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Trade

sell - 1000BONK

Status
win
2025-06-05 21:36:46
33 minutes
PNL
1.01
Entry: 0.01488
Last: 0.01473000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.4583
Prediction 1 Accuracy
Weak Trade
0.66
Prediction 2 Accuracy
0 0.45
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 6.687078219E-5
Details
  1. score: 1.13
  2. 1H: ema9 - 0.0148179
  3. 1H: ema21 - 0.0151508
  4. 1H: ema50 - 0.0157301
  5. 1H: ema100 - 0.0161854
  6. 1H: price_ema9_diff - 0.00412114
  7. 1H: ema9_ema21_diff - -0.0219734
  8. 1H: ema21_ema50_diff - -0.036826
  9. 1H: price_ema100_diff - -0.0807196
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.408058
  13. 1H: kc_percentage - 0.31152
  14. 1H: kc_width_percentage - 0.0876162
    15. ¸
  15. 15m: ema9 - 0.0147168
  16. 15m: ema21 - 0.014682
  17. 15m: ema50 - 0.0148843
  18. 15m: ema100 - 0.0151548
  19. 15m: price_ema9_diff - 0.0110182
  20. 15m: ema9_ema21_diff - 0.00237184
  21. 15m: ema21_ema50_diff - -0.0135912
  22. 15m: price_ema100_diff - -0.0182044
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.590868
  26. 15m: kc_percentage - 0.881839
  27. 15m: kc_width_percentage - 0.0352231
    28. ¸
  28. 5m: ema9 - 0.0147778
  29. 5m: ema21 - 0.0147117
  30. 5m: ema50 - 0.0146499
  31. 5m: ema100 - 0.0146994
  32. 5m: price_ema9_diff - 0.00684174
  33. 5m: ema9_ema21_diff - 0.00449756
  34. 5m: ema21_ema50_diff - 0.00421718
  35. 5m: price_ema100_diff - 0.0122163
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.681074
  39. 5m: kc_percentage - 1.13262
  40. 5m: kc_width_percentage - 0.0172973
    41. ¸

Short Trade on 1000BONK

The 05 Jun 2025 at 21:36:46

With 1187 1000BONK at 0.01488$ per unit.

Take profit at 0.01473 (1 %) and Stop Loss at 0.01498 (0.67 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -66.67 %

Symbol Start at Seach Score Trade Score Trades Count
ARC 2025-04-06 18:07:11 0.9633 -61.67 6
MELANIA 2025-06-05 21:42:47 0.965 -100 1
BANANA 2025-04-06 20:36:57 0.9589 -35 2
BANANA 2025-04-02 06:31:55 0.9585 30 1
AVAX 2025-05-07 17:30:54 0.9576 -100 1
FIS 2025-05-02 01:09:09 0.9557 -100 1
ELDE 2025-05-30 13:46:39 0.9541 -100 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
21:36:46		 05 Jun 2025
22:10:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01488 0.01498 0.01473 1.5 0.01551
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 0.01488
  • Stop Loss: 0.01498
  • Take Profit: 0.01473

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01498 - 0.01488 = 9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01488 - 0.01473 = 0.00015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00015 / 9.9999999999999E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1187 100 79760 11.87
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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.01488 = 1190.4

Donc, tu peux acheter 80000 avec un stoploss a 0.01498

Avec un position size USD de 1190.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 80000
  • Taille de position USD 1190.4
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1 % 12 $
SL % Target SL $ Target
0.67 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.01 -0.087365591397844

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01468
            [stop_loss] => 0.01498
            [rr_ratio] => 2
            [closed_at] => 2025-06-05 22:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01463
            [stop_loss] => 0.01498
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.01458
            [stop_loss] => 0.01498
            [rr_ratio] => 3
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.01453
            [stop_loss] => 0.01498
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01448
            [stop_loss] => 0.01498
            [rr_ratio] => 4
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.01443
            [stop_loss] => 0.01498
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01438
            [stop_loss] => 0.01498
            [rr_ratio] => 5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)