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Short Trade on SPK

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Short Trade on SPK 26 Jul 2025 at 16:09:31

Take profit at 0.105 (2.14 %) and Stop Loss at 0.1089 (1.49 %)

Short Trade on SPK

The 26 Jul 2025 at 16:09:31

With 5157.2596 SPK at 0.1073$ per unit.

Position size of 553.6318 $

Take profit at 0.105 (2.14 %) and Stop Loss at 0.1089 (1.49 %)

That's a 1.44 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 10
Prediction Score: 0.0688
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.5
Prediction 3 Probability
0 0.6
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.017671

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.001034140956
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.105936
  4. ema21 : 0.109038
  5. ema50 : 0.113736
  6. ema100 : 0.114355
  7. price_ema9_diff : 0.0133464
  8. ema9_ema21_diff : -0.028449
  9. ema21_ema50_diff : -0.0413128
  10. price_ema100_diff : -0.0612641
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.451723
  14. adx : 0.281108
  15. kc_percentage : 0.415042
  16. kc_width_percentage : 0.158906
  17. volume_ema_diff : -0.684075
  18. volume_ema1 : 3001459.2968233
  19. volume_ema2 : 9500565.1633397
    20. ¸
  20. 15m
  21. ema9 : 0.104942
  22. ema21 : 0.104531
  23. ema50 : 0.106856
  24. ema100 : 0.111217
  25. price_ema9_diff : 0.0229403
  26. ema9_ema21_diff : 0.00393143
  27. ema21_ema50_diff : -0.021754
  28. price_ema100_diff : -0.0347735
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.604235
  32. adx : 0.311323
  33. kc_percentage : 0.89886
  34. kc_width_percentage : 0.066577
  35. volume_ema_diff : -0.123406
  36. volume_ema1 : 1020963.1251211
  37. volume_ema2 : 1164693.467971
    38. ¸
  38. 5m
  39. ema9 : 0.106313
  40. ema21 : 0.10492
  41. ema50 : 0.104168
  42. ema100 : 0.104797
  43. price_ema9_diff : 0.00975097
  44. ema9_ema21_diff : 0.0132772
  45. ema21_ema50_diff : 0.00721641
  46. price_ema100_diff : 0.0243612
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.745342
  50. adx : 0.343597
  51. kc_percentage : 1.04057
  52. kc_width_percentage : 0.0405587
  53. volume_ema_diff : 0.462249
  54. volume_ema1 : 489538.90881981
  55. volume_ema2 : 334784.86767312
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    118018
  59. 5m_price_ema100_diff: 
    0.000762487
  60. 5m_price: 
    118108
  61. 5m_correlation_with_coin: 
    0.017671
  62. btc_indicators
  63. 15m_ema100: 
    117618
  64. 15m_price_ema100_diff: 
    0.00417095
  65. 15m_price: 
    118108
  66. btc_indicators
  67. 1H_ema100: 
    117803
  68. 1H_price_ema100_diff: 
    0.00259044
  69. 1H_price: 
    118108
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
26 Jul 2025
16:09:31		 26 Jul 2025
16:35:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1073 0.1089 0.105 1.44 0.02049
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 0.1073
  • Stop Loss: 0.1089
  • Take Profit: 0.105

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1089 - 0.1073 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1073 - 0.105 = 0.0023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0023 / 0.0016 = 1.4375

📌 Position Size

Amount Margin Quantity Leverage
553.6318 100 5157.2596 5.54
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 0.1073 = 536.5

Donc, tu peux acheter 5000 avec un stoploss a 0.1089

Avec un position size USD de 536.5$

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 0.0023 = 11.5

Si Take Profit atteint, tu gagneras 11.5$

Résumé

  • Taille de position 5000
  • Taille de position USD 536.5
  • Perte potentielle 8
  • Gain potentiel 11.5
  • Risk-Reward Ratio 1.4375

📌 Peformances

TP % Target TP $ Target
2.14 % 11.86 $
SL % Target SL $ Target
1.49 % 8.25 $
PNL PNL %
11.87 $ 2.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3821 % 25.63 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1041
            [stop_loss] => 0.1089
            [rr_ratio] => 2
            [closed_at] => 2025-07-26 18:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1033
            [stop_loss] => 0.1089
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-26 19:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1025
            [stop_loss] => 0.1089
            [rr_ratio] => 3
            [closed_at] => 2025-07-26 20:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1017
            [stop_loss] => 0.1089
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-26 20:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1009
            [stop_loss] => 0.1089
            [rr_ratio] => 4
            [closed_at] => 2025-07-26 21:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1001
            [stop_loss] => 0.1089
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-26 21:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.0993
            [stop_loss] => 0.1089
            [rr_ratio] => 5
            [closed_at] => 2025-07-26 21:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0985
            [stop_loss] => 0.1089
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-26 22:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.0977
            [stop_loss] => 0.1089
            [rr_ratio] => 6
            [closed_at] => 2025-07-26 22:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.0969
            [stop_loss] => 0.1089
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-26 22:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00262
            [max_drawdown] => 0.00040999999999999
            [rr_ratio] => 6.39
            [high] => 0.10771000
            [low] => 0.10468000
            [mfe_pct] => 2.44
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 6.39
            [candles_analyzed] => 24
            [start_at] => 2025-07-26T16:09:31-04:00
            [end_at] => 2025-07-26T18:09:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01117
            [max_drawdown] => 0.00040999999999999
            [rr_ratio] => 27.24
            [high] => 0.10771000
            [low] => 0.09613000
            [mfe_pct] => 10.41
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 27.24
            [candles_analyzed] => 84
            [start_at] => 2025-07-26T16:09:31-04:00
            [end_at] => 2025-07-26T23:09:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10856000
            [high_after] => 0.10771000
            [low_before] => 0.10087000
            [low_after] => 0.09613000
            [is_new_high] => 
            [is_new_low] => 1
        )

)