Short Trade on PLUME 16 Sep 2025 at 09:24:10

Take profit at 0.1212 (1.14 %) and Stop Loss at 0.1234 (0.65 %)

Short Trade on PLUME

The 16 Sep 2025 at 09:24:10

With 10900.3058 PLUME at 0.1226$ per unit.

Position size of 1336.5955 $

Take profit at 0.1212 (1.14 %) and Stop Loss at 0.1234 (0.65 %)

That's a 1.75 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 5.99
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.304696

15m : -0.043806

1H : -0.039961

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0004892829077
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.12173
  4. ema21 : 0.122868
  5. ema50 : 0.125257
  6. ema100 : 0.125343
  7. price_ema9_diff : 0.00730386
  8. ema9_ema21_diff : -0.00926178
  9. ema21_ema50_diff : -0.0190717
  10. price_ema100_diff : -0.0217301
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0919168
  14. ema_slope_21 : -0.169999
  15. ema_slope_50 : -0.14275
  16. ema_slope_100 : -0.0646111
  17. rsi : 0.472571
  18. adx : 0.251575
  19. kc_percentage : 0.485423
  20. kc_width_percentage : 0.0732275
  21. volume_ema_diff : -0.601302
  22. volume_ema1 : 182179.06407896
  23. volume_ema2 : 456935.15767734
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.121629
  28. ema21 : 0.121472
  29. ema50 : 0.121896
  30. ema100 : 0.122917
  31. price_ema9_diff : 0.00814755
  32. ema9_ema21_diff : 0.00129191
  33. ema21_ema50_diff : -0.00347917
  34. price_ema100_diff : -0.0024179
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0239118
  38. ema_slope_21 : -0.0136629
  39. ema_slope_50 : -0.0268861
  40. ema_slope_100 : -0.0312337
  41. rsi : 0.603926
  42. adx : 0.12412
  43. kc_percentage : 0.827004
  44. kc_width_percentage : 0.0287648
  45. volume_ema_diff : -0.53499
  46. volume_ema1 : 34587.909443417
  47. volume_ema2 : 74381.083050746
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.122055
  52. ema21 : 0.121601
  53. ema50 : 0.121383
  54. ema100 : 0.121566
  55. price_ema9_diff : 0.00462734
  56. ema9_ema21_diff : 0.00373034
  57. ema21_ema50_diff : 0.00179863
  58. price_ema100_diff : 0.00866201
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0834002
  62. ema_slope_21 : 0.0566796
  63. ema_slope_50 : 0.0226858
  64. ema_slope_100 : 0.00610069
  65. rsi : 0.638961
  66. adx : 0.287232
  67. kc_percentage : 1.00303
  68. kc_width_percentage : 0.016114
  69. volume_ema_diff : -0.414093
  70. volume_ema1 : 10569.024752632
  71. volume_ema2 : 18038.743067457
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115495
  77. 5m_price_ema100_diff:
    0.00020673
  78. 5m_price:
    115518
  79. 5m_correlation_with_coin:
    0.304696
  80. btc_indicators
  81. 15m_ema100:
    115275
  82. 15m_price_ema100_diff:
    0.000903889
  83. 15m_price:
    115379
  84. 15m_correlation_with_coin:
    -0.043806
  85. btc_indicators
  86. 1H_ema100:
    115374
  87. 1H_price_ema100_diff:
    0.00125556
  88. 1H_price:
    115518
  89. 1H_correlation_with_coin:
    -0.039961
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
09:24:10
16 Sep 2025
09:30:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1226 0.1234 0.1212 1.75 0.00933
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 0.1226
  • Stop Loss: 0.1234
  • Take Profit: 0.1212

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1234 - 0.1226 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1226 - 0.1212 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.0008 = 1.75

📌 Position Size

Amount Margin Quantity Leverage
1336.5955 100 10900.3058 13.37
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1226 = 1226

Donc, tu peux acheter 10000 avec un stoploss a 0.1234

Avec un position size USD de 1226$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0014 = 14

Si Take Profit atteint, tu gagneras 14$

Résumé

  • Taille de position 10000
  • Taille de position USD 1226
  • Perte potentielle 8
  • Gain potentiel 14
  • Risk-Reward Ratio 1.75

📌 Peformances

TP % Target TP $ Target
1.14 % 15.26 $
SL % Target SL $ Target
0.65 % 8.72 $
PNL PNL %
-8.72 $ -0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7341 % 112.51 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1212
            [entry_price] => 0.1226
            [stop_loss] => 0.12348
            [rr_ratio] => 1.59
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 09:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1212
            [entry_price] => 0.1226
            [stop_loss] => 0.12356
            [rr_ratio] => 1.46
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 09:50:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1212
            [entry_price] => 0.1226
            [stop_loss] => 0.12364
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 09:50:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1212
            [entry_price] => 0.1226
            [stop_loss] => 0.1238
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 09:50:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00241
            [max_drawdown] => 0.0009
            [rr_ratio] => 2.68
            [high] => 0.12350000
            [low] => 0.12019000
            [mfe_pct] => 1.97
            [mae_pct] => 0.73
            [mfe_mae_ratio] => 2.68
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T09:24:10-04:00
            [end_at] => 2025-09-16T11:24:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00276
            [max_drawdown] => 0.0009
            [rr_ratio] => 3.07
            [high] => 0.12350000
            [low] => 0.11984000
            [mfe_pct] => 2.25
            [mae_pct] => 0.73
            [mfe_mae_ratio] => 3.07
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T09:24:10-04:00
            [end_at] => 2025-09-16T16:24:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12285000
            [high_after] => 0.12350000
            [low_before] => 0.12005000
            [low_after] => 0.11984000
            [is_new_high] => 
            [is_new_low] => 1
        )

)