Short Trade on TRUMP

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Short Trade on TRUMP 14 Apr 2025 at 23:32:08

Take profit at 8.0056 (0.61 %) and Stop Loss at 8.088 (0.41 %)

Short Trade on TRUMP

The 14 Apr 2025 at 23:32:08

With 242.7613 TRUMP at 8.055$ per unit.

Position size of 1955.4419 $

Take profit at 8.0056 (0.61 %) and Stop Loss at 8.088 (0.41 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.52

Prediction Score:

Prediction 1	Probability
Weak Trade	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: 0.29
atr: 0.02196945853

Details

score: 1.29
1H
ema9 : 8.00388
ema21 : 8.09629
ema50 : 8.21581
price_ema9_diff : 0.00631394
ema9_ema21_diff : -0.0114144
ema21_ema50_diff : -0.0145475
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.452035
kc_percentage : 0.430305
kc_width_percentage : 0.0603019
15m
ema9 : 7.9933
ema21 : 7.97139
ema50 : 8.0182
price_ema9_diff : 0.00774009
ema9_ema21_diff : 0.00274757
ema21_ema50_diff : -0.00583747
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.607174
kc_percentage : 0.972099
kc_width_percentage : 0.0219557
5m
ema9 : 8.01042
ema21 : 7.98555
ema50 : 7.96205
price_ema9_diff : 0.00558234
ema9_ema21_diff : 0.00311457
ema21_ema50_diff : 0.0029511
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.708681
kc_percentage : 1.29056
kc_width_percentage : 0.0106759

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
14 Apr 2025 23:32:08	14 Apr 2025 23:35:00	2 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
8.055	8.088	8.0056	1.5	3.415

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 8.055
Stop Loss: 8.088
Take Profit: 8.0056

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 8.088 - 8.055 = 0.032999999999999
Récompense (distance jusqu'au take profit):

E - TP = 8.055 - 8.0056 = 0.0494
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0494 / 0.032999999999999 = 1.497

📌 Position Size

Amount	Margin	Quantity	Leverage
1955.4419	100	242.7613	19.55

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 0.032999999999999

Taille de position = 8 / 0.032999999999999 = 242.42

Taille de position USD = 242.42 x 8.055 = 1952.69

Donc, tu peux acheter 242.42 avec un stoploss a 8.088

Avec un position size USD de 1952.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 242.42 x 0.032999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 242.42 x 0.0494 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

Taille de position 242.42
Taille de position USD 1952.69
Perte potentielle 8
Gain potentiel 11.98
Risk-Reward Ratio 1.497

📌 Peformances

TP % Target	TP $ Target
0.61 %	11.99 $

SL % Target	SL $ Target
0.41 %	8.01 $

PNL	PNL %
-8.01 $	-0.41

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.4096834264432 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 8.006
            [entry_price] => 8.055
            [stop_loss] => 8.0913
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-14 23:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 8.006
            [entry_price] => 8.055
            [stop_loss] => 8.0946
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-14 23:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 8.006
            [entry_price] => 8.055
            [stop_loss] => 8.0979
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-14 23:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 8.006
            [entry_price] => 8.055
            [stop_loss] => 8.1045
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-14 23:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029999999999999
            [max_drawdown] => 0.169
            [rr_ratio] => 0.18
            [high] => 8.22400000
            [low] => 8.02500000
            [mfe_pct] => 0.37
            [mae_pct] => 2.1
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 24
            [start_at] => 2025-04-14T23:32:08-04:00
            [end_at] => 2025-04-15T01:32:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.104
            [max_drawdown] => 0.169
            [rr_ratio] => 0.62
            [high] => 8.22400000
            [low] => 7.95100000
            [mfe_pct] => 1.29
            [mae_pct] => 2.1
            [mfe_mae_ratio] => 0.62
            [candles_analyzed] => 72
            [start_at] => 2025-04-14T23:32:08-04:00
            [end_at] => 2025-04-15T05:32:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 8.07800000
            [high_after] => 8.22400000
            [low_before] => 7.81300000
            [low_after] => 7.95100000
            [is_new_high] => 
            [is_new_low] => 
        )

)