Trade

sell - MUBARAK

Status
loss
2025-03-28 14:44:56
15 minutes
PNL
-1.78
Entry: 0.0899
Last: 0.09150000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: -60
ML Pullback Score: 3.17

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0010712113022285
Details
  1. score: 1.11

Short Trade on MUBARAK

The 28 Mar 2025 at 14:44:56

With 4978.7874 MUBARAK at 0.0899$ per unit.

Position size of 447.593 $

Take profit at 0.08749 (2.68 %) and Stop Loss at 0.09151 (1.79 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 9.29 %

Symbol Start at Seach Score Trade Score Trades Count
SHIB 2025-06-06 01:10:52 0.9557 30 1
BGB 2025-06-22 19:21:53 0.9522 -10 3
STX 2025-06-06 01:14:21 0.9499 45 2
BIO 2025-08-15 20:25:28 0.95 -100 3
WIF 2025-08-15 20:48:52 0.9503 40 1
TIA 2025-06-06 01:03:30 0.9498 30 1
FET 2025-06-06 01:16:43 0.9489 30 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
14:44:56
28 Mar 2025
15:00:00
15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0899 0.09151 0.08749 1.5 0.03385
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.0899
  • Stop Loss: 0.09151
  • Take Profit: 0.08749

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09151 - 0.0899 = 0.00161

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0899 - 0.08749 = 0.00241

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00241 / 0.00161 = 1.4969

📌 Position Size

Amount Margin Quantity Leverage
447.593 447.593 4978.7874 4.48
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.00161

Taille de position = 8 / 0.00161 = 4968.94

Taille de position USD = 4968.94 x 0.0899 = 446.71

Donc, tu peux acheter 4968.94 avec un stoploss a 0.09151

Avec un position size USD de 446.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4968.94 x 0.00161 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4968.94 x 0.00241 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position 4968.94
  • Taille de position USD 446.71
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.4969

📌 Peformances

TP % Target TP $ Target
2.68 % 12 $
SL % Target SL $ Target
1.79 % 8.02 $
PNL PNL %
-7.97 $ -1.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08749
            [entry_price] => 0.0899
            [stop_loss] => 0.091671
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-28 16:25:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.08749
            [entry_price] => 0.0899
            [stop_loss] => 0.091832
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-28 16:25:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.08749
            [entry_price] => 0.0899
            [stop_loss] => 0.091993
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-28 16:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.08749
            [entry_price] => 0.0899
            [stop_loss] => 0.092315
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-28 16:25:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0029
            [max_drawdown] => 0.0016
            [rr_ratio] => 1.81
            [high] => 0.09150000
            [low] => 0.08700000
            [mfe_pct] => 3.23
            [mae_pct] => 1.78
            [mfe_mae_ratio] => 1.81
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T14:44:56-04:00
            [end_at] => 2025-03-28T16:44:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0046
            [max_drawdown] => 0.0016
            [rr_ratio] => 2.87
            [high] => 0.09150000
            [low] => 0.08530000
            [mfe_pct] => 5.12
            [mae_pct] => 1.78
            [mfe_mae_ratio] => 2.87
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T14:44:56-04:00
            [end_at] => 2025-03-28T20:44:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09080000
            [high_after] => 0.09150000
            [low_before] => 0.08330000
            [low_after] => 0.08530000
            [is_new_high] => 
            [is_new_low] => 
        )

)