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Long Trade on XLM

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Long Trade on XLM 28 Oct 2025 at 07:49:19

Take profit at 0.3322 (0.91 %) and Stop Loss at 0.3277 (0.46 %)

Long Trade on XLM

The 28 Oct 2025 at 07:49:19

With 5288.8221 XLM at 0.3292$ per unit.

Position size of 1740.9216 $

Take profit at 0.3322 (0.91 %) and Stop Loss at 0.3277 (0.46 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -90
ML Pullback Score: 1.67
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.47
Prediction 3 Probability
1 0.56
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.540676

15m : -0.154371

1H : -0.094599

 1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.00100841609
Details
  1. score: 2.15
  2. 1H
  3. ema9 : 0.329878
  4. ema21 : 0.328139
  5. ema50 : 0.327039
  6. ema100 : 0.324967
  7. price_ema9_diff : -0.00214871
  8. ema9_ema21_diff : 0.00530042
  9. ema21_ema50_diff : 0.00336503
  10. price_ema100_diff : 0.0129322
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.141094
  14. ema_slope_21 : 0.0572295
  15. ema_slope_50 : 0.0238132
  16. ema_slope_100 : 0.0232834
  17. rsi : 0.523326
  18. adx : 0.254089
  19. kc_percentage : 0.556308
  20. kc_width_percentage : 0.0518272
  21. volume_ema_diff : 0.293384
  22. volume_ema1 : 673525.24092977
  23. volume_ema2 : 520746.24356964
  24. chop : 36.5748
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.331337
  28. ema21 : 0.331011
  29. ema50 : 0.328864
  30. ema100 : 0.327392
  31. price_ema9_diff : -0.00654065
  32. ema9_ema21_diff : 0.000983443
  33. ema21_ema50_diff : 0.00653032
  34. price_ema100_diff : 0.00542951
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0245062
  38. ema_slope_21 : 0.038195
  39. ema_slope_50 : 0.0477265
  40. ema_slope_100 : 0.0316969
  41. rsi : 0.458252
  42. adx : 0.25452
  43. kc_percentage : 0.26558
  44. kc_width_percentage : 0.0249099
  45. volume_ema_diff : -0.00895417
  46. volume_ema1 : 156406.24232686
  47. volume_ema2 : 157819.38448384
  48. chop : 56.6656
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.331154
  52. ema21 : 0.331815
  53. ema50 : 0.331657
  54. ema100 : 0.329867
  55. price_ema9_diff : -0.00599331
  56. ema9_ema21_diff : -0.00199233
  57. ema21_ema50_diff : 0.000477019
  58. price_ema100_diff : -0.0021136
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.0383006
  62. ema_slope_21 : -0.0264413
  63. ema_slope_50 : -0.00341059
  64. ema_slope_100 : 0.0110448
  65. rsi : 0.337066
  66. adx : 0.164487
  67. kc_percentage : -0.150092
  68. kc_width_percentage : 0.0122099
  69. volume_ema_diff : 0.741565
  70. volume_ema1 : 104754.58044868
  71. volume_ema2 : 60149.655476729
  72. chop : 48.8328
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    114214
  77. 5m_price_ema100_diff: 
    0.00132863
  78. 5m_price: 
    114366
  79. 5m_correlation_with_coin: 
    0.540676
  80. btc_indicators
  81. 15m_ema100: 
    114480
  82. 15m_price_ema100_diff: 
    -0.000996429
  83. 15m_price: 
    114366
  84. 15m_correlation_with_coin: 
    -0.154371
  85. btc_indicators
  86. 1H_ema100: 
    113259
  87. 1H_price_ema100_diff: 
    0.00977609
  88. 1H_price: 
    114366
  89. 1H_correlation_with_coin: 
    -0.094599
    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] => 2025-10-25 06:00:00
                    [1] => 0.31753
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-25 10:00:00
                    [1] => 0.33025
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-26 00:00:00
                    [1] => 0.32224
                    [2] => L
                )

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

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

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

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

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

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

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

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -2.5957497188184
            [ms_dist_from_last_low_pct] => 2.7635523357482
            [ms_bars_since_swing_high] => 4
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 5.5021234074444
            [ms_bos_up] => 1
            [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] => 2025-10-27 17:15:00
                    [1] => 0.32221
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-27 18:15:00
                    [1] => 0.32478
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-27 19:15:00
                    [1] => 0.32096
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-27 22:00:00
                    [1] => 0.32496
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-27 22:45:00
                    [1] => 0.32024
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-28 01:45:00
                    [1] => 0.32218
                    [2] => L
                )

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

            [7] => Array
                (
                    [0] => 2025-10-28 04:30:00
                    [1] => 0.33618
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-28 06:15:00
                    [1] => 0.33473
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-28 07:45:00
                    [1] => 0.32879
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -1.6849401009769
            [ms_dist_from_last_low_pct] => 0.09124365096261
            [ms_bars_since_swing_high] => 6
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 1.8066242890599
            [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] => 2025-10-28 01:15:00
                    [1] => 0.32679
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-28 01:45:00
                    [1] => 0.32218
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-28 03:05:00
                    [1] => 0.33786
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-28 03:30:00
                    [1] => 0.33084
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-28 04:10:00
                    [1] => 0.3303
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-28 04:40:00
                    [1] => 0.33618
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-28 05:25:00
                    [1] => 0.33122
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-28 06:20:00
                    [1] => 0.33473
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-28 06:45:00
                    [1] => 0.33093
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-28 07:45:00
                    [1] => 0.32879
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.6849401009769
            [ms_dist_from_last_low_pct] => 0.09124365096261
            [ms_bars_since_swing_high] => 17
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 0.65087137686669
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.68%
Dist From Last Low Pct
0.09%
Bars Since Swing High
17 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
0.65%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0055
1.68%
TP to Pivot Distance
0.0057
1.70%
DateTime Price Type
2025-10-28 01:15:00 0.32679 ↑ High
2025-10-28 01:45:00 0.32218 ↓ Low
2025-10-28 03:05:00 0.33786 ↑ High
2025-10-28 03:30:00 0.33084 ↓ Low
2025-10-28 04:10:00 0.3303 ↓ Low
2025-10-28 04:40:00 0.33618 ↑ High
2025-10-28 05:25:00 0.33122 ↓ Low
2025-10-28 06:20:00 0.33473 ↑ High
2025-10-28 06:45:00 0.33093 ↓ Low
2025-10-28 07:45:00 0.32879 ↓ Low
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-1.68%
Dist From Last Low Pct
0.09%
Bars Since Swing High
6 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
1.81%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0075
2.28%
TP to Pivot Distance
0.0057
1.70%
DateTime Price Type
2025-10-27 17:15:00 0.32221 ↓ Low
2025-10-27 18:15:00 0.32478 ↑ High
2025-10-27 19:15:00 0.32096 ↓ Low
2025-10-27 22:00:00 0.32496 ↑ High
2025-10-27 22:45:00 0.32024 ↓ Low
2025-10-28 01:45:00 0.32218 ↓ Low
2025-10-28 03:00:00 0.33786 ↑ High
2025-10-28 04:30:00 0.33618 ↑ High
2025-10-28 06:15:00 0.33473 ↑ High
2025-10-28 07:45:00 0.32879 ↓ Low
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-2.60%
Dist From Last Low Pct
2.76%
Bars Since Swing High
4 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
5.50%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0102
3.10%
TP to Pivot Distance
0.0057
1.70%
DateTime Price Type
2025-10-25 06:00:00 0.31753 ↓ Low
2025-10-25 10:00:00 0.33025 ↑ High
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

📌 Time Data

Start at Closed at Duration
28 Oct 2025
07:49:19		 28 Oct 2025
08:30:00		 40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3292 0.3277 0.3322 2 0.1622
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 0.3292
  • Stop Loss: 0.3277
  • Take Profit: 0.3322

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3277 - 0.3292 = -0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3292 - 0.3322 = -0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.003 / -0.0015 = 2

📌 Position Size

Amount Margin Quantity Leverage
1740.9216 100 5288.8221 17.41
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 0.3292 = -1755.73

Donc, tu peux acheter -5333.33 avec un stoploss a 0.3277

Avec un position size USD de -1755.73$

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 -0.003 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -5333.33
  • Taille de position USD -1755.73
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.91 % 15.87 $
SL % Target SL $ Target
0.46 % 7.93 $
PNL PNL %
-7.93 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5529 % 121.33 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3322
            [entry_price] => 0.3292
            [stop_loss] => 0.32755
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-28 08:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3322
            [entry_price] => 0.3292
            [stop_loss] => 0.3274
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-28 08:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3322
            [entry_price] => 0.3292
            [stop_loss] => 0.32725
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-28 08:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3322
            [entry_price] => 0.3292
            [stop_loss] => 0.32695
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-28 09:05:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00343
            [max_drawdown] => 0.00197
            [rr_ratio] => 1.74
            [high] => 0.33263000
            [low] => 0.32723000
            [mfe_pct] => 1.04
            [mae_pct] => 0.6
            [mfe_mae_ratio] => 1.74
            [candles_analyzed] => 24
            [start_at] => 2025-10-28T07:49:19-04:00
            [end_at] => 2025-10-28T09:49:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00343
            [max_drawdown] => 0.00742
            [rr_ratio] => 0.46
            [high] => 0.33263000
            [low] => 0.32178000
            [mfe_pct] => 1.04
            [mae_pct] => 2.25
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 84
            [start_at] => 2025-10-28T07:49:19-04:00
            [end_at] => 2025-10-28T14:49:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.33618000
            [high_after] => 0.33263000
            [low_before] => 0.32879000
            [low_after] => 0.32178000
            [is_new_high] => 
            [is_new_low] => 
        )

)