Short Trade on 1000BONK 07 Oct 2025 at 16:08:46

Take profit at 0.01982 (1.15 %) and Stop Loss at 0.02017 (0.6 %)

Short Trade on 1000BONK

The 07 Oct 2025 at 16:08:46

With 69420.3213 1000BONK at 0.02005$ per unit.

Position size of 1392.1551 $

Take profit at 0.01982 (1.15 %) and Stop Loss at 0.02017 (0.6 %)

That's a 1.92 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.52
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.77
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low

BTC Correlation Score

5m : 0.766914

15m : 0.074327

1H : -0.082466

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 7.682668751E-5
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.020124
  4. ema21 : 0.0204664
  5. ema50 : 0.0205961
  6. ema100 : 0.0205086
  7. price_ema9_diff : -0.00348316
  8. ema9_ema21_diff : -0.0167289
  9. ema21_ema50_diff : -0.00629385
  10. price_ema100_diff : -0.0221669
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.371595
  14. ema_slope_21 : -0.2523
  15. ema_slope_50 : -0.0902938
  16. ema_slope_100 : -0.0279939
  17. rsi : 0.399157
  18. adx : 0.294217
  19. kc_percentage : 0.188961
  20. kc_width_percentage : 0.0633326
  21. volume_ema_diff : -0.269584
  22. volume_ema1 : 1967287.1239968
  23. volume_ema2 : 2693379.486035
  24. chop : 44.8166
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0198919
  29. ema21 : 0.0199798
  30. ema50 : 0.0203037
  31. ema100 : 0.0207089
  32. price_ema9_diff : 0.00814821
  33. ema9_ema21_diff : -0.00440196
  34. ema21_ema50_diff : -0.0159503
  35. price_ema100_diff : -0.0316241
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0387535
  39. ema_slope_21 : -0.0925246
  40. ema_slope_50 : -0.107462
  41. ema_slope_100 : -0.0902462
  42. rsi : 0.503171
  43. adx : 0.350928
  44. kc_percentage : 0.636478
  45. kc_width_percentage : 0.0309712
  46. volume_ema_diff : -0.491407
  47. volume_ema1 : 376330.26946285
  48. volume_ema2 : 739944.54553185
  49. chop : 71.4358
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.0199174
  54. ema21 : 0.0198902
  55. ema50 : 0.0199476
  56. ema100 : 0.0201313
  57. price_ema9_diff : 0.00685574
  58. ema9_ema21_diff : 0.00136876
  59. ema21_ema50_diff : -0.00287968
  60. price_ema100_diff : -0.00384279
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0247427
  64. ema_slope_21 : 0.00676862
  65. ema_slope_50 : -0.0152512
  66. ema_slope_100 : -0.0275543
  67. rsi : 0.637776
  68. adx : 0.186798
  69. kc_percentage : 1.02315
  70. kc_width_percentage : 0.0155735
  71. volume_ema_diff : -0.328557
  72. volume_ema1 : 140877.05362464
  73. volume_ema2 : 209812.56418886
  74. chop : 47.1643
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    122158
  80. 5m_price_ema100_diff:
    -0.00112093
  81. 5m_price:
    122021
  82. 5m_correlation_with_coin:
    0.766914
  83. btc_indicators
  84. 15m_ema100:
    123420
  85. 15m_price_ema100_diff:
    -0.0113341
  86. 15m_price:
    122021
  87. 15m_correlation_with_coin:
    0.074327
  88. btc_indicators
  89. 1H_ema100:
    123284
  90. 1H_price_ema100_diff:
    -0.0102491
  91. 1H_price:
    122021
  92. 1H_correlation_with_coin:
    -0.082466
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
07 Oct 2025
16:08:46
07 Oct 2025
16:25:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02005 0.02017 0.01982 1.92 0.006118
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 0.02005
  • Stop Loss: 0.02017
  • Take Profit: 0.01982

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02017 - 0.02005 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02005 - 0.01982 = 0.00023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00023 / 0.00012 = 1.9167

📌 Position Size

Amount Margin Quantity Leverage
1392.1551 100 69420.3213 13.92
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 0.02005 = 1336.67

Donc, tu peux acheter 66666.67 avec un stoploss a 0.02017

Avec un position size USD de 1336.67$

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 1336.67
  • Perte potentielle 8
  • Gain potentiel 15.33
  • Risk-Reward Ratio 1.9167

📌 Peformances

TP % Target TP $ Target
1.15 % 15.97 $
SL % Target SL $ Target
0.6 % 8.33 $
PNL PNL %
-8.33 $ -0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8778 % 146.67 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01982
            [entry_price] => 0.02005
            [stop_loss] => 0.020182
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-07 16:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01982
            [entry_price] => 0.02005
            [stop_loss] => 0.020194
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-07 16:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01982
            [entry_price] => 0.02005
            [stop_loss] => 0.020206
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-07 16:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01982
            [entry_price] => 0.02005
            [stop_loss] => 0.02023
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-07 16:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000299
            [max_drawdown] => 0.000291
            [rr_ratio] => 1.03
            [high] => 0.02034100
            [low] => 0.01975100
            [mfe_pct] => 1.49
            [mae_pct] => 1.45
            [mfe_mae_ratio] => 1.03
            [candles_analyzed] => 24
            [start_at] => 2025-10-07T16:08:46-04:00
            [end_at] => 2025-10-07T18:08:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000337
            [max_drawdown] => 0.000291
            [rr_ratio] => 1.16
            [high] => 0.02034100
            [low] => 0.01971300
            [mfe_pct] => 1.68
            [mae_pct] => 1.45
            [mfe_mae_ratio] => 1.16
            [candles_analyzed] => 84
            [start_at] => 2025-10-07T16:08:46-04:00
            [end_at] => 2025-10-07T23:08:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02014400
            [high_after] => 0.02034100
            [low_before] => 0.01962600
            [low_after] => 0.01971300
            [is_new_high] => 
            [is_new_low] => 
        )

)