Short Trade on SAPIEN 20 Sep 2025 at 22:49:46

Take profit at 0.2387 (1.93 %) and Stop Loss at 0.2458 (0.99 %)

Short Trade on SAPIEN

The 20 Sep 2025 at 22:49:46

With 3392.6103 SAPIEN at 0.2434$ per unit.

Position size of 825.931 $

Take profit at 0.2387 (1.93 %) and Stop Loss at 0.2458 (0.99 %)

That's a 1.96 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.84
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.56
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.237048

15m : 0.051244

1H : -0.110742

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.001572044204
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.244435
  4. ema21 : 0.244979
  5. ema50 : 0.247958
  6. ema100 : 0.255894
  7. price_ema9_diff : -0.00402987
  8. ema9_ema21_diff : -0.00222375
  9. ema21_ema50_diff : -0.0120126
  10. price_ema100_diff : -0.0486311
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.0472553
  14. ema_slope_21 : 0.00522082
  15. ema_slope_50 : -0.0523765
  16. ema_slope_100 : -0.0903763
  17. rsi : 0.480989
  18. adx : 0.204689
  19. kc_percentage : 0.441115
  20. kc_width_percentage : 0.104702
  21. volume_ema_diff : -0.245954
  22. volume_ema1 : 297679.45819907
  23. volume_ema2 : 394776.4178296
  24. chop : 42.4942
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.241077
  29. ema21 : 0.242831
  30. ema50 : 0.244329
  31. ema100 : 0.243902
  32. price_ema9_diff : 0.00983943
  33. ema9_ema21_diff : -0.00722201
  34. ema21_ema50_diff : -0.00612856
  35. price_ema100_diff : -0.00185584
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.219533
  39. ema_slope_21 : -0.139309
  40. ema_slope_50 : -0.0657597
  41. ema_slope_100 : -0.0241057
  42. rsi : 0.501374
  43. adx : 0.192217
  44. kc_percentage : 0.56594
  45. kc_width_percentage : 0.0454731
  46. volume_ema_diff : -0.190428
  47. volume_ema1 : 63604.875035611
  48. volume_ema2 : 78566.08047813
  49. chop : 41.3595
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.240119
  54. ema21 : 0.240274
  55. ema50 : 0.242172
  56. ema100 : 0.243072
  57. price_ema9_diff : 0.0138719
  58. ema9_ema21_diff : -0.000647704
  59. ema21_ema50_diff : -0.00783773
  60. price_ema100_diff : 0.00155346
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0432441
  64. ema_slope_21 : -0.0472336
  65. ema_slope_50 : -0.0588183
  66. ema_slope_100 : -0.0350398
  67. rsi : 0.599899
  68. adx : 0.291821
  69. kc_percentage : 1.00458
  70. kc_width_percentage : 0.0264228
  71. volume_ema_diff : -0.073189
  72. volume_ema1 : 24165.426637143
  73. volume_ema2 : 26073.739613688
  74. chop : 37.0565
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    115609
  80. 5m_price_ema100_diff:
    -0.000270483
  81. 5m_price:
    115578
  82. 5m_correlation_with_coin:
    0.237048
  83. btc_indicators
  84. 15m_ema100:
    115652
  85. 15m_price_ema100_diff:
    -0.00063637
  86. 15m_price:
    115578
  87. 15m_correlation_with_coin:
    0.051244
  88. btc_indicators
  89. 1H_ema100:
    116191
  90. 1H_price_ema100_diff:
    -0.00527847
  91. 1H_price:
    115578
  92. 1H_correlation_with_coin:
    -0.110742
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Sep 2025
22:49:46
20 Sep 2025
23:40:00
50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2434 0.2458 0.2387 1.96 0.08932
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 0.2434
  • Stop Loss: 0.2458
  • Take Profit: 0.2387

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2458 - 0.2434 = 0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2434 - 0.2387 = 0.0047

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0047 / 0.0024 = 1.9583

📌 Position Size

Amount Margin Quantity Leverage
825.931 100 3392.6103 8.26
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 0.0024

Taille de position = 8 / 0.0024 = 3333.33

Taille de position USD = 3333.33 x 0.2434 = 811.33

Donc, tu peux acheter 3333.33 avec un stoploss a 0.2458

Avec un position size USD de 811.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3333.33 x 0.0024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3333.33 x 0.0047 = 15.67

Si Take Profit atteint, tu gagneras 15.67$

Résumé

  • Taille de position 3333.33
  • Taille de position USD 811.33
  • Perte potentielle 8
  • Gain potentiel 15.67
  • Risk-Reward Ratio 1.9583

📌 Peformances

TP % Target TP $ Target
1.93 % 15.95 $
SL % Target SL $ Target
0.99 % 8.14 $
PNL PNL %
-8.14 $ -0.99
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0477 % 106.26 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2387
            [entry_price] => 0.2434
            [stop_loss] => 0.24604
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 23:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2387
            [entry_price] => 0.2434
            [stop_loss] => 0.24628
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 23:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2387
            [entry_price] => 0.2434
            [stop_loss] => 0.24652
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 23:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2387
            [entry_price] => 0.2434
            [stop_loss] => 0.247
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 23:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00294
            [max_drawdown] => 0.01141
            [rr_ratio] => 0.26
            [high] => 0.25481000
            [low] => 0.24046000
            [mfe_pct] => 1.21
            [mae_pct] => 4.69
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T22:49:46-04:00
            [end_at] => 2025-09-21T00:49:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01214
            [max_drawdown] => 0.01141
            [rr_ratio] => 1.06
            [high] => 0.25481000
            [low] => 0.23126000
            [mfe_pct] => 4.99
            [mae_pct] => 4.69
            [mfe_mae_ratio] => 1.06
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T22:49:46-04:00
            [end_at] => 2025-09-21T05:49:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.25290000
            [high_after] => 0.25481000
            [low_before] => 0.23561000
            [low_after] => 0.24046000
            [is_new_high] => 
            [is_new_low] => 
        )

)