JARVIS MANUAL OF INPUT
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"Magic Number"; magic number, differentiate the different eas use one per pair and robot. it is interesting that the numbers are separated by at least 10 units.
"input basic"; general system values.
autodistance; Automatic distance between levels depending on the main supports and resistances.
distance; Fixed distance between levels.
max_lot_general; Maximum system lot in most algorithms.
basket; Money value for the overall output of the algorithms.
partial_closure: Activates / deactivates a partial recovery of losses.
basket_only_one; Value for individual profit output in certain algorithms
Power_of_signal; Value for the power filter, it is recommended to use values between 15 and 25.
Sensitivity_Signal; Signal sensitivity recommended value between 1 and 5.
Impulse_Power; Factor that filters the force of the impulse. Recommended Value 2.
Impulse_Time; Factor that filters the duration of the impulse. Recommended Value 10.
Impulse_Filter; Impulse filter sensitivity. Recommended value 2.
Factor_Volatility: Volatility filter factor. Recommended value 14.
S_R_power; Support and resistance detection filter factor. Recommended value between 40 and 100.
Signal_input; Regulates the power and sensitivity of the signal that marks the market entry. The higher the value, the more secure the input, but the fewer inputs the system makes, values between 50 and 1500 are recommended
"Algorithm PR"; Specific inputs for the neural net of algorithm PR.
BreakEven: Activated/desactivated Break Event of the neural net of algorithm PR .
BreakEven_At: initial Value of Break Event of the neural net of algorithm PR .
BreakEvenTo: Vaule of moving of Break Event of the neural net of algorithm PR .
"Algorithm 1"; Specific inputs for the neural net of algorithm 1.
Used_algorithm_1: Activated/desactivated the neural net of algorithm 1.
"Lot Management"; Lot parameters.
Lot_init_al1= Initial lot of system in the algoritm 1, recommended 0.01 lots.
Trailing_al1 : Activated/desactivated Trailing Stop of the neural net of algorithm 1 .
TrailingStop_al1 : Value of Trailing Stop, Distance from price to SL.
"Algorithm 2"; Specific inputs for the neural net of algorithm 2.
Used_algorithm_2: Activated/desactivated the neural net of algorithm 2.
"Lot Management": Lot parameters .
Lot_init_al2= Initial lot of system in the algoritm 1, recommended 0.01 lots.
Trailing_al2: Activated/desactivated Trailing Stop of the neural net of algorithm 2 .
TrailingStop_al2 : Value of Trailing Stop, Distance from price to SL.
"Algorithm 3"; Specific inputs for the neural net of algorithm 3.
Used_algorithm_3: Activated/desactivated the neural net of algoritm 3.
Nun_al3: Number of steps that the neural net of algorithm 3 has.
Trailing_al3 : Activated/desactivated Trailing Stop of the neural net of algorithm 3 .
TrailingStop_al3 : Value of Trailing Stop, Distance from price to SL.
"Algorithm 4";Specific inputs for the neural net of algorithm 4.
Used_algorithm_4: Activated/desactivated the neural net of algoritm 4.
Nun_al4: Number of steps that the neural net of algorithm 4 has.
Trailing_al4 : Activated/desactivated Trailing Stop of the neural net of algorithm 4 .
TrailingStop_al4: Value of Trailing Stop, Distance from price to SL.
"Algorithm 5"; Specific inputs for the neural net of algorithm 5.
Used_algorithm_5: Activated/desactivated the neural net of algoritm 5.
Lot_init_al5: Initial lot of system in the algoritm 5, recommended the same value to the input Lot_init_al1 .
"Algorithm 6"; Specific inputs for the neural net of algorithm 6.
Used_algorithm_6: Activated/desactivated the neural net of algoritm 6.
Lot_init_al6: Initial lot of system in the algoritm 6, recommended the same value to the input Lot_init_al2 .
"Algorithm 7"; Specific inputs for the neural net of algorithm 7.
Used_algorithm_7: Activated/desactivated the neural net of algoritm 7.
Nun_al7: Number of steps that the neural net of algorithm 7 has.
Factor_al7: Factor to controled the increase of lot of the neural net of algoritm 7. Recommended value 10.
"Algorithm 8"; Specific inputs for the neural net of algorithm 8.
Used_algorithm_8: Activated/desactivated the neural net of algoritm 8.
Nun_al8: Number of steps that the neural net of algorithm 8 has.
Factor_al8: Factor to controled the increase of lot of the neural net of algoritm 8. Recommended value 10.
"Algorithm 9"; Specific inputs for the neural net of algorithm 9.
Used_algorithm_9: Activated/desactivated the neural net of algoritm 9.
dist_factor_al9; Increase factor of the distance between orders algorithm 9 .
Lot_al9; Recovery Lot algorithm 9.
Factor_lot_al9; Factor add to Lot_al9 in the algorithm 9 .
distance__al9; Distance between orders of algorithm 9.
Recovery_support_al9 : Receive algorithm 10 support to close profitably.
entry_al9: End of the algorithm 9 and change to algorithm 11.
"Algorithm 10"; Specific inputs for the neural net of algorithm 10.
Used_algorithm_10: Activated/desactivated the neural net of algoritm 10.
entry_al10; Number of orders that activate the algorithm 10.
dist_factor_al10; Increase factor of the distance between orders algorithm 10 .
factor_al10; Increase factor of the distance between orders algorithm 10.
Recovery_support_al10 : Receive algorithm 9 support to close profitably.
entry_al10: End of the algorithm 10 and change to algorithm 12;
"Algorithm 11"; Specific inputs for the neural net of algorithm 11.
Used_algorithm_11: Activated/desactivated the neural net of algoritm 11.
stair_step_al11; Distance between orders of algorithm 11.
recovery_of_an_order _al11 : Activated/desactivated algoritm 11 recovery of an order by accumulation of positive orders.
Recovery_control_al11 : Activate / Deactivate the recovery control module to close the algorithm 11 with gains.
Compensation_closure_al11 : Activates / deactivates the recovery algorithm by compensation of the algorithm 11.
Closure_by_partial_recovery_al11 : Activates / deactivates the recovery closure algorithm with partial algorithm 11.
Factor_Closure_by_partial_recovery_al11 : Factor for the recovery closure algorithm with partial algorithm 11.
max_order_al11: Number of max order open in the algorithm 11.
"Algorithm 12"; Specific inputs for the neural net of algorithm 12.
Used_algorithm_12: Activated/desactivated the neural net of algorithm 12.
stair_step_al12; Distance between orders of algorithm 12.
recovery_of_an_order_al12 : Activated/desactivated algoritm 12 recovery of an order by accumulation of positive orders.
Recovery_control_al12 : Activate / Deactivate the recovery control module to close the algorithm 12 with gains.
Compensation_closure_al12 : Activates / deactivates the recovery algorithm by compensation of the algorithm 12.
Closure_by_partial_recovery_al12 : Activates / deactivates the recovery closure algorithm with partial algorithm 12.
Factor_Closure_by_partial_recovery_al12 : Factor for the recovery closure algorithm with partial algorithm 12.
max_order_al12: Number of max order open in the algorithm 12.
"Algorithm 13"; Specific inputs for the neural net of algorithm 13.
Used_algorithm_13: Activated/desactivated the neural net of algoritm 13 .
Nun_al13: Number of steps that the neural net of algorithm 13 has.
Factor_al13: Factor to controled the increase of lot of the neural net of algoritm 13."Algorithm 14"; Specific inputs for the neural net of algorithm 14.
Used_algorithm_14: Activated/desactivated the neural net of 14.
Nun_al14: Number of steps that the neural net of algorithm 14 has.
Factor_al14: Factor to controled the increase of lot of the neural net of algoritm 14.
"Algorithm 15"; Specific inputs for the neural net of algorithm 15.
Used_algorithm_15: Activated/desactivated the neural net of algoritm 15 .
distance_trend_al15: Distance for the entry of trend algorithm of the neural net of the algorithm 15.
control_trend15: Max lot used in the entry of trend algorithm of the neural net of the algorithm 15.
"Algorithm 16"; Specific inputs for the neural net of algorithm 16.
Used_algorithm_16: Activated/desactivated the neural net of algoritm 16 .
distance_trend_al16: Distance for the entry of trend algorithm of the neural net of the algorithm 16.
control_trend16: Max lot used in the entry of trend algorithm of the neural net of the algorithm 16.
"Algorithm 17"; Specific inputs for the neural net of algorithm 17.
Used_algorithm_17: Activated/desactivated the neural net of algoritm 17.
factor_al_17: Factor used to recupered lost lotje in algoritm17.
Lot_init_al13: factor to used for conltroled Lot to init this algorithm.
stair_step_al17; Distance between orders of algorithm 17.
max_order_al17: Number of max order open in the algorithm 17.
basketcontrol: Profit of lost to recuperation in the algorithm 17.
"Algorithm 18"; Specific inputs for the neural net of algorithm 18.
Order_Buy_For_init : Number of buy orders to activate the neural net of the algorithm 18.
max_order_al18: Number of max order open in the algorithm 18.
Factor_low_Block_Buy : Value of the factor that marks the lower Limit of the buy order blocking.
Factor_High_Block_Buy : Value of the factor that marks the upper linite of the buy order blocking.
Order_Sell_For_init: Number of buy orders to activate the neural net of the algorithm 18.
Factor_low_Block_Sell: Value of the factor that marks the lower Limit of the sell order blocking.
Factor_High_Block_Sell: Value of the factor that marks the upper linite of the sell order blocking.
