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Trade

sell - BCH

Status
win
2025-03-27 17:54:32
1 hour
PNL
0.52
Entry: 325.6
Last: 323.89770000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.75658013723552
Details
  1. score: 1.12

Short Trade on BCH

The 27 Mar 2025 at 17:54:32

With 7.049 BCH at 325.6$ per unit.

Position size of 2295 $

Take profit at 323.9 (0.52 %) and Stop Loss at 326.7 (0.34 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -4.72 %

Symbol Start at Seach Score Trade Score Trades Count
TRUMP 2025-03-27 17:49:42 0.9766 95 2
MOODENG 2025-05-17 06:24:11 0.9762 30 2
NEWT 2025-06-30 15:25:10 0.9764 -13.33 3
HIFI 2025-07-04 20:42:20 0.9756 60 2
JTO 2025-07-06 09:39:28 0.9744 -100 2
TIA 2025-05-15 11:34:10 0.9745 -100 2

📌 Time Data

Start at Closed at Duration
27 Mar 2025
17:54:32		 27 Mar 2025
19:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
325.6 326.7 323.9 1.5 517.1
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 325.6
  • Stop Loss: 326.7
  • Take Profit: 323.9

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 326.7 - 325.6 = 1.1

  • Récompense (distance jusqu'au take profit):

    E - TP = 325.6 - 323.9 = 1.7

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 1.7 / 1.1 = 1.5455

📌 Position Size

Amount Margin Quantity Leverage
2295 2295 7.049 22.95
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 1.1

Taille de position = 8 / 1.1 = 7.27

Taille de position USD = 7.27 x 325.6 = 2367.11

Donc, tu peux acheter 7.27 avec un stoploss a 326.7

Avec un position size USD de 2367.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7.27 x 1.1 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7.27 x 1.7 = 12.36

Si Take Profit atteint, tu gagneras 12.36$

Résumé

  • Taille de position 7.27
  • Taille de position USD 2367.11
  • Perte potentielle 8
  • Gain potentiel 12.36
  • Risk-Reward Ratio 1.5455

📌 Peformances

TP % Target TP $ Target
0.52 % 12 $
SL % Target SL $ Target
0.34 % 7.8 $
PNL PNL %
12 $ 0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 323.4
            [stop_loss] => 326.7
            [rr_ratio] => 2
            [closed_at] => 2025-03-27 20:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 322.85
            [stop_loss] => 326.7
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-27 20:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 322.3
            [stop_loss] => 326.7
            [rr_ratio] => 3
            [closed_at] => 2025-03-27 20:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 321.75
            [stop_loss] => 326.7
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-27 22:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 321.2
            [stop_loss] => 326.7
            [rr_ratio] => 4
            [closed_at] => 2025-03-27 22:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 320.65
            [stop_loss] => 326.7
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-27 22:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 320.1
            [stop_loss] => 326.7
            [rr_ratio] => 5
            [closed_at] => 2025-03-27 22:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 319.55
            [stop_loss] => 326.7
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-27 22:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 319
            [stop_loss] => 326.7
            [rr_ratio] => 6
            [closed_at] => 2025-03-27 22:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 318.45
            [stop_loss] => 326.7
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-27 22:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 317.9
            [stop_loss] => 326.7
            [rr_ratio] => 7
            [closed_at] => 2025-03-27 22:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)