Long Trade on GTC 28 Aug 2025 at 13:09:52

Take profit at 0.3441 (1.06 %) and Stop Loss at 0.3381 (0.7 %)

Long Trade on GTC

The 28 Aug 2025 at 13:09:52

With 3309.2285 GTC at 0.3405$ per unit.

Position size of 1126.7923 $

Take profit at 0.3441 (1.06 %) and Stop Loss at 0.3381 (0.7 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 120
ML Pullback Score: 8
Prediction Score: 0.8571
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
1 0.59
Prediction 3 Probability
0 0.93
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.139646

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.001611654588
Details
  1. score: 2.03
  2. 1H
  3. ema9 : 0.342558
  4. ema21 : 0.340035
  5. ema50 : 0.335672
  6. ema100 : 0.33384
  7. price_ema9_diff : -0.00600866
  8. ema9_ema21_diff : 0.00742052
  9. ema21_ema50_diff : 0.012998
  10. price_ema100_diff : 0.0199478
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.529535
  14. adx : 0.232934
  15. kc_percentage : 0.510807
  16. kc_width_percentage : 0.0646056
  17. volume_ema_diff : -0.279836
  18. volume_ema1 : 155907.19893907
  19. volume_ema2 : 216488.65673471
  20. ¸
  21. 15m
  22. ema9 : 0.343866
  23. ema21 : 0.345026
  24. ema50 : 0.343255
  25. ema100 : 0.339582
  26. price_ema9_diff : -0.00978894
  27. ema9_ema21_diff : -0.00336249
  28. ema21_ema50_diff : 0.00515914
  29. price_ema100_diff : 0.00270215
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.418112
  33. adx : 0.290046
  34. kc_percentage : 0.165118
  35. kc_width_percentage : 0.0396681
  36. volume_ema_diff : -0.359405
  37. volume_ema1 : 35097.276261354
  38. volume_ema2 : 54788.610173867
  39. ¸
  40. 5m
  41. ema9 : 0.341913
  42. ema21 : 0.343855
  43. ema50 : 0.345269
  44. ema100 : 0.345289
  45. price_ema9_diff : -0.00413423
  46. ema9_ema21_diff : -0.00564804
  47. ema21_ema50_diff : -0.00409595
  48. price_ema100_diff : -0.0138705
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.33162
  52. adx : 0.196401
  53. kc_percentage : -0.0315983
  54. kc_width_percentage : 0.0178904
  55. volume_ema_diff : -0.42783
  56. volume_ema1 : 10213.643028739
  57. volume_ema2 : 17850.744335474
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    112842
  62. 5m_price_ema100_diff:
    -0.00506513
  63. 5m_price:
    112270
  64. 5m_correlation_with_coin:
    0.139646
  65. btc_indicators
  66. 15m_ema100:
    112458
  67. 15m_price_ema100_diff:
    -0.00167521
  68. 15m_price:
    112270
  69. btc_indicators
  70. 1H_ema100:
    112118
  71. 1H_price_ema100_diff:
    0.00135864
  72. 1H_price:
    112270
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Aug 2025
13:09:52
28 Aug 2025
17:25:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3405 0.3381 0.3441 1.5 0.0981
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 0.3405
  • Stop Loss: 0.3381
  • Take Profit: 0.3441

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3381 - 0.3405 = -0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3405 - 0.3441 = -0.0036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0036 / -0.0024 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1126.7923 100 3309.2285 11.27
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 0.3405 = -1135

Donc, tu peux acheter -3333.33 avec un stoploss a 0.3381

Avec un position size USD de -1135$

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 -1135
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.06 % 11.91 $
SL % Target SL $ Target
0.7 % 7.94 $
PNL PNL %
11.91 $ 1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0587 % 8.33 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3453
            [stop_loss] => 0.3381
            [rr_ratio] => 2
            [closed_at] => 2025-08-28 17:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.3465
            [stop_loss] => 0.3381
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-28 17:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3477
            [stop_loss] => 0.3381
            [rr_ratio] => 3
            [closed_at] => 2025-08-28 18:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.3489
            [stop_loss] => 0.3381
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-28 18:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3501
            [stop_loss] => 0.3381
            [rr_ratio] => 4
            [closed_at] => 2025-08-28 18:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.3513
            [stop_loss] => 0.3381
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-28 18:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3525
            [stop_loss] => 0.3381
            [rr_ratio] => 5
            [closed_at] => 2025-08-28 18:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.3537
            [stop_loss] => 0.3381
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-28 18:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.3549
            [stop_loss] => 0.3381
            [rr_ratio] => 6
            [closed_at] => 2025-08-28 18:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0034
            [max_drawdown] => 0.00020000000000003
            [rr_ratio] => 17
            [high] => 0.34390000
            [low] => 0.34030000
            [mfe_pct] => 1
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 17
            [candles_analyzed] => 24
            [start_at] => 2025-08-28T13:09:52-04:00
            [end_at] => 2025-08-28T15:09:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0154
            [max_drawdown] => 0.00020000000000003
            [rr_ratio] => 77
            [high] => 0.35590000
            [low] => 0.34030000
            [mfe_pct] => 4.52
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 77
            [candles_analyzed] => 84
            [start_at] => 2025-08-28T13:09:52-04:00
            [end_at] => 2025-08-28T20:09:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.36270000
            [high_after] => 0.35590000
            [low_before] => 0.33840000
            [low_after] => 0.34030000
            [is_new_high] => 
            [is_new_low] => 
        )

)