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Trade

sell - JUP

Status
win
2025-04-01 02:53:49
1 minute
PNL
0.85
Entry: 0.4349
Last: 0.43120000

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: 0.16
  4. atr: 0.00165492
Details
  1. score: 1.16
  2. long_trend_details
  3. ema9 - 0.428336
  4. ema21 - 0.436373
  5. ema50 - 0.453731
  6. ema9_ema21_diff - -1.84184
  7. ema21_ema50_diff - -3.82569
  8. ema9_ema50_diff - -5.59707
  9. price_ema21_diff - -0.337692
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Short Trade on JUP

The 01 Apr 2025 at 02:53:49

With 3223 JUP at 0.4349$ per unit.

Position size of 1402 $

Take profit at 0.4312 (0.85 %) and Stop Loss at 0.4374 (0.57 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -22.86 %

Symbol Start at Seach Score Trade Score Trades Count
INIT 2025-05-30 11:06:19 0.921 30 1
TAO 2025-07-04 17:14:09 0.9146 -100 1
CETUS 2025-05-25 18:53:03 0.9094 40 2
BGB 2025-06-18 20:15:04 0.9057 -100 4
PI 2025-06-26 15:19:45 0.9048 30 2
PNUT 2025-05-17 10:39:32 0.9029 -100 2
GORK 2025-05-17 02:46:11 0.9014 40 1

📌 Time Data

Start at Closed at Duration
01 Apr 2025
02:53:49		 01 Apr 2025
02:55:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4349 0.4374 0.4312 1.5 0.4487
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 0.4349
  • Stop Loss: 0.4374
  • Take Profit: 0.4312

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4374 - 0.4349 = 0.0025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4349 - 0.4312 = 0.0037

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0037 / 0.0025 = 1.48

📌 Position Size

Amount Margin Quantity Leverage
1402 1402 3223 14.02
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 0.0025

Taille de position = 8 / 0.0025 = 3200

Taille de position USD = 3200 x 0.4349 = 1391.68

Donc, tu peux acheter 3200 avec un stoploss a 0.4374

Avec un position size USD de 1391.68$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3200 x 0.0025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3200 x 0.0037 = 11.84

Si Take Profit atteint, tu gagneras 11.84$

Résumé

  • Taille de position 3200
  • Taille de position USD 1391.68
  • Perte potentielle 8
  • Gain potentiel 11.84
  • Risk-Reward Ratio 1.48

📌 Peformances

TP % Target TP $ Target
0.85 % 12 $
SL % Target SL $ Target
0.57 % 8.1 $
PNL PNL %
12 $ 0.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.4299
            [stop_loss] => 0.4374
            [rr_ratio] => 2
            [closed_at] => 2025-04-01 03:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.42865
            [stop_loss] => 0.4374
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-01 03:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4274
            [stop_loss] => 0.4374
            [rr_ratio] => 3
            [closed_at] => 2025-04-01 03:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.42615
            [stop_loss] => 0.4374
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.4249
            [stop_loss] => 0.4374
            [rr_ratio] => 4
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.42365
            [stop_loss] => 0.4374
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.4224
            [stop_loss] => 0.4374
            [rr_ratio] => 5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.42115
            [stop_loss] => 0.4374
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.4199
            [stop_loss] => 0.4374
            [rr_ratio] => 6
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.41865
            [stop_loss] => 0.4374
            [rr_ratio] => 6.5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.4174
            [stop_loss] => 0.4374
            [rr_ratio] => 7
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)