Web3Way Logo

Short Trade on MORPHO

Previous Trade Next Trade

Short Trade on MORPHO 17 Nov 2025 at 19:10:32

Take profit at 1.8006 (1.02 %) and Stop Loss at 1.8283 (0.51 %)

Short Trade on MORPHO

The 17 Nov 2025 at 19:10:32

With 867.0638 MORPHO at 1.8191$ per unit.

Position size of 1577.2757 $

Take profit at 1.8006 (1.02 %) and Stop Loss at 1.8283 (0.51 %)

That's a 2.01 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 90
ML Pullback Score: 2.59
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.98
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.95
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.572625

15m : 0.088043

1H : 0.165643

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.006151027694
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 1.8242
  4. ema21 : 1.87568
  5. ema50 : 1.93525
  6. ema100 : 1.96869
  7. price_ema9_diff : -0.00280068
  8. ema9_ema21_diff : -0.0274453
  9. ema21_ema50_diff : -0.030781
  10. price_ema100_diff : -0.075989
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.697453
  14. ema_slope_21 : -0.507484
  15. ema_slope_50 : -0.28626
  16. ema_slope_100 : -0.161267
  17. rsi : 0.335862
  18. adx : 0.470773
  19. kc_percentage : 0.0861412
  20. kc_width_percentage : 0.0704638
  21. volume_ema_diff : -0.266564
  22. volume_ema1 : 99403.453088396
  23. volume_ema2 : 135531.21240668
  24. chop : 24.2392
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.80534
  28. ema21 : 1.80693
  29. ema50 : 1.84444
  30. ema100 : 1.89368
  31. price_ema9_diff : 0.00761635
  32. ema9_ema21_diff : -0.000876079
  33. ema21_ema50_diff : -0.0203403
  34. price_ema100_diff : -0.0393857
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.069491
  38. ema_slope_21 : -0.0351112
  39. ema_slope_50 : -0.116581
  40. ema_slope_100 : -0.108622
  41. rsi : 0.530366
  42. adx : 0.241058
  43. kc_percentage : 0.738167
  44. kc_width_percentage : 0.0299588
  45. volume_ema_diff : -0.555461
  46. volume_ema1 : 20307.541429662
  47. volume_ema2 : 45682.326957689
  48. chop : 63.3231
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.81159
  52. ema21 : 1.80534
  53. ema50 : 1.80204
  54. ema100 : 1.81101
  55. price_ema9_diff : 0.00414243
  56. ema9_ema21_diff : 0.00346163
  57. ema21_ema50_diff : 0.00183275
  58. price_ema100_diff : 0.00446238
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0560656
  62. ema_slope_21 : 0.0376636
  63. ema_slope_50 : 0.0154824
  64. ema_slope_100 : -0.0052083
  65. rsi : 0.663713
  66. adx : 0.182213
  67. kc_percentage : 1.0674
  68. kc_width_percentage : 0.0129776
  69. volume_ema_diff : -0.532822
  70. volume_ema1 : 4321.6534797734
  71. volume_ema2 : 9250.5526159693
  72. chop : 44.5099
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    92441.3
  77. 5m_price_ema100_diff: 
    -0.00120103
  78. 5m_price: 
    92330.3
  79. 5m_correlation_with_coin: 
    0.572625
  80. btc_indicators
  81. 15m_ema100: 
    93619.6
  82. 15m_price_ema100_diff: 
    -0.0137718
  83. 15m_price: 
    92330.3
  84. 15m_correlation_with_coin: 
    0.088043
  85. btc_indicators
  86. 1H_ema100: 
    95424.4
  87. 1H_price_ema100_diff: 
    -0.032425
  88. 1H_price: 
    92330.3
  89. 1H_correlation_with_coin: 
    0.165643
    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] => 2025-11-15 04:00:00
                    [1] => 1.9928
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-15 14:00:00
                    [1] => 2.0262
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-15 16:00:00
                    [1] => 1.9939
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-16 01:00:00
                    [1] => 2.0767
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-16 10:00:00
                    [1] => 1.9867
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-16 13:00:00
                    [1] => 2.0293
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-16 19:00:00
                    [1] => 2.0297
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-16 21:00:00
                    [1] => 1.9614
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-17 15:00:00
                    [1] => 1.7667
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-17 19:00:00
                    [1] => 1.8191
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.021988895607716
            [ms_dist_from_last_low_pct] => 2.9433406916851
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 2.9659817739288
            [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] => 2025-11-17 01:00:00
                    [1] => 1.9874
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-17 02:15:00
                    [1] => 2.0113
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-17 02:45:00
                    [1] => 2.0113
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-17 04:00:00
                    [1] => 1.9873
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-17 05:30:00
                    [1] => 1.9728
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-17 06:30:00
                    [1] => 1.9948
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-17 08:45:00
                    [1] => 1.85
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-17 15:15:00
                    [1] => 1.7667
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-17 17:15:00
                    [1] => 1.81
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-17 19:00:00
                    [1] => 1.8191
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.021988895607716
            [ms_dist_from_last_low_pct] => 2.9433406916851
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 15
            [ms_last_swing_amplitude_pct] => 0.50276243093922
            [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] => 2025-11-17 13:15:00
                    [1] => 1.7978
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-17 13:45:00
                    [1] => 1.8171
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-17 15:15:00
                    [1] => 1.7667
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-17 16:00:00
                    [1] => 1.8073
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-17 16:45:00
                    [1] => 1.7777
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-17 17:20:00
                    [1] => 1.81
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-17 17:45:00
                    [1] => 1.7909
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-17 18:05:00
                    [1] => 1.809
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-17 18:15:00
                    [1] => 1.7905
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-17 19:05:00
                    [1] => 1.8191
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.021988895607716
            [ms_dist_from_last_low_pct] => 1.5749790561296
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 11
            [ms_last_swing_amplitude_pct] => 1.5973191845853
            [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
-0.02%
Dist From Last Low Pct
1.57%
Bars Since Swing High
1 bars
Bars Since Swing Low
11 bars
Last Swing Amplitude Pct
1.60%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0092
0.50%
TP to Pivot Distance
0.0339
1.88%
DateTime Price Type
2025-11-17 13:15:00 1.7978 ↓ Low
2025-11-17 13:45:00 1.8171 ↑ High
2025-11-17 15:15:00 1.7667 ↓ Low
2025-11-17 16:00:00 1.8073 ↑ High
2025-11-17 16:45:00 1.7777 ↓ Low
2025-11-17 17:20:00 1.81 ↑ High
2025-11-17 17:45:00 1.7909 ↓ Low
2025-11-17 18:05:00 1.809 ↑ High
2025-11-17 18:15:00 1.7905 ↓ Low
2025-11-17 19:05:00 1.8191 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.02%
Dist From Last Low Pct
2.94%
Bars Since Swing High
0 bars
Bars Since Swing Low
15 bars
Last Swing Amplitude Pct
0.50%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.1830
10.01%
TP to Pivot Distance
0.0339
1.88%
DateTime Price Type
2025-11-17 01:00:00 1.9874 ↓ Low
2025-11-17 02:15:00 2.0113 ↑ High
2025-11-17 02:45:00 2.0113 ↑ High
2025-11-17 04:00:00 1.9873 ↓ Low
2025-11-17 05:30:00 1.9728 ↓ Low
2025-11-17 06:30:00 1.9948 ↑ High
2025-11-17 08:45:00 1.85 ↓ Low
2025-11-17 15:15:00 1.7667 ↓ Low
2025-11-17 17:15:00 1.81 ↑ High
2025-11-17 19:00:00 1.8191 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.02%
Dist From Last Low Pct
2.94%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
2.97%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.2484
13.59%
TP to Pivot Distance
0.0339
1.88%
DateTime Price Type
2025-11-15 04:00:00 1.9928 ↓ Low
2025-11-15 14:00:00 2.0262 ↑ High
2025-11-15 16:00:00 1.9939 ↓ Low
2025-11-16 01:00:00 2.0767 ↑ High
2025-11-16 10:00:00 1.9867 ↓ Low
2025-11-16 13:00:00 2.0293 ↑ High
2025-11-16 19:00:00 2.0297 ↑ High
2025-11-16 21:00:00 1.9614 ↓ Low
2025-11-17 15:00:00 1.7667 ↓ Low
2025-11-17 19:00:00 1.8191 ↑ High

📌 Time Data

Start at Closed at Duration
17 Nov 2025
19:10:32		 17 Nov 2025
19:30:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8191 1.8283 1.8006 2.01 1.8281
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 1.8191
  • Stop Loss: 1.8283
  • Take Profit: 1.8006

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8283 - 1.8191 = 0.0092000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8191 - 1.8006 = 0.0185

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0185 / 0.0092000000000001 = 2.0109

📌 Position Size

Amount Margin Quantity Leverage
1577.2757 100 867.0638 15.77
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 0.0092000000000001

Taille de position = 8 / 0.0092000000000001 = 869.57

Taille de position USD = 869.57 x 1.8191 = 1581.83

Donc, tu peux acheter 869.57 avec un stoploss a 1.8283

Avec un position size USD de 1581.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 869.57 x 0.0092000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 869.57 x 0.0185 = 16.09

Si Take Profit atteint, tu gagneras 16.09$

Résumé

  • Taille de position 869.57
  • Taille de position USD 1581.83
  • Perte potentielle 8
  • Gain potentiel 16.09
  • Risk-Reward Ratio 2.0109

📌 Peformances

TP % Target TP $ Target
1.02 % 16.04 $
SL % Target SL $ Target
0.51 % 7.98 $
PNL PNL %
16.04 $ 1.02
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.8007
            [stop_loss] => 1.8283
            [rr_ratio] => 2
            [closed_at] => 2025-11-17 19:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.7961
            [stop_loss] => 1.8283
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-17 19:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.7915
            [stop_loss] => 1.8283
            [rr_ratio] => 3
            [closed_at] => 2025-11-17 19:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.7869
            [stop_loss] => 1.8283
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-17 19:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.7823
            [stop_loss] => 1.8283
            [rr_ratio] => 4
            [closed_at] => 2025-11-17 19:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.7777
            [stop_loss] => 1.8283
            [rr_ratio] => 4.5
            [closed_at] => 2025-11-17 19:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.7731
            [stop_loss] => 1.8283
            [rr_ratio] => 5
            [closed_at] => 2025-11-17 20:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.7685
            [stop_loss] => 1.8283
            [rr_ratio] => 5.5
            [closed_at] => 2025-11-17 20:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.7639
            [stop_loss] => 1.8283
            [rr_ratio] => 6
            [closed_at] => 2025-11-17 20:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.7593
            [stop_loss] => 1.8283
            [rr_ratio] => 6.5
            [closed_at] => 2025-11-17 20:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.7547
            [stop_loss] => 1.8283
            [rr_ratio] => 7
            [closed_at] => 2025-11-17 20:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0437
            [max_drawdown] => 0.0181
            [rr_ratio] => 2.41
            [high] => 1.83720000
            [low] => 1.77540000
            [mfe_pct] => 2.4
            [mae_pct] => 0.99
            [mfe_mae_ratio] => 2.41
            [candles_analyzed] => 24
            [start_at] => 2025-11-17T19:10:32-05:00
            [end_at] => 2025-11-17T21:10:32-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0437
            [max_drawdown] => 0.0397
            [rr_ratio] => 1.1
            [high] => 1.85880000
            [low] => 1.77540000
            [mfe_pct] => 2.4
            [mae_pct] => 2.18
            [mfe_mae_ratio] => 1.1
            [candles_analyzed] => 84
            [start_at] => 2025-11-17T19:10:32-05:00
            [end_at] => 2025-11-18T02:10:32-05:00
        )

    [breakout] => Array
        (
            [high_before] => 1.81910000
            [high_after] => 1.85880000
            [low_before] => 1.76670000
            [low_after] => 1.77540000
            [is_new_high] => 
            [is_new_low] => 
        )

)