Short Trade on GRIFFAIN

The 26 Mar 2025 at 01:04:33

With 17320.5835 GRIFFAIN at 0.04742$ per unit.

Position size of 821.3421 $

Take profit at 0.04673 (1.46 %) and Stop Loss at 0.04788 (0.97 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 0.67
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: 0.05
  4. atr: 0.00030791880340702
Details
  1. score: 1.05

📌 Time Data

Start at Closed at Duration
26 Mar 2025
01:04:33
26 Mar 2025
01:25:00
20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04742 0.04788 0.04673 1.5 0.01757
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 0.04742
  • Stop Loss: 0.04788
  • Take Profit: 0.04673

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04788 - 0.04742 = 0.00046

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04742 - 0.04673 = 0.00069

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00069 / 0.00046 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
821.3421 821.3421 17320.5835 8.21
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 0.00046

Taille de position = 8 / 0.00046 = 17391.3

Taille de position USD = 17391.3 x 0.04742 = 824.7

Donc, tu peux acheter 17391.3 avec un stoploss a 0.04788

Avec un position size USD de 824.7$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17391.3 x 0.00046 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17391.3 x 0.00069 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 17391.3
  • Taille de position USD 824.7
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.46 % 11.95 $
SL % Target SL $ Target
0.97 % 7.97 $
PNL PNL %
-12.13 $ -1.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.0465
            [stop_loss] => 0.04788
            [rr_ratio] => 2
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.04627
            [stop_loss] => 0.04788
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.04604
            [stop_loss] => 0.04788
            [rr_ratio] => 3
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 0.04788
            [rr_ratio] => 4
            [closed_at] => 2025-03-26 02:30:00
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        )

    [4.5] => Array
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            [rr_ratio] => 4.5
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

    [5] => Array
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            [take_profit] => 0.04512
            [stop_loss] => 0.04788
            [rr_ratio] => 5
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.04489
            [stop_loss] => 0.04788
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.04466
            [stop_loss] => 0.04788
            [rr_ratio] => 6
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

    [6.5] => Array
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            [take_profit] => 0.04443
            [stop_loss] => 0.04788
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

    [7] => Array
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            [stop_loss] => 0.04788
            [rr_ratio] => 7
            [closed_at] => 2025-03-26 02:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00078
            [max_drawdown] => 0.00102
            [rr_ratio] => 0.76
            [high] => 0.04844000
            [low] => 0.04664000
            [mfe_pct] => 1.64
            [mae_pct] => 2.15
            [mfe_mae_ratio] => 0.76
            [candles_analyzed] => 24
            [start_at] => 2025-03-26T01:04:33-04:00
            [end_at] => 2025-03-26T03:04:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00078
            [max_drawdown] => 0.00774
            [rr_ratio] => 0.1
            [high] => 0.05516000
            [low] => 0.04664000
            [mfe_pct] => 1.64
            [mae_pct] => 16.32
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 72
            [start_at] => 2025-03-26T01:04:33-04:00
            [end_at] => 2025-03-26T07:04:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04762000
            [high_after] => 0.05516000
            [low_before] => 0.04511000
            [low_after] => 0.04664000
            [is_new_high] => 
            [is_new_low] => 
        )

)