Short Trade on SYRUP 09 Sep 2025 at 00:19:03

Take profit at 0.474 (1.29 %) and Stop Loss at 0.4833 (0.65 %)

Short Trade on SYRUP

The 09 Sep 2025 at 00:19:03

With 2578.3536 SYRUP at 0.4802$ per unit.

Position size of 1238.1254 $

Take profit at 0.474 (1.29 %) and Stop Loss at 0.4833 (0.65 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.12
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.6
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_medium

5m_regime : range_medium

BTC Correlation Score

5m : 0.42807

15m : -0.10369

1H : 0.030889

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.002068503438
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.480164
  4. ema21 : 0.482736
  5. ema50 : 0.486995
  6. ema100 : 0.490768
  7. price_ema9_diff : 7.30033E-5
  8. ema9_ema21_diff : -0.00532781
  9. ema21_ema50_diff : -0.00874386
  10. price_ema100_diff : -0.0215354
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0904892
  14. ema_slope_21 : -0.0724028
  15. ema_slope_50 : -0.060727
  16. ema_slope_100 : -0.0431958
  17. rsi : 0.462629
  18. adx : 0.230632
  19. kc_percentage : 0.411351
  20. kc_width_percentage : 0.0554481
  21. volume_ema_diff : 0.0285187
  22. volume_ema1 : 206264.52303932
  23. volume_ema2 : 200545.2178739
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.476805
  28. ema21 : 0.478087
  29. ema50 : 0.48096
  30. ema100 : 0.484246
  31. price_ema9_diff : 0.00711843
  32. ema9_ema21_diff : -0.00268058
  33. ema21_ema50_diff : -0.00597393
  34. price_ema100_diff : -0.00835688
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.1187
  38. ema_slope_21 : -0.112015
  39. ema_slope_50 : -0.0679738
  40. ema_slope_100 : -0.045817
  41. rsi : 0.529876
  42. adx : 0.266216
  43. kc_percentage : 0.671872
  44. kc_width_percentage : 0.0272839
  45. volume_ema_diff : -0.216617
  46. volume_ema1 : 42270.819777797
  47. volume_ema2 : 53959.357080752
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.477978
  52. ema21 : 0.475964
  53. ema50 : 0.476969
  54. ema100 : 0.479019
  55. price_ema9_diff : 0.00464841
  56. ema9_ema21_diff : 0.00423016
  57. ema21_ema50_diff : -0.00210749
  58. price_ema100_diff : 0.0024637
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.139847
  62. ema_slope_21 : 0.0667136
  63. ema_slope_50 : 0.0031231
  64. ema_slope_100 : -0.00916881
  65. rsi : 0.653697
  66. adx : 0.389967
  67. kc_percentage : 1.00184
  68. kc_width_percentage : 0.017318
  69. volume_ema_diff : -0.535188
  70. volume_ema1 : 10316.740939484
  71. volume_ema2 : 22195.519864691
  72. regime : range_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111697
  77. 5m_price_ema100_diff:
    0.00116522
  78. 5m_price:
    111828
  79. 5m_correlation_with_coin:
    0.42807
  80. btc_indicators
  81. 15m_ema100:
    111756
  82. 15m_price_ema100_diff:
    0.000643343
  83. 15m_price:
    111828
  84. 15m_correlation_with_coin:
    -0.10369
  85. btc_indicators
  86. 1H_ema100:
    111314
  87. 1H_price_ema100_diff:
    0.00461739
  88. 1H_price:
    111828
  89. 1H_correlation_with_coin:
    0.030889
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
00:19:03
09 Sep 2025
01:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4802 0.4833 0.474 2 0.2385
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 0.4802
  • Stop Loss: 0.4833
  • Take Profit: 0.474

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4833 - 0.4802 = 0.0031

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4802 - 0.474 = 0.0062

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0062 / 0.0031 = 2

📌 Position Size

Amount Margin Quantity Leverage
1238.1254 100 2578.3536 12.38
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 0.0031

Taille de position = 8 / 0.0031 = 2580.65

Taille de position USD = 2580.65 x 0.4802 = 1239.23

Donc, tu peux acheter 2580.65 avec un stoploss a 0.4833

Avec un position size USD de 1239.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2580.65 x 0.0031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2580.65 x 0.0062 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2580.65
  • Taille de position USD 1239.23
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.29 % 15.99 $
SL % Target SL $ Target
0.65 % 7.99 $
PNL PNL %
-7.99 $ -0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8746 % 135.47 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.474
            [entry_price] => 0.4802
            [stop_loss] => 0.48361
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 01:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.474
            [entry_price] => 0.4802
            [stop_loss] => 0.48392
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 01:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.474
            [entry_price] => 0.4802
            [stop_loss] => 0.48423
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 01:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.474
            [entry_price] => 0.4802
            [stop_loss] => 0.48485
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 01:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0051
            [rr_ratio] => 0.1
            [high] => 0.48530000
            [low] => 0.47970000
            [mfe_pct] => 0.1
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T00:19:03-04:00
            [end_at] => 2025-09-09T02:19:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.009
            [rr_ratio] => 0.06
            [high] => 0.48920000
            [low] => 0.47970000
            [mfe_pct] => 0.1
            [mae_pct] => 1.87
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T00:19:03-04:00
            [end_at] => 2025-09-09T07:19:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.49080000
            [high_after] => 0.48920000
            [low_before] => 0.46560000
            [low_after] => 0.47970000
            [is_new_high] => 
            [is_new_low] => 
        )

)