Trade

sell - TRUMP

Status

loss

2025-03-29 19:34:10

15 minutes

PNL

-0.31

Entry: 10.033

Last: 10.06370000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

ML Pullback Score: 0.63

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.02
atr: 0.0204877

Details

score: 1.02
long_trend_details
ema9 - 10.005
ema21 - 10.0974
ema50 - 10.372
ema9_ema21_diff - -0.914985
ema21_ema50_diff - -2.64685
ema9_ema50_diff - -3.53761
price_ema21_diff - -0.638584
all_emas_in_trend - True
all_emas_and_price_in_trend - False

Short Trade on TRUMP

The 29 Mar 2025 at 19:34:10

With 260.3188 TRUMP at 10.033$ per unit.

Position size of 2611.7784 $

Take profit at 9.9869 (0.46 %) and Stop Loss at 10.0637 (0.31 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -10 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
LQTY	2025-06-13 09:44:22	0.8987	30	1
ONDO	2025-03-29 19:43:53	0.8971	60	1
SUI	2025-03-29 19:39:01	0.8898	45	2
1000BONK	2025-03-29 19:43:53	0.8892	-100	1
DOGE	2025-03-29 19:57:25	0.8835	-100	3
POPCAT	2025-06-04 06:11:16	0.8828	-35	2
SYRUP	2025-06-21 00:35:57	0.8828	50	1
LAYER	2025-04-17 12:42:12	0.8819	60	1
WIF	2025-05-28 07:01:16	0.8819	-100	1

📌 Time Data

Start at	Closed at	Duration
29 Mar 2025 19:34:10	29 Mar 2025 19:50:00	15 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
10.033	10.0637	9.9869	1.5	9.659

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 10.033
Stop Loss: 10.0637
Take Profit: 9.9869

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 10.0637 - 10.033 = 0.030700000000001
Récompense (distance jusqu'au take profit):

E - TP = 10.033 - 9.9869 = 0.046099999999999
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.046099999999999 / 0.030700000000001 = 1.5016

📌 Position Size

Amount	Margin	Quantity	Leverage
2611.7784	2611.7784	260.3188	26.12

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 0.030700000000001

Taille de position = 8 / 0.030700000000001 = 260.59

Taille de position USD = 260.59 x 10.033 = 2614.5

Donc, tu peux acheter 260.59 avec un stoploss a 10.0637

Avec un position size USD de 2614.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 260.59 x 0.030700000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 260.59 x 0.046099999999999 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

Taille de position 260.59
Taille de position USD 2614.5
Perte potentielle 8
Gain potentiel 12.01
Risk-Reward Ratio 1.5016

📌 Peformances

TP % Target	TP $ Target
0.46 %	12 $

SL % Target	SL $ Target
0.31 %	7.99 $

PNL	PNL %
-7.99 $	-0.31

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.46845410146517 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.987
            [entry_price] => 10.03
            [stop_loss] => 10.063
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 19:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.987
            [entry_price] => 10.03
            [stop_loss] => 10.066
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.987
            [entry_price] => 10.03
            [stop_loss] => 10.069
            [rr_ratio] => 1.1
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.987
            [entry_price] => 10.03
            [stop_loss] => 10.075
            [rr_ratio] => 0.96
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.071
            [max_drawdown] => 0.128
            [rr_ratio] => 0.55
            [high] => 10.16100000
            [low] => 9.96200000
            [mfe_pct] => 0.71
            [mae_pct] => 1.28
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T19:34:10-04:00
            [end_at] => 2025-03-29T21:34:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.071
            [max_drawdown] => 0.221
            [rr_ratio] => 0.32
            [high] => 10.25400000
            [low] => 9.96200000
            [mfe_pct] => 0.71
            [mae_pct] => 2.2
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T19:34:10-04:00
            [end_at] => 2025-03-30T01:34:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 10.03700000
            [high_after] => 10.25400000
            [low_before] => 9.90400000
            [low_after] => 9.96200000
            [is_new_high] => 
            [is_new_low] => 
        )

)