Short Trade on DOT 27 Mar 2025 at 10:54:35

Take profit at 4.5809 (0.85 %) and Stop Loss at 4.6461 (0.56 %)

Short Trade on DOT

The 27 Mar 2025 at 10:54:35

With 306.6858 DOT at 4.62$ per unit.

Position size of 1416.8885 $

Take profit at 4.5809 (0.85 %) and Stop Loss at 4.6461 (0.56 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 2.44
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:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.017390217506967
Details
  1. score: 1.18

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Mar 2025
10:54:35
27 Mar 2025
11:00:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.62 4.6461 4.5809 1.5 1.513
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 4.62
  • Stop Loss: 4.6461
  • Take Profit: 4.5809

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.6461 - 4.62 = 0.0261

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.62 - 4.5809 = 0.0391

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0391 / 0.0261 = 1.4981

📌 Position Size

Amount Margin Quantity Leverage
1416.8885 1416.8885 306.6858 14.17
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 0.0261

Taille de position = 8 / 0.0261 = 306.51

Taille de position USD = 306.51 x 4.62 = 1416.08

Donc, tu peux acheter 306.51 avec un stoploss a 4.6461

Avec un position size USD de 1416.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 306.51 x 0.0261 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 306.51 x 0.0391 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position 306.51
  • Taille de position USD 1416.08
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.4981

📌 Peformances

TP % Target TP $ Target
0.85 % 11.99 $
SL % Target SL $ Target
0.56 % 8 $
PNL PNL %
-8 $ -0.56
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] => 4.581
            [entry_price] => 4.62
            [stop_loss] => 4.6486
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-27 11:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.581
            [entry_price] => 4.62
            [stop_loss] => 4.6512
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-27 11:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.581
            [entry_price] => 4.62
            [stop_loss] => 4.6538
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-27 11:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.581
            [entry_price] => 4.62
            [stop_loss] => 4.659
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-27 11:40:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.055
            [max_drawdown] => 0.036
            [rr_ratio] => 1.53
            [high] => 4.65600000
            [low] => 4.56500000
            [mfe_pct] => 1.19
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 1.53
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T10:54:35-04:00
            [end_at] => 2025-03-27T12:54:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.073
            [max_drawdown] => 0.036
            [rr_ratio] => 2.03
            [high] => 4.65600000
            [low] => 4.54700000
            [mfe_pct] => 1.58
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 2.03
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T10:54:35-04:00
            [end_at] => 2025-03-27T16:54:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.63500000
            [high_after] => 4.65600000
            [low_before] => 4.49300000
            [low_after] => 4.54700000
            [is_new_high] => 
            [is_new_low] => 
        )

)