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Center of Gravity Safe

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This trading strategy uses ehlers center of gravity indicator and was created with an algorithm that works in Safe mode. Safe Mode trading strategies that trade between the 7th and the 21st of each month generally work with lower leverage and higher accuracy. Therefore, buying and selling transactions take place within 2 weeks every month.

COG has essentially zero lag and enables clear identification of turning points. COG is a tool that helps to identify support and resistance levels. The classic form of the indicator is as a oscillator, formed by means of a weighted moving average. On the basis of this classic form, the center of the price is calculated, and price corridors define the prive movement into the channels.

For detailed explanation, please check Center of Gravity Safe specifications.
You can review how to use document for manually trading or automated execution.

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Description

Studies

Center of Gravity (COG)

The Center of Gravity indicator (COG) is an oscillator based on an article by John F. Ehlers on page 20 of the May 2002 issue of Stocks and Commodities Magazine. COG has essentially zero lag and enables clear identification of turning points. COG is a tool that helps to identify support and resistance levels. The classic form of the indicator is as a oscillator, formed by means of a weighted moving average. On the basis of this classic form, the center of the price is calculated, and price corridors define the prive movement into the channels.

We use Center of Gravity (COG) as a basis of our trading strategy and make some linear regression calculations to define the trigger and signal points for buying or selling areas.

Feature

This trading strategy uses ehlers center of gravity indicator and was created with an algorithm that works in Safe mode. Safe Mode trading strategies that trade between the 7th and the 21st of each month generally work with lower leverage and higher accuracy. Therefore, buying and selling transactions take place within 2 weeks every month.

Signal Management

Signal management works on a two-layer architecture. Accordingly, when the triggering conditions occur, the decisions to buy-sell or close the position and open another position are automatically evaluated through these layers.

Signal management always waits for the candlestick close time to take a trade position and enter the position with the incoming buy or sell signal. For this reason, position entry transactions are made not at the moment the signal is given, but when that candlestick is closed and a new candlestick begins and if the signal still exists. Take profit or stop loss signals are executed as soon as signal is given, without waiting for the candlestick close time.

Although there are more than one triggering factor on the same candle, it may not be possible to buy-sell or close a position on that candle. Decision moments are evaluated by looking at more than one parameter on the back and a decision is made as a result of this evaluation. Basically, until an open position is closed, another position cannot be opened.

This feature has been developed to prevent the possibility of exponentially increased and possible reversed positioning. Thus, all transactions can be carried out in accordance with real-time trading.

Important Notes for Backtest Results

  • This trading strategy has been tested on multiple parities, multiple centralized exchanges, multiple timeframes based on transactions between 01.01.2021 and 31.12.2021.
  • There are multiple parametric algorithms behind this trading strategy, and the content, number, behavior and outputs of these parametric algorithms are the main factors in determining the trading strategy.
  • This trading strategy organized with parametric algorithms, there are areas for users to change and customize according to their own decisions.
  • You can use this trading strategy to trade with any parity, any exchange or platform, any timeframe. This backtest results are only shown as examples and capabilities of trading strategy.

Just to give you an idea!

You can see some of the best results that came out of these tests with several timeframes and few pairs as follows.

Backtest Scenario 1

  • Parity: BTCUSDTPERP
  • Net Profit: 1589x
  • Accuracy: 86%
  • Timeframe: 4H

Backtest Scenario 2

  • Parity: AAPLUSD
  • Net Profit: 3.10x
  • Accuracy: 91%
  • Timeframe: 1W

Backtest Scenario 3

  • Parity: DOTUSDT
  • Net Profit: 8.80x
  • Accuracy: 75%
  • Timeframe: 1H

Important Notes

  • The results of real-time trading may change depending on the timeframe, parameters, parities and leveraged exchanges.
  • The commission rate realized in real-time trading transactions is accepted as 0.004. The commission rate can be adjusted from the strategy parameters according to the platform on which the transactions will be executed.
  • Real-time trade data can also be observed in the transactions.
  • This trading strategy is closed-source, Invite-only and NOT free.
  • Permission will be automatically granted in 24 hours for who subscribed for this trading strategy with related strategy short code from our website.

Additional information

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