Web3Way Logo

Long Trade on XLM

Previous Trade Next Trade

Long Trade on XLM 29 Sep 2025 at 01:09:34

Take profit at 0.3673 (0.49 %) and Stop Loss at 0.3646 (0.25 %)

Long Trade on XLM

The 29 Sep 2025 at 01:09:34

With 9064.9154 XLM at 0.3655$ per unit.

Position size of 3313.1359 $

Take profit at 0.3673 (0.49 %) and Stop Loss at 0.3646 (0.25 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -60
ML Pullback Score: 6.07
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.58
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_medium

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.686822

15m : 0.079891

1H : -0.354032

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0005883489385
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 0.365949
  4. ema21 : 0.363566
  5. ema50 : 0.361274
  6. ema100 : 0.361276
  7. price_ema9_diff : -0.0012549
  8. ema9_ema21_diff : 0.00655258
  9. ema21_ema50_diff : 0.00634566
  10. price_ema100_diff : 0.0116624
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.176477
  14. ema_slope_21 : 0.131475
  15. ema_slope_50 : 0.0675849
  16. ema_slope_100 : 0.0290352
  17. rsi : 0.581065
  18. adx : 0.315934
  19. kc_percentage : 0.694519
  20. kc_width_percentage : 0.0248518
  21. volume_ema_diff : -0.47081
  22. volume_ema1 : 386153.00225441
  23. volume_ema2 : 729705.82934667
  24. chop : 45.4863
  25. regime : bull_medium
    26. ¸
  26. 15m
  27. ema9 : 0.366731
  28. ema21 : 0.366706
  29. ema50 : 0.364922
  30. ema100 : 0.362346
  31. price_ema9_diff : -0.0033856
  32. ema9_ema21_diff : 6.8081E-5
  33. ema21_ema50_diff : 0.00488816
  34. price_ema100_diff : 0.00867461
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.000711232
  38. ema_slope_21 : 0.0140226
  39. ema_slope_50 : 0.0310249
  40. ema_slope_100 : 0.0301687
  41. rsi : 0.451261
  42. adx : 0.267419
  43. kc_percentage : 0.23064
  44. kc_width_percentage : 0.0127001
  45. volume_ema_diff : -0.499511
  46. volume_ema1 : 76802.108266843
  47. volume_ema2 : 153454.20555895
  48. chop : 59.2874
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 0.366572
  52. ema21 : 0.366844
  53. ema50 : 0.366935
  54. ema100 : 0.366574
  55. price_ema9_diff : -0.00295245
  56. ema9_ema21_diff : -0.000743206
  57. ema21_ema50_diff : -0.000246613
  58. price_ema100_diff : -0.00295928
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0175217
  62. ema_slope_21 : -0.0115946
  63. ema_slope_50 : -0.00426917
  64. ema_slope_100 : 0.000380796
  65. rsi : 0.335816
  66. adx : 0.124263
  67. kc_percentage : -0.0796145
  68. kc_width_percentage : 0.00633057
  69. volume_ema_diff : -0.260735
  70. volume_ema1 : 30119.845174309
  71. volume_ema2 : 40742.983654278
  72. chop : 49.8496
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111620
  77. 5m_price_ema100_diff: 
    -0.000405622
  78. 5m_price: 
    111575
  79. 5m_correlation_with_coin: 
    0.686822
  80. btc_indicators
  81. 15m_ema100: 
    110683
  82. 15m_price_ema100_diff: 
    0.00805529
  83. 15m_price: 
    111575
  84. 15m_correlation_with_coin: 
    0.079891
  85. btc_indicators
  86. 1H_ema100: 
    110430
  87. 1H_price_ema100_diff: 
    0.0103689
  88. 1H_price: 
    111575
  89. 1H_correlation_with_coin: 
    -0.354032
    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] => 2025-09-26 05:00:00
                    [1] => 0.35598
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-26 07:00:00
                    [1] => 0.34571
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-26 14:00:00
                    [1] => 0.36395
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-26 22:00:00
                    [1] => 0.35773
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-27 03:00:00
                    [1] => 0.36309
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-27 05:00:00
                    [1] => 0.35774
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-27 13:00:00
                    [1] => 0.35628
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.36277
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.35169
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-28 19:00:00
                    [1] => 0.36887
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.85938135386449
            [ms_dist_from_last_low_pct] => 3.9836219397765
            [ms_bars_since_swing_high] => 6
            [ms_bars_since_swing_low] => 17
            [ms_last_swing_amplitude_pct] => 4.8849839347152
            [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] => 2025-09-28 01:30:00
                    [1] => 0.35893
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-28 04:00:00
                    [1] => 0.35798
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-28 08:30:00
                    [1] => 0.35169
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-28 13:45:00
                    [1] => 0.36321
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-28 16:30:00
                    [1] => 0.36488
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-28 17:45:00
                    [1] => 0.36281
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-28 19:00:00
                    [1] => 0.36887
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-28 22:00:00
                    [1] => 0.36533
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-28 23:00:00
                    [1] => 0.36881
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-29 01:00:00
                    [1] => 0.36547
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.84325262330197
            [ms_dist_from_last_low_pct] => 0.062932662051607
            [ms_bars_since_swing_high] => 8
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 0.91389170109722
            [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] => 2025-09-28 21:00:00
                    [1] => 0.36629
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-28 21:30:00
                    [1] => 0.36756
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-28 22:05:00
                    [1] => 0.36533
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-28 23:00:00
                    [1] => 0.36881
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-28 23:05:00
                    [1] => 0.36685
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-28 23:30:00
                    [1] => 0.3682
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-29 00:00:00
                    [1] => 0.36769
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-29 00:30:00
                    [1] => 0.36583
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-29 00:45:00
                    [1] => 0.36744
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-29 01:05:00
                    [1] => 0.36547
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.47354670150228
            [ms_dist_from_last_low_pct] => 0.062932662051607
            [ms_bars_since_swing_high] => 4
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 0.53903193148548
            [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
-0.47%
Dist From Last Low Pct
0.06%
Bars Since Swing High
4 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
0.54%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-28 21:00:00 0.36629 ↓ Low
2025-09-28 21:30:00 0.36756 ↑ High
2025-09-28 22:05:00 0.36533 ↓ Low
2025-09-28 23:00:00 0.36881 ↑ High
2025-09-28 23:05:00 0.36685 ↓ Low
2025-09-28 23:30:00 0.3682 ↑ High
2025-09-29 00:00:00 0.36769 ↑ High
2025-09-29 00:30:00 0.36583 ↓ Low
2025-09-29 00:45:00 0.36744 ↑ High
2025-09-29 01:05:00 0.36547 ↓ Low
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.84%
Dist From Last Low Pct
0.06%
Bars Since Swing High
8 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
0.91%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-28 01:30:00 0.35893 ↑ High
2025-09-28 04:00:00 0.35798 ↑ High
2025-09-28 08:30:00 0.35169 ↓ Low
2025-09-28 13:45:00 0.36321 ↑ High
2025-09-28 16:30:00 0.36488 ↑ High
2025-09-28 17:45:00 0.36281 ↓ Low
2025-09-28 19:00:00 0.36887 ↑ High
2025-09-28 22:00:00 0.36533 ↓ Low
2025-09-28 23:00:00 0.36881 ↑ High
2025-09-29 01:00:00 0.36547 ↓ Low
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.86%
Dist From Last Low Pct
3.98%
Bars Since Swing High
6 bars
Bars Since Swing Low
17 bars
Last Swing Amplitude Pct
4.88%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-26 05:00:00 0.35598 ↑ High
2025-09-26 07:00:00 0.34571 ↓ Low
2025-09-26 14:00:00 0.36395 ↑ High
2025-09-26 22:00:00 0.35773 ↓ Low
2025-09-27 03:00:00 0.36309 ↑ High
2025-09-27 05:00:00 0.35774 ↓ Low
2025-09-27 13:00:00 0.35628 ↓ Low
2025-09-27 18:00:00 0.36277 ↑ High
2025-09-28 08:00:00 0.35169 ↓ Low
2025-09-28 19:00:00 0.36887 ↑ High

📌 Time Data

Start at Closed at Duration
29 Sep 2025
01:09:34		 29 Sep 2025
02:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3655 0.3646 0.3673 2 0.1601
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 0.3655
  • Stop Loss: 0.3646
  • Take Profit: 0.3673

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3646 - 0.3655 = -0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3655 - 0.3673 = -0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0018 / -0.00090000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
3313.1359 100 9064.9154 33.13
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 -0.00090000000000001

Taille de position = 8 / -0.00090000000000001 = -8888.89

Taille de position USD = -8888.89 x 0.3655 = -3248.89

Donc, tu peux acheter -8888.89 avec un stoploss a 0.3646

Avec un position size USD de -3248.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8888.89 x -0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8888.89 x -0.0018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -8888.89
  • Taille de position USD -3248.89
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.49 % 16.32 $
SL % Target SL $ Target
0.25 % 8.16 $
PNL PNL %
-8.16 $ -0.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2572 % 104.47 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3673
            [entry_price] => 0.3655
            [stop_loss] => 0.36451
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 03:25:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.3673
            [entry_price] => 0.3655
            [stop_loss] => 0.36442
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 03:25:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.3673
            [entry_price] => 0.3655
            [stop_loss] => 0.36433
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 03:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.3673
            [entry_price] => 0.3655
            [stop_loss] => 0.36415
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 03:25:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.00094
            [rr_ratio] => 1.17
            [high] => 0.36660000
            [low] => 0.36456000
            [mfe_pct] => 0.3
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 1.17
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T01:09:34-04:00
            [end_at] => 2025-09-29T03:09:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00531
            [max_drawdown] => 0.00094
            [rr_ratio] => 5.65
            [high] => 0.37081000
            [low] => 0.36456000
            [mfe_pct] => 1.45
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 5.65
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T01:09:34-04:00
            [end_at] => 2025-09-29T08:09:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.36881000
            [high_after] => 0.37081000
            [low_before] => 0.36533000
            [low_after] => 0.36456000
            [is_new_high] => 1
            [is_new_low] => 
        )

)