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Trade

sell - JUP

Status
win
2025-04-01 02:43:45
21 minutes
PNL
0.83
Entry: 0.4337
Last: 0.43010000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 50

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.00160185
Details
  1. score: 1.15
  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 - -0.612686
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Short Trade on JUP

The 01 Apr 2025 at 02:43:45

With 3329 JUP at 0.4337$ per unit.

Position size of 1444 $

Take profit at 0.4301 (0.83 %) and Stop Loss at 0.4361 (0.55 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -28.75 %

Symbol Start at Seach Score Trade Score Trades Count
DOT 2025-04-09 02:10:19 0.9193 -100 1
INIT 2025-05-30 11:06:19 0.9171 30 1
TAO 2025-07-04 17:14:09 0.9154 -100 1
BGB 2025-06-18 20:11:16 0.9073 -100 3
CETUS 2025-05-25 18:53:03 0.9052 40 2
PNUT 2025-05-17 10:29:49 0.904 -100 2
PI 2025-06-26 15:19:45 0.9039 30 2
TRX 2025-05-06 15:00:23 0.9043 70 1

📌 Time Data

Start at Closed at Duration
01 Apr 2025
02:43:45		 01 Apr 2025
03:05:00		 21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4337 0.4361 0.4301 1.5 0.4832
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 0.4337
  • Stop Loss: 0.4361
  • Take Profit: 0.4301

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4361 - 0.4337 = 0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4337 - 0.4301 = 0.0036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0036 / 0.0024 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1444 1444 3329 14.44
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 0.0024

Taille de position = 8 / 0.0024 = 3333.33

Taille de position USD = 3333.33 x 0.4337 = 1445.67

Donc, tu peux acheter 3333.33 avec un stoploss a 0.4361

Avec un position size USD de 1445.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3333.33 x 0.0024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3333.33 x 0.0036 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 3333.33
  • Taille de position USD 1445.67
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.83 % 12 $
SL % Target SL $ Target
0.55 % 8 $
PNL PNL %
12 $ 0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.41503343324879 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.4289
            [stop_loss] => 0.4361
            [rr_ratio] => 2
            [closed_at] => 2025-04-01 03:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.4277
            [stop_loss] => 0.4361
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-01 03:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4265
            [stop_loss] => 0.4361
            [rr_ratio] => 3
            [closed_at] => 2025-04-01 04:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.4253
            [stop_loss] => 0.4361
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-01 04:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.4241
            [stop_loss] => 0.4361
            [rr_ratio] => 4
            [closed_at] => 2025-04-01 04:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.4229
            [stop_loss] => 0.4361
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-01 04:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.4217
            [stop_loss] => 0.4361
            [rr_ratio] => 5
            [closed_at] => 2025-04-01 04:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.4205
            [stop_loss] => 0.4361
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-01 04:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.4193
            [stop_loss] => 0.4361
            [rr_ratio] => 6
            [closed_at] => 2025-04-01 04:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.4181
            [stop_loss] => 0.4361
            [rr_ratio] => 6.5
            [closed_at] => 2025-04-01 04:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.4169
            [stop_loss] => 0.4361
            [rr_ratio] => 7
            [closed_at] => 2025-04-01 04:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)