Web3Way Logo

Short Trade on AAPL

Previous Trade Next Trade

Short Trade on AAPL 31 Oct 2025 at 21:08:59

Take profit at 270.5904 (0.1 %) and Stop Loss at 271.0098 (0.052 %)

Short Trade on AAPL

The 31 Oct 2025 at 21:08:59

With 57.226 AAPL at 270.87$ per unit.

Position size of 15500.8059 $

Take profit at 270.5904 (0.1 %) and Stop Loss at 271.0098 (0.052 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
1 0.65
Prediction 3 Probability
0 0.74
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : range_medium

15m_regime : bear_low

5m_regime : range_low
BTC Correlation Score

5m : 0.030993

15m : 0.002724

1H : 0.041985

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.09319773469
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 271.243
  4. ema21 : 272.62
  5. ema50 : 273.024
  6. ema100 : 272.146
  7. price_ema9_diff : -0.00137663
  8. ema9_ema21_diff : -0.00505026
  9. ema21_ema50_diff : -0.00148152
  10. price_ema100_diff : -0.00469029
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.145731
  14. ema_slope_21 : -0.104728
  15. ema_slope_50 : -0.0368346
  16. ema_slope_100 : -0.00884929
  17. rsi : 0.381442
  18. adx : 0.254283
  19. kc_percentage : 0.135864
  20. kc_width_percentage : 0.0169664
  21. volume_ema_diff : -0.541668
  22. volume_ema1 : 76856.197215987
  23. volume_ema2 : 167686.86729328
  24. chop : 39.0456
  25. regime : range_medium
    26. ¸
  26. 15m
  27. ema9 : 270.659
  28. ema21 : 270.852
  29. ema50 : 272.015
  30. ema100 : 273.78
  31. price_ema9_diff : 0.000777161
  32. ema9_ema21_diff : -0.000711575
  33. ema21_ema50_diff : -0.00427692
  34. price_ema100_diff : -0.0106302
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00616476
  38. ema_slope_21 : -0.0163888
  39. ema_slope_50 : -0.0268874
  40. ema_slope_100 : -0.0263276
  41. rsi : 0.468792
  42. adx : 0.25851
  43. kc_percentage : 0.541597
  44. kc_width_percentage : 0.00398527
  45. volume_ema_diff : -0.899417
  46. volume_ema1 : 4984.020411311
  47. volume_ema2 : 49551.69951754
  48. chop : 81.715
  49. regime : bear_low
    50. ¸
  50. 5m
  51. ema9 : 270.676
  52. ema21 : 270.608
  53. ema50 : 270.719
  54. ema100 : 271.048
  55. price_ema9_diff : 0.000715584
  56. ema9_ema21_diff : 0.00025021
  57. ema21_ema50_diff : -0.0004101
  58. price_ema100_diff : -0.000660038
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.00691008
  62. ema_slope_21 : 0.00273405
  63. ema_slope_50 : -0.00162712
  64. ema_slope_100 : -0.00350517
  65. rsi : 0.633816
  66. adx : 0.358513
  67. kc_percentage : 1.15045
  68. kc_width_percentage : 0.00147562
  69. volume_ema_diff : -0.833452
  70. volume_ema1 : 1288.3481041709
  71. volume_ema2 : 7735.6374961557
  72. chop : 19.2502
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109475
  77. 5m_price_ema100_diff: 
    0.00267191
  78. 5m_price: 
    109768
  79. 5m_correlation_with_coin: 
    0.030993
  80. btc_indicators
  81. 15m_ema100: 
    109474
  82. 15m_price_ema100_diff: 
    0.0026869
  83. 15m_price: 
    109768
  84. 15m_correlation_with_coin: 
    0.002724
  85. btc_indicators
  86. 1H_ema100: 
    110821
  87. 1H_price_ema100_diff: 
    -0.00950375
  88. 1H_price: 
    109768
  89. 1H_correlation_with_coin: 
    0.041985
    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] => 2025-10-29 10:00:00
                    [1] => 271.29
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-29 11:00:00
                    [1] => 267.39
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 22:00:00
                    [1] => 273.54
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-30 09:00:00
                    [1] => 273.92
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 10:00:00
                    [1] => 268.78
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 16:00:00
                    [1] => 263.39
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 17:00:00
                    [1] => 284.86
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-31 00:00:00
                    [1] => 279.39
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-31 10:00:00
                    [1] => 269.74
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 20:00:00
                    [1] => 270.31
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -3.0495006979491
            [ms_dist_from_last_low_pct] => 0.20716954607673
            [ms_bars_since_swing_high] => 21
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 0.21131459924371
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2025-10-31 01:45:00
                    [1] => 278.29
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 05:45:00
                    [1] => 276.19
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-31 08:15:00
                    [1] => 278.54
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-31 10:15:00
                    [1] => 269.74
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-31 12:30:00
                    [1] => 273.38
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-31 13:15:00
                    [1] => 270.54
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-31 15:30:00
                    [1] => 272.89
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-31 15:45:00
                    [1] => 270.61
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-31 20:00:00
                    [1] => 270.31
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 20:45:00
                    [1] => 270.95
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.02952574275696
            [ms_dist_from_last_low_pct] => 0.20716954607673
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 0.23676519551625
            [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] => 2025-10-31 17:50:00
                    [1] => 270.57
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 18:00:00
                    [1] => 270.63
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 18:10:00
                    [1] => 270.63
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-31 18:20:00
                    [1] => 270.63
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-31 19:05:00
                    [1] => 270.56
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-31 19:15:00
                    [1] => 270.56
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 19:20:00
                    [1] => 270.4
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 20:05:00
                    [1] => 270.31
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-31 20:45:00
                    [1] => 270.38
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 20:55:00
                    [1] => 270.95
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.02952574275696
            [ms_dist_from_last_low_pct] => 0.18122642207264
            [ms_bars_since_swing_high] => 2
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 0.2108144093498
            [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
-0.03%
Dist From Last Low Pct
0.18%
Bars Since Swing High
2 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
0.21%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0598
0.02%
TP to Pivot Distance
0.2804
0.10%
DateTime Price Type
2025-10-31 17:50:00 270.57 ↓ Low
2025-10-31 18:00:00 270.63 ↑ High
2025-10-31 18:10:00 270.63 ↑ High
2025-10-31 18:20:00 270.63 ↑ High
2025-10-31 19:05:00 270.56 ↑ High
2025-10-31 19:15:00 270.56 ↑ High
2025-10-31 19:20:00 270.4 ↓ Low
2025-10-31 20:05:00 270.31 ↓ Low
2025-10-31 20:45:00 270.38 ↓ Low
2025-10-31 20:55:00 270.95 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.03%
Dist From Last Low Pct
0.21%
Bars Since Swing High
1 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
0.24%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
7.5302
2.78%
TP to Pivot Distance
0.8504
0.31%
DateTime Price Type
2025-10-31 01:45:00 278.29 ↓ Low
2025-10-31 05:45:00 276.19 ↓ Low
2025-10-31 08:15:00 278.54 ↑ High
2025-10-31 10:15:00 269.74 ↓ Low
2025-10-31 12:30:00 273.38 ↑ High
2025-10-31 13:15:00 270.54 ↓ Low
2025-10-31 15:30:00 272.89 ↑ High
2025-10-31 15:45:00 270.61 ↓ Low
2025-10-31 20:00:00 270.31 ↓ Low
2025-10-31 20:45:00 270.95 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-3.05%
Dist From Last Low Pct
0.21%
Bars Since Swing High
21 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
0.21%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
13.8502
5.11%
TP to Pivot Distance
7.2004
2.66%
DateTime Price Type
2025-10-29 10:00:00 271.29 ↑ High
2025-10-29 11:00:00 267.39 ↓ Low
2025-10-29 22:00:00 273.54 ↑ High
2025-10-30 09:00:00 273.92 ↑ High
2025-10-30 10:00:00 268.78 ↓ Low
2025-10-30 16:00:00 263.39 ↓ Low
2025-10-30 17:00:00 284.86 ↑ High
2025-10-31 00:00:00 279.39 ↑ High
2025-10-31 10:00:00 269.74 ↓ Low
2025-10-31 20:00:00 270.31 ↓ Low

📌 Time Data

Start at Closed at Duration
31 Oct 2025
21:08:59		 02 Nov 2025
20:15:00		 1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
270.87 271.0098 270.5904 2 271.87
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 270.87
  • Stop Loss: 271.0098
  • Take Profit: 270.5904

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 271.0098 - 270.87 = 0.13979999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 270.87 - 270.5904 = 0.27960000000002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.27960000000002 / 0.13979999999998 = 2

📌 Position Size

Amount Margin Quantity Leverage
15500.8059 100 57.226 155.01
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 0.13979999999998

Taille de position = 8 / 0.13979999999998 = 57.22

Taille de position USD = 57.22 x 270.87 = 15499.18

Donc, tu peux acheter 57.22 avec un stoploss a 271.0098

Avec un position size USD de 15499.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 57.22 x 0.13979999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 57.22 x 0.27960000000002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 57.22
  • Taille de position USD 15499.18
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.1 % 16 $
SL % Target SL $ Target
0.052 % 8 $
PNL PNL %
-8 $ -0.05
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0849 % 164.53 % 566

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 0
            [high] => 270.87000000
            [low] => 270.87000000
            [mfe_pct] => 0
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-10-31T21:08:59-04:00
            [end_at] => 2025-10-31T23:08:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 0
            [high] => 270.87000000
            [low] => 270.87000000
            [mfe_pct] => 0
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-10-31T21:08:59-04:00
            [end_at] => 2025-11-01T04:08:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 270.95000000
            [high_after] => 270.87000000
            [low_before] => 270.31000000
            [low_after] => 270.87000000
            [is_new_high] => 
            [is_new_low] => 
        )

)