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Trade

buy - SUI

Status
win
2025-03-25 23:54:27
25 minutes
PNL
0.71
Entry: 2.441
Last: 2.45820000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0076759175488888
Details
  1. score: 2

Long Trade on SUI

The 25 Mar 2025 at 23:54:27

With 0.00 SUI at 2.441$ per unit.

Position size of 1696 $

Take profit at 2.458 (0.7 %) and Stop Loss at 2.429 (0.49 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -4.29 %

Symbol Start at Seach Score Trade Score Trades Count
VIRTUAL 2025-05-09 05:29:37 0.8989 30 1
DOGE 2025-03-25 23:59:31 0.8796 100 2
COW 2025-05-29 09:53:34 0.8676 -100 4
SUI 2025-06-07 11:51:42 0.8623 -100 3
BTC 2025-05-09 05:31:05 0.8595 30 1
ETHFI 2025-05-09 00:36:55 0.8578 -30 2
TAO 2025-06-01 03:44:44 0.8582 40 1

📌 Time Data

Start at Closed at Duration
25 Mar 2025
23:54:27		 26 Mar 2025
00:20:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.441 2.429 2.458 1.4 3.342
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 2.441
  • Stop Loss: 2.429
  • Take Profit: 2.458

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.429 - 2.441 = -0.012

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.441 - 2.458 = -0.017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.017 / -0.012 = 1.4167

📌 Position Size

Amount Margin Quantity Leverage
1696 0.00 0.00 16.96
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 -0.012

Taille de position = 8 / -0.012 = -666.67

Taille de position USD = -666.67 x 2.441 = -1627.34

Donc, tu peux acheter -666.67 avec un stoploss a 2.429

Avec un position size USD de -1627.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -666.67 x -0.012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -666.67 x -0.017 = 11.33

Si Take Profit atteint, tu gagneras 11.33$

Résumé

  • Taille de position -666.67
  • Taille de position USD -1627.34
  • Perte potentielle 8
  • Gain potentiel 11.33
  • Risk-Reward Ratio 1.4167

📌 Peformances

TP % Target TP $ Target
0.7 % 0.00 $
SL % Target SL $ Target
0.49 % 0.00 $
PNL PNL %
12 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.465
            [stop_loss] => 2.429
            [rr_ratio] => 2
            [closed_at] => 2025-03-26 00:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.471
            [stop_loss] => 2.429
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-26 00:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.477
            [stop_loss] => 2.429
            [rr_ratio] => 3
            [closed_at] => 2025-03-26 00:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.483
            [stop_loss] => 2.429
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-26 00:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.489
            [stop_loss] => 2.429
            [rr_ratio] => 4
            [closed_at] => 2025-03-26 00:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.495
            [stop_loss] => 2.429
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-26 00:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.501
            [stop_loss] => 2.429
            [rr_ratio] => 5
            [closed_at] => 2025-03-26 01:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.507
            [stop_loss] => 2.429
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-26 01:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.513
            [stop_loss] => 2.429
            [rr_ratio] => 6
            [closed_at] => 2025-03-26 01:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.519
            [stop_loss] => 2.429
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-26 02:40:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 2.525
            [stop_loss] => 2.429
            [rr_ratio] => 7
            [closed_at] => 2025-03-26 02:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)