Short Trade on SYRUP 29 Jul 2025 at 01:20:44

Take profit at 0.5042 (0.71 %) and Stop Loss at 0.5102 (0.47 %)

Short Trade on SYRUP

The 29 Jul 2025 at 01:20:44

With 3289.3166 SYRUP at 0.5078$ per unit.

Position size of 1670.3149 $

Take profit at 0.5042 (0.71 %) and Stop Loss at 0.5102 (0.47 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 7.34
Prediction Score: -0.1417
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.66
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.501211

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.001621410784
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.505083
  4. ema21 : 0.512767
  5. ema50 : 0.528436
  6. ema100 : 0.542291
  7. price_ema9_diff : 0.00537753
  8. ema9_ema21_diff : -0.0149839
  9. ema21_ema50_diff : -0.0296524
  10. price_ema100_diff : -0.0636035
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.416316
  14. adx : 0.32986
  15. kc_percentage : 0.366868
  16. kc_width_percentage : 0.0629099
  17. volume_ema_diff : -0.653911
  18. volume_ema1 : 304782.68943203
  19. volume_ema2 : 880649.50512016
  20. ¸
  21. 15m
  22. ema9 : 0.504579
  23. ema21 : 0.50407
  24. ema50 : 0.507018
  25. ema100 : 0.515922
  26. price_ema9_diff : 0.00638288
  27. ema9_ema21_diff : 0.00100891
  28. ema21_ema50_diff : -0.00581351
  29. price_ema100_diff : -0.0157431
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.573765
  33. adx : 0.221075
  34. kc_percentage : 0.778322
  35. kc_width_percentage : 0.0263876
  36. volume_ema_diff : 0.120497
  37. volume_ema1 : 119388.09065943
  38. volume_ema2 : 106549.17463472
  39. ¸
  40. 5m
  41. ema9 : 0.505189
  42. ema21 : 0.504312
  43. ema50 : 0.503697
  44. ema100 : 0.50327
  45. price_ema9_diff : 0.00516749
  46. ema9_ema21_diff : 0.00173853
  47. ema21_ema50_diff : 0.00122051
  48. price_ema100_diff : 0.00899975
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.659742
  52. adx : 0.150585
  53. kc_percentage : 1.03174
  54. kc_width_percentage : 0.0127526
  55. volume_ema_diff : 1.33077
  56. volume_ema1 : 68707.535752028
  57. volume_ema2 : 29478.450738147
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    118213
  62. 5m_price_ema100_diff:
    0.00316586
  63. 5m_price:
    118588
  64. 5m_correlation_with_coin:
    0.501211
  65. btc_indicators
  66. 15m_ema100:
    118400
  67. 15m_price_ema100_diff:
    0.00158196
  68. 15m_price:
    118587
  69. btc_indicators
  70. 1H_ema100:
    117931
  71. 1H_price_ema100_diff:
    0.0055635
  72. 1H_price:
    118588
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Jul 2025
01:20:44
29 Jul 2025
02:10:00
49 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5078 0.5102 0.5042 1.5 0.2397
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 0.5078
  • Stop Loss: 0.5102
  • Take Profit: 0.5042

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5102 - 0.5078 = 0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5078 - 0.5042 = 0.0036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0036 / 0.0024 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1670.3149 100 3289.3166 16.70
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 0.0024

Taille de position = 8 / 0.0024 = 3333.33

Taille de position USD = 3333.33 x 0.5078 = 1692.66

Donc, tu peux acheter 3333.33 avec un stoploss a 0.5102

Avec un position size USD de 1692.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3333.33 x 0.0024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3333.33 x 0.0036 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 3333.33
  • Taille de position USD 1692.66
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.71 % 11.84 $
SL % Target SL $ Target
0.47 % 7.89 $
PNL PNL %
11.84 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1378 % 29.16 % 2

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.503
            [stop_loss] => 0.5102
            [rr_ratio] => 2
            [closed_at] => 2025-07-29 02:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.5018
            [stop_loss] => 0.5102
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-29 03:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.5006
            [stop_loss] => 0.5102
            [rr_ratio] => 3
            [closed_at] => 2025-07-29 03:40:00
            [result] => loss
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    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-07-29 03:40:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 0.5102
            [rr_ratio] => 4
            [closed_at] => 2025-07-29 03:40:00
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    [4.5] => Array
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            [take_profit] => 0.497
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            [rr_ratio] => 4.5
            [closed_at] => 2025-07-29 03:40:00
            [result] => loss
        )

    [5] => Array
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            [take_profit] => 0.4958
            [stop_loss] => 0.5102
            [rr_ratio] => 5
            [closed_at] => 2025-07-29 03:40:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 0.4946
            [stop_loss] => 0.5102
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-29 03:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.4934
            [stop_loss] => 0.5102
            [rr_ratio] => 6
            [closed_at] => 2025-07-29 03:40:00
            [result] => loss
        )

    [6.5] => Array
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            [rr_ratio] => 6.5
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            [result] => loss
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    [7] => Array
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            [stop_loss] => 0.5102
            [rr_ratio] => 7
            [closed_at] => 2025-07-29 03:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0058
            [max_drawdown] => 0.00069999999999992
            [rr_ratio] => 8.29
            [high] => 0.50850000
            [low] => 0.50200000
            [mfe_pct] => 1.14
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 8.29
            [candles_analyzed] => 24
            [start_at] => 2025-07-29T01:20:44-04:00
            [end_at] => 2025-07-29T03:20:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0215
            [max_drawdown] => 0.0095999999999999
            [rr_ratio] => 2.24
            [high] => 0.51740000
            [low] => 0.48630000
            [mfe_pct] => 4.23
            [mae_pct] => 1.89
            [mfe_mae_ratio] => 2.24
            [candles_analyzed] => 84
            [start_at] => 2025-07-29T01:20:44-04:00
            [end_at] => 2025-07-29T08:20:44-04:00
        )

    [breakout] => Array
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            [high_before] => 0.50990000
            [high_after] => 0.51740000
            [low_before] => 0.49850000
            [low_after] => 0.48630000
            [is_new_high] => 
            [is_new_low] => 1
        )

)