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Short Trade on MOODENG

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Short Trade on MOODENG 30 Sep 2025 at 15:38:42

Take profit at 0.1425 (1.18 %) and Stop Loss at 0.1451 (0.62 %)

Short Trade on MOODENG

The 30 Sep 2025 at 15:38:42

With 9335.7847 MOODENG at 0.1442$ per unit.

Position size of 1346.5936 $

Take profit at 0.1425 (1.18 %) and Stop Loss at 0.1451 (0.62 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.14
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.68
Prediction 2 Probability
2 0.64
Prediction 3 Probability
1 0.94
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.650428

15m : 0.018588

1H : 0.038319

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.38
  4. atr: 0.000571278526
Details
  1. score: 1.38
  2. 1H
  3. ema9 : 0.142973
  4. ema21 : 0.144353
  5. ema50 : 0.146131
  6. ema100 : 0.147161
  7. price_ema9_diff : 0.00885542
  8. ema9_ema21_diff : -0.00955677
  9. ema21_ema50_diff : -0.0121654
  10. price_ema100_diff : -0.0198549
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.190091
  14. ema_slope_21 : -0.163457
  15. ema_slope_50 : -0.102604
  16. ema_slope_100 : -0.059771
  17. rsi : 0.474078
  18. adx : 0.244159
  19. kc_percentage : 0.498497
  20. kc_width_percentage : 0.0537165
  21. volume_ema_diff : -0.0251246
  22. volume_ema1 : 570190.63963172
  23. volume_ema2 : 584885.67832922
  24. chop : 49.3894
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.142138
  28. ema21 : 0.14217
  29. ema50 : 0.143195
  30. ema100 : 0.144324
  31. price_ema9_diff : 0.0147865
  32. ema9_ema21_diff : -0.000228838
  33. ema21_ema50_diff : -0.0071547
  34. price_ema100_diff : -0.000586706
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0238558
  38. ema_slope_21 : -0.0340854
  39. ema_slope_50 : -0.0503917
  40. ema_slope_100 : -0.0402762
  41. rsi : 0.584563
  42. adx : 0.27685
  43. kc_percentage : 1.01213
  44. kc_width_percentage : 0.0283944
  45. volume_ema_diff : -0.395085
  46. volume_ema1 : 96482.883268573
  47. volume_ema2 : 159498.27101708
  48. chop : 54.5915
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.142741
  52. ema21 : 0.142146
  53. ema50 : 0.141994
  54. ema100 : 0.142417
  55. price_ema9_diff : 0.0104972
  56. ema9_ema21_diff : 0.0041838
  57. ema21_ema50_diff : 0.00107228
  58. price_ema100_diff : 0.0127991
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0775719
  62. ema_slope_21 : 0.0430735
  63. ema_slope_50 : 0.0122491
  64. ema_slope_100 : -0.0022153
  65. rsi : 0.722132
  66. adx : 0.298522
  67. kc_percentage : 1.37748
  68. kc_width_percentage : 0.0163207
  69. volume_ema_diff : -0.0519811
  70. volume_ema1 : 48515.777897313
  71. volume_ema2 : 51175.961859645
  72. chop : 31.779
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113234
  77. 5m_price_ema100_diff: 
    0.00778912
  78. 5m_price: 
    114116
  79. 5m_correlation_with_coin: 
    0.650428
  80. btc_indicators
  81. 15m_ema100: 
    113550
  82. 15m_price_ema100_diff: 
    0.00468781
  83. 15m_price: 
    114082
  84. 15m_correlation_with_coin: 
    0.018588
  85. btc_indicators
  86. 1H_ema100: 
    111771
  87. 1H_price_ema100_diff: 
    0.0209808
  88. 1H_price: 
    114116
  89. 1H_correlation_with_coin: 
    0.038319
    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] => 2025-09-27 18:00:00
                    [1] => 0.14885
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.14316
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-28 19:00:00
                    [1] => 0.15653
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.14482
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-29 11:00:00
                    [1] => 0.15255
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 17:00:00
                    [1] => 0.15184
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-29 21:00:00
                    [1] => 0.14431
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 02:00:00
                    [1] => 0.14772
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 11:00:00
                    [1] => 0.14029
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.14434
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.20091450741304
            [ms_dist_from_last_low_pct] => 2.6801625204933
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 2.8868771829781
            [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] => 2025-09-29 21:45:00
                    [1] => 0.14431
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-30 02:30:00
                    [1] => 0.14772
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-30 03:30:00
                    [1] => 0.14469
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-30 05:15:00
                    [1] => 0.14399
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 05:30:00
                    [1] => 0.1457
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 07:00:00
                    [1] => 0.14357
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.14526
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 11:15:00
                    [1] => 0.14029
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 13:30:00
                    [1] => 0.14231
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:30:00
                    [1] => 0.14434
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.20091450741304
            [ms_dist_from_last_low_pct] => 2.6801625204933
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 17
            [ms_last_swing_amplitude_pct] => 1.4264633546483
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [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] => 2025-09-30 10:55:00
                    [1] => 0.14364
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-30 11:25:00
                    [1] => 0.14029
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-30 11:55:00
                    [1] => 0.14192
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 12:15:00
                    [1] => 0.14051
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 12:30:00
                    [1] => 0.14171
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 12:40:00
                    [1] => 0.14051
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 13:40:00
                    [1] => 0.14231
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.14066
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:15:00
                    [1] => 0.14212
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:35:00
                    [1] => 0.14434
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.20091450741304
            [ms_dist_from_last_low_pct] => 2.4100668278117
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 19
            [ms_last_swing_amplitude_pct] => 1.5620602307909
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

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
2.41%
Bars Since Swing High
0 bars
Bars Since Swing Low
19 bars
Last Swing Amplitude Pct
1.56%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-30 10:55:00 0.14364 ↑ High
2025-09-30 11:25:00 0.14029 ↓ Low
2025-09-30 11:55:00 0.14192 ↑ High
2025-09-30 12:15:00 0.14051 ↓ Low
2025-09-30 12:30:00 0.14171 ↑ High
2025-09-30 12:40:00 0.14051 ↓ Low
2025-09-30 13:40:00 0.14231 ↑ High
2025-09-30 14:00:00 0.14066 ↓ Low
2025-09-30 14:15:00 0.14212 ↑ High
2025-09-30 15:35:00 0.14434 ↑ 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
2.68%
Bars Since Swing High
0 bars
Bars Since Swing Low
17 bars
Last Swing Amplitude Pct
1.43%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-29 21:45:00 0.14431 ↓ Low
2025-09-30 02:30:00 0.14772 ↑ High
2025-09-30 03:30:00 0.14469 ↓ Low
2025-09-30 05:15:00 0.14399 ↓ Low
2025-09-30 05:30:00 0.1457 ↑ High
2025-09-30 07:00:00 0.14357 ↓ Low
2025-09-30 09:45:00 0.14526 ↑ High
2025-09-30 11:15:00 0.14029 ↓ Low
2025-09-30 13:30:00 0.14231 ↑ High
2025-09-30 15:30:00 0.14434 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.20%
Dist From Last Low Pct
2.68%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
2.89%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-27 18:00:00 0.14885 ↑ High
2025-09-28 08:00:00 0.14316 ↓ Low
2025-09-28 19:00:00 0.15653 ↑ High
2025-09-29 09:00:00 0.14482 ↓ Low
2025-09-29 11:00:00 0.15255 ↑ High
2025-09-29 17:00:00 0.15184 ↑ High
2025-09-29 21:00:00 0.14431 ↓ Low
2025-09-30 02:00:00 0.14772 ↑ High
2025-09-30 11:00:00 0.14029 ↓ Low
2025-09-30 15:00:00 0.14434 ↑ High

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:38:42		 30 Sep 2025
15:45:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1442 0.1451 0.1425 1.89 0.0475
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 0.1442
  • Stop Loss: 0.1451
  • Take Profit: 0.1425

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1451 - 0.1442 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1442 - 0.1425 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00090000000000001 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
1346.5936 100 9335.7847 13.47
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 0.1442 = 1281.78

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1451

Avec un position size USD de 1281.78$

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 0.0017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1281.78
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
1.18 % 15.87 $
SL % Target SL $ Target
0.62 % 8.4 $
PNL PNL %
-8.4 $ -0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6935 % 111.12 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1425
            [entry_price] => 0.1442
            [stop_loss] => 0.14519
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1425
            [entry_price] => 0.1442
            [stop_loss] => 0.14528
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1425
            [entry_price] => 0.1442
            [stop_loss] => 0.14537
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1425
            [entry_price] => 0.1442
            [stop_loss] => 0.14555
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00054999999999999
            [max_drawdown] => 0.0046
            [rr_ratio] => 0.12
            [high] => 0.14880000
            [low] => 0.14365000
            [mfe_pct] => 0.38
            [mae_pct] => 3.19
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:38:42-04:00
            [end_at] => 2025-09-30T17:38:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00054999999999999
            [max_drawdown] => 0.00742
            [rr_ratio] => 0.07
            [high] => 0.15162000
            [low] => 0.14365000
            [mfe_pct] => 0.38
            [mae_pct] => 5.15
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:38:42-04:00
            [end_at] => 2025-09-30T22:38:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14434000
            [high_after] => 0.14880000
            [low_before] => 0.14051000
            [low_after] => 0.14365000
            [is_new_high] => 
            [is_new_low] => 
        )

)