Trade

sell - SHIB

Status
win
2025-04-07 06:20:43
1 hour
PNL
1.72
Entry: 1.102E-5
Last: 0.00001083

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 8.615758422E-8
Details
  1. score: 1.03
  2. 1H: ema9 - 1.0904E-5
  3. 1H: ema21 - 1.11871E-5
  4. 1H: ema50 - 1.15962E-5
  5. 1H: price_ema9_diff - 0.0103679
  6. 1H: ema9_ema21_diff - -0.02531
  7. 1H: ema21_ema50_diff - -0.0352785
  8. 1H: all_emas_in_trend - True
  9. 1H: all_emas_and_price_in_trend - False
  10. 1H: rsi - 0.428382
  11. 1H: kc_percentage - 0.379599
  12. 1H: kc_width_percentage - 0.109668
  13. ¸
  14. 15m: ema9 - 1.08334E-5
  15. 15m: ema21 - 1.08206E-5
  16. 15m: ema50 - 1.10066E-5
  17. 15m: price_ema9_diff - 0.0172428
  18. 15m: ema9_ema21_diff - 0.00117852
  19. 15m: ema21_ema50_diff - -0.0168943
  20. 15m: all_emas_in_trend - False
  21. 15m: all_emas_and_price_in_trend - False
  22. 15m: rsi - 0.573733
  23. 15m: kc_percentage - 0.818106
  24. 15m: kc_width_percentage - 0.0580231
  25. ¸
  26. 5m: ema9 - 1.09132E-5
  27. 5m: ema21 - 1.08341E-5
  28. 5m: ema50 - 1.07972E-5
  29. 5m: price_ema9_diff - 0.00985364
  30. 5m: ema9_ema21_diff - 0.00730395
  31. 5m: ema21_ema50_diff - 0.00341056
  32. 5m: all_emas_in_trend - True
  33. 5m: all_emas_and_price_in_trend - True
  34. 5m: rsi - 0.641079
  35. 5m: kc_percentage - 1.03284
  36. 5m: kc_width_percentage - 0.0308356
  37. ¸

Short Trade on SHIB

The 07 Apr 2025 at 06:20:43

With 682.2 SHIB at 1.102E-5$ per unit.

Take profit at 1.083E-5 (1.7 %) and Stop Loss at 1.115E-5 (1.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 42.14 %

Symbol Start at Seach Score Trade Score Trades Count
POL 2025-04-07 06:22:04 0.9859 30 1
FET 2025-04-07 06:20:56 0.9854 40 1
VET 2025-04-07 06:21:02 0.9838 40 1
APT 2025-04-07 06:20:51 0.9835 50 1
ONDO 2025-04-07 06:21:32 0.9791 40 1
DOGE 2025-04-07 06:20:25 0.9771 40 1
SOL 2025-04-07 06:20:27 0.9765 50 1
ADA 2025-04-07 06:20:16 0.9741 60 1
AVAX 2025-04-07 06:20:41 0.9735 30 1
FIL 2025-04-07 06:20:35 0.973 40 1
JUP 2025-04-07 06:21:26 0.9709 30 1
BTC 2025-04-07 06:20:04 0.9708 60 1
BNB 2025-04-07 06:20:29 0.9695 40 1
RENDER 2025-04-07 06:22:01 0.9694 40 1

📌 Time Data

Start at Closed at Duration
07 Apr 2025
06:20:43
07 Apr 2025
07:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.102E-5 1.115E-5 1.083E-5 1.5 1.28E-5
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 1.102E-5
  • Stop Loss: 1.115E-5
  • Take Profit: 1.083E-5

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.115E-5 - 1.102E-5 = 1.3E-7

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.102E-5 - 1.083E-5 = 1.9E-7

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 1.9E-7 / 1.3E-7 = 1.4615

📌 Position Size

Amount Margin Quantity Leverage
682.2 100 61900000 6.82
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 1.3E-7

Taille de position = 8 / 1.3E-7 = 61538461.54

Taille de position USD = 61538461.54 x 1.102E-5 = 678.15

Donc, tu peux acheter 61538461.54 avec un stoploss a 1.115E-5

Avec un position size USD de 678.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 61538461.54 x 1.3E-7 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 61538461.54 x 1.9E-7 = 11.69

Si Take Profit atteint, tu gagneras 11.69$

Résumé

  • Taille de position 61538461.54
  • Taille de position USD 678.15
  • Perte potentielle 8
  • Gain potentiel 11.69
  • Risk-Reward Ratio 1.4615

📌 Peformances

TP % Target TP $ Target
1.7 % 12 $
SL % Target SL $ Target
1.2 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.72 -0.090744101633393

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.076E-5
            [stop_loss] => 1.115E-5
            [rr_ratio] => 2
            [closed_at] => 2025-04-07 09:05:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 1.0695E-5
            [stop_loss] => 1.115E-5
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-07 09:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.063E-5
            [stop_loss] => 1.115E-5
            [rr_ratio] => 3
            [closed_at] => 2025-04-07 09:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.0565E-5
            [stop_loss] => 1.115E-5
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-07 09:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.05E-5
            [stop_loss] => 1.115E-5
            [rr_ratio] => 4
            [closed_at] => 2025-04-07 09:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.0435E-5
            [stop_loss] => 1.115E-5
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-07 09:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.037E-5
            [stop_loss] => 1.115E-5
            [rr_ratio] => 5
            [closed_at] => 2025-04-07 09:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)