Short Trade on SYRUP 10 Sep 2025 at 22:25:34

Take profit at 0.4473 (0.71 %) and Stop Loss at 0.4521 (0.36 %)

Short Trade on SYRUP

The 10 Sep 2025 at 22:25:34

With 5039.8393 SYRUP at 0.4505$ per unit.

Position size of 2270.4476 $

Take profit at 0.4473 (0.71 %) and Stop Loss at 0.4521 (0.36 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.11
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.47
Prediction 3 Probability
0 0.66
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.437053

15m : 0.09066

1H : 0.018026

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.00105823479
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.447997
  4. ema21 : 0.45092
  5. ema50 : 0.459761
  6. ema100 : 0.470083
  7. price_ema9_diff : 0.00558531
  8. ema9_ema21_diff : -0.0064816
  9. ema21_ema50_diff : -0.0192305
  10. price_ema100_diff : -0.0416601
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.130129
  14. ema_slope_21 : -0.136412
  15. ema_slope_50 : -0.134137
  16. ema_slope_100 : -0.106562
  17. rsi : 0.461394
  18. adx : 0.319955
  19. kc_percentage : 0.49387
  20. kc_width_percentage : 0.0427646
  21. volume_ema_diff : -0.406993
  22. volume_ema1 : 99462.356544135
  23. volume_ema2 : 167725.63794413
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.447881
  28. ema21 : 0.446608
  29. ema50 : 0.447839
  30. ema100 : 0.450639
  31. price_ema9_diff : 0.00584747
  32. ema9_ema21_diff : 0.00284872
  33. ema21_ema50_diff : -0.002748
  34. price_ema100_diff : -0.000308817
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0602652
  38. ema_slope_21 : 0.01797
  39. ema_slope_50 : -0.0145499
  40. ema_slope_100 : -0.0212525
  41. rsi : 0.663494
  42. adx : 0.166109
  43. kc_percentage : 0.97072
  44. kc_width_percentage : 0.0182443
  45. volume_ema_diff : -0.522266
  46. volume_ema1 : 19388.266666569
  47. volume_ema2 : 40583.875148001
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.449549
  52. ema21 : 0.447924
  53. ema50 : 0.446455
  54. ema100 : 0.445996
  55. price_ema9_diff : 0.00211518
  56. ema9_ema21_diff : 0.003627
  57. ema21_ema50_diff : 0.00329019
  58. price_ema100_diff : 0.0100975
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0730625
  62. ema_slope_21 : 0.0499956
  63. ema_slope_50 : 0.0271051
  64. ema_slope_100 : 0.0135331
  65. rsi : 0.669974
  66. adx : 0.289915
  67. kc_percentage : 1.06848
  68. kc_width_percentage : 0.00967609
  69. volume_ema_diff : -0.323961
  70. volume_ema1 : 6012.997227022
  71. volume_ema2 : 8894.465063954
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113761
  77. 5m_price_ema100_diff:
    -0.000542882
  78. 5m_price:
    113700
  79. 5m_correlation_with_coin:
    0.437053
  80. btc_indicators
  81. 15m_ema100:
    113022
  82. 15m_price_ema100_diff:
    0.00663066
  83. 15m_price:
    113772
  84. 15m_correlation_with_coin:
    0.09066
  85. btc_indicators
  86. 1H_ema100:
    112005
  87. 1H_price_ema100_diff:
    0.0151332
  88. 1H_price:
    113700
  89. 1H_correlation_with_coin:
    0.018026
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
22:25:34
10 Sep 2025
22:35:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4505 0.4521 0.4473 2 0.23
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 0.4505
  • Stop Loss: 0.4521
  • Take Profit: 0.4473

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4521 - 0.4505 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4505 - 0.4473 = 0.0032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0032 / 0.0016 = 2

📌 Position Size

Amount Margin Quantity Leverage
2270.4476 100 5039.8393 22.70
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.4505 = 2252.5

Donc, tu peux acheter 5000 avec un stoploss a 0.4521

Avec un position size USD de 2252.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0032 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5000
  • Taille de position USD 2252.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.71 % 16.13 $
SL % Target SL $ Target
0.36 % 8.06 $
PNL PNL %
-8.06 $ -0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3774 % 106.25 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4473
            [entry_price] => 0.4505
            [stop_loss] => 0.45226
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 22:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4473
            [entry_price] => 0.4505
            [stop_loss] => 0.45242
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 22:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4473
            [entry_price] => 0.4505
            [stop_loss] => 0.45258
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 22:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4473
            [entry_price] => 0.4505
            [stop_loss] => 0.4529
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 22:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0051
            [rr_ratio] => 0.1
            [high] => 0.45560000
            [low] => 0.45000000
            [mfe_pct] => 0.11
            [mae_pct] => 1.13
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T22:25:34-04:00
            [end_at] => 2025-09-11T00:25:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0093
            [rr_ratio] => 0.05
            [high] => 0.45980000
            [low] => 0.45000000
            [mfe_pct] => 0.11
            [mae_pct] => 2.06
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T22:25:34-04:00
            [end_at] => 2025-09-11T05:25:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.45210000
            [high_after] => 0.45980000
            [low_before] => 0.44180000
            [low_after] => 0.45000000
            [is_new_high] => 
            [is_new_low] => 
        )

)