Short Trade on IP

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Short Trade on IP 27 Mar 2025 at 10:34:26

Take profit at 5.775 (0.77 %) and Stop Loss at 5.85 (0.52 %)

Short Trade on IP

The 27 Mar 2025 at 10:34:26

With 266.6253 IP at 5.82$ per unit.

Position size of 1551.7593 $

Take profit at 5.775 (0.77 %) and Stop Loss at 5.85 (0.52 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -60

ML Pullback Score: 7.47

Prediction Score:

Prediction 1	Probability
	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.02
atr: 0.020003102083782

Details

score: 1.02

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Mar 2025 10:34:26	27 Mar 2025 10:40:00	5 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
5.82	5.85	5.775	1.5	0.854

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 5.82
Stop Loss: 5.85
Take Profit: 5.775

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 5.85 - 5.82 = 0.029999999999999
Récompense (distance jusqu'au take profit):

E - TP = 5.82 - 5.775 = 0.045
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.045 / 0.029999999999999 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1551.7593	1551.7593	266.6253	15.52

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 0.029999999999999

Taille de position = 8 / 0.029999999999999 = 266.67

Taille de position USD = 266.67 x 5.82 = 1552.02

Donc, tu peux acheter 266.67 avec un stoploss a 5.85

Avec un position size USD de 1552.02$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 266.67 x 0.029999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 266.67 x 0.045 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 266.67
Taille de position USD 1552.02
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.77 %	12 $

SL % Target	SL $ Target
0.52 %	8 $

PNL	PNL %
-8 $	-0.52

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] => 5.775
            [entry_price] => 5.82
            [stop_loss] => 5.853
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-27 10:45:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 5.775
            [entry_price] => 5.82
            [stop_loss] => 5.856
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-27 10:45:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 5.775
            [entry_price] => 5.82
            [stop_loss] => 5.859
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-27 10:45:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 5.775
            [entry_price] => 5.82
            [stop_loss] => 5.865
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-27 10:45:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0964
            [max_drawdown] => 0.029999999999999
            [rr_ratio] => 3.21
            [high] => 5.85000000
            [low] => 5.72360000
            [mfe_pct] => 1.66
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 3.21
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T10:34:26-04:00
            [end_at] => 2025-03-27T12:34:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.145
            [max_drawdown] => 0.029999999999999
            [rr_ratio] => 4.83
            [high] => 5.85000000
            [low] => 5.67500000
            [mfe_pct] => 2.49
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 4.83
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T10:34:26-04:00
            [end_at] => 2025-03-27T16:34:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.82450000
            [high_after] => 5.85000000
            [low_before] => 5.72000000
            [low_after] => 5.67500000
            [is_new_high] => 
            [is_new_low] => 1
        )

)