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Short Trade on PLUME

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Short Trade on PLUME 16 Oct 2025 at 22:43:18

Take profit at 0.07371 (1.29 %) and Stop Loss at 0.07515 (0.64 %)

Short Trade on PLUME

The 16 Oct 2025 at 22:43:18

With 16666.1779 PLUME at 0.07467$ per unit.

Position size of 1244.4635 $

Take profit at 0.07371 (1.29 %) and Stop Loss at 0.07515 (0.64 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 5.16
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
1 0.66
Prediction 3 Probability
0 0.6
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.721938

15m : -0.040245

1H : -0.098866

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0003200093841
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.0748812
  4. ema21 : 0.076578
  5. ema50 : 0.0788621
  6. ema100 : 0.0806287
  7. price_ema9_diff : -0.00282099
  8. ema9_ema21_diff : -0.0221582
  9. ema21_ema50_diff : -0.0289634
  10. price_ema100_diff : -0.0739031
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.534928
  14. ema_slope_21 : -0.374532
  15. ema_slope_50 : -0.236396
  16. ema_slope_100 : -0.149006
  17. rsi : 0.374179
  18. adx : 0.48144
  19. kc_percentage : 0.202081
  20. kc_width_percentage : 0.0805483
  21. volume_ema_diff : -0.502668
  22. volume_ema1 : 131599.60153045
  23. volume_ema2 : 264611.3390992
  24. chop : 40.351
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0738764
  28. ema21 : 0.0741433
  29. ema50 : 0.0754229
  30. ema100 : 0.0768257
  31. price_ema9_diff : 0.010742
  32. ema9_ema21_diff : -0.00360071
  33. ema21_ema50_diff : -0.0169652
  34. price_ema100_diff : -0.0280602
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00485961
  38. ema_slope_21 : -0.0641132
  39. ema_slope_50 : -0.104628
  40. ema_slope_100 : -0.086281
  41. rsi : 0.426224
  42. adx : 0.368621
  43. kc_percentage : 0.753768
  44. kc_width_percentage : 0.0297506
  45. volume_ema_diff : -0.732203
  46. volume_ema1 : 15259.296444741
  47. volume_ema2 : 56981.042923032
  48. chop : 67.8501
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0740732
  52. ema21 : 0.0739871
  53. ema50 : 0.0740353
  54. ema100 : 0.0744456
  55. price_ema9_diff : 0.00805611
  56. ema9_ema21_diff : 0.00116353
  57. ema21_ema50_diff : -0.000650706
  58. price_ema100_diff : 0.00301321
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0102683
  62. ema_slope_21 : 0.00682078
  63. ema_slope_50 : -0.00294333
  64. ema_slope_100 : -0.0139422
  65. rsi : 0.635581
  66. adx : 0.128658
  67. kc_percentage : 1.02557
  68. kc_width_percentage : 0.0172949
  69. volume_ema_diff : -0.574424
  70. volume_ema1 : 4258.4861602213
  71. volume_ema2 : 10006.414993556
  72. chop : 51.6439
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108269
  77. 5m_price_ema100_diff: 
    0.00301656
  78. 5m_price: 
    108596
  79. 5m_correlation_with_coin: 
    0.721938
  80. btc_indicators
  81. 15m_ema100: 
    109437
  82. 15m_price_ema100_diff: 
    -0.00850239
  83. 15m_price: 
    108507
  84. 15m_correlation_with_coin: 
    -0.040245
  85. btc_indicators
  86. 1H_ema100: 
    111666
  87. 1H_price_ema100_diff: 
    -0.0274952
  88. 1H_price: 
    108596
  89. 1H_correlation_with_coin: 
    -0.098866
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-13 04:00:00
                    [1] => 0.07766
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-13 16:00:00
                    [1] => 0.08888
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-14 06:00:00
                    [1] => 0.0782
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-14 12:00:00
                    [1] => 0.08579
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-15 02:00:00
                    [1] => 0.08228
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 0.0864
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 0.0776
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.0771
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.08165
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.0729
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -8.5609308022045
            [ms_dist_from_last_low_pct] => 2.4142661179698
            [ms_bars_since_swing_high] => 14
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 12.002743484225
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-16 06:15:00
                    [1] => 0.0813
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.08165
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 10:30:00
                    [1] => 0.08069
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 12:00:00
                    [1] => 0.0754
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 12:45:00
                    [1] => 0.07887
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.0736
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 18:00:00
                    [1] => 0.07473
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.0729
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 21:00:00
                    [1] => 0.07478
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 22:30:00
                    [1] => 0.07467
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.013392259274134
            [ms_dist_from_last_low_pct] => 2.4142661179698
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 14
            [ms_last_swing_amplitude_pct] => 0.14731485201553
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.0729
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 19:25:00
                    [1] => 0.07384
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 19:35:00
                    [1] => 0.0732
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 20:00:00
                    [1] => 0.07399
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 20:50:00
                    [1] => 0.07336
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 21:05:00
                    [1] => 0.07478
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 21:40:00
                    [1] => 0.07354
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 22:00:00
                    [1] => 0.07432
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 22:25:00
                    [1] => 0.07359
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 22:40:00
                    [1] => 0.07467
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.013392259274134
            [ms_dist_from_last_low_pct] => 1.4540019024324
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 1.4675907052589
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.01%
Dist From Last Low Pct
1.45%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
1.47%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0004
0.49%
TP to Pivot Distance
0.0008
1.10%
DateTime Price Type
2025-10-16 19:00:00 0.0729 ↓ Low
2025-10-16 19:25:00 0.07384 ↑ High
2025-10-16 19:35:00 0.0732 ↓ Low
2025-10-16 20:00:00 0.07399 ↑ High
2025-10-16 20:50:00 0.07336 ↓ Low
2025-10-16 21:05:00 0.07478 ↑ High
2025-10-16 21:40:00 0.07354 ↓ Low
2025-10-16 22:00:00 0.07432 ↑ High
2025-10-16 22:25:00 0.07359 ↓ Low
2025-10-16 22:40:00 0.07467 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.01%
Dist From Last Low Pct
2.41%
Bars Since Swing High
0 bars
Bars Since Swing Low
14 bars
Last Swing Amplitude Pct
0.15%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0065
8.65%
TP to Pivot Distance
0.0008
1.10%
DateTime Price Type
2025-10-16 06:15:00 0.0813 ↑ High
2025-10-16 08:00:00 0.08165 ↑ High
2025-10-16 10:30:00 0.08069 ↑ High
2025-10-16 12:00:00 0.0754 ↓ Low
2025-10-16 12:45:00 0.07887 ↑ High
2025-10-16 16:30:00 0.0736 ↓ Low
2025-10-16 18:00:00 0.07473 ↑ High
2025-10-16 19:00:00 0.0729 ↓ Low
2025-10-16 21:00:00 0.07478 ↑ High
2025-10-16 22:30:00 0.07467 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-8.56%
Dist From Last Low Pct
2.41%
Bars Since Swing High
14 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
12.00%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0137
18.27%
TP to Pivot Distance
0.0008
1.10%
DateTime Price Type
2025-10-13 04:00:00 0.07766 ↓ Low
2025-10-13 16:00:00 0.08888 ↑ High
2025-10-14 06:00:00 0.0782 ↓ Low
2025-10-14 12:00:00 0.08579 ↑ High
2025-10-15 02:00:00 0.08228 ↓ Low
2025-10-15 04:00:00 0.0864 ↑ High
2025-10-15 16:00:00 0.0776 ↓ Low
2025-10-16 05:00:00 0.0771 ↓ Low
2025-10-16 08:00:00 0.08165 ↑ High
2025-10-16 19:00:00 0.0729 ↓ Low

📌 Time Data

Start at Closed at Duration
16 Oct 2025
22:43:18		 16 Oct 2025
23:00:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07467 0.07515 0.07371 2 0.00919
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 0.07467
  • Stop Loss: 0.07515
  • Take Profit: 0.07371

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07515 - 0.07467 = 0.00047999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07467 - 0.07371 = 0.00096

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00096 / 0.00047999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1244.4635 100 16666.1779 12.44
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 0.00047999999999999

Taille de position = 8 / 0.00047999999999999 = 16666.67

Taille de position USD = 16666.67 x 0.07467 = 1244.5

Donc, tu peux acheter 16666.67 avec un stoploss a 0.07515

Avec un position size USD de 1244.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16666.67 x 0.00047999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16666.67 x 0.00096 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 16666.67
  • Taille de position USD 1244.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.29 % 16 $
SL % Target SL $ Target
0.64 % 8 $
PNL PNL %
-8 $ -0.64
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.683 % 106.25 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07371
            [entry_price] => 0.07467
            [stop_loss] => 0.075198
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 23:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07371
            [entry_price] => 0.07467
            [stop_loss] => 0.075246
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 23:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07371
            [entry_price] => 0.07467
            [stop_loss] => 0.075294
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 23:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07371
            [entry_price] => 0.07467
            [stop_loss] => 0.07539
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 23:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00011
            [max_drawdown] => 0.00111
            [rr_ratio] => 0.1
            [high] => 0.07578000
            [low] => 0.07456000
            [mfe_pct] => 0.15
            [mae_pct] => 1.49
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T22:43:18-04:00
            [end_at] => 2025-10-17T00:43:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00597
            [max_drawdown] => 0.00111
            [rr_ratio] => 5.38
            [high] => 0.07578000
            [low] => 0.06870000
            [mfe_pct] => 8
            [mae_pct] => 1.49
            [mfe_mae_ratio] => 5.38
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T22:43:18-04:00
            [end_at] => 2025-10-17T05:43:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07478000
            [high_after] => 0.07578000
            [low_before] => 0.07290000
            [low_after] => 0.06870000
            [is_new_high] => 
            [is_new_low] => 1
        )

)