Long Trade on TRUMP

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Long Trade on TRUMP 23 Apr 2025 at 23:03:17

Take profit at 12.628 (3.52 %) and Stop Loss at 11.913 (2.34 %)

Long Trade on TRUMP

The 23 Apr 2025 at 23:03:17

With 27.9741 TRUMP at 12.199$ per unit.

Position size of 341.2565 $

Take profit at 12.628 (3.52 %) and Stop Loss at 11.913 (2.34 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.9

Prediction Score: -4.9259

Prediction 1	Probability
Strong 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: 0.3
atr: 0.1906522942

Details

score: 2.3
1H
ema9 : 12.7422
ema21 : 11.9121
ema50 : 10.577
price_ema9_diff : -0.0456089
ema9_ema21_diff : 0.0696933
ema21_ema50_diff : 0.12622
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.569082
kc_percentage : 0.565912
kc_width_percentage : 0.270851
15m
ema9 : 12.7661
ema21 : 13.0337
ema50 : 12.6187
price_ema9_diff : -0.0435163
ema9_ema21_diff : -0.0205258
ema21_ema50_diff : 0.0328839
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.359044
kc_percentage : -0.0544553
kc_width_percentage : 0.12252
5m
ema9 : 12.6117
ema21 : 12.825
ema50 : 13.092
price_ema9_diff : -0.0321842
ema9_ema21_diff : -0.0166296
ema21_ema50_diff : -0.0203951
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.232188
kc_percentage : -0.302494
kc_width_percentage : 0.062658

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
23 Apr 2025 23:03:17	23 Apr 2025 23:30:00	26 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
12.199	11.913	12.628	1.5	3.39

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 12.199
Stop Loss: 11.913
Take Profit: 12.628

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 11.913 - 12.199 = -0.286
Récompense (distance jusqu'au take profit):

E - TP = 12.199 - 12.628 = -0.429
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.429 / -0.286 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
341.2565	100	27.9741	3.41

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 -0.286

Taille de position = 8 / -0.286 = -27.97

Taille de position USD = -27.97 x 12.199 = -341.21

Donc, tu peux acheter -27.97 avec un stoploss a 11.913

Avec un position size USD de -341.21$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -27.97 x -0.286 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -27.97 x -0.429 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -27.97
Taille de position USD -341.21
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
3.52 %	12 $

SL % Target	SL $ Target
2.34 %	8 $

PNL	PNL %
-8.11 $	-2.38

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-4.0983606557377 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 12.63
            [entry_price] => 12.2
            [stop_loss] => 11.881
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-23 23:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 12.63
            [entry_price] => 12.2
            [stop_loss] => 11.852
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-23 23:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 12.63
            [entry_price] => 12.2
            [stop_loss] => 11.823
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-23 23:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 12.63
            [entry_price] => 12.2
            [stop_loss] => 11.765
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-23 23:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.278
            [max_drawdown] => 0.499
            [rr_ratio] => 0.56
            [high] => 12.47700000
            [low] => 11.70000000
            [mfe_pct] => 2.28
            [mae_pct] => 4.09
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2025-04-23T23:03:17-04:00
            [end_at] => 2025-04-24T01:03:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.492
            [max_drawdown] => 0.648
            [rr_ratio] => 0.76
            [high] => 12.69100000
            [low] => 11.55100000
            [mfe_pct] => 4.03
            [mae_pct] => 5.31
            [mfe_mae_ratio] => 0.76
            [candles_analyzed] => 72
            [start_at] => 2025-04-23T23:03:17-04:00
            [end_at] => 2025-04-24T05:03:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 14.24000000
            [high_after] => 12.69100000
            [low_before] => 12.11000000
            [low_after] => 11.55100000
            [is_new_high] => 
            [is_new_low] => 
        )

)