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Short Trade on XLM

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Short Trade on XLM 30 Sep 2025 at 15:03:02

Take profit at 0.36 (0.85 %) and Stop Loss at 0.3646 (0.41 %)

Short Trade on XLM

The 30 Sep 2025 at 15:03:02

With 5177.3599 XLM at 0.3631$ per unit.

Position size of 1879.8476 $

Take profit at 0.36 (0.85 %) and Stop Loss at 0.3646 (0.41 %)

That's a 2.07 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.22
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.66
Prediction 3 Probability
1 0.7
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.598141

15m : 0.065614

1H : -0.104281

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.001030126052
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.362227
  4. ema21 : 0.364439
  5. ema50 : 0.36516
  6. ema100 : 0.36363
  7. price_ema9_diff : 0.00238191
  8. ema9_ema21_diff : -0.00607
  9. ema21_ema50_diff : -0.00197476
  10. price_ema100_diff : -0.00148758
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.163388
  14. ema_slope_21 : -0.111932
  15. ema_slope_50 : -0.0388473
  16. ema_slope_100 : -0.00708705
  17. rsi : 0.450569
  18. adx : 0.209464
  19. kc_percentage : 0.395467
  20. kc_width_percentage : 0.0322752
  21. volume_ema_diff : 0.173208
  22. volume_ema1 : 1202733.7334468
  23. volume_ema2 : 1025166.4153195
  24. chop : 39.832
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 0.360838
  28. ema21 : 0.361052
  29. ema50 : 0.363105
  30. ema100 : 0.365391
  31. price_ema9_diff : 0.00623951
  32. ema9_ema21_diff : -0.000592461
  33. ema21_ema50_diff : -0.00565414
  34. price_ema100_diff : -0.00629748
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00546077
  38. ema_slope_21 : -0.0356472
  39. ema_slope_50 : -0.041919
  40. ema_slope_100 : -0.0328577
  41. rsi : 0.574054
  42. adx : 0.282208
  43. kc_percentage : 0.796266
  44. kc_width_percentage : 0.019498
  45. volume_ema_diff : 0.30799
  46. volume_ema1 : 409201.41105458
  47. volume_ema2 : 312847.29542637
  48. chop : 56.5412
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.361296
  52. ema21 : 0.360532
  53. ema50 : 0.360603
  54. ema100 : 0.361602
  55. price_ema9_diff : 0.00496296
  56. ema9_ema21_diff : 0.00212026
  57. ema21_ema50_diff : -0.000196057
  58. price_ema100_diff : 0.00411263
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0584
  62. ema_slope_21 : 0.0312615
  63. ema_slope_50 : 0.00598998
  64. ema_slope_100 : -0.00392767
  65. rsi : 0.656431
  66. adx : 0.238792
  67. kc_percentage : 1.111
  68. kc_width_percentage : 0.0113832
  69. volume_ema_diff : -0.335314
  70. volume_ema1 : 100931.3720703
  71. volume_ema2 : 151848.20317182
  72. chop : 37.9839
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113157
  77. 5m_price_ema100_diff: 
    0.00538124
  78. 5m_price: 
    113766
  79. 5m_correlation_with_coin: 
    0.598141
  80. btc_indicators
  81. 15m_ema100: 
    113525
  82. 15m_price_ema100_diff: 
    0.00211989
  83. 15m_price: 
    113766
  84. 15m_correlation_with_coin: 
    0.065614
  85. btc_indicators
  86. 1H_ema100: 
    111764
  87. 1H_price_ema100_diff: 
    0.0179117
  88. 1H_price: 
    113766
  89. 1H_correlation_with_coin: 
    -0.104281
    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] => 2025-09-27 18:00:00
                    [1] => 0.36277
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.35169
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-28 19:00:00
                    [1] => 0.36887
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-29 02:00:00
                    [1] => 0.36456
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-29 03:00:00
                    [1] => 0.37081
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.36314
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-29 11:00:00
                    [1] => 0.37686
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-29 15:00:00
                    [1] => 0.3682
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-29 19:00:00
                    [1] => 0.37674
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-30 12:00:00
                    [1] => 0.35769
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -3.5223230875405
            [ms_dist_from_last_low_pct] => 1.6159244038134
            [ms_bars_since_swing_high] => 20
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 5.3258408118762
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  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] => 2025-09-29 16:30:00
                    [1] => 0.37566
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-29 19:00:00
                    [1] => 0.37674
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-29 21:15:00
                    [1] => 0.37321
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 00:30:00
                    [1] => 0.3678
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 02:30:00
                    [1] => 0.37239
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 06:00:00
                    [1] => 0.3632
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 07:30:00
                    [1] => 0.36363
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 09:15:00
                    [1] => 0.36523
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 12:45:00
                    [1] => 0.35769
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.36347
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.6159244038134
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 1.6159244038134
            [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] => 2025-09-30 10:05:00
                    [1] => 0.36171
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-30 10:50:00
                    [1] => 0.36362
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-30 11:25:00
                    [1] => 0.35867
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-30 12:25:00
                    [1] => 0.36119
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-30 12:55:00
                    [1] => 0.35769
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-30 13:30:00
                    [1] => 0.35809
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 13:40:00
                    [1] => 0.36032
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.3578
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:20:00
                    [1] => 0.36303
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.36347
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.5846841811068
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 0.12120210450927
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
1.58%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
0.12%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0010
0.27%
TP to Pivot Distance
0.0023
0.64%
DateTime Price Type
2025-09-30 10:05:00 0.36171 ↓ Low
2025-09-30 10:50:00 0.36362 ↑ High
2025-09-30 11:25:00 0.35867 ↓ Low
2025-09-30 12:25:00 0.36119 ↑ High
2025-09-30 12:55:00 0.35769 ↓ Low
2025-09-30 13:30:00 0.35809 ↓ Low
2025-09-30 13:40:00 0.36032 ↑ High
2025-09-30 14:00:00 0.3578 ↓ Low
2025-09-30 14:20:00 0.36303 ↑ High
2025-09-30 15:00:00 0.36347 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
1.62%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
1.62%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0121
3.33%
TP to Pivot Distance
0.0023
0.64%
DateTime Price Type
2025-09-29 16:30:00 0.37566 ↑ High
2025-09-29 19:00:00 0.37674 ↑ High
2025-09-29 21:15:00 0.37321 ↑ High
2025-09-30 00:30:00 0.3678 ↓ Low
2025-09-30 02:30:00 0.37239 ↑ High
2025-09-30 06:00:00 0.3632 ↓ Low
2025-09-30 07:30:00 0.36363 ↓ Low
2025-09-30 09:15:00 0.36523 ↑ High
2025-09-30 12:45:00 0.35769 ↓ Low
2025-09-30 15:00:00 0.36347 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-3.52%
Dist From Last Low Pct
1.62%
Bars Since Swing High
20 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
5.33%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0123
3.36%
TP to Pivot Distance
0.0083
2.31%
DateTime Price Type
2025-09-27 18:00:00 0.36277 ↑ High
2025-09-28 08:00:00 0.35169 ↓ Low
2025-09-28 19:00:00 0.36887 ↑ High
2025-09-29 02:00:00 0.36456 ↓ Low
2025-09-29 03:00:00 0.37081 ↑ High
2025-09-29 09:00:00 0.36314 ↓ Low
2025-09-29 11:00:00 0.37686 ↑ High
2025-09-29 15:00:00 0.3682 ↓ Low
2025-09-29 19:00:00 0.37674 ↑ High
2025-09-30 12:00:00 0.35769 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:03:02		 30 Sep 2025
15:30:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3631 0.3646 0.36 2.07 0.1549
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 0.3631
  • Stop Loss: 0.3646
  • Take Profit: 0.36

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3646 - 0.3631 = 0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3631 - 0.36 = 0.0031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0031 / 0.0015 = 2.0667

📌 Position Size

Amount Margin Quantity Leverage
1879.8476 100 5177.3599 18.80
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 0.0015

Taille de position = 8 / 0.0015 = 5333.33

Taille de position USD = 5333.33 x 0.3631 = 1936.53

Donc, tu peux acheter 5333.33 avec un stoploss a 0.3646

Avec un position size USD de 1936.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.0031 = 16.53

Si Take Profit atteint, tu gagneras 16.53$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 1936.53
  • Perte potentielle 8
  • Gain potentiel 16.53
  • Risk-Reward Ratio 2.0667

📌 Peformances

TP % Target TP $ Target
0.85 % 16.05 $
SL % Target SL $ Target
0.41 % 7.77 $
PNL PNL %
-7.77 $ -0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6307 % 152.67 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.36
            [entry_price] => 0.3631
            [stop_loss] => 0.36475
            [rr_ratio] => 1.88
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.36
            [entry_price] => 0.3631
            [stop_loss] => 0.3649
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.36
            [entry_price] => 0.3631
            [stop_loss] => 0.36505
            [rr_ratio] => 1.59
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.36
            [entry_price] => 0.3631
            [stop_loss] => 0.36535
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00062999999999996
            [max_drawdown] => 0.0065
            [rr_ratio] => 0.1
            [high] => 0.36960000
            [low] => 0.36247000
            [mfe_pct] => 0.17
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:03:02-04:00
            [end_at] => 2025-09-30T17:03:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00152
            [max_drawdown] => 0.0066
            [rr_ratio] => 0.23
            [high] => 0.36970000
            [low] => 0.36158000
            [mfe_pct] => 0.42
            [mae_pct] => 1.82
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:03:02-04:00
            [end_at] => 2025-09-30T22:03:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.36347000
            [high_after] => 0.36970000
            [low_before] => 0.35769000
            [low_after] => 0.36158000
            [is_new_high] => 
            [is_new_low] => 
        )

)