Short Trade on SYRUP 08 Sep 2025 at 11:15:37

Take profit at 0.4825 (0.84 %) and Stop Loss at 0.4886 (0.41 %)

Short Trade on SYRUP

The 08 Sep 2025 at 11:15:37

With 3932.4631 SYRUP at 0.4866$ per unit.

Position size of 1913.5365 $

Take profit at 0.4825 (0.84 %) and Stop Loss at 0.4886 (0.41 %)

That's a 2.05 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 3.35
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.524775

15m : -0.049107

1H : -0.057843

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.001356232261
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.48506
  4. ema21 : 0.486953
  5. ema50 : 0.49047
  6. ema100 : 0.492336
  7. price_ema9_diff : 0.00317445
  8. ema9_ema21_diff : -0.00388875
  9. ema21_ema50_diff : -0.0071709
  10. price_ema100_diff : -0.0116513
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.10978
  14. ema_slope_21 : -0.0679716
  15. ema_slope_50 : -0.0531007
  16. ema_slope_100 : -0.0313872
  17. rsi : 0.480308
  18. adx : 0.228391
  19. kc_percentage : 0.490007
  20. kc_width_percentage : 0.0431019
  21. volume_ema_diff : -0.283801
  22. volume_ema1 : 143395.23841626
  23. volume_ema2 : 200217.29474464
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.484331
  28. ema21 : 0.48423
  29. ema50 : 0.485721
  30. ema100 : 0.48715
  31. price_ema9_diff : 0.00468335
  32. ema9_ema21_diff : 0.000208185
  33. ema21_ema50_diff : -0.00306863
  34. price_ema100_diff : -0.0011296
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0124737
  38. ema_slope_21 : -0.0214182
  39. ema_slope_50 : -0.0252012
  40. ema_slope_100 : -0.0181917
  41. rsi : 0.552158
  42. adx : 0.137928
  43. kc_percentage : 0.732538
  44. kc_width_percentage : 0.0213503
  45. volume_ema_diff : -0.474466
  46. volume_ema1 : 26337.254515624
  47. volume_ema2 : 50115.291822217
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.485059
  52. ema21 : 0.483907
  53. ema50 : 0.483641
  54. ema100 : 0.484584
  55. price_ema9_diff : 0.00317591
  56. ema9_ema21_diff : 0.00238004
  57. ema21_ema50_diff : 0.000551142
  58. price_ema100_diff : 0.00415832
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0622957
  62. ema_slope_21 : 0.0405325
  63. ema_slope_50 : 0.0129198
  64. ema_slope_100 : 0.00101733
  65. rsi : 0.651689
  66. adx : 0.167713
  67. kc_percentage : 1.0042
  68. kc_width_percentage : 0.0107312
  69. volume_ema_diff : -0.582506
  70. volume_ema1 : 6146.4092196448
  71. volume_ema2 : 14722.169475161
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111950
  77. 5m_price_ema100_diff:
    0.00731465
  78. 5m_price:
    112768
  79. 5m_correlation_with_coin:
    0.524775
  80. btc_indicators
  81. 15m_ema100:
    111538
  82. 15m_price_ema100_diff:
    0.0110294
  83. 15m_price:
    112768
  84. 15m_correlation_with_coin:
    -0.049107
  85. btc_indicators
  86. 1H_ema100:
    111079
  87. 1H_price_ema100_diff:
    0.0152115
  88. 1H_price:
    112768
  89. 1H_correlation_with_coin:
    -0.057843
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Sep 2025
11:15:37
08 Sep 2025
12:00:00
44 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4866 0.4886 0.4825 2.05 0.2373
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 0.4866
  • Stop Loss: 0.4886
  • Take Profit: 0.4825

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4886 - 0.4866 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4866 - 0.4825 = 0.0041

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0041 / 0.002 = 2.05

📌 Position Size

Amount Margin Quantity Leverage
1913.5365 100 3932.4631 19.14
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 0.4866 = 1946.4

Donc, tu peux acheter 4000 avec un stoploss a 0.4886

Avec un position size USD de 1946.4$

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 0.0041 = 16.4

Si Take Profit atteint, tu gagneras 16.4$

Résumé

  • Taille de position 4000
  • Taille de position USD 1946.4
  • Perte potentielle 8
  • Gain potentiel 16.4
  • Risk-Reward Ratio 2.05

📌 Peformances

TP % Target TP $ Target
0.84 % 16.12 $
SL % Target SL $ Target
0.41 % 7.86 $
PNL PNL %
-7.86 $ -0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4316 % 105.01 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4825
            [entry_price] => 0.4866
            [stop_loss] => 0.4888
            [rr_ratio] => 1.86
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-08 12:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4825
            [entry_price] => 0.4866
            [stop_loss] => 0.489
            [rr_ratio] => 1.71
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-08 13:00:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.4825
            [entry_price] => 0.4866
            [stop_loss] => 0.4892
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-08 13:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.4825
            [entry_price] => 0.4866
            [stop_loss] => 0.4896
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-08 13:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0053
            [max_drawdown] => 0.0023
            [rr_ratio] => 2.3
            [high] => 0.48890000
            [low] => 0.48130000
            [mfe_pct] => 1.09
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 2.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-08T11:15:37-04:00
            [end_at] => 2025-09-08T13:15:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0088
            [max_drawdown] => 0.0035
            [rr_ratio] => 2.51
            [high] => 0.49010000
            [low] => 0.47780000
            [mfe_pct] => 1.81
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 2.51
            [candles_analyzed] => 84
            [start_at] => 2025-09-08T11:15:37-04:00
            [end_at] => 2025-09-08T18:15:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.48690000
            [high_after] => 0.48890000
            [low_before] => 0.47730000
            [low_after] => 0.47780000
            [is_new_high] => 
            [is_new_low] => 
        )

)