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Short Trade on XLM

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Short Trade on XLM 29 Oct 2025 at 03:40:21

Take profit at 0.3191 (0.41 %) and Stop Loss at 0.3211 (0.22 %)

Short Trade on XLM

The 29 Oct 2025 at 03:40:21

With 11862.1136 XLM at 0.3204$ per unit.

Position size of 3801.0957 $

Take profit at 0.3191 (0.41 %) and Stop Loss at 0.3211 (0.22 %)

That's a 1.86 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 0.91
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
1 0.43
Prediction 3 Probability
0 0.56
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : bull_low
BTC Correlation Score

5m : -0.069125

15m : 0.027644

1H : -0.147305

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.26
  4. atr: 0.0004496107128
Details
  1. score: 1.26
  2. 1H
  3. ema9 : 0.318798
  4. ema21 : 0.320971
  5. ema50 : 0.323628
  6. ema100 : 0.324377
  7. price_ema9_diff : 0.00514931
  8. ema9_ema21_diff : -0.00677014
  9. ema21_ema50_diff : -0.0082088
  10. price_ema100_diff : -0.0121392
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.207665
  14. ema_slope_21 : -0.165724
  15. ema_slope_50 : -0.0910609
  16. ema_slope_100 : -0.0456409
  17. rsi : 0.469113
  18. adx : 0.297371
  19. kc_percentage : 0.468921
  20. kc_width_percentage : 0.0369172
  21. volume_ema_diff : -0.647663
  22. volume_ema1 : 170590.42221943
  23. volume_ema2 : 484169.15980995
  24. chop : 47.6729
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.31888
  28. ema21 : 0.318214
  29. ema50 : 0.319453
  30. ema100 : 0.322987
  31. price_ema9_diff : 0.00489123
  32. ema9_ema21_diff : 0.00209109
  33. ema21_ema50_diff : -0.00387885
  34. price_ema100_diff : -0.0078882
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0451814
  38. ema_slope_21 : 0.0162321
  39. ema_slope_50 : -0.018722
  40. ema_slope_100 : -0.0332985
  41. rsi : 0.686023
  42. adx : 0.217361
  43. kc_percentage : 1.09975
  44. kc_width_percentage : 0.0115168
  45. volume_ema_diff : -0.633723
  46. volume_ema1 : 34714.59718758
  47. volume_ema2 : 94777.092540445
  48. chop : 50.025
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 0.319929
  52. ema21 : 0.319053
  53. ema50 : 0.31824
  54. ema100 : 0.317865
  55. price_ema9_diff : 0.00159707
  56. ema9_ema21_diff : 0.00274439
  57. ema21_ema50_diff : 0.00255386
  58. price_ema100_diff : 0.00810023
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0646611
  62. ema_slope_21 : 0.0432556
  63. ema_slope_50 : 0.023144
  64. ema_slope_100 : 0.0124486
  65. rsi : 0.740923
  66. adx : 0.33157
  67. kc_percentage : 1.25681
  68. kc_width_percentage : 0.00549983
  69. volume_ema_diff : 0.0790076
  70. volume_ema1 : 15480.466796399
  71. volume_ema2 : 14346.947503535
  72. chop : 24.3345
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112865
  77. 5m_price_ema100_diff: 
    0.00378264
  78. 5m_price: 
    113292
  79. 5m_correlation_with_coin: 
    -0.069125
  80. btc_indicators
  81. 15m_ema100: 
    113460
  82. 15m_price_ema100_diff: 
    -0.00112686
  83. 15m_price: 
    113332
  84. 15m_correlation_with_coin: 
    0.027644
  85. btc_indicators
  86. 1H_ema100: 
    113375
  87. 1H_price_ema100_diff: 
    -0.000731735
  88. 1H_price: 
    113292
  89. 1H_correlation_with_coin: 
    -0.147305
    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 00:00:00
                    [1] => 0.32224
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-26 09:00:00
                    [1] => 0.33248
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-26 17:00:00
                    [1] => 0.32513
                    [2] => L
                )

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

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

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

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

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

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

            [9] => Array
                (
                    [0] => 2025-10-29 03:00:00
                    [1] => 0.32069
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.2619352022202
            [ms_dist_from_last_low_pct] => 2.0515602067513
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 2.3195711824389
            [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] => 2025-10-28 10:45:00
                    [1] => 0.32178
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-28 12:15:00
                    [1] => 0.32373
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-28 14:15:00
                    [1] => 0.32893
                    [2] => H
                )

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

            [4] => Array
                (
                    [0] => 2025-10-28 18:45:00
                    [1] => 0.31977
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-28 20:45:00
                    [1] => 0.31635
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-28 21:30:00
                    [1] => 0.31893
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-28 23:30:00
                    [1] => 0.31613
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-29 02:00:00
                    [1] => 0.31667
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-29 03:30:00
                    [1] => 0.32069
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.2619352022202
            [ms_dist_from_last_low_pct] => 1.0041999557899
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 1.2694603214703
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [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] => 2025-10-28 21:40:00
                    [1] => 0.31893
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-28 22:45:00
                    [1] => 0.31858
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-28 23:05:00
                    [1] => 0.31643
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-28 23:35:00
                    [1] => 0.31613
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 00:30:00
                    [1] => 0.31783
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-29 01:05:00
                    [1] => 0.31785
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-29 01:10:00
                    [1] => 0.31682
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 01:35:00
                    [1] => 0.31806
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-29 02:00:00
                    [1] => 0.31667
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-29 03:35:00
                    [1] => 0.32069
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.2619352022202
            [ms_dist_from_last_low_pct] => 1.0041999557899
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 20
            [ms_last_swing_amplitude_pct] => 1.2694603214703
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

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
1.00%
Bars Since Swing High
1 bars
Bars Since Swing Low
20 bars
Last Swing Amplitude Pct
1.27%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0004
0.13%
TP to Pivot Distance
0.0030
0.93%
DateTime Price Type
2025-10-28 21:40:00 0.31893 ↑ High
2025-10-28 22:45:00 0.31858 ↑ High
2025-10-28 23:05:00 0.31643 ↓ Low
2025-10-28 23:35:00 0.31613 ↓ Low
2025-10-29 00:30:00 0.31783 ↑ High
2025-10-29 01:05:00 0.31785 ↑ High
2025-10-29 01:10:00 0.31682 ↓ Low
2025-10-29 01:35:00 0.31806 ↑ High
2025-10-29 02:00:00 0.31667 ↓ Low
2025-10-29 03:35:00 0.32069 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.26%
Dist From Last Low Pct
1.00%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
1.27%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0078
2.44%
TP to Pivot Distance
0.0057
1.78%
DateTime Price Type
2025-10-28 10:45:00 0.32178 ↓ Low
2025-10-28 12:15:00 0.32373 ↓ Low
2025-10-28 14:15:00 0.32893 ↑ High
2025-10-28 17:00:00 0.31342 ↓ Low
2025-10-28 18:45:00 0.31977 ↑ High
2025-10-28 20:45:00 0.31635 ↓ Low
2025-10-28 21:30:00 0.31893 ↑ High
2025-10-28 23:30:00 0.31613 ↓ Low
2025-10-29 02:00:00 0.31667 ↓ Low
2025-10-29 03:30:00 0.32069 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.26%
Dist From Last Low Pct
2.05%
Bars Since Swing High
0 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
2.32%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0168
5.22%
TP to Pivot Distance
0.0057
1.78%
DateTime Price Type
2025-10-26 00:00:00 0.32224 ↓ Low
2025-10-26 09:00:00 0.33248 ↑ High
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 03:00:00 0.32069 ↑ High

📌 Time Data

Start at Closed at Duration
29 Oct 2025
03:40:21		 29 Oct 2025
03:50:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3204 0.3211 0.3191 1.86 0.1484
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 0.3204
  • Stop Loss: 0.3211
  • Take Profit: 0.3191

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3211 - 0.3204 = 0.00069999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3204 - 0.3191 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.00069999999999998 = 1.8571

📌 Position Size

Amount Margin Quantity Leverage
3801.0957 100 11862.1136 38.01
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 0.00069999999999998

Taille de position = 8 / 0.00069999999999998 = 11428.57

Taille de position USD = 11428.57 x 0.3204 = 3661.71

Donc, tu peux acheter 11428.57 avec un stoploss a 0.3211

Avec un position size USD de 3661.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00069999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0013 = 14.86

Si Take Profit atteint, tu gagneras 14.86$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 3661.71
  • Perte potentielle 8
  • Gain potentiel 14.86
  • Risk-Reward Ratio 1.8571

📌 Peformances

TP % Target TP $ Target
0.41 % 15.42 $
SL % Target SL $ Target
0.22 % 8.3 $
PNL PNL %
-8.3 $ -0.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2591 % 118.58 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3191
            [entry_price] => 0.3204
            [stop_loss] => 0.32117
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-29 03:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3191
            [entry_price] => 0.3204
            [stop_loss] => 0.32124
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-29 04:05:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.3191
            [entry_price] => 0.3204
            [stop_loss] => 0.32131
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-29 04:05:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.3191
            [entry_price] => 0.3204
            [stop_loss] => 0.32145
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-29 04:05:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00214
            [max_drawdown] => 0.00286
            [rr_ratio] => 0.75
            [high] => 0.32326000
            [low] => 0.31826000
            [mfe_pct] => 0.67
            [mae_pct] => 0.89
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 24
            [start_at] => 2025-10-29T03:40:21-04:00
            [end_at] => 2025-10-29T05:40:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00214
            [max_drawdown] => 0.0042
            [rr_ratio] => 0.51
            [high] => 0.32460000
            [low] => 0.31826000
            [mfe_pct] => 0.67
            [mae_pct] => 1.31
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 84
            [start_at] => 2025-10-29T03:40:21-04:00
            [end_at] => 2025-10-29T10:40:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.32069000
            [high_after] => 0.32460000
            [low_before] => 0.31624000
            [low_after] => 0.31826000
            [is_new_high] => 
            [is_new_low] => 
        )

)