Long Trade on PLUME 12 Sep 2025 at 22:32:45

Take profit at 0.1326 (3.43 %) and Stop Loss at 0.126 (1.72 %)

Long Trade on PLUME

The 12 Sep 2025 at 22:32:45

With 3681.8527 PLUME at 0.1282$ per unit.

Position size of 472.0503 $

Take profit at 0.1326 (3.43 %) and Stop Loss at 0.126 (1.72 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.01
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.69
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.039796

15m : -0.048186

1H : -0.14603

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.001448546076
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 0.128666
  4. ema21 : 0.12427
  5. ema50 : 0.119208
  6. ema100 : 0.114564
  7. price_ema9_diff : -0.00354635
  8. ema9_ema21_diff : 0.0353737
  9. ema21_ema50_diff : 0.0424585
  10. price_ema100_diff : 0.119106
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.944591
  14. ema_slope_21 : 0.631285
  15. ema_slope_50 : 0.375512
  16. ema_slope_100 : 0.25749
  17. rsi : 0.595396
  18. adx : 0.414492
  19. kc_percentage : 0.699268
  20. kc_width_percentage : 0.143277
  21. volume_ema_diff : 0.195851
  22. volume_ema1 : 876288.5997388
  23. volume_ema2 : 732773.72135232
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.130991
  28. ema21 : 0.130819
  29. ema50 : 0.127128
  30. ema100 : 0.123307
  31. price_ema9_diff : -0.0212332
  32. ema9_ema21_diff : 0.00131584
  33. ema21_ema50_diff : 0.0290304
  34. price_ema100_diff : 0.0397554
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0360962
  38. ema_slope_21 : 0.129937
  39. ema_slope_50 : 0.205098
  40. ema_slope_100 : 0.166135
  41. rsi : 0.4405
  42. adx : 0.529013
  43. kc_percentage : 0.237571
  44. kc_width_percentage : 0.0805817
  45. volume_ema_diff : -0.235058
  46. volume_ema1 : 185664.53458989
  47. volume_ema2 : 242717.41743983
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.130003
  52. ema21 : 0.131546
  53. ema50 : 0.131773
  54. ema100 : 0.129845
  55. price_ema9_diff : -0.0137953
  56. ema9_ema21_diff : -0.0117266
  57. ema21_ema50_diff : -0.00172546
  58. price_ema100_diff : -0.0125951
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.331692
  62. ema_slope_21 : -0.170268
  63. ema_slope_50 : -0.0455458
  64. ema_slope_100 : 0.0153314
  65. rsi : 0.328789
  66. adx : 0.322172
  67. kc_percentage : -0.0818471
  68. kc_width_percentage : 0.0437828
  69. volume_ema_diff : -0.301678
  70. volume_ema1 : 59212.221622331
  71. volume_ema2 : 84792.223977603
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116006
  77. 5m_price_ema100_diff:
    -0.00115582
  78. 5m_price:
    115872
  79. 5m_correlation_with_coin:
    0.039796
  80. btc_indicators
  81. 15m_ema100:
    115624
  82. 15m_price_ema100_diff:
    0.00213899
  83. 15m_price:
    115872
  84. 15m_correlation_with_coin:
    -0.048186
  85. btc_indicators
  86. 1H_ema100:
    114096
  87. 1H_price_ema100_diff:
    0.0155613
  88. 1H_price:
    115872
  89. 1H_correlation_with_coin:
    -0.14603
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
22:32:45
12 Sep 2025
23:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1282 0.126 0.1326 2 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 0.1282
  • Stop Loss: 0.126
  • Take Profit: 0.1326

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.126 - 0.1282 = -0.0022

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1282 - 0.1326 = -0.0044

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0044 / -0.0022 = 2

📌 Position Size

Amount Margin Quantity Leverage
472.0503 100 3681.8527 4.72
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 -0.0022

Taille de position = 8 / -0.0022 = -3636.36

Taille de position USD = -3636.36 x 0.1282 = -466.18

Donc, tu peux acheter -3636.36 avec un stoploss a 0.126

Avec un position size USD de -466.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3636.36 x -0.0022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3636.36 x -0.0044 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -3636.36
  • Taille de position USD -466.18
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.43 % 16.2 $
SL % Target SL $ Target
1.72 % 8.1 $
PNL PNL %
-8.1 $ -1.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.7395 % 101.36 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1326
            [entry_price] => 0.1282
            [stop_loss] => 0.12578
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 00:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1326
            [entry_price] => 0.1282
            [stop_loss] => 0.12556
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 00:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1326
            [entry_price] => 0.1282
            [stop_loss] => 0.12534
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 00:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1326
            [entry_price] => 0.1282
            [stop_loss] => 0.1249
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 00:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00101
            [max_drawdown] => 0.00337
            [rr_ratio] => 0.3
            [high] => 0.12921000
            [low] => 0.12483000
            [mfe_pct] => 0.79
            [mae_pct] => 2.63
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T22:32:45-04:00
            [end_at] => 2025-09-13T00:32:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00431
            [max_drawdown] => 0.00337
            [rr_ratio] => 1.28
            [high] => 0.13251000
            [low] => 0.12483000
            [mfe_pct] => 3.36
            [mae_pct] => 2.63
            [mfe_mae_ratio] => 1.28
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T22:32:45-04:00
            [end_at] => 2025-09-13T05:32:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13849000
            [high_after] => 0.13091000
            [low_before] => 0.12793000
            [low_after] => 0.12483000
            [is_new_high] => 
            [is_new_low] => 
        )

)