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Short Trade on XLM

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Short Trade on XLM 30 Oct 2025 at 02:47:19

Take profit at 0.313 (1.07 %) and Stop Loss at 0.3181 (0.54 %)

Short Trade on XLM

The 30 Oct 2025 at 02:47:19

With 4700.2549 XLM at 0.3164$ per unit.

Position size of 1487.3487 $

Take profit at 0.313 (1.07 %) and Stop Loss at 0.3181 (0.54 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 7.32
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.52
Prediction 2 Probability
1 0.48
Prediction 3 Probability
1 0.85
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.846273

15m : 0.124105

1H : 0.02761

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.001134690227
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.316013
  4. ema21 : 0.317759
  5. ema50 : 0.320337
  6. ema100 : 0.322218
  7. price_ema9_diff : 0.00134886
  8. ema9_ema21_diff : -0.00549433
  9. ema21_ema50_diff : -0.00804762
  10. price_ema100_diff : -0.017934
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.111793
  14. ema_slope_21 : -0.0776002
  15. ema_slope_50 : -0.057568
  16. ema_slope_100 : -0.0374446
  17. rsi : 0.467447
  18. adx : 0.365515
  19. kc_percentage : 0.431624
  20. kc_width_percentage : 0.0555429
  21. volume_ema_diff : -0.18894
  22. volume_ema1 : 438656.41141594
  23. volume_ema2 : 540843.64145057
  24. chop : 42.5958
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.314313
  28. ema21 : 0.314528
  29. ema50 : 0.316164
  30. ema100 : 0.317342
  31. price_ema9_diff : 0.0067641
  32. ema9_ema21_diff : -0.000683407
  33. ema21_ema50_diff : -0.00517252
  34. price_ema100_diff : -0.00284253
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0742266
  38. ema_slope_21 : -0.0762581
  39. ema_slope_50 : -0.0553312
  40. ema_slope_100 : -0.0337943
  41. rsi : 0.554535
  42. adx : 0.381544
  43. kc_percentage : 0.743205
  44. kc_width_percentage : 0.0256117
  45. volume_ema_diff : -0.421414
  46. volume_ema1 : 73125.42208047
  47. volume_ema2 : 126386.47453474
  48. chop : 34.4343
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.315049
  52. ema21 : 0.313969
  53. ema50 : 0.314045
  54. ema100 : 0.315126
  55. price_ema9_diff : 0.0044127
  56. ema9_ema21_diff : 0.00343963
  57. ema21_ema50_diff : -0.000240661
  58. price_ema100_diff : 0.00416702
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0922929
  62. ema_slope_21 : 0.0580204
  63. ema_slope_50 : 0.0131454
  64. ema_slope_100 : -0.00233861
  65. rsi : 0.662212
  66. adx : 0.247294
  67. kc_percentage : 1.06733
  68. kc_width_percentage : 0.013502
  69. volume_ema_diff : -0.167074
  70. volume_ema1 : 31539.992649176
  71. volume_ema2 : 37866.543444953
  72. chop : 48.6504
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110203
  77. 5m_price_ema100_diff: 
    0.00473841
  78. 5m_price: 
    110725
  79. 5m_correlation_with_coin: 
    0.846273
  80. btc_indicators
  81. 15m_ema100: 
    111200
  82. 15m_price_ema100_diff: 
    -0.00426815
  83. 15m_price: 
    110725
  84. 15m_correlation_with_coin: 
    0.124105
  85. btc_indicators
  86. 1H_ema100: 
    112583
  87. 1H_price_ema100_diff: 
    -0.0165033
  88. 1H_price: 
    110725
  89. 1H_correlation_with_coin: 
    0.02761
    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] => 2025-10-26 17:00:00
                    [1] => 0.32513
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-26 22:00:00
                    [1] => 0.33472
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-27 10:00:00
                    [1] => 0.32158
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-27 12:00:00
                    [1] => 0.32986
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-27 22:00:00
                    [1] => 0.32024
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-28 03:00:00
                    [1] => 0.33786
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 0.31342
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 09:00:00
                    [1] => 0.3246
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 0.31045
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 00:00:00
                    [1] => 0.30608
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -2.6524953789279
            [ms_dist_from_last_low_pct] => 3.2377156299007
            [ms_bars_since_swing_high] => 17
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 1.4277313120753
            [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] => 2025-10-29 05:30:00
                    [1] => 0.32326
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-29 07:00:00
                    [1] => 0.32019
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 09:15:00
                    [1] => 0.3246
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-29 12:00:00
                    [1] => 0.31563
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 14:30:00
                    [1] => 0.32419
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-29 16:30:00
                    [1] => 0.32274
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-29 20:00:00
                    [1] => 0.31337
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 22:45:00
                    [1] => 0.31836
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 00:15:00
                    [1] => 0.30608
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 02:30:00
                    [1] => 0.31682
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.26197841045388
            [ms_dist_from_last_low_pct] => 3.2377156299007
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 3.5088865656038
            [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] => 2025-10-29 20:05:00
                    [1] => 0.31337
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 20:40:00
                    [1] => 0.31488
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 20:50:00
                    [1] => 0.31774
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-29 22:05:00
                    [1] => 0.31585
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 22:55:00
                    [1] => 0.31836
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-29 23:05:00
                    [1] => 0.31686
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 00:25:00
                    [1] => 0.30608
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-30 01:25:00
                    [1] => 0.30873
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-30 02:15:00
                    [1] => 0.31347
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 02:40:00
                    [1] => 0.31682
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.26197841045388
            [ms_dist_from_last_low_pct] => 0.80390467987366
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 1.0686828085622
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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
-0.26%
Dist From Last Low Pct
0.80%
Bars Since Swing High
1 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
1.07%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0003
0.08%
TP to Pivot Distance
0.0069
2.21%
DateTime Price Type
2025-10-29 20:05:00 0.31337 ↓ Low
2025-10-29 20:40:00 0.31488 ↓ Low
2025-10-29 20:50:00 0.31774 ↑ High
2025-10-29 22:05:00 0.31585 ↓ Low
2025-10-29 22:55:00 0.31836 ↑ High
2025-10-29 23:05:00 0.31686 ↓ Low
2025-10-30 00:25:00 0.30608 ↓ Low
2025-10-30 01:25:00 0.30873 ↓ Low
2025-10-30 02:15:00 0.31347 ↓ Low
2025-10-30 02:40:00 0.31682 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.26%
Dist From Last Low Pct
3.24%
Bars Since Swing High
1 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
3.51%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0065
2.04%
TP to Pivot Distance
0.0069
2.21%
DateTime Price Type
2025-10-29 05:30:00 0.32326 ↑ High
2025-10-29 07:00:00 0.32019 ↓ Low
2025-10-29 09:15:00 0.3246 ↑ High
2025-10-29 12:00:00 0.31563 ↓ Low
2025-10-29 14:30:00 0.32419 ↑ High
2025-10-29 16:30:00 0.32274 ↑ High
2025-10-29 20:00:00 0.31337 ↓ Low
2025-10-29 22:45:00 0.31836 ↑ High
2025-10-30 00:15:00 0.30608 ↓ Low
2025-10-30 02:30:00 0.31682 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-2.65%
Dist From Last Low Pct
3.24%
Bars Since Swing High
17 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
1.43%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0198
6.21%
TP to Pivot Distance
0.0069
2.21%
DateTime Price Type
2025-10-26 17:00:00 0.32513 ↓ Low
2025-10-26 22:00:00 0.33472 ↑ High
2025-10-27 10:00:00 0.32158 ↓ Low
2025-10-27 12:00:00 0.32986 ↑ High
2025-10-27 22:00:00 0.32024 ↓ Low
2025-10-28 03:00:00 0.33786 ↑ High
2025-10-28 17:00:00 0.31342 ↓ Low
2025-10-29 09:00:00 0.3246 ↑ High
2025-10-29 14:00:00 0.31045 ↓ Low
2025-10-30 00:00:00 0.30608 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Oct 2025
02:47:19		 30 Oct 2025
05:15:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3164 0.3181 0.313 2 0.1585
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 0.3164
  • Stop Loss: 0.3181
  • Take Profit: 0.313

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3181 - 0.3164 = 0.0017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3164 - 0.313 = 0.0034

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0034 / 0.0017 = 2

📌 Position Size

Amount Margin Quantity Leverage
1487.3487 100 4700.2549 14.87
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 0.0017

Taille de position = 8 / 0.0017 = 4705.88

Taille de position USD = 4705.88 x 0.3164 = 1488.94

Donc, tu peux acheter 4705.88 avec un stoploss a 0.3181

Avec un position size USD de 1488.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4705.88 x 0.0017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4705.88 x 0.0034 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4705.88
  • Taille de position USD 1488.94
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.07 % 15.98 $
SL % Target SL $ Target
0.54 % 7.99 $
PNL PNL %
15.98 $ 1.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3793 % 70.59 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.313
            [stop_loss] => 0.3181
            [rr_ratio] => 2
            [closed_at] => 2025-10-30 05:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.31215
            [stop_loss] => 0.3181
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-30 05:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3113
            [stop_loss] => 0.3181
            [rr_ratio] => 3
            [closed_at] => 2025-10-30 06:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.31045
            [stop_loss] => 0.3181
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-30 06:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3096
            [stop_loss] => 0.3181
            [rr_ratio] => 4
            [closed_at] => 2025-10-30 07:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.30875
            [stop_loss] => 0.3181
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-30 08:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3079
            [stop_loss] => 0.3181
            [rr_ratio] => 5
            [closed_at] => 2025-10-30 08:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.30705
            [stop_loss] => 0.3181
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-30 08:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.3062
            [stop_loss] => 0.3181
            [rr_ratio] => 6
            [closed_at] => 2025-10-30 08:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.30535
            [stop_loss] => 0.3181
            [rr_ratio] => 6.5
            [closed_at] => 2025-10-30 08:25:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.3045
            [stop_loss] => 0.3181
            [rr_ratio] => 7
            [closed_at] => 2025-10-30 08:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00198
            [max_drawdown] => 0.0012
            [rr_ratio] => 1.65
            [high] => 0.31760000
            [low] => 0.31442000
            [mfe_pct] => 0.63
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 1.65
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T02:47:19-04:00
            [end_at] => 2025-10-30T04:47:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01772
            [max_drawdown] => 0.0012
            [rr_ratio] => 14.77
            [high] => 0.31760000
            [low] => 0.29868000
            [mfe_pct] => 5.6
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 14.77
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T02:47:19-04:00
            [end_at] => 2025-10-30T09:47:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31836000
            [high_after] => 0.31760000
            [low_before] => 0.30608000
            [low_after] => 0.30302000
            [is_new_high] => 
            [is_new_low] => 1
        )

)