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Short Trade on XLM

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Short Trade on XLM 12 Jan 2026 at 21:07:49

Take profit at 0.2193 (0.63 %) and Stop Loss at 0.2213 (0.27 %)

Short Trade on XLM

The 12 Jan 2026 at 21:07:49

With 11857.4937 XLM at 0.2207$ per unit.

Position size of 2616.4746 $

Take profit at 0.2193 (0.63 %) and Stop Loss at 0.2213 (0.27 %)

That's a 2.33 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.19
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.82
Prediction 3 Probability
0 0.86
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.827379

15m : 0.162152

1H : 0.030279

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0004497858867
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.220102
  4. ema21 : 0.221032
  5. ema50 : 0.22311
  6. ema100 : 0.225132
  7. price_ema9_diff : 0.00253228
  8. ema9_ema21_diff : -0.0042073
  9. ema21_ema50_diff : -0.00931309
  10. price_ema100_diff : -0.0198663
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0114047
  14. ema_slope_21 : -0.0556879
  15. ema_slope_50 : -0.0594716
  16. ema_slope_100 : -0.0454868
  17. rsi : 0.466867
  18. adx : 0.214415
  19. kc_percentage : 0.466617
  20. kc_width_percentage : 0.0388662
  21. volume_ema_diff : -0.48982
  22. volume_ema1 : 117275.31115451
  23. volume_ema2 : 229870.73523528
  24. chop : 54.6426
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.219652
  28. ema21 : 0.219757
  29. ema50 : 0.220411
  30. ema100 : 0.221695
  31. price_ema9_diff : 0.0045847
  32. ema9_ema21_diff : -0.00047687
  33. ema21_ema50_diff : -0.00296812
  34. price_ema100_diff : -0.00467287
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.000688342
  38. ema_slope_21 : -0.017947
  39. ema_slope_50 : -0.0214473
  40. ema_slope_100 : -0.0226022
  41. rsi : 0.556614
  42. adx : 0.209748
  43. kc_percentage : 0.74838
  44. kc_width_percentage : 0.0168112
  45. volume_ema_diff : -0.457721
  46. volume_ema1 : 29057.411409884
  47. volume_ema2 : 53583.904936582
  48. chop : 62.0681
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.219828
  52. ema21 : 0.219605
  53. ema50 : 0.219633
  54. ema100 : 0.219967
  55. price_ema9_diff : 0.00378389
  56. ema9_ema21_diff : 0.00101343
  57. ema21_ema50_diff : -0.000128315
  58. price_ema100_diff : 0.00314999
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0114498
  62. ema_slope_21 : 0.00742311
  63. ema_slope_50 : 0.000311124
  64. ema_slope_100 : -0.00343655
  65. rsi : 0.654263
  66. adx : 0.168599
  67. kc_percentage : 1.06976
  68. kc_width_percentage : 0.00831629
  69. volume_ema_diff : -0.0284721
  70. volume_ema1 : 11851.475225713
  71. volume_ema2 : 12198.801830963
  72. chop : 35.6102
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    91351.6
  77. 5m_price_ema100_diff: 
    -0.000913687
  78. 5m_price: 
    91268.2
  79. 5m_correlation_with_coin: 
    0.827379
  80. btc_indicators
  81. 15m_ema100: 
    91351.9
  82. 15m_price_ema100_diff: 
    -0.000917202
  83. 15m_price: 
    91268.2
  84. 15m_correlation_with_coin: 
    0.162152
  85. btc_indicators
  86. 1H_ema100: 
    91006.7
  87. 1H_price_ema100_diff: 
    0.00287322
  88. 1H_price: 
    91268.2
  89. 1H_correlation_with_coin: 
    0.030279
    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] => 2026-01-10 18:00:00
                    [1] => 0.22534
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2026-01-11 03:00:00
                    [1] => 0.22866
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2026-01-11 09:00:00
                    [1] => 0.22919
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2026-01-11 18:00:00
                    [1] => 0.22131
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2026-01-11 22:00:00
                    [1] => 0.22864
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2026-01-12 09:00:00
                    [1] => 0.21617
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2026-01-12 11:00:00
                    [1] => 0.22448
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2026-01-12 16:00:00
                    [1] => 0.21848
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2026-01-12 18:00:00
                    [1] => 0.21848
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2026-01-12 21:00:00
                    [1] => 0.2211
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.2035278154681
            [ms_dist_from_last_low_pct] => 0.99322592456976
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 1.1991944342732
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2026-01-12 04:15:00
                    [1] => 0.21871
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2026-01-12 05:45:00
                    [1] => 0.21838
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2026-01-12 09:15:00
                    [1] => 0.21617
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2026-01-12 11:30:00
                    [1] => 0.22448
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2026-01-12 12:30:00
                    [1] => 0.21971
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2026-01-12 14:00:00
                    [1] => 0.21989
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2026-01-12 15:00:00
                    [1] => 0.2225
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2026-01-12 16:45:00
                    [1] => 0.21848
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2026-01-12 18:00:00
                    [1] => 0.21848
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2026-01-12 21:00:00
                    [1] => 0.2211
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.2035278154681
            [ms_dist_from_last_low_pct] => 0.99322592456976
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 1.1991944342732
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2026-01-12 16:10:00
                    [1] => 0.22078
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2026-01-12 16:50:00
                    [1] => 0.21848
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2026-01-12 17:10:00
                    [1] => 0.22037
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2026-01-12 18:10:00
                    [1] => 0.21848
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2026-01-12 18:25:00
                    [1] => 0.22006
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2026-01-12 19:35:00
                    [1] => 0.21988
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2026-01-12 19:40:00
                    [1] => 0.21877
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2026-01-12 20:15:00
                    [1] => 0.2202
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2026-01-12 20:40:00
                    [1] => 0.21879
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2026-01-12 21:05:00
                    [1] => 0.2211
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.2035278154681
            [ms_dist_from_last_low_pct] => 0.85013026189497
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 1.0558069381599
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.20%
Dist From Last Low Pct
0.85%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
1.06%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0002
0.09%
TP to Pivot Distance
0.0008
0.37%
DateTime Price Type
2026-01-12 16:10:00 0.22078 ↑ High
2026-01-12 16:50:00 0.21848 ↓ Low
2026-01-12 17:10:00 0.22037 ↑ High
2026-01-12 18:10:00 0.21848 ↓ Low
2026-01-12 18:25:00 0.22006 ↑ High
2026-01-12 19:35:00 0.21988 ↑ High
2026-01-12 19:40:00 0.21877 ↓ Low
2026-01-12 20:15:00 0.2202 ↑ High
2026-01-12 20:40:00 0.21879 ↓ Low
2026-01-12 21:05:00 0.2211 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.20%
Dist From Last Low Pct
0.99%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
1.20%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0032
1.44%
TP to Pivot Distance
0.0031
1.43%
DateTime Price Type
2026-01-12 04:15:00 0.21871 ↓ Low
2026-01-12 05:45:00 0.21838 ↓ Low
2026-01-12 09:15:00 0.21617 ↓ Low
2026-01-12 11:30:00 0.22448 ↑ High
2026-01-12 12:30:00 0.21971 ↓ Low
2026-01-12 14:00:00 0.21989 ↓ Low
2026-01-12 15:00:00 0.2225 ↑ High
2026-01-12 16:45:00 0.21848 ↓ Low
2026-01-12 18:00:00 0.21848 ↓ Low
2026-01-12 21:00:00 0.2211 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.20%
Dist From Last Low Pct
0.99%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
1.20%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0079
3.57%
TP to Pivot Distance
0.0031
1.43%
DateTime Price Type
2026-01-10 18:00:00 0.22534 ↓ Low
2026-01-11 03:00:00 0.22866 ↑ High
2026-01-11 09:00:00 0.22919 ↑ High
2026-01-11 18:00:00 0.22131 ↓ Low
2026-01-11 22:00:00 0.22864 ↑ High
2026-01-12 09:00:00 0.21617 ↓ Low
2026-01-12 11:00:00 0.22448 ↑ High
2026-01-12 16:00:00 0.21848 ↓ Low
2026-01-12 18:00:00 0.21848 ↓ Low
2026-01-12 21:00:00 0.2211 ↑ High

📌 Time Data

Start at Closed at Duration
12 Jan 2026
21:07:49		 12 Jan 2026
23:20:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2207 0.2213 0.2193 2.33 0.1513
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 0.2207
  • Stop Loss: 0.2213
  • Take Profit: 0.2193

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2213 - 0.2207 = 0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2207 - 0.2193 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00059999999999999 = 2.3333

📌 Position Size

Amount Margin Quantity Leverage
2616.4746 100 11857.4937 26.16
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 0.00059999999999999

Taille de position = 8 / 0.00059999999999999 = 13333.33

Taille de position USD = 13333.33 x 0.2207 = 2942.67

Donc, tu peux acheter 13333.33 avec un stoploss a 0.2213

Avec un position size USD de 2942.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00059999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13333.33 x 0.0014 = 18.67

Si Take Profit atteint, tu gagneras 18.67$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 2942.67
  • Perte potentielle 8
  • Gain potentiel 18.67
  • Risk-Reward Ratio 2.3333

📌 Peformances

TP % Target TP $ Target
0.63 % 16.6 $
SL % Target SL $ Target
0.27 % 7.11 $
PNL PNL %
-7.11 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3262 % 119.97 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2193
            [entry_price] => 0.2207
            [stop_loss] => 0.22136
            [rr_ratio] => 2.12
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-01-12 23:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2193
            [entry_price] => 0.2207
            [stop_loss] => 0.22142
            [rr_ratio] => 1.94
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-01-12 23:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2193
            [entry_price] => 0.2207
            [stop_loss] => 0.22148
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-01-12 23:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2193
            [entry_price] => 0.2207
            [stop_loss] => 0.2216
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-01-12 23:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00134
            [max_drawdown] => 0.00036
            [rr_ratio] => 3.72
            [high] => 0.22106000
            [low] => 0.21936000
            [mfe_pct] => 0.61
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 3.72
            [candles_analyzed] => 24
            [start_at] => 2026-01-12T21:07:49-05:00
            [end_at] => 2026-01-12T23:07:49-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00134
            [max_drawdown] => 0.00382
            [rr_ratio] => 0.35
            [high] => 0.22452000
            [low] => 0.21936000
            [mfe_pct] => 0.61
            [mae_pct] => 1.73
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 84
            [start_at] => 2026-01-12T21:07:49-05:00
            [end_at] => 2026-01-13T04:07:49-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22110000
            [high_after] => 0.22452000
            [low_before] => 0.21848000
            [low_after] => 0.21936000
            [is_new_high] => 
            [is_new_low] => 
        )

)