Web3Way Logo

Short Trade on TRUMP

Previous Trade Next Trade

Short Trade on TRUMP 16 Nov 2025 at 10:08:02

Take profit at 7.0765 (1.04 %) and Stop Loss at 7.1882 (0.52 %)

Short Trade on TRUMP

The 16 Nov 2025 at 10:08:02

With 214.7878 TRUMP at 7.151$ per unit.

Position size of 1535.9474 $

Take profit at 7.0765 (1.04 %) and Stop Loss at 7.1882 (0.52 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 8
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.99
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.57
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.765534

15m : -0.137241

1H : -0.002921

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.02483071095
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 7.12253
  4. ema21 : 7.15185
  5. ema50 : 7.20577
  6. ema100 : 7.31096
  7. price_ema9_diff : 0.00399605
  8. ema9_ema21_diff : -0.00409956
  9. ema21_ema50_diff : -0.00748217
  10. price_ema100_diff : -0.0218797
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0746811
  14. ema_slope_21 : -0.0547084
  15. ema_slope_50 : -0.0488733
  16. ema_slope_100 : -0.0526822
  17. rsi : 0.487907
  18. adx : 0.254689
  19. kc_percentage : 0.503831
  20. kc_width_percentage : 0.0408983
  21. volume_ema_diff : -0.130372
  22. volume_ema1 : 408179.31112533
  23. volume_ema2 : 469372.84214985
  24. chop : 51.9946
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 7.08088
  28. ema21 : 7.08678
  29. ema50 : 7.12249
  30. ema100 : 7.15297
  31. price_ema9_diff : 0.00990149
  32. ema9_ema21_diff : -0.000831533
  33. ema21_ema50_diff : -0.00501449
  34. price_ema100_diff : -0.000276475
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0216514
  38. ema_slope_21 : -0.0598723
  39. ema_slope_50 : -0.0474801
  40. ema_slope_100 : -0.0311292
  41. rsi : 0.596517
  42. adx : 0.32315
  43. kc_percentage : 0.887146
  44. kc_width_percentage : 0.0237275
  45. volume_ema_diff : 0.108253
  46. volume_ema1 : 125174.44947847
  47. volume_ema2 : 112947.48045052
  48. chop : 39.8967
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 7.10277
  52. ema21 : 7.07416
  53. ema50 : 7.07631
  54. ema100 : 7.10371
  55. price_ema9_diff : 0.00678949
  56. ema9_ema21_diff : 0.00404507
  57. ema21_ema50_diff : -0.000305016
  58. price_ema100_diff : 0.00665686
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0963286
  62. ema_slope_21 : 0.0489665
  63. ema_slope_50 : 0.00683431
  64. ema_slope_100 : -0.00663847
  65. rsi : 0.705587
  66. adx : 0.366692
  67. kc_percentage : 1.23942
  68. kc_width_percentage : 0.0143148
  69. volume_ema_diff : -0.253069
  70. volume_ema1 : 36339.789769243
  71. volume_ema2 : 48652.165328414
  72. chop : 29.6272
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    95752.3
  77. 5m_price_ema100_diff: 
    -0.00364384
  78. 5m_price: 
    95403.4
  79. 5m_correlation_with_coin: 
    0.765534
  80. btc_indicators
  81. 15m_ema100: 
    95818.9
  82. 15m_price_ema100_diff: 
    -0.00433699
  83. 15m_price: 
    95403.4
  84. 15m_correlation_with_coin: 
    -0.137241
  85. btc_indicators
  86. 1H_ema100: 
    98010.6
  87. 1H_price_ema100_diff: 
    -0.0266021
  88. 1H_price: 
    95403.4
  89. 1H_correlation_with_coin: 
    -0.002921
    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] => 2025-11-13 23:00:00
                    [1] => 6.938
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-14 07:00:00
                    [1] => 7.019
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-14 14:00:00
                    [1] => 7.402
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-14 18:00:00
                    [1] => 7.127
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-15 01:00:00
                    [1] => 7.362
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-15 07:00:00
                    [1] => 7.119
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-15 12:00:00
                    [1] => 7.25
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-15 20:00:00
                    [1] => 7.069
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-15 22:00:00
                    [1] => 7.221
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-16 08:00:00
                    [1] => 6.977
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.1355767899183
            [ms_dist_from_last_low_pct] => 2.3219148631217
            [ms_bars_since_swing_high] => 12
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 3.4972051024796
            [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] => 2025-11-15 20:45:00
                    [1] => 7.069
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-15 22:15:00
                    [1] => 7.221
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-15 23:30:00
                    [1] => 7.16
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-16 00:00:00
                    [1] => 7.22
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-16 01:45:00
                    [1] => 7.165
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-16 03:00:00
                    [1] => 7.22
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-16 04:15:00
                    [1] => 7.145
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-16 04:45:00
                    [1] => 7.212
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-16 08:30:00
                    [1] => 6.977
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-16 10:00:00
                    [1] => 7.165
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.36287508722959
            [ms_dist_from_last_low_pct] => 2.3219148631217
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 2.6945678658449
            [ms_bos_up] => 0
            [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] => 2025-11-16 03:00:00
                    [1] => 7.22
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-16 03:55:00
                    [1] => 7.192
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-16 04:25:00
                    [1] => 7.145
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-16 04:50:00
                    [1] => 7.212
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-16 06:50:00
                    [1] => 7.028
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-16 07:05:00
                    [1] => 7.068
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-16 07:35:00
                    [1] => 6.991
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-16 08:15:00
                    [1] => 7.068
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-16 08:40:00
                    [1] => 6.977
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-16 10:05:00
                    [1] => 7.165
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.36287508722959
            [ms_dist_from_last_low_pct] => 2.3219148631217
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 17
            [ms_last_swing_amplitude_pct] => 2.6945678658449
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.36%
Dist From Last Low Pct
2.32%
Bars Since Swing High
0 bars
Bars Since Swing Low
17 bars
Last Swing Amplitude Pct
2.69%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0318
0.44%
TP to Pivot Distance
0.0995
1.41%
DateTime Price Type
2025-11-16 03:00:00 7.22 ↑ High
2025-11-16 03:55:00 7.192 ↑ High
2025-11-16 04:25:00 7.145 ↓ Low
2025-11-16 04:50:00 7.212 ↑ High
2025-11-16 06:50:00 7.028 ↓ Low
2025-11-16 07:05:00 7.068 ↑ High
2025-11-16 07:35:00 6.991 ↓ Low
2025-11-16 08:15:00 7.068 ↑ High
2025-11-16 08:40:00 6.977 ↓ Low
2025-11-16 10:05:00 7.165 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.36%
Dist From Last Low Pct
2.32%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
2.69%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0328
0.46%
TP to Pivot Distance
0.0995
1.41%
DateTime Price Type
2025-11-15 20:45:00 7.069 ↓ Low
2025-11-15 22:15:00 7.221 ↑ High
2025-11-15 23:30:00 7.16 ↓ Low
2025-11-16 00:00:00 7.22 ↑ High
2025-11-16 01:45:00 7.165 ↓ Low
2025-11-16 03:00:00 7.22 ↑ High
2025-11-16 04:15:00 7.145 ↓ Low
2025-11-16 04:45:00 7.212 ↑ High
2025-11-16 08:30:00 6.977 ↓ Low
2025-11-16 10:00:00 7.165 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.14%
Dist From Last Low Pct
2.32%
Bars Since Swing High
12 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
3.50%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.2138
2.97%
TP to Pivot Distance
0.1385
1.96%
DateTime Price Type
2025-11-13 23:00:00 6.938 ↓ Low
2025-11-14 07:00:00 7.019 ↓ Low
2025-11-14 14:00:00 7.402 ↑ High
2025-11-14 18:00:00 7.127 ↓ Low
2025-11-15 01:00:00 7.362 ↑ High
2025-11-15 07:00:00 7.119 ↓ Low
2025-11-15 12:00:00 7.25 ↑ High
2025-11-15 20:00:00 7.069 ↓ Low
2025-11-15 22:00:00 7.221 ↑ High
2025-11-16 08:00:00 6.977 ↓ Low

📌 Time Data

Start at Closed at Duration
16 Nov 2025
10:08:02		 16 Nov 2025
10:35:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
7.151 7.1882 7.0765 2 3.423
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 7.151
  • Stop Loss: 7.1882
  • Take Profit: 7.0765

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 7.1882 - 7.151 = 0.0372

  • Récompense (distance jusqu'au take profit):

    E - TP = 7.151 - 7.0765 = 0.0745

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0745 / 0.0372 = 2.0027

📌 Position Size

Amount Margin Quantity Leverage
1535.9474 100 214.7878 15.36
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 0.0372

Taille de position = 8 / 0.0372 = 215.05

Taille de position USD = 215.05 x 7.151 = 1537.82

Donc, tu peux acheter 215.05 avec un stoploss a 7.1882

Avec un position size USD de 1537.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 215.05 x 0.0372 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 215.05 x 0.0745 = 16.02

Si Take Profit atteint, tu gagneras 16.02$

Résumé

  • Taille de position 215.05
  • Taille de position USD 1537.82
  • Perte potentielle 8
  • Gain potentiel 16.02
  • Risk-Reward Ratio 2.0027

📌 Peformances

TP % Target TP $ Target
1.04 % 16 $
SL % Target SL $ Target
0.52 % 7.99 $
PNL PNL %
16 $ 1.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 7.0766
            [stop_loss] => 7.1882
            [rr_ratio] => 2
            [closed_at] => 2025-11-16 10:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 7.058
            [stop_loss] => 7.1882
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-16 10:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 7.0394
            [stop_loss] => 7.1882
            [rr_ratio] => 3
            [closed_at] => 2025-11-16 10:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 7.0208
            [stop_loss] => 7.1882
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-16 10:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 7.0022
            [stop_loss] => 7.1882
            [rr_ratio] => 4
            [closed_at] => 2025-11-16 11:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 6.9836
            [stop_loss] => 7.1882
            [rr_ratio] => 4.5
            [closed_at] => 2025-11-16 11:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 6.965
            [stop_loss] => 7.1882
            [rr_ratio] => 5
            [closed_at] => 2025-11-16 12:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 6.9464
            [stop_loss] => 7.1882
            [rr_ratio] => 5.5
            [closed_at] => 2025-11-16 12:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 6.9278
            [stop_loss] => 7.1882
            [rr_ratio] => 6
            [closed_at] => 2025-11-16 12:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.192
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 7.13900000
            [low] => 6.95900000
            [mfe_pct] => 2.68
            [mae_pct] => -0.17
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-11-16T10:08:02-05:00
            [end_at] => 2025-11-16T12:08:02-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.227
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 7.13900000
            [low] => 6.92400000
            [mfe_pct] => 3.17
            [mae_pct] => -0.17
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-11-16T10:08:02-05:00
            [end_at] => 2025-11-16T17:08:02-05:00
        )

    [breakout] => Array
        (
            [high_before] => 7.16500000
            [high_after] => 7.13900000
            [low_before] => 6.97700000
            [low_after] => 6.92400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)