manually on TradingView, one should follow a systematic approach:

  • Configure Indicators: Begin by plotting the DFMA on your chart. Since this is an average of Fibonacci MAs from lengths 3 to 233, you would need to calculate and plot these MAs and then compute their average for the DFMA line. Next, add the DPO, CMO, Jurik Volatility Bands, and Stoch RSI indicators.
  • Analyze Crossovers: Watch for crossovers between the DFMA and the price or individual Fibonacci MAs. Assign a higher score to these crossovers due to their weight in the strategy.
  • Signal Weights: Develop a scoring system where you assign weights to the indicators based on their importance in generating a signal. For instance, you might decide that a DFMA crossover is worth 2 points while a DPO signal is worth 1 point.
  • Thresholds: Define clear thresholds for entry and exit points based on your scoring system. For example, you may establish a macro score above +5 for a long entry and below -5 for a short entry.
  • Trade Management: Set your take profit (TP) and stop loss (SL) levels in accordance with your risk tolerance. You could configure TP and SL as a percentage of your entry price to automate this aspect. Keep an eye on the macro score for trailing your stop or taking profit early if the score starts to reverse before hitting your predefined TP or SL.
  • Manual Scoring: While the pre-coded strategy automatically calculates the macro score, manually you must note the signals and add or subtract from your score accordingly. Keep a notebook or spreadsheet to track the score over time.
  • Discretionary Adjustments: Use your discretion to adjust weights or entry/exit thresholds based on market conditions or performance.

For which kind of traders is the Macro Score - DFMA-Based strategy suitable ?

This strategy is well-suited for traders who value a systematic, indicator-based approach to the markets. Its reliance on a macro score informed by technical signals makes it appropriate for:

  • Quantitative Traders: Those who prefer to base their decisions on numerical data and enjoy working with a quantifiable method of assessing trade opportunities.
  • Swing Traders: Individuals looking to capitalize on medium-term market trends, as the use of Fibonacci Moving Averages helps to smooth out short-term volatility.
  • Technical Analysts: Traders with a penchant for technical analysis will appreciate the integration of indicators like the DPO, CMO, and Stoch RSI.

The strategy aligns with a discretionary trading style where the trader has the flexibility to adjust indicator weights and thresholds to cater to evolving market environments or personal risk profiles.

Key Takeaways of Macro Score - DFMA-Based

  • Strategy Essence: Utilizes a macro score derived from weighted technical signals, coupled with the DFMA, to decide market entry and exit points.
  • Operational Mechanism: Scores from indicators like DPO, CMO, Jurik Volatility Bands, and Stoch RSI dictate the overall trading signal based on predefined weights and thresholds.
  • Manual Implementation: Involves plotting several indicators on TradingView, manually scoring each signal, and adhering to calculated entry and exit thresholds for trade execution.
  • Automation Option: Profitview’s automation or TradingView alerts facilitate setting up and executing trades based on strategy signals.
  • Optimization Approach: Discretionary adjustments to signal weights and thresholds to align with market conditions and personal risk tolerance.
  • Risk Management: Incorporates stop loss, take profit, and trailing stops, with the flexibility to adjust the TP/SL ratio to manage risk efficiently.
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