Short Trade on AI16Z

The 28 Mar 2025 at 16:44:51

With 4150.8248 AI16Z at 0.1784$ per unit.

Position size of 740.5072 $

Take profit at 0.1755 (1.63 %) and Stop Loss at 0.1803 (1.07 %)

That's a 1.53 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 5.01
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: 0.16
  4. atr: 0.001284885181256
Details
  1. score: 1.16

📌 Time Data

Start at Closed at Duration
28 Mar 2025
16:44:51
28 Mar 2025
16:55:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1784 0.1803 0.1755 1.53 0.0663
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 0.1784
  • Stop Loss: 0.1803
  • Take Profit: 0.1755

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1803 - 0.1784 = 0.0019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1784 - 0.1755 = 0.0029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0029 / 0.0019 = 1.5263

📌 Position Size

Amount Margin Quantity Leverage
740.5072 740.5072 4150.8248 7.41
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 0.0019

Taille de position = 8 / 0.0019 = 4210.53

Taille de position USD = 4210.53 x 0.1784 = 751.16

Donc, tu peux acheter 4210.53 avec un stoploss a 0.1803

Avec un position size USD de 751.16$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4210.53 x 0.0019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4210.53 x 0.0029 = 12.21

Si Take Profit atteint, tu gagneras 12.21$

Résumé

  • Taille de position 4210.53
  • Taille de position USD 751.16
  • Perte potentielle 8
  • Gain potentiel 12.21
  • Risk-Reward Ratio 1.5263

📌 Peformances

TP % Target TP $ Target
1.63 % 12.04 $
SL % Target SL $ Target
1.07 % 7.89 $
PNL PNL %
12.04 $ 1.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1746
            [stop_loss] => 0.1803
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 17:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.17365
            [stop_loss] => 0.1803
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1727
            [stop_loss] => 0.1803
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

    [3.5] => Array
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            [take_profit] => 0.17175
            [stop_loss] => 0.1803
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1708
            [stop_loss] => 0.1803
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.16985
            [stop_loss] => 0.1803
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1689
            [stop_loss] => 0.1803
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.16795
            [stop_loss] => 0.1803
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.167
            [stop_loss] => 0.1803
            [rr_ratio] => 6
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.16605
            [stop_loss] => 0.1803
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1651
            [stop_loss] => 0.1803
            [rr_ratio] => 7
            [closed_at] => 2025-03-28 21:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0044
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.17840000
            [low] => 0.17400000
            [mfe_pct] => 2.47
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T16:44:51-04:00
            [end_at] => 2025-03-28T18:44:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0044
            [max_drawdown] => 0.0026
            [rr_ratio] => 1.69
            [high] => 0.18100000
            [low] => 0.17400000
            [mfe_pct] => 2.47
            [mae_pct] => 1.46
            [mfe_mae_ratio] => 1.69
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T16:44:51-04:00
            [end_at] => 2025-03-28T22:44:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17880000
            [high_after] => 0.18100000
            [low_before] => 0.17030000
            [low_after] => 0.17400000
            [is_new_high] => 
            [is_new_low] => 
        )

)