Trade

sell - 1000BONK

Status
win
2025-06-05 21:40:54
29 minutes
PNL
0.94
Entry: 0.01488
Last: 0.01474000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2833
Prediction 1 Accuracy
Weak Trade
0.59
Prediction 2 Accuracy
0 0.41
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: 6.366728485E-5
Details
  1. score: 1.13
  2. 1H: ema9 - 0.0147962
  3. 1H: ema21 - 0.0151354
  4. 1H: ema50 - 0.0157251
  5. 1H: ema100 - 0.0161868
  6. 1H: price_ema9_diff - 0.00586102
  7. 1H: ema9_ema21_diff - -0.0224066
  8. 1H: ema21_ema50_diff - -0.0375015
  9. 1H: price_ema100_diff - -0.0805517
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.417013
  13. 1H: kc_percentage - 0.326248
  14. 1H: kc_width_percentage - 0.0872728
  15. ¸
  16. 15m: ema9 - 0.014708
  17. 15m: ema21 - 0.0146707
  18. 15m: ema50 - 0.0148739
  19. 15m: ema100 - 0.015155
  20. 15m: price_ema9_diff - 0.0118948
  21. 15m: ema9_ema21_diff - 0.00254376
  22. 15m: ema21_ema50_diff - -0.0136612
  23. 15m: price_ema100_diff - -0.0179518
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.600505
  27. 15m: kc_percentage - 0.912078
  28. 15m: kc_width_percentage - 0.0350953
  29. ¸
  30. 5m: ema9 - 0.0147984
  31. 5m: ema21 - 0.014727
  32. 5m: ema50 - 0.0146595
  33. 5m: ema100 - 0.0147074
  34. 5m: price_ema9_diff - 0.00571447
  35. 5m: ema9_ema21_diff - 0.00484709
  36. 5m: ema21_ema50_diff - 0.00460285
  37. 5m: price_ema100_diff - 0.0119347
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.683595
  41. 5m: kc_percentage - 1.12923
  42. 5m: kc_width_percentage - 0.0161439
  43. ¸

Short Trade on 1000BONK

The 05 Jun 2025 at 21:40:54

With 1247 1000BONK at 0.01488$ per unit.

Take profit at 0.01474 (0.94 %) and Stop Loss at 0.01498 (0.67 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -46.67 %

Symbol Start at Seach Score Trade Score Trades Count
MELANIA 2025-06-05 21:42:47 0.9676 -100 1
ARC 2025-04-06 18:07:11 0.9628 -61.67 6
BANANA 2025-04-06 20:36:57 0.9576 -35 2
BANANA 2025-04-02 06:31:55 0.958 30 1
TAO 2025-06-05 21:48:54 0.9581 40 1
AVAX 2025-05-07 17:30:54 0.9564 -100 1
ELDE 2025-05-30 13:46:39 0.9552 -100 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
21:40:54
05 Jun 2025
22:10:00
29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01488 0.01498 0.01474 1.4 0.0155
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: 0.01474

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 - 0.01474 = 0.00014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00014 / 9.9999999999999E-5 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
1247 100 83770 12.47
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 0.00014 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 80000
  • Taille de position USD 1190.4
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.94 % 12 $
SL % Target SL $ Target
0.67 % 8.4 $
RR PNL PNL % Max Drawdown
1.4 12 $ 0.94 0

📌 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
(
)