Short Trade on 1000BONK 15 Sep 2025 at 14:47:22

Take profit at 0.02284 (1.04 %) and Stop Loss at 0.02319 (0.48 %)

Short Trade on 1000BONK

The 15 Sep 2025 at 14:47:22

With 68356.2026 1000BONK at 0.02308$ per unit.

Position size of 1577.4561 $

Take profit at 0.02284 (1.04 %) and Stop Loss at 0.02319 (0.48 %)

That's a 2.18 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.9
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.68
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 : 0.666539

15m : -0.241076

1H : -0.011318

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 7.802266848E-5
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0230274
  4. ema21 : 0.0235285
  5. ema50 : 0.0242786
  6. ema100 : 0.0245347
  7. price_ema9_diff : 0.00215331
  8. ema9_ema21_diff : -0.0213005
  9. ema21_ema50_diff : -0.0308923
  10. price_ema100_diff : -0.0594173
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.523573
  14. ema_slope_21 : -0.428441
  15. ema_slope_50 : -0.272055
  16. ema_slope_100 : -0.142957
  17. rsi : 0.366135
  18. adx : 0.502327
  19. kc_percentage : 0.222337
  20. kc_width_percentage : 0.0642749
  21. volume_ema_diff : -0.142452
  22. volume_ema1 : 2907461.6507604
  23. volume_ema2 : 3390437.3445637
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.022923
  28. ema21 : 0.0228958
  29. ema50 : 0.0231696
  30. ema100 : 0.0236313
  31. price_ema9_diff : 0.0067151
  32. ema9_ema21_diff : 0.00118746
  33. ema21_ema50_diff : -0.0118146
  34. price_ema100_diff : -0.0234588
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0353875
  38. ema_slope_21 : -0.0206534
  39. ema_slope_50 : -0.0725226
  40. ema_slope_100 : -0.0760908
  41. rsi : 0.558756
  42. adx : 0.316791
  43. kc_percentage : 0.778439
  44. kc_width_percentage : 0.0287622
  45. volume_ema_diff : -0.561175
  46. volume_ema1 : 383267.72918229
  47. volume_ema2 : 873396.06550471
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.0229984
  52. ema21 : 0.0229107
  53. ema50 : 0.0228506
  54. ema100 : 0.0228608
  55. price_ema9_diff : 0.00341668
  56. ema9_ema21_diff : 0.00382516
  57. ema21_ema50_diff : 0.00263114
  58. price_ema100_diff : 0.00945487
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0861043
  62. ema_slope_21 : 0.0665476
  63. ema_slope_50 : 0.0307176
  64. ema_slope_100 : 0.0121742
  65. rsi : 0.68892
  66. adx : 0.23812
  67. kc_percentage : 1.05915
  68. kc_width_percentage : 0.0124665
  69. volume_ema_diff : -0.249316
  70. volume_ema1 : 172522.07507905
  71. volume_ema2 : 229820.01775735
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114782
  77. 5m_price_ema100_diff:
    0.00161315
  78. 5m_price:
    114967
  79. 5m_correlation_with_coin:
    0.666539
  80. btc_indicators
  81. 15m_ema100:
    115158
  82. 15m_price_ema100_diff:
    -0.00165317
  83. 15m_price:
    114967
  84. 15m_correlation_with_coin:
    -0.241076
  85. btc_indicators
  86. 1H_ema100:
    115254
  87. 1H_price_ema100_diff:
    -0.00248861
  88. 1H_price:
    114967
  89. 1H_correlation_with_coin:
    -0.011318
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:47:22
15 Sep 2025
15:05:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02308 0.02319 0.02284 2.18 0.006104
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 0.02308
  • Stop Loss: 0.02319
  • Take Profit: 0.02284

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02319 - 0.02308 = 0.00011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02308 - 0.02284 = 0.00024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00024 / 0.00011 = 2.1818

📌 Position Size

Amount Margin Quantity Leverage
1577.4561 100 68356.2026 15.77
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 0.00011

Taille de position = 8 / 0.00011 = 72727.27

Taille de position USD = 72727.27 x 0.02308 = 1678.55

Donc, tu peux acheter 72727.27 avec un stoploss a 0.02319

Avec un position size USD de 1678.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 72727.27 x 0.00011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 72727.27 x 0.00024 = 17.45

Si Take Profit atteint, tu gagneras 17.45$

Résumé

  • Taille de position 72727.27
  • Taille de position USD 1678.55
  • Perte potentielle 8
  • Gain potentiel 17.45
  • Risk-Reward Ratio 2.1818

📌 Peformances

TP % Target TP $ Target
1.04 % 16.41 $
SL % Target SL $ Target
0.48 % 7.52 $
PNL PNL %
-7.52 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6932 % 145.45 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02284
            [entry_price] => 0.02308
            [stop_loss] => 0.023201
            [rr_ratio] => 1.98
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02284
            [entry_price] => 0.02308
            [stop_loss] => 0.023212
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02284
            [entry_price] => 0.02308
            [stop_loss] => 0.023223
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02284
            [entry_price] => 0.02308
            [stop_loss] => 0.023245
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 16:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000126
            [max_drawdown] => 0.00016
            [rr_ratio] => 0.79
            [high] => 0.02324000
            [low] => 0.02295400
            [mfe_pct] => 0.55
            [mae_pct] => 0.69
            [mfe_mae_ratio] => 0.79
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:47:22-04:00
            [end_at] => 2025-09-15T16:47:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000126
            [max_drawdown] => 0.000283
            [rr_ratio] => 0.45
            [high] => 0.02336300
            [low] => 0.02295400
            [mfe_pct] => 0.55
            [mae_pct] => 1.23
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:47:22-04:00
            [end_at] => 2025-09-15T21:47:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02311300
            [high_after] => 0.02336300
            [low_before] => 0.02247200
            [low_after] => 0.02295400
            [is_new_high] => 
            [is_new_low] => 
        )

)