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Short Trade on XLM

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Short Trade on XLM 12 Jan 2026 at 21:03:59

Take profit at 0.219 (0.59 %) and Stop Loss at 0.2209 (0.27 %)

Short Trade on XLM

The 12 Jan 2026 at 21:03:59

With 13197.3966 XLM at 0.2203$ per unit.

Position size of 2906.8586 $

Take profit at 0.219 (0.59 %) and Stop Loss at 0.2209 (0.27 %)

That's a 2.17 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.08
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.7
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 : 0.827718

15m : 0.131798

1H : 0.223426

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0004041201088
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.220022
  4. ema21 : 0.220996
  5. ema50 : 0.223094
  6. ema100 : 0.225124
  7. price_ema9_diff : 0.0010788
  8. ema9_ema21_diff : -0.00440544
  9. ema21_ema50_diff : -0.00940643
  10. price_ema100_diff : -0.0216086
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0144295
  14. ema_slope_21 : -0.0570497
  15. ema_slope_50 : -0.0600533
  16. ema_slope_100 : -0.0457784
  17. rsi : 0.451495
  18. adx : 0.220444
  19. kc_percentage : 0.421375
  20. kc_width_percentage : 0.0374295
  21. volume_ema_diff : -0.526784
  22. volume_ema1 : 108277.58236451
  23. volume_ema2 : 228812.17890705
  24. chop : 54.5786
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.219572
  28. ema21 : 0.219721
  29. ema50 : 0.220396
  30. ema100 : 0.221688
  31. price_ema9_diff : 0.003129
  32. ema9_ema21_diff : -0.000675548
  33. ema21_ema50_diff : -0.00306215
  34. price_ema100_diff : -0.00644165
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00234699
  38. ema_slope_21 : -0.019323
  39. ema_slope_50 : -0.0220389
  40. ema_slope_100 : -0.0228992
  41. rsi : 0.531379
  42. adx : 0.199217
  43. kc_percentage : 0.665645
  44. kc_width_percentage : 0.0153344
  45. volume_ema_diff : -0.618095
  46. volume_ema1 : 20059.682619884
  47. volume_ema2 : 52525.348608346
  48. chop : 76.3365
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.219522
  52. ema21 : 0.219455
  53. ema50 : 0.219571
  54. ema100 : 0.21993
  55. price_ema9_diff : 0.00336074
  56. ema9_ema21_diff : 0.000303442
  57. ema21_ema50_diff : -0.000525369
  58. price_ema100_diff : 0.00149602
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.00423602
  62. ema_slope_21 : 0.00393048
  63. ema_slope_50 : -0.00140294
  64. ema_slope_100 : -0.00425862
  65. rsi : 0.623979
  66. adx : 0.140316
  67. kc_percentage : 1.00668
  68. kc_width_percentage : 0.00718885
  69. volume_ema_diff : -0.378267
  70. volume_ema1 : 7360.7585835695
  71. volume_ema2 : 11839.102278312
  72. chop : 52.1442
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    91343
  77. 5m_price_ema100_diff: 
    -0.00121755
  78. 5m_price: 
    91231.8
  79. 5m_correlation_with_coin: 
    0.827718
  80. btc_indicators
  81. 15m_ema100: 
    91351.2
  82. 15m_price_ema100_diff: 
    -0.00130778
  83. 15m_price: 
    91231.8
  84. 15m_correlation_with_coin: 
    0.131798
  85. btc_indicators
  86. 1H_ema100: 
    91005.9
  87. 1H_price_ema100_diff: 
    0.00248119
  88. 1H_price: 
    91231.8
  89. 1H_correlation_with_coin: 
    0.223426
    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] => 0.22092
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.076950932464242
            [ms_dist_from_last_low_pct] => 1.0389967045038
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 1.1168070303918
            [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] => 0.22092
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.076950932464242
            [ms_dist_from_last_low_pct] => 1.0389967045038
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 1.1168070303918
            [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 21:00:00
                    [1] => 0.22092
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.076950932464242
            [ms_dist_from_last_low_pct] => 0.89583618995383
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 0.97353626765391
            [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
-0.08%
Dist From Last Low Pct
0.90%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
0.97%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.01%
TP to Pivot Distance
0.0005
0.24%
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 21:00:00 0.22092 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.08%
Dist From Last Low Pct
1.04%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
1.12%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0036
1.62%
TP to Pivot Distance
0.0028
1.29%
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 0.22092 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.08%
Dist From Last Low Pct
1.04%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
1.12%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0083
3.75%
TP to Pivot Distance
0.0028
1.29%
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 0.22092 ↑ High

📌 Time Data

Start at Closed at Duration
12 Jan 2026
21:03:59		 12 Jan 2026
21:05:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2203 0.2209 0.219 2.17 0.1554
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 0.2203
  • Stop Loss: 0.2209
  • Take Profit: 0.219

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2209 - 0.2203 = 0.00060000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2203 - 0.219 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.00060000000000002 = 2.1667

📌 Position Size

Amount Margin Quantity Leverage
2906.8586 100 13197.3966 29.07
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 0.00060000000000002

Taille de position = 8 / 0.00060000000000002 = 13333.33

Taille de position USD = 13333.33 x 0.2203 = 2937.33

Donc, tu peux acheter 13333.33 avec un stoploss a 0.2209

Avec un position size USD de 2937.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00060000000000002 = 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 0.0013 = 17.33

Si Take Profit atteint, tu gagneras 17.33$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 2937.33
  • Perte potentielle 8
  • Gain potentiel 17.33
  • Risk-Reward Ratio 2.1667

📌 Peformances

TP % Target TP $ Target
0.59 % 17.16 $
SL % Target SL $ Target
0.27 % 7.92 $
PNL PNL %
-7.92 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3631 % 133.3 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.219
            [entry_price] => 0.2203
            [stop_loss] => 0.22096
            [rr_ratio] => 1.97
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-01-12 21:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.219
            [entry_price] => 0.2203
            [stop_loss] => 0.22102
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-01-12 21:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.219
            [entry_price] => 0.2203
            [stop_loss] => 0.22108
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-01-12 21:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.219
            [entry_price] => 0.2203
            [stop_loss] => 0.2212
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-01-12 23:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00094
            [max_drawdown] => 0.0008
            [rr_ratio] => 1.18
            [high] => 0.22110000
            [low] => 0.21936000
            [mfe_pct] => 0.43
            [mae_pct] => 0.36
            [mfe_mae_ratio] => 1.18
            [candles_analyzed] => 24
            [start_at] => 2026-01-12T21:03:59-05:00
            [end_at] => 2026-01-12T23:03:59-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00094
            [max_drawdown] => 0.00422
            [rr_ratio] => 0.22
            [high] => 0.22452000
            [low] => 0.21936000
            [mfe_pct] => 0.43
            [mae_pct] => 1.92
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 84
            [start_at] => 2026-01-12T21:03:59-05:00
            [end_at] => 2026-01-13T04:03:59-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22092000
            [high_after] => 0.22452000
            [low_before] => 0.21848000
            [low_after] => 0.21936000
            [is_new_high] => 
            [is_new_low] => 
        )

)