Short Trade on TRUMP

The 31 Mar 2025 at 06:43:48

With 167.8886 TRUMP at 10.023$ per unit.

Position size of 1682.7472 $

Take profit at 9.9515 (0.71 %) and Stop Loss at 10.0707 (0.48 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.2

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: 0.0317671

Details

score: 1.02
long_trend_details
ema9 - 10.0567
ema21 - 10.1139
ema50 - 10.1973
ema9_ema21_diff - -0.565478
ema21_ema50_diff - -0.817824
ema9_ema50_diff - -1.37867
price_ema21_diff - -0.898921
all_emas_in_trend - True
all_emas_and_price_in_trend - True

📌 Time Data

Start at	Closed at	Duration
31 Mar 2025 06:43:48	31 Mar 2025 06:45:00	1 minute

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
10.023	10.0707	9.9515	1.5	5.475

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 10.023
Stop Loss: 10.0707
Take Profit: 9.9515

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 10.0707 - 10.023 = 0.047700000000001
Récompense (distance jusqu'au take profit):

E - TP = 10.023 - 9.9515 = 0.0715
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0715 / 0.047700000000001 = 1.499

📌 Position Size

Amount	Margin	Quantity	Leverage
1682.7472	1682.7472	167.8886	16.83

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 0.047700000000001

Taille de position = 8 / 0.047700000000001 = 167.71

Taille de position USD = 167.71 x 10.023 = 1680.96

Donc, tu peux acheter 167.71 avec un stoploss a 10.0707

Avec un position size USD de 1680.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 167.71 x 0.047700000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 167.71 x 0.0715 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position 167.71
Taille de position USD 1680.96
Perte potentielle 8
Gain potentiel 11.99
Risk-Reward Ratio 1.499

📌 Peformances

TP % Target	TP $ Target
0.71 %	12 $

SL % Target	SL $ Target
0.48 %	8.01 $

PNL	PNL %
-8.01 $	-0.48

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.56869200838073 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.952
            [entry_price] => 10.02
            [stop_loss] => 10.075
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-31 06:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.952
            [entry_price] => 10.02
            [stop_loss] => 10.08
            [rr_ratio] => 1.13
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-31 06:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.952
            [entry_price] => 10.02
            [stop_loss] => 10.085
            [rr_ratio] => 1.05
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-31 06:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.952
            [entry_price] => 10.02
            [stop_loss] => 10.095
            [rr_ratio] => 0.91
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-31 06:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0099999999999998
            [max_drawdown] => 0.131
            [rr_ratio] => 0.08
            [high] => 10.15400000
            [low] => 10.01300000
            [mfe_pct] => 0.1
            [mae_pct] => 1.31
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-03-31T06:43:48-04:00
            [end_at] => 2025-03-31T08:43:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.052
            [max_drawdown] => 0.227
            [rr_ratio] => 0.23
            [high] => 10.25000000
            [low] => 9.97100000
            [mfe_pct] => 0.52
            [mae_pct] => 2.26
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 72
            [start_at] => 2025-03-31T06:43:48-04:00
            [end_at] => 2025-03-31T12:43:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 10.13800000
            [high_after] => 10.25000000
            [low_before] => 9.88500000
            [low_after] => 9.97100000
            [is_new_high] => 
            [is_new_low] => 
        )

)