Long Trade on TRUMP

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Long Trade on TRUMP 13 Apr 2025 at 04:01:51

Take profit at 8.5654 (0.54 %) and Stop Loss at 8.4881 (0.36 %)

Long Trade on TRUMP

The 13 Apr 2025 at 04:01:51

With 258.794 TRUMP at 8.519$ per unit.

Position size of 2204.6657 $

Take profit at 8.5654 (0.54 %) and Stop Loss at 8.4881 (0.36 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 5.49

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.07
atr: 0.02060841524

Details

score: 2.07
1H
ema9 : 8.57765
ema21 : 8.51314
ema50 : 8.3291
price_ema9_diff : -0.00689029
ema9_ema21_diff : 0.00757814
ema21_ema50_diff : 0.0220963
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.538797
kc_percentage : 0.496322
kc_width_percentage : 0.045099
15m
ema9 : 8.56293
ema21 : 8.59758
ema50 : 8.5837
price_ema9_diff : -0.00511044
ema9_ema21_diff : -0.00402948
ema21_ema50_diff : 0.00161624
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.376611
kc_percentage : 0.067042
kc_width_percentage : 0.020899
5m
ema9 : 8.53649
ema21 : 8.5658
ema50 : 8.60044
price_ema9_diff : -0.00204233
ema9_ema21_diff : -0.00342208
ema21_ema50_diff : -0.00402712
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.34103
kc_percentage : -0.0738706
kc_width_percentage : 0.00919477

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
13 Apr 2025 04:01:51	13 Apr 2025 04:05:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
8.519	8.4881	8.5654	1.5	3.476

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 8.519
Stop Loss: 8.4881
Take Profit: 8.5654

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 8.4881 - 8.519 = -0.030900000000001
Récompense (distance jusqu'au take profit):

E - TP = 8.519 - 8.5654 = -0.0464
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0464 / -0.030900000000001 = 1.5016

📌 Position Size

Amount	Margin	Quantity	Leverage
2204.6657	100	258.794	22.05

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 -0.030900000000001

Taille de position = 8 / -0.030900000000001 = -258.9

Taille de position USD = -258.9 x 8.519 = -2205.57

Donc, tu peux acheter -258.9 avec un stoploss a 8.4881

Avec un position size USD de -2205.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -258.9 x -0.030900000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -258.9 x -0.0464 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

Taille de position -258.9
Taille de position USD -2205.57
Perte potentielle 8
Gain potentiel 12.01
Risk-Reward Ratio 1.5016

📌 Peformances

TP % Target	TP $ Target
0.54 %	12.01 $

SL % Target	SL $ Target
0.36 %	8 $

PNL	PNL %
-8.02 $	-0.36

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.43432327737998 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 8.565
            [entry_price] => 8.519
            [stop_loss] => 8.4849
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-13 04:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 8.565
            [entry_price] => 8.519
            [stop_loss] => 8.4818
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-13 04:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 8.565
            [entry_price] => 8.519
            [stop_loss] => 8.4787
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-13 04:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 8.565
            [entry_price] => 8.519
            [stop_loss] => 8.4725
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-13 04:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.171
            [max_drawdown] => 0.077
            [rr_ratio] => 2.22
            [high] => 8.69000000
            [low] => 8.44200000
            [mfe_pct] => 2.01
            [mae_pct] => 0.9
            [mfe_mae_ratio] => 2.22
            [candles_analyzed] => 24
            [start_at] => 2025-04-13T04:01:51-04:00
            [end_at] => 2025-04-13T06:01:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.231
            [max_drawdown] => 0.081
            [rr_ratio] => 2.85
            [high] => 8.75000000
            [low] => 8.43800000
            [mfe_pct] => 2.71
            [mae_pct] => 0.95
            [mfe_mae_ratio] => 2.85
            [candles_analyzed] => 72
            [start_at] => 2025-04-13T04:01:51-04:00
            [end_at] => 2025-04-13T10:01:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 8.72500000
            [high_after] => 8.75000000
            [low_before] => 8.47900000
            [low_after] => 8.43800000
            [is_new_high] => 1
            [is_new_low] => 
        )

)