Maddrix_club III
Maddrix club III is an advanced trading algorithm that goes long and short in spite of the market condition. It aims to capture large moves. It is the fruit of over a thousand hours of work, trials, errors, research, etc.
The theory behind it is based on probabilities, human emotions, and repetition in market patterns.
Very good results have been observed on the 15 min time frame though it technically works on all timeframe (5 min for example, 1 hour also). On the example above
ETHUSDT
– 15 min, the back test shows consistency in the results for the last 2 years.
Results have also shown great adaptability, meaning the total profits don’t change considerably when we play with settings. This is very good because even if you try to fine tune a set of settings to the past, the probability that it keeps working in the future is rather high.
It works on many markets as long as there is sufficient activity to create patterns and repetition.
There are 5 main variables to adjust the indicator:
Framework length – Use this to establish the environment. Shorter length = volatile environment. Longer length = steadier.
Framework multiplier – Use this to adjust the environment to the asset. Lower value for less volatile price action and higher value for very volatile price action.
Search timeframe – Use this to lookback for a fractal. In theory, the longer the lookback the more reliable the fractal recognition.
Trigger line – Use this to adjust the trigger level. In theory, the lower the trigger the more signals you get.
Threshold – Use this to filter the signals. The higher the threshold, the less signal you get.
The best way to go about changing the settings, is to start off the default value. I’d do a monthly check-in playing with few of them and readjusting based on results from the exchange.
The indicator can be used by considering 100% of the account balance for each trade and a leverage setting can be applied, which simply multiplies the profit or loss of each trade.
It can also be used with position sizing, in which case it automatically calculates a Stop Level, which is already built in the indicator. You can select the amount your want to risk for each trade.
Very important note: the calculations DO NOT take into account any fee or slippage that you always experience on the exchanges.
The indicators only uses real time data, therefore it can’t repaint.
There are absolutely no guarantees about this algorithm and past results are not indicative of future performance.
Fees, slippage and API delay: for any algorithm you will use (from me or others), please keep in mind that fees add up, slippage and delay creates differences between algo theory and reality. We can put in place systems to circumvent that, but we will always have them.
The theory behind it is based on probabilities, human emotions, and repetition in market patterns.
Very good results have been observed on the 15 min time frame though it technically works on all timeframe (5 min for example, 1 hour also). On the example above
ETHUSDT
– 15 min, the back test shows consistency in the results for the last 2 years. Results have also shown great adaptability, meaning the total profits don’t change considerably when we play with settings. This is very good because even if you try to fine tune a set of settings to the past, the probability that it keeps working in the future is rather high.
It works on many markets as long as there is sufficient activity to create patterns and repetition.
There are 5 main variables to adjust the indicator:
Framework length – Use this to establish the environment. Shorter length = volatile environment. Longer length = steadier.
Framework multiplier – Use this to adjust the environment to the asset. Lower value for less volatile price action and higher value for very volatile price action.
Search timeframe – Use this to lookback for a fractal. In theory, the longer the lookback the more reliable the fractal recognition.
Trigger line – Use this to adjust the trigger level. In theory, the lower the trigger the more signals you get.
Threshold – Use this to filter the signals. The higher the threshold, the less signal you get.
The best way to go about changing the settings, is to start off the default value. I’d do a monthly check-in playing with few of them and readjusting based on results from the exchange.
The indicator can be used by considering 100% of the account balance for each trade and a leverage setting can be applied, which simply multiplies the profit or loss of each trade.
It can also be used with position sizing, in which case it automatically calculates a Stop Level, which is already built in the indicator. You can select the amount your want to risk for each trade.
Very important note: the calculations DO NOT take into account any fee or slippage that you always experience on the exchanges.
The indicators only uses real time data, therefore it can’t repaint.
There are absolutely no guarantees about this algorithm and past results are not indicative of future performance.
Fees, slippage and API delay: for any algorithm you will use (from me or others), please keep in mind that fees add up, slippage and delay creates differences between algo theory and reality. We can put in place systems to circumvent that, but we will always have them.
