Short Trade on SYRUP 08 Sep 2025 at 23:56:53

Take profit at 0.4724 (1.34 %) and Stop Loss at 0.482 (0.67 %)

Short Trade on SYRUP

The 08 Sep 2025 at 23:56:53

With 2506.5538 SYRUP at 0.4788$ per unit.

Position size of 1200.1379 $

Take profit at 0.4724 (1.34 %) and Stop Loss at 0.482 (0.67 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.4
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.5
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_medium

BTC Correlation Score

5m : 0.413867

15m : 0.090024

1H : -0.17855

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002127755406
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.479936
  4. ema21 : 0.482889
  5. ema50 : 0.487073
  6. ema100 : 0.489828
  7. price_ema9_diff : -0.00236736
  8. ema9_ema21_diff : -0.00611677
  9. ema21_ema50_diff : -0.00858836
  10. price_ema100_diff : -0.0225151
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.0924478
  14. ema_slope_21 : -0.0715608
  15. ema_slope_50 : -0.0583584
  16. ema_slope_100 : -0.0374015
  17. rsi : 0.448401
  18. adx : 0.226656
  19. kc_percentage : 0.360107
  20. kc_width_percentage : 0.0582805
  21. volume_ema_diff : 0.389275
  22. volume_ema1 : 287553.75148122
  23. volume_ema2 : 206981.10030225
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.474911
  28. ema21 : 0.477635
  29. ema50 : 0.480997
  30. ema100 : 0.484257
  31. price_ema9_diff : 0.00818741
  32. ema9_ema21_diff : -0.00570275
  33. ema21_ema50_diff : -0.00698915
  34. price_ema100_diff : -0.0112701
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.18509
  38. ema_slope_21 : -0.135316
  39. ema_slope_50 : -0.0733681
  40. ema_slope_100 : -0.0469803
  41. rsi : 0.499403
  42. adx : 0.305473
  43. kc_percentage : 0.600155
  44. kc_width_percentage : 0.0283375
  45. volume_ema_diff : 0.19384
  46. volume_ema1 : 68050.611684843
  47. volume_ema2 : 57001.439676239
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.475897
  52. ema21 : 0.47437
  53. ema50 : 0.476539
  54. ema100 : 0.478926
  55. price_ema9_diff : 0.00609842
  56. ema9_ema21_diff : 0.00322017
  57. ema21_ema50_diff : -0.00455113
  58. price_ema100_diff : -0.00026363
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.111904
  62. ema_slope_21 : 0.024153
  63. ema_slope_50 : -0.0233907
  64. ema_slope_100 : -0.0225954
  65. rsi : 0.627731
  66. adx : 0.43865
  67. kc_percentage : 1.00716
  68. kc_width_percentage : 0.0182623
  69. volume_ema_diff : -0.449658
  70. volume_ema1 : 13294.315334299
  71. volume_ema2 : 24156.491359039
  72. regime : range_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111706
  77. 5m_price_ema100_diff:
    -0.000499349
  78. 5m_price:
    111650
  79. 5m_correlation_with_coin:
    0.413867
  80. btc_indicators
  81. 15m_ema100:
    111766
  82. 15m_price_ema100_diff:
    -0.0011683
  83. 15m_price:
    111635
  84. 15m_correlation_with_coin:
    0.090024
  85. btc_indicators
  86. 1H_ema100:
    111212
  87. 1H_price_ema100_diff:
    0.00394439
  88. 1H_price:
    111650
  89. 1H_correlation_with_coin:
    -0.17855
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Sep 2025
23:56:53
09 Sep 2025
00:30:00
33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4788 0.482 0.4724 2 0.238
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 0.4788
  • Stop Loss: 0.482
  • Take Profit: 0.4724

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.482 - 0.4788 = 0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4788 - 0.4724 = 0.0064

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0064 / 0.0032 = 2

📌 Position Size

Amount Margin Quantity Leverage
1200.1379 100 2506.5538 12.00
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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.4788 = 1197

Donc, tu peux acheter 2500 avec un stoploss a 0.482

Avec un position size USD de 1197$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0064 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2500
  • Taille de position USD 1197
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.34 % 16.04 $
SL % Target SL $ Target
0.67 % 8.02 $
PNL PNL %
-8.02 $ -0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7519 % 112.51 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4724
            [entry_price] => 0.4788
            [stop_loss] => 0.48232
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 00:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4724
            [entry_price] => 0.4788
            [stop_loss] => 0.48264
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 00:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4724
            [entry_price] => 0.4788
            [stop_loss] => 0.48296
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 00:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4724
            [entry_price] => 0.4788
            [stop_loss] => 0.4836
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 01:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0022
            [max_drawdown] => 0.0065
            [rr_ratio] => 0.34
            [high] => 0.48530000
            [low] => 0.47660000
            [mfe_pct] => 0.46
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 24
            [start_at] => 2025-09-08T23:56:53-04:00
            [end_at] => 2025-09-09T01:56:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0022
            [max_drawdown] => 0.0104
            [rr_ratio] => 0.21
            [high] => 0.48920000
            [low] => 0.47660000
            [mfe_pct] => 0.46
            [mae_pct] => 2.17
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 84
            [start_at] => 2025-09-08T23:56:53-04:00
            [end_at] => 2025-09-09T06:56:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.49110000
            [high_after] => 0.48920000
            [low_before] => 0.46560000
            [low_after] => 0.47660000
            [is_new_high] => 
            [is_new_low] => 
        )

)