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Short Trade on 1000BONK

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Short Trade on 1000BONK 15 Sep 2025 at 14:58:17

Take profit at 0.02294 (0.99 %) and Stop Loss at 0.02329 (0.52 %)

Short Trade on 1000BONK

The 15 Sep 2025 at 14:58:17

With 68556.3289 1000BONK at 0.02317$ per unit.

Position size of 1588.5873 $

Take profit at 0.02294 (0.99 %) and Stop Loss at 0.02329 (0.52 %)

That's a 1.92 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.87
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.63
Prediction 2 Probability
2 0.47
Prediction 3 Probability
1 0.55
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.671082

15m : 0.10879

1H : -0.026695

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 7.77949085E-5
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 0.0230464
  4. ema21 : 0.0235372
  5. ema50 : 0.0242823
  6. ema100 : 0.0245366
  7. price_ema9_diff : 0.00544923
  8. ema9_ema21_diff : -0.0208524
  9. ema21_ema50_diff : -0.0306853
  10. price_ema100_diff : -0.0556176
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.51713
  14. ema_slope_21 : -0.42554
  15. ema_slope_50 : -0.270818
  16. ema_slope_100 : -0.142329
  17. rsi : 0.387709
  18. adx : 0.49932
  19. kc_percentage : 0.283783
  20. kc_width_percentage : 0.0650471
  21. volume_ema_diff : -0.121136
  22. volume_ema1 : 2988064.931438
  23. volume_ema2 : 3399920.0834669
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.0229252
  27. ema21 : 0.0228968
  28. ema50 : 0.02317
  29. ema100 : 0.0236315
  30. price_ema9_diff : 0.0107623
  31. ema9_ema21_diff : 0.00123981
  32. ema21_ema50_diff : -0.0117898
  33. price_ema100_diff : -0.0194478
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0361906
  37. ema_slope_21 : -0.0202904
  38. ema_slope_50 : -0.0723688
  39. ema_slope_100 : -0.0760147
  40. rsi : 0.562383
  41. adx : 0.316791
  42. kc_percentage : 0.914738
  43. kc_width_percentage : 0.0290068
  44. volume_ema_diff : -0.558444
  45. volume_ema1 : 385783.85297915
  46. volume_ema2 : 873692.08006905
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.0230538
  50. ema21 : 0.0229525
  51. ema50 : 0.0228751
  52. ema100 : 0.0228822
  53. price_ema9_diff : 0.00512548
  54. ema9_ema21_diff : 0.00441202
  55. ema21_ema50_diff : 0.00338626
  56. price_ema100_diff : 0.0126624
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0781892
  60. ema_slope_21 : 0.0661876
  61. ema_slope_50 : 0.0330436
  62. ema_slope_100 : 0.0132469
  63. rsi : 0.739385
  64. adx : 0.272068
  65. kc_percentage : 1.23351
  66. kc_width_percentage : 0.0125406
  67. volume_ema_diff : -0.368253
  68. volume_ema1 : 139585.96191322
  69. volume_ema2 : 220952.60195098
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114794
  74. 5m_price_ema100_diff: 
    0.00434188
  75. 5m_price: 
    115292
  76. 5m_correlation_with_coin: 
    0.671082
  77. btc_indicators
  78. 15m_ema100: 
    115159
  79. 15m_price_ema100_diff: 
    -0.000864125
  80. 15m_price: 
    115060
  81. 15m_correlation_with_coin: 
    0.10879
  82. btc_indicators
  83. 1H_ema100: 
    115260
  84. 1H_price_ema100_diff: 
    0.000277076
  85. 1H_price: 
    115292
  86. 1H_correlation_with_coin: 
    -0.026695
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:58:17		 15 Sep 2025
16:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02317 0.02329 0.02294 1.92 0.006225
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 0.02317
  • Stop Loss: 0.02329
  • Take Profit: 0.02294

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02329 - 0.02317 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02317 - 0.02294 = 0.00023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00023 / 0.00012 = 1.9167

📌 Position Size

Amount Margin Quantity Leverage
1588.5873 100 68556.3289 15.89
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.02317 = 1544.67

Donc, tu peux acheter 66666.67 avec un stoploss a 0.02329

Avec un position size USD de 1544.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00023 = 15.33

Si Take Profit atteint, tu gagneras 15.33$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 1544.67
  • Perte potentielle 8
  • Gain potentiel 15.33
  • Risk-Reward Ratio 1.9167

📌 Peformances

TP % Target TP $ Target
0.99 % 15.77 $
SL % Target SL $ Target
0.52 % 8.23 $
PNL PNL %
-8.23 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6215 % 120 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02294
            [entry_price] => 0.02317
            [stop_loss] => 0.023302
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 16:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02294
            [entry_price] => 0.02317
            [stop_loss] => 0.023314
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 16:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02294
            [entry_price] => 0.02317
            [stop_loss] => 0.023326
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 17:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02294
            [entry_price] => 0.02317
            [stop_loss] => 0.02335
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 17:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000216
            [max_drawdown] => 0.000144
            [rr_ratio] => 1.5
            [high] => 0.02331400
            [low] => 0.02295400
            [mfe_pct] => 0.93
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 1.5
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:58:17-04:00
            [end_at] => 2025-09-15T16:58:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000216
            [max_drawdown] => 0.000193
            [rr_ratio] => 1.12
            [high] => 0.02336300
            [low] => 0.02295400
            [mfe_pct] => 0.93
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 1.12
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:58:17-04:00
            [end_at] => 2025-09-15T21:58:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02317300
            [high_after] => 0.02336300
            [low_before] => 0.02247200
            [low_after] => 0.02295400
            [is_new_high] => 
            [is_new_low] => 
        )

)