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Short Trade on 1000BONK

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Short Trade on 1000BONK 15 Sep 2025 at 14:03:20

Take profit at 0.0227 (1.22 %) and Stop Loss at 0.02312 (0.61 %)

Short Trade on 1000BONK

The 15 Sep 2025 at 14:03:20

With 56664.6308 1000BONK at 0.02298$ per unit.

Position size of 1302.2099 $

Take profit at 0.0227 (1.22 %) and Stop Loss at 0.02312 (0.61 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.48
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.47
Prediction 3 Probability
1 0.84
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 : range_medium
BTC Correlation Score

5m : 0.608163

15m : 0.030386

1H : -0.059251

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 9.412102848E-5
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.0230082
  4. ema21 : 0.0235198
  5. ema50 : 0.0242748
  6. ema100 : 0.0245328
  7. price_ema9_diff : -0.00118282
  8. ema9_ema21_diff : -0.0217537
  9. ema21_ema50_diff : -0.0311015
  10. price_ema100_diff : -0.0632575
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.530085
  14. ema_slope_21 : -0.431373
  15. ema_slope_50 : -0.273305
  16. ema_slope_100 : -0.143591
  17. rsi : 0.344644
  18. adx : 0.50786
  19. kc_percentage : 0.149309
  20. kc_width_percentage : 0.0618803
  21. volume_ema_diff : -0.23944
  22. volume_ema1 : 2546313.3629249
  23. volume_ema2 : 3347949.3107007
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.0228282
  27. ema21 : 0.0228571
  28. ema50 : 0.0231911
  29. ema100 : 0.0236767
  30. price_ema9_diff : 0.00669165
  31. ema9_ema21_diff : -0.00126323
  32. ema21_ema50_diff : -0.0144049
  33. price_ema100_diff : -0.0293852
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0212312
  37. ema_slope_21 : -0.0566495
  38. ema_slope_50 : -0.0924277
  39. ema_slope_100 : -0.0862109
  40. rsi : 0.526628
  41. adx : 0.372203
  42. kc_percentage : 0.674117
  43. kc_width_percentage : 0.0328026
  44. volume_ema_diff : -0.402291
  45. volume_ema1 : 559772.39621683
  46. volume_ema2 : 936531.33051759
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.0228678
  50. ema21 : 0.0227907
  51. ema50 : 0.0227919
  52. ema100 : 0.022847
  53. price_ema9_diff : 0.00494875
  54. ema9_ema21_diff : 0.00338325
  55. ema21_ema50_diff : -5.57116E-5
  56. price_ema100_diff : 0.00586153
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0739355
  60. ema_slope_21 : 0.0353839
  61. ema_slope_50 : 0.00484552
  62. ema_slope_100 : -0.00412047
  63. rsi : 0.660086
  64. adx : 0.14964
  65. kc_percentage : 1.02404
  66. kc_width_percentage : 0.0155614
  67. volume_ema_diff : -0.200391
  68. volume_ema1 : 222384.22654381
  69. volume_ema2 : 278116.31015721
  70. regime : range_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114761
  74. 5m_price_ema100_diff: 
    0.0029488
  75. 5m_price: 
    115100
  76. 5m_correlation_with_coin: 
    0.608163
  77. btc_indicators
  78. 15m_ema100: 
    115192
  79. 15m_price_ema100_diff: 
    -0.00080401
  80. 15m_price: 
    115100
  81. 15m_correlation_with_coin: 
    0.030386
  82. btc_indicators
  83. 1H_ema100: 
    115257
  84. 1H_price_ema100_diff: 
    -0.00136342
  85. 1H_price: 
    115100
  86. 1H_correlation_with_coin: 
    -0.059251
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:03:20		 15 Sep 2025
14:55:00		 51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02298 0.02312 0.0227 2 0.005677
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 0.02298
  • Stop Loss: 0.02312
  • Take Profit: 0.0227

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02312 - 0.02298 = 0.00014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02298 - 0.0227 = 0.00028

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00028 / 0.00014 = 2

📌 Position Size

Amount Margin Quantity Leverage
1302.2099 100 56664.6308 13.02
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 0.00014

Taille de position = 8 / 0.00014 = 57142.86

Taille de position USD = 57142.86 x 0.02298 = 1313.14

Donc, tu peux acheter 57142.86 avec un stoploss a 0.02312

Avec un position size USD de 1313.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 57142.86 x 0.00014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 57142.86 x 0.00028 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 57142.86
  • Taille de position USD 1313.14
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.22 % 15.87 $
SL % Target SL $ Target
0.61 % 7.93 $
PNL PNL %
-7.93 $ -0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8399 % 137.87 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0227
            [entry_price] => 0.02298
            [stop_loss] => 0.023134
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 14:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0227
            [entry_price] => 0.02298
            [stop_loss] => 0.023148
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 14:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0227
            [entry_price] => 0.02298
            [stop_loss] => 0.023162
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 14:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0227
            [entry_price] => 0.02298
            [stop_loss] => 0.02319
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000103
            [max_drawdown] => 0.00026
            [rr_ratio] => 0.4
            [high] => 0.02324000
            [low] => 0.02287700
            [mfe_pct] => 0.45
            [mae_pct] => 1.13
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:03:20-04:00
            [end_at] => 2025-09-15T16:03:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000103
            [max_drawdown] => 0.000383
            [rr_ratio] => 0.27
            [high] => 0.02336300
            [low] => 0.02287700
            [mfe_pct] => 0.45
            [mae_pct] => 1.67
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:03:20-04:00
            [end_at] => 2025-09-15T21:03:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02301100
            [high_after] => 0.02336300
            [low_before] => 0.02247200
            [low_after] => 0.02287700
            [is_new_high] => 
            [is_new_low] => 
        )

)