Short Trade on SAPIEN 24 Sep 2025 at 16:04:07

Take profit at 0.204 (2.06 %) and Stop Loss at 0.2104 (1.01 %)

Short Trade on SAPIEN

The 24 Sep 2025 at 16:04:07

With 3800.3162 SAPIEN at 0.2083$ per unit.

Position size of 791.4538 $

Take profit at 0.204 (2.06 %) and Stop Loss at 0.2104 (1.01 %)

That's a 2.05 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.8
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 : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.309057

15m : 0.012606

1H : -0.062913

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.56
  4. atr: 0.001403392009
Details
  1. score: 1.56
  2. 1H
  3. ema9 : 0.206174
  4. ema21 : 0.209219
  5. ema50 : 0.215035
  6. ema100 : 0.222474
  7. price_ema9_diff : 0.0101138
  8. ema9_ema21_diff : -0.0145508
  9. ema21_ema50_diff : -0.0270475
  10. price_ema100_diff : -0.0638929
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.262277
  14. ema_slope_21 : -0.216857
  15. ema_slope_50 : -0.183307
  16. ema_slope_100 : -0.150244
  17. rsi : 0.47201
  18. adx : 0.0957025
  19. kc_percentage : 0.466696
  20. kc_width_percentage : 0.105419
  21. volume_ema_diff : -0.397725
  22. volume_ema1 : 282471.74975388
  23. volume_ema2 : 469008.02900352
  24. chop : 58.075
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.203217
  29. ema21 : 0.204013
  30. ema50 : 0.207196
  31. ema100 : 0.210378
  32. price_ema9_diff : 0.0248124
  33. ema9_ema21_diff : -0.00389885
  34. ema21_ema50_diff : -0.0153657
  35. price_ema100_diff : -0.0100718
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0654628
  39. ema_slope_21 : -0.140582
  40. ema_slope_50 : -0.123725
  41. ema_slope_100 : -0.0885054
  42. rsi : 0.584324
  43. adx : 0.201826
  44. kc_percentage : 0.916001
  45. kc_width_percentage : 0.0504378
  46. volume_ema_diff : -0.0429768
  47. volume_ema1 : 102158.67937686
  48. volume_ema2 : 106746.29947343
  49. chop : 49.3369
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.202737
  54. ema21 : 0.201763
  55. ema50 : 0.202803
  56. ema100 : 0.205484
  57. price_ema9_diff : 0.0272396
  58. ema9_ema21_diff : 0.00482513
  59. ema21_ema50_diff : -0.00512457
  60. price_ema100_diff : 0.0135087
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0999511
  64. ema_slope_21 : 0.0264963
  65. ema_slope_50 : -0.0268734
  66. ema_slope_100 : -0.0421716
  67. rsi : 0.758247
  68. adx : 0.291601
  69. kc_percentage : 1.55563
  70. kc_width_percentage : 0.0294784
  71. volume_ema_diff : 1.27222
  72. volume_ema1 : 78853.836717919
  73. volume_ema2 : 34703.395444375
  74. chop : 18.1948
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113389
  80. 5m_price_ema100_diff:
    -0.000170853
  81. 5m_price:
    113370
  82. 5m_correlation_with_coin:
    0.309057
  83. btc_indicators
  84. 15m_ema100:
    112788
  85. 15m_price_ema100_diff:
    0.0051572
  86. 15m_price:
    113370
  87. 15m_correlation_with_coin:
    0.012606
  88. btc_indicators
  89. 1H_ema100:
    113482
  90. 1H_price_ema100_diff:
    -0.000989005
  91. 1H_price:
    113370
  92. 1H_correlation_with_coin:
    -0.062913
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
24 Sep 2025
16:04:07
24 Sep 2025
16:05:00
53 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2083 0.2104 0.204 2.05 0.08899
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 0.2083
  • Stop Loss: 0.2104
  • Take Profit: 0.204

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2104 - 0.2083 = 0.0021

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2083 - 0.204 = 0.0043

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0043 / 0.0021 = 2.0476

📌 Position Size

Amount Margin Quantity Leverage
791.4538 100 3800.3162 7.91
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 0.0021

Taille de position = 8 / 0.0021 = 3809.52

Taille de position USD = 3809.52 x 0.2083 = 793.52

Donc, tu peux acheter 3809.52 avec un stoploss a 0.2104

Avec un position size USD de 793.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3809.52 x 0.0021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3809.52 x 0.0043 = 16.38

Si Take Profit atteint, tu gagneras 16.38$

Résumé

  • Taille de position 3809.52
  • Taille de position USD 793.52
  • Perte potentielle 8
  • Gain potentiel 16.38
  • Risk-Reward Ratio 2.0476

📌 Peformances

TP % Target TP $ Target
2.06 % 16.34 $
SL % Target SL $ Target
1.01 % 7.98 $
PNL PNL %
-7.98 $ -1.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.0355 % 201.89 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.204
            [entry_price] => 0.2083
            [stop_loss] => 0.21061
            [rr_ratio] => 1.86
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-24 16:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.204
            [entry_price] => 0.2083
            [stop_loss] => 0.21082
            [rr_ratio] => 1.71
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-24 16:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.204
            [entry_price] => 0.2083
            [stop_loss] => 0.21103
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-24 16:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.204
            [entry_price] => 0.2083
            [stop_loss] => 0.21145
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-24 16:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00481
            [max_drawdown] => 0.00499
            [rr_ratio] => 0.96
            [high] => 0.21329000
            [low] => 0.20349000
            [mfe_pct] => 2.31
            [mae_pct] => 2.4
            [mfe_mae_ratio] => 0.96
            [candles_analyzed] => 24
            [start_at] => 2025-09-24T16:04:07-04:00
            [end_at] => 2025-09-24T18:04:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01688
            [max_drawdown] => 0.00499
            [rr_ratio] => 3.38
            [high] => 0.21329000
            [low] => 0.19142000
            [mfe_pct] => 8.1
            [mae_pct] => 2.4
            [mfe_mae_ratio] => 3.38
            [candles_analyzed] => 84
            [start_at] => 2025-09-24T16:04:07-04:00
            [end_at] => 2025-09-24T23:04:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.20976000
            [high_after] => 0.21329000
            [low_before] => 0.19867000
            [low_after] => 0.19142000
            [is_new_high] => 
            [is_new_low] => 1
        )

)