Short Trade on PUMPBTC 30 Sep 2025 at 13:23:58

Take profit at 0.05737 (7.45 %) and Stop Loss at 0.0643 (3.73 %)

Short Trade on PUMPBTC

The 30 Sep 2025 at 13:23:58

With 3464.3187 PUMPBTC at 0.06199$ per unit.

Position size of 214.7531 $

Take profit at 0.05737 (7.45 %) and Stop Loss at 0.0643 (3.73 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.73
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.53
Prediction 3 Probability
1 0.53
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high_confirmed

BTC Correlation Score

5m : 0.137141

15m : -0.036985

1H : 0.038855

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.001539504259
Details
  1. score: 1.21
  2. 1H
  3. ema9 : 0.0601849
  4. ema21 : 0.0626557
  5. ema50 : 0.063491
  6. ema100 : 0.0636505
  7. price_ema9_diff : 0.0299916
  8. ema9_ema21_diff : -0.0394351
  9. ema21_ema50_diff : -0.0131547
  10. price_ema100_diff : -0.0260878
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.516949
  14. ema_slope_21 : -0.129179
  15. ema_slope_50 : 0.00228413
  16. ema_slope_100 : 0.0134975
  17. rsi : 0.49089
  18. adx : 0.346456
  19. kc_percentage : 0.481631
  20. kc_width_percentage : 0.502543
  21. volume_ema_diff : -0.126922
  22. volume_ema1 : 1666610.8355645
  23. volume_ema2 : 1908891.6075299
  24. chop : 21.7868
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0573888
  29. ema21 : 0.0575706
  30. ema50 : 0.0608989
  31. ema100 : 0.0631854
  32. price_ema9_diff : 0.0801758
  33. ema9_ema21_diff : -0.00315801
  34. ema21_ema50_diff : -0.0546541
  35. price_ema100_diff : -0.0189191
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.538834
  39. ema_slope_21 : -0.277625
  40. ema_slope_50 : -0.381149
  41. ema_slope_100 : -0.249849
  42. rsi : 0.547429
  43. adx : 0.203468
  44. kc_percentage : 0.890476
  45. kc_width_percentage : 0.187735
  46. volume_ema_diff : -0.689071
  47. volume_ema1 : 227489.96604035
  48. volume_ema2 : 731647.4101915
  49. chop : 54.4164
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.0590905
  54. ema21 : 0.0573505
  55. ema50 : 0.0567785
  56. ema100 : 0.0592216
  57. price_ema9_diff : 0.0490686
  58. ema9_ema21_diff : 0.0303382
  59. ema21_ema50_diff : 0.0100752
  60. price_ema100_diff : 0.0467452
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.396786
  64. ema_slope_21 : 0.351267
  65. ema_slope_50 : 0.117761
  66. ema_slope_100 : -0.0488925
  67. rsi : 0.709615
  68. adx : 0.380951
  69. kc_percentage : 1.21268
  70. kc_width_percentage : 0.10273
  71. volume_ema_diff : -0.21204
  72. volume_ema1 : 117316.57985016
  73. volume_ema2 : 148886.60001779
  74. chop : 37.8241
  75. regime : bull_high_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113085
  80. 5m_price_ema100_diff:
    0.000882149
  81. 5m_price:
    113185
  82. 5m_correlation_with_coin:
    0.137141
  83. btc_indicators
  84. 15m_ema100:
    113507
  85. 15m_price_ema100_diff:
    -0.0028371
  86. 15m_price:
    113185
  87. 15m_correlation_with_coin:
    -0.036985
  88. btc_indicators
  89. 1H_ema100:
    111600
  90. 1H_price_ema100_diff:
    0.0141971
  91. 1H_price:
    113185
  92. 1H_correlation_with_coin:
    0.038855
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
13:23:58
30 Sep 2025
13:40:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06199 0.0643 0.05737 2 0.02515
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 0.06199
  • Stop Loss: 0.0643
  • Take Profit: 0.05737

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0643 - 0.06199 = 0.00231

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06199 - 0.05737 = 0.00462

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00462 / 0.00231 = 2

📌 Position Size

Amount Margin Quantity Leverage
214.7531 100 3464.3187 2.15
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 0.00231

Taille de position = 8 / 0.00231 = 3463.2

Taille de position USD = 3463.2 x 0.06199 = 214.68

Donc, tu peux acheter 3463.2 avec un stoploss a 0.0643

Avec un position size USD de 214.68$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3463.2 x 0.00231 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3463.2 x 0.00462 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 3463.2
  • Taille de position USD 214.68
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
7.45 % 16.01 $
SL % Target SL $ Target
3.73 % 8 $
PNL PNL %
-8 $ -3.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.162 % 111.69 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05737
            [entry_price] => 0.06199
            [stop_loss] => 0.064531
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05737
            [entry_price] => 0.06199
            [stop_loss] => 0.064762
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 14:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05737
            [entry_price] => 0.06199
            [stop_loss] => 0.064993
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 14:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05737
            [entry_price] => 0.06199
            [stop_loss] => 0.065455
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 14:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00261
            [max_drawdown] => 0.00503
            [rr_ratio] => 0.52
            [high] => 0.06702000
            [low] => 0.05938000
            [mfe_pct] => 4.21
            [mae_pct] => 8.11
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T13:23:58-04:00
            [end_at] => 2025-09-30T15:23:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00261
            [max_drawdown] => 0.00503
            [rr_ratio] => 0.52
            [high] => 0.06702000
            [low] => 0.05938000
            [mfe_pct] => 4.21
            [mae_pct] => 8.11
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T13:23:58-04:00
            [end_at] => 2025-09-30T20:23:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06261000
            [high_after] => 0.06702000
            [low_before] => 0.04976000
            [low_after] => 0.05938000
            [is_new_high] => 
            [is_new_low] => 
        )

)