Short Trade on TRUMP

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Short Trade on TRUMP 04 May 2025 at 17:02:20

Take profit at 11.0473 (0.94 %) and Stop Loss at 11.2218 (0.63 %)

Short Trade on TRUMP

The 04 May 2025 at 17:02:20

With 114.6198 TRUMP at 11.152$ per unit.

Position size of 1278.2405 $

Take profit at 11.0473 (0.94 %) and Stop Loss at 11.2218 (0.63 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 80

ML Pullback Score: 7.74

Prediction Score: 0

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.13
atr: 0.0465306296

Details

score: 1.13
1H
ema9 : 11.0647
ema21 : 11.1986
ema50 : 11.6568
price_ema9_diff : 0.00779053
ema9_ema21_diff : -0.0119545
ema21_ema50_diff : -0.0393089
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.442307
kc_percentage : 0.46082
kc_width_percentage : 0.0699826
15m
ema9 : 11.0432
ema21 : 11.0225
ema50 : 11.0609
price_ema9_diff : 0.00986452
ema9_ema21_diff : 0.00187599
ema21_ema50_diff : -0.0034701
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.604706
kc_percentage : 0.874448
kc_width_percentage : 0.0311244
5m
ema9 : 11.0935
ema21 : 11.0309
ema50 : 11.0074
price_ema9_diff : 0.00529874
ema9_ema21_diff : 0.00567633
ema21_ema50_diff : 0.00213761
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.681173
kc_percentage : 1.13425
kc_width_percentage : 0.016652

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 17:02:20	04 May 2025 18:00:00	57 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
11.152	11.2218	11.0473	1.5	3.372

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 11.152
Stop Loss: 11.2218
Take Profit: 11.0473

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 11.2218 - 11.152 = 0.069800000000001
Récompense (distance jusqu'au take profit):

E - TP = 11.152 - 11.0473 = 0.1047
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.1047 / 0.069800000000001 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1278.2405	100	114.6198	12.78

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 0.069800000000001

Taille de position = 8 / 0.069800000000001 = 114.61

Taille de position USD = 114.61 x 11.152 = 1278.13

Donc, tu peux acheter 114.61 avec un stoploss a 11.2218

Avec un position size USD de 1278.13$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 114.61 x 0.069800000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 114.61 x 0.1047 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 114.61
Taille de position USD 1278.13
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.94 %	12 $

SL % Target	SL $ Target
0.63 %	8 $

PNL	PNL %
11.46 $	0.90

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.13452914798205 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 11.01
            [stop_loss] => 11.22
            [rr_ratio] => 2
            [closed_at] => 2025-05-04 18:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 10.975
            [stop_loss] => 11.22
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-04 18:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 10.94
            [stop_loss] => 11.22
            [rr_ratio] => 3
            [closed_at] => 2025-05-04 18:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 10.905
            [stop_loss] => 11.22
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-04 18:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 10.87
            [stop_loss] => 11.22
            [rr_ratio] => 4
            [closed_at] => 2025-05-04 18:30:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.286
            [max_drawdown] => 0.013
            [rr_ratio] => 22
            [high] => 11.16500000
            [low] => 10.86600000
            [mfe_pct] => 2.56
            [mae_pct] => 0.12
            [mfe_mae_ratio] => 22
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T17:02:20-04:00
            [end_at] => 2025-05-04T19:02:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.313
            [max_drawdown] => 0.036000000000001
            [rr_ratio] => 8.69
            [high] => 11.18800000
            [low] => 10.83900000
            [mfe_pct] => 2.81
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 8.69
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T17:02:20-04:00
            [end_at] => 2025-05-04T23:02:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 11.17000000
            [high_after] => 11.18800000
            [low_before] => 10.81100000
            [low_after] => 10.83900000
            [is_new_high] => 
            [is_new_low] => 
        )

)