Short Trade on VIRTUAL 22 Sep 2025 at 10:04:33

Take profit at 1.0935 (1.3 %) and Stop Loss at 1.1151 (0.65 %)

Short Trade on VIRTUAL

The 22 Sep 2025 at 10:04:33

With 1112.6848 VIRTUAL at 1.1079$ per unit.

Position size of 1232.7435 $

Take profit at 1.0935 (1.3 %) and Stop Loss at 1.1151 (0.65 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 90
ML Pullback Score: 9.52
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium_confirmed

BTC Correlation Score

5m : 0.832462

15m : 0.003205

1H : -0.049012

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.004793211194
Details
  1. score: 1
  2. 1H
  3. ema9 : 1.11267
  4. ema21 : 1.14803
  5. ema50 : 1.19947
  6. ema100 : 1.24403
  7. price_ema9_diff : -0.00429515
  8. ema9_ema21_diff : -0.0307983
  9. ema21_ema50_diff : -0.0428863
  10. price_ema100_diff : -0.10943
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.662528
  14. ema_slope_21 : -0.549074
  15. ema_slope_50 : -0.353457
  16. ema_slope_100 : -0.228863
  17. rsi : 0.296968
  18. adx : 0.664738
  19. kc_percentage : 0.0330167
  20. kc_width_percentage : 0.0725145
  21. volume_ema_diff : -0.311681
  22. volume_ema1 : 622088.29218433
  23. volume_ema2 : 903779.75205344
  24. chop : 22.5676
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.09963
  29. ema21 : 1.10151
  30. ema50 : 1.12539
  31. ema100 : 1.16069
  32. price_ema9_diff : 0.00751775
  33. ema9_ema21_diff : -0.00171225
  34. ema21_ema50_diff : -0.021218
  35. price_ema100_diff : -0.0454849
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0120535
  39. ema_slope_21 : -0.0614536
  40. ema_slope_50 : -0.128666
  41. ema_slope_100 : -0.123321
  42. rsi : 0.519333
  43. adx : 0.510155
  44. kc_percentage : 0.701623
  45. kc_width_percentage : 0.0308823
  46. volume_ema_diff : -0.352774
  47. volume_ema1 : 183903.11858183
  48. volume_ema2 : 284140.54609146
  49. chop : 65.0361
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 1.1
  54. ema21 : 1.09765
  55. ema50 : 1.09809
  56. ema100 : 1.10624
  57. price_ema9_diff : 0.00717545
  58. ema9_ema21_diff : 0.00213947
  59. ema21_ema50_diff : -0.000396191
  60. price_ema100_diff : 0.00149551
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0379491
  64. ema_slope_21 : 0.0263362
  65. ema_slope_50 : 0.00401715
  66. ema_slope_100 : -0.0150561
  67. rsi : 0.667909
  68. adx : 0.2757
  69. kc_percentage : 1.00235
  70. kc_width_percentage : 0.0182035
  71. volume_ema_diff : 0.55311
  72. volume_ema1 : 105709.15462345
  73. volume_ema2 : 68062.873676779
  74. chop : 41.0799
  75. regime : bull_medium_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112889
  80. 5m_price_ema100_diff:
    0.00224516
  81. 5m_price:
    113142
  82. 5m_correlation_with_coin:
    0.832462
  83. btc_indicators
  84. 15m_ema100:
    113920
  85. 15m_price_ema100_diff:
    -0.00682828
  86. 15m_price:
    113142
  87. 15m_correlation_with_coin:
    0.003205
  88. btc_indicators
  89. 1H_ema100:
    115309
  90. 1H_price_ema100_diff:
    -0.0187868
  91. 1H_price:
    113142
  92. 1H_correlation_with_coin:
    -0.049012
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
10:04:33
22 Sep 2025
10:50:00
45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1079 1.1151 1.0935 2 0.6792
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 1.1079
  • Stop Loss: 1.1151
  • Take Profit: 1.0935

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1151 - 1.1079 = 0.0071999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1079 - 1.0935 = 0.0144

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0144 / 0.0071999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1232.7435 100 1112.6848 12.33
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 0.0071999999999999

Taille de position = 8 / 0.0071999999999999 = 1111.11

Taille de position USD = 1111.11 x 1.1079 = 1231

Donc, tu peux acheter 1111.11 avec un stoploss a 1.1151

Avec un position size USD de 1231$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1111.11 x 0.0071999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1111.11 x 0.0144 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1111.11
  • Taille de position USD 1231
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.3 % 16.02 $
SL % Target SL $ Target
0.65 % 8.01 $
PNL PNL %
16.02 $ 1.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4152 % 63.89 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.0935
            [stop_loss] => 1.1151
            [rr_ratio] => 2
            [closed_at] => 2025-09-22 10:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.0899
            [stop_loss] => 1.1151
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.0863
            [stop_loss] => 1.1151
            [rr_ratio] => 3
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.0827
            [stop_loss] => 1.1151
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-22 11:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.0791
            [stop_loss] => 1.1151
            [rr_ratio] => 4
            [closed_at] => 2025-09-22 12:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.0755
            [stop_loss] => 1.1151
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-22 13:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0262
            [max_drawdown] => 0.0045999999999999
            [rr_ratio] => 5.7
            [high] => 1.11250000
            [low] => 1.08170000
            [mfe_pct] => 2.36
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 5.7
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T10:04:33-04:00
            [end_at] => 2025-09-22T12:04:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0349
            [max_drawdown] => 0.0045999999999999
            [rr_ratio] => 7.59
            [high] => 1.11250000
            [low] => 1.07300000
            [mfe_pct] => 3.15
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 7.59
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T10:04:33-04:00
            [end_at] => 2025-09-22T17:04:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.10940000
            [high_after] => 1.11250000
            [low_before] => 1.08660000
            [low_after] => 1.07300000
            [is_new_high] => 
            [is_new_low] => 1
        )

)