Web3Way Logo

Short Trade on JUP

Previous Trade Next Trade

Short Trade on JUP 30 Sep 2025 at 15:06:00

Take profit at 0.4213 (0.94 %) and Stop Loss at 0.4273 (0.47 %)

Short Trade on JUP

The 30 Sep 2025 at 15:06:00

With 3961.7651 JUP at 0.4253$ per unit.

Position size of 1684.9387 $

Take profit at 0.4213 (0.94 %) and Stop Loss at 0.4273 (0.47 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.14
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.76
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 : 0.520536

15m : 0.022817

1H : -0.060381

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.001346201286
Details
  1. score: 1.16
  2. 1H
  3. ema9 : 0.42344
  4. ema21 : 0.427794
  5. ema50 : 0.433311
  6. ema100 : 0.436161
  7. price_ema9_diff : 0.00439143
  8. ema9_ema21_diff : -0.0101785
  9. ema21_ema50_diff : -0.0127315
  10. price_ema100_diff : -0.0249026
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.200659
  14. ema_slope_21 : -0.183977
  15. ema_slope_50 : -0.11249
  16. ema_slope_100 : -0.0633032
  17. rsi : 0.445011
  18. adx : 0.294951
  19. kc_percentage : 0.401706
  20. kc_width_percentage : 0.0518517
  21. volume_ema_diff : 0.171225
  22. volume_ema1 : 375571.78836369
  23. volume_ema2 : 320665.54116521
  24. chop : 47.2646
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.421759
  28. ema21 : 0.421254
  29. ema50 : 0.424304
  30. ema100 : 0.428787
  31. price_ema9_diff : 0.0083953
  32. ema9_ema21_diff : 0.00119774
  33. ema21_ema50_diff : -0.00718751
  34. price_ema100_diff : -0.00813373
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0505875
  38. ema_slope_21 : -0.0218553
  39. ema_slope_50 : -0.0498553
  40. ema_slope_100 : -0.0463312
  41. rsi : 0.581511
  42. adx : 0.302025
  43. kc_percentage : 0.852822
  44. kc_width_percentage : 0.0273376
  45. volume_ema_diff : -0.214934
  46. volume_ema1 : 91163.158032763
  47. volume_ema2 : 116121.71617137
  48. chop : 49.4755
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.42369
  52. ema21 : 0.421772
  53. ema50 : 0.420746
  54. ema100 : 0.421915
  55. price_ema9_diff : 0.00379887
  56. ema9_ema21_diff : 0.00454773
  57. ema21_ema50_diff : 0.00243794
  58. price_ema100_diff : 0.00802238
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.104254
  62. ema_slope_21 : 0.0725705
  63. ema_slope_50 : 0.02983
  64. ema_slope_100 : 0.006215
  65. rsi : 0.675368
  66. adx : 0.323097
  67. kc_percentage : 1.16396
  68. kc_width_percentage : 0.0120936
  69. volume_ema_diff : -0.338181
  70. volume_ema1 : 27886.241042194
  71. volume_ema2 : 42135.783612477
  72. chop : 30.4915
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113182
  77. 5m_price_ema100_diff: 
    0.00590035
  78. 5m_price: 
    113849
  79. 5m_correlation_with_coin: 
    0.520536
  80. btc_indicators
  81. 15m_ema100: 
    113527
  82. 15m_price_ema100_diff: 
    0.0028434
  83. 15m_price: 
    113849
  84. 15m_correlation_with_coin: 
    0.022817
  85. btc_indicators
  86. 1H_ema100: 
    111765
  87. 1H_price_ema100_diff: 
    0.0186463
  88. 1H_price: 
    113849
  89. 1H_correlation_with_coin: 
    -0.060381
    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 05:00:00
                    [1] => 0.4353
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-27 14:00:00
                    [1] => 0.4329
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.4438
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.4236
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 18:00:00
                    [1] => 0.4528
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.4324
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-29 11:00:00
                    [1] => 0.4529
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-29 17:00:00
                    [1] => 0.4496
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 12:00:00
                    [1] => 0.4138
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.4263
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.28149190710768
            [ms_dist_from_last_low_pct] => 2.730787820203
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 3.0207829869502
            [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 14:15:00
                    [1] => 0.4392
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-29 17:00:00
                    [1] => 0.4496
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-29 21:45:00
                    [1] => 0.4313
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-29 23:15:00
                    [1] => 0.4362
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-30 01:45:00
                    [1] => 0.4362
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 06:00:00
                    [1] => 0.4245
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 07:45:00
                    [1] => 0.4324
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.4174
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 12:30:00
                    [1] => 0.4138
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.4263
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.28149190710768
            [ms_dist_from_last_low_pct] => 2.730787820203
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 3.0207829869502
            [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] => 2025-09-30 09:05:00
                    [1] => 0.4174
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.4261
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-30 10:15:00
                    [1] => 0.4247
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 10:30:00
                    [1] => 0.4193
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 11:00:00
                    [1] => 0.4246
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 11:25:00
                    [1] => 0.4141
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 12:40:00
                    [1] => 0.4138
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 13:40:00
                    [1] => 0.4213
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.4171
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.4263
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.28149190710768
            [ms_dist_from_last_low_pct] => 1.9180052745145
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 2.2057060656917
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.28%
Dist From Last Low Pct
1.92%
Bars Since Swing High
1 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
2.21%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0010
0.23%
TP to Pivot Distance
0.0075
1.78%
DateTime Price Type
2025-09-30 09:05:00 0.4174 ↓ Low
2025-09-30 09:45:00 0.4261 ↑ High
2025-09-30 10:15:00 0.4247 ↑ High
2025-09-30 10:30:00 0.4193 ↓ Low
2025-09-30 11:00:00 0.4246 ↑ High
2025-09-30 11:25:00 0.4141 ↓ Low
2025-09-30 12:40:00 0.4138 ↓ Low
2025-09-30 13:40:00 0.4213 ↑ High
2025-09-30 14:00:00 0.4171 ↓ Low
2025-09-30 15:00:00 0.4263 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.28%
Dist From Last Low Pct
2.73%
Bars Since Swing High
0 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
3.02%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0223
5.22%
TP to Pivot Distance
0.0075
1.78%
DateTime Price Type
2025-09-29 14:15:00 0.4392 ↓ Low
2025-09-29 17:00:00 0.4496 ↑ High
2025-09-29 21:45:00 0.4313 ↓ Low
2025-09-29 23:15:00 0.4362 ↑ High
2025-09-30 01:45:00 0.4362 ↑ High
2025-09-30 06:00:00 0.4245 ↓ Low
2025-09-30 07:45:00 0.4324 ↑ High
2025-09-30 09:00:00 0.4174 ↓ Low
2025-09-30 12:30:00 0.4138 ↓ Low
2025-09-30 15:00:00 0.4263 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.28%
Dist From Last Low Pct
2.73%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
3.02%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0256
5.99%
TP to Pivot Distance
0.0075
1.78%
DateTime Price Type
2025-09-27 05:00:00 0.4353 ↓ Low
2025-09-27 14:00:00 0.4329 ↓ Low
2025-09-27 18:00:00 0.4438 ↑ High
2025-09-28 08:00:00 0.4236 ↓ Low
2025-09-28 18:00:00 0.4528 ↑ High
2025-09-29 09:00:00 0.4324 ↓ Low
2025-09-29 11:00:00 0.4529 ↑ High
2025-09-29 17:00:00 0.4496 ↑ High
2025-09-30 12:00:00 0.4138 ↓ Low
2025-09-30 15:00:00 0.4263 ↑ High

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:06:00		 30 Sep 2025
15:30:00		 24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4253 0.4273 0.4213 2 0.1922
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 0.4253
  • Stop Loss: 0.4273
  • Take Profit: 0.4213

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4273 - 0.4253 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4253 - 0.4213 = 0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.004 / 0.002 = 2

📌 Position Size

Amount Margin Quantity Leverage
1684.9387 100 3961.7651 16.85
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.4253 = 1701.2

Donc, tu peux acheter 4000 avec un stoploss a 0.4273

Avec un position size USD de 1701.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.004 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4000
  • Taille de position USD 1701.2
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.94 % 15.85 $
SL % Target SL $ Target
0.47 % 7.92 $
PNL PNL %
-7.92 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7759 % 164.98 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4213
            [entry_price] => 0.4253
            [stop_loss] => 0.4275
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4213
            [entry_price] => 0.4253
            [stop_loss] => 0.4277
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4213
            [entry_price] => 0.4253
            [stop_loss] => 0.4279
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4213
            [entry_price] => 0.4253
            [stop_loss] => 0.4283
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.0115
            [rr_ratio] => 0.1
            [high] => 0.43680000
            [low] => 0.42410000
            [mfe_pct] => 0.28
            [mae_pct] => 2.7
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:06:00-04:00
            [end_at] => 2025-09-30T17:06:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.0115
            [rr_ratio] => 0.1
            [high] => 0.43680000
            [low] => 0.42410000
            [mfe_pct] => 0.28
            [mae_pct] => 2.7
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:06:00-04:00
            [end_at] => 2025-09-30T22:06:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.42630000
            [high_after] => 0.43680000
            [low_before] => 0.41380000
            [low_after] => 0.42410000
            [is_new_high] => 
            [is_new_low] => 
        )

)