Trade

sell - TRUMP

Status
loss
2025-03-28 20:30:15
9 minutes
PNL
-0.28
Entry: 10.418
Last: 10.44710000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: -60
ML Pullback Score: 4.78

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.28
  4. atr: 0.01941256416043
Details
  1. score: 1.28

Short Trade on TRUMP

The 28 Mar 2025 at 20:30:15

With 274.7362 TRUMP at 10.418$ per unit.

Position size of 2862.2013 $

Take profit at 10.3743 (0.42 %) and Stop Loss at 10.4471 (0.28 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -46.67 %

Symbol Start at Seach Score Trade Score Trades Count
BGB 2025-06-18 20:15:04 0.9211 -100 4
SUI 2025-06-06 02:49:49 0.9183 -100 1
XLM 2025-07-02 00:04:35 0.9138 -100 3
1MBABYDOGE 2025-06-18 16:49:50 0.9138 -100 1
STX 2025-06-06 03:30:14 0.912 30 1
CATI 2025-04-03 13:31:58 0.9106 90 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
20:30:15
28 Mar 2025
20:40:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
10.418 10.4471 10.3743 1.5 10.1
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 10.418
  • Stop Loss: 10.4471
  • Take Profit: 10.3743

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 10.4471 - 10.418 = 0.029100000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 10.418 - 10.3743 = 0.043699999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.043699999999999 / 0.029100000000001 = 1.5017

📌 Position Size

Amount Margin Quantity Leverage
2862.2013 2862.2013 274.7362 28.62
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 0.029100000000001

Taille de position = 8 / 0.029100000000001 = 274.91

Taille de position USD = 274.91 x 10.418 = 2864.01

Donc, tu peux acheter 274.91 avec un stoploss a 10.4471

Avec un position size USD de 2864.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 274.91 x 0.029100000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 274.91 x 0.043699999999999 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 274.91
  • Taille de position USD 2864.01
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5017

📌 Peformances

TP % Target TP $ Target
0.42 % 12.01 $
SL % Target SL $ Target
0.28 % 7.99 $
PNL PNL %
-7.99 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 10.37
            [entry_price] => 10.42
            [stop_loss] => 10.453
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-28 20:55:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 10.37
            [entry_price] => 10.42
            [stop_loss] => 10.456
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-28 20:55:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 10.37
            [entry_price] => 10.42
            [stop_loss] => 10.459
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-28 20:55:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 10.37
            [entry_price] => 10.42
            [stop_loss] => 10.465
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-28 20:55:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.066999999999998
            [max_drawdown] => 0.034000000000001
            [rr_ratio] => 1.97
            [high] => 10.45200000
            [low] => 10.35100000
            [mfe_pct] => 0.64
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 1.97
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T20:30:15-04:00
            [end_at] => 2025-03-28T22:30:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.205
            [max_drawdown] => 0.034000000000001
            [rr_ratio] => 6.03
            [high] => 10.45200000
            [low] => 10.21300000
            [mfe_pct] => 1.97
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 6.03
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T20:30:15-04:00
            [end_at] => 2025-03-29T02:30:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 10.42600000
            [high_after] => 10.45200000
            [low_before] => 10.17100000
            [low_after] => 10.21300000
            [is_new_high] => 
            [is_new_low] => 
        )

)