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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
ML Pullback Score: 4.52

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
  3. ema9 - 0.0148179
  4. ema21 - 0.0151508
  5. ema50 - 0.0157301
  6. ema100 - 0.0161854
  7. price_ema9_diff - 0.00412114
  8. ema9_ema21_diff - -0.0219734
  9. ema21_ema50_diff - -0.036826
  10. price_ema100_diff - -0.0807196
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.408058
  14. kc_percentage - 0.31152
  15. kc_width_percentage - 0.0876162
  16. volume_ema_diff - -0.0611405
    17. ¸
  17. 15m
  18. ema9 - 0.0147168
  19. ema21 - 0.014682
  20. ema50 - 0.0148843
  21. ema100 - 0.0151548
  22. price_ema9_diff - 0.0110182
  23. ema9_ema21_diff - 0.00237184
  24. ema21_ema50_diff - -0.0135912
  25. price_ema100_diff - -0.0182044
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.590868
  29. kc_percentage - 0.881839
  30. kc_width_percentage - 0.0352231
  31. volume_ema_diff - -0.57106
    32. ¸
  32. 5m
  33. ema9 - 0.0147778
  34. ema21 - 0.0147117
  35. ema50 - 0.0146499
  36. ema100 - 0.0146994
  37. price_ema9_diff - 0.00684174
  38. ema9_ema21_diff - 0.00449756
  39. ema21_ema50_diff - 0.00421718
  40. price_ema100_diff - 0.0122163
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.681074
  44. kc_percentage - 1.13262
  45. kc_width_percentage - 0.0172973
  46. volume_ema_diff - -0.535944
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 101901
  50. 5m_price_ema100_diff: -0.000314186
  51. 5m_price: 101869
  52. 5m_correlation_with_coin: 0.84728
  53. btc_indicators
  54. 15m_ema100: 103233
  55. 15m_price_ema100_diff: -0.0132083
  56. 15m_price: 101869
  57. btc_indicators
  58. 1H_ema100: 104548
  59. 1H_price_ema100_diff: -0.0256215
  60. 1H_price: 101869
    61. ¸

Short Trade on 1000BONK

The 05 Jun 2025 at 21:36:46

With 79755.809 1000BONK at 0.01488$ per unit.

Position size of 1186.6867 $

Take profit at 0.01473 (1.01 %) and Stop Loss at 0.01498 (0.67 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -35.83 %

Symbol Start at Seach Score Trade Score Trades Count
ARC 2025-04-06 18:07:11 0.9634 -61.67 6
MELANIA 2025-06-05 21:42:47 0.9651 -100 1
WCT 2025-06-09 06:23:40 0.9602 -13.33 3
BANANA 2025-04-06 20:41:45 0.9605 30 1
BANANA 2025-04-02 06:31:55 0.9586 30 1
DOT 2025-06-13 02:59:06 0.9593 -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 0.03211
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
1186.6867 100 79755.809 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
1.01 % 11.96 $
SL % Target SL $ Target
0.67 % 7.98 $
PNL PNL %
11.96 $ 1.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.087365591397844 % 0 % 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
        )

    [5.5] => Array
        (
            [take_profit] => 0.01433
            [stop_loss] => 0.01498
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01428
            [stop_loss] => 0.01498
            [rr_ratio] => 6
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.01423
            [stop_loss] => 0.01498
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01418
            [stop_loss] => 0.01498
            [rr_ratio] => 7
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000215
            [max_drawdown] => 1.2999999999999E-5
            [rr_ratio] => 16.54
            [high] => 0.01489300
            [low] => 0.01466500
            [mfe_pct] => 1.44
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 16.54
            [candles_analyzed] => 24
            [start_at] => 2025-06-05T21:36:46-04:00
            [end_at] => 2025-06-05T23:36:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000215
            [max_drawdown] => 0.000251
            [rr_ratio] => 0.86
            [high] => 0.01513100
            [low] => 0.01466500
            [mfe_pct] => 1.44
            [mae_pct] => 1.69
            [mfe_mae_ratio] => 0.86
            [candles_analyzed] => 72
            [start_at] => 2025-06-05T21:36:46-04:00
            [end_at] => 2025-06-06T03:36:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01489300
            [high_after] => 0.01513100
            [low_before] => 0.01435700
            [low_after] => 0.01466500
            [is_new_high] => 
            [is_new_low] => 
        )

)