Short Trade on SAPIEN 29 Aug 2025 at 09:17:29

Take profit at 0.129 (2.27 %) and Stop Loss at 0.134 (1.52 %)

Short Trade on SAPIEN

The 29 Aug 2025 at 09:17:29

With 3938.4677 SAPIEN at 0.132$ per unit.

Position size of 519.8777 $

Take profit at 0.129 (2.27 %) and Stop Loss at 0.134 (1.52 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.6
Prediction Score: 0.7722
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.187905

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.001354164532
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.130841
  4. ema21 : 0.135223
  5. ema50 : 0.144815
  6. ema100 : 0.160304
  7. price_ema9_diff : 0.00885095
  8. ema9_ema21_diff : -0.0324019
  9. ema21_ema50_diff : -0.0662364
  10. price_ema100_diff : -0.176566
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.420671
  14. adx : 0.300602
  15. kc_percentage : 0.338119
  16. kc_width_percentage : 0.135688
  17. volume_ema_diff : -0.270068
  18. volume_ema1 : 805685.26909346
  19. volume_ema2 : 1103782.5638428
  20. ¸
  21. 15m
  22. ema9 : 0.128471
  23. ema21 : 0.128197
  24. ema50 : 0.131868
  25. ema100 : 0.135371
  26. price_ema9_diff : 0.0274649
  27. ema9_ema21_diff : 0.00213583
  28. ema21_ema50_diff : -0.0278374
  29. price_ema100_diff : -0.024908
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.602028
  33. adx : 0.396365
  34. kc_percentage : 0.926614
  35. kc_width_percentage : 0.0692178
  36. volume_ema_diff : -0.153818
  37. volume_ema1 : 203943.82682402
  38. volume_ema2 : 241016.78147642
  39. ¸
  40. 5m
  41. ema9 : 0.130374
  42. ema21 : 0.12835
  43. ema50 : 0.127475
  44. ema100 : 0.129401
  45. price_ema9_diff : 0.0124687
  46. ema9_ema21_diff : 0.0157711
  47. ema21_ema50_diff : 0.00686204
  48. price_ema100_diff : 0.0200812
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.705175
  52. adx : 0.406331
  53. kc_percentage : 1.14637
  54. kc_width_percentage : 0.041408
  55. volume_ema_diff : -0.0569836
  56. volume_ema1 : 81430.392452861
  57. volume_ema2 : 86350.987265039
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    110373
  62. 5m_price_ema100_diff:
    0.00133874
  63. 5m_price:
    110521
  64. 5m_correlation_with_coin:
    0.187905
  65. btc_indicators
  66. 15m_ema100:
    111325
  67. 15m_price_ema100_diff:
    -0.00722393
  68. 15m_price:
    110521
  69. btc_indicators
  70. 1H_ema100:
    111376
  71. 1H_price_ema100_diff:
    -0.00767613
  72. 1H_price:
    110521
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
09:17:29
29 Aug 2025
09:20:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.132 0.134 0.129 1.5 0.08627
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 0.132
  • Stop Loss: 0.134
  • Take Profit: 0.129

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.134 - 0.132 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.132 - 0.129 = 0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.003 / 0.002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
519.8777 100 3938.4677 5.20
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 0.132 = 528

Donc, tu peux acheter 4000 avec un stoploss a 0.134

Avec un position size USD de 528$

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 0.003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 4000
  • Taille de position USD 528
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.27 % 11.82 $
SL % Target SL $ Target
1.52 % 7.88 $
PNL PNL %
-7.88 $ -1.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.7803 % 117.5 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.129
            [entry_price] => 0.132
            [stop_loss] => 0.1342
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-08-29 09:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.129
            [entry_price] => 0.132
            [stop_loss] => 0.1344
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-08-29 09:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.129
            [entry_price] => 0.132
            [stop_loss] => 0.1346
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-08-29 09:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.129
            [entry_price] => 0.132
            [stop_loss] => 0.135
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.00408
            [rr_ratio] => 0.49
            [high] => 0.13608000
            [low] => 0.13000000
            [mfe_pct] => 1.52
            [mae_pct] => 3.09
            [mfe_mae_ratio] => 0.49
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T09:17:29-04:00
            [end_at] => 2025-08-29T11:17:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0082
            [max_drawdown] => 0.00408
            [rr_ratio] => 2.01
            [high] => 0.13608000
            [low] => 0.12380000
            [mfe_pct] => 6.21
            [mae_pct] => 3.09
            [mfe_mae_ratio] => 2.01
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T09:17:29-04:00
            [end_at] => 2025-08-29T16:17:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13307000
            [high_after] => 0.13608000
            [low_before] => 0.12095000
            [low_after] => 0.12401000
            [is_new_high] => 
            [is_new_low] => 
        )

)