Long Trade on ATOM 05 Sep 2025 at 10:19:01

Take profit at 4.5024 (1.06 %) and Stop Loss at 4.4313 (0.53 %)

Long Trade on ATOM

The 05 Sep 2025 at 10:19:01

With 337.4522 ATOM at 4.455$ per unit.

Position size of 1503.3494 $

Take profit at 4.5024 (1.06 %) and Stop Loss at 4.4313 (0.53 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.25
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.66
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.699551

15m : 0.258345

1H : 0.125843

3

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.37
  4. atr: 0.01580470937
Details
  1. score: 2.37
  2. 1H
  3. ema9 : 4.4673
  4. ema21 : 4.44145
  5. ema50 : 4.43431
  6. ema100 : 4.43874
  7. price_ema9_diff : -0.00275444
  8. ema9_ema21_diff : 0.00582101
  9. ema21_ema50_diff : 0.00160874
  10. price_ema100_diff : 0.00366287
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.155124
  14. ema_slope_21 : 0.0796164
  15. ema_slope_50 : 0.0233336
  16. ema_slope_100 : 0.00668297
  17. rsi : 0.532742
  18. adx : 0.215097
  19. kc_percentage : 0.585431
  20. kc_width_percentage : 0.0327412
  21. volume_ema_diff : 1.44017
  22. volume_ema1 : 564156.84611624
  23. volume_ema2 : 231195.61030582
  24. regime : range_high
  25. ¸
  26. 15m
  27. ema9 : 4.5004
  28. ema21 : 4.4846
  29. ema50 : 4.45226
  30. ema100 : 4.42904
  31. price_ema9_diff : -0.0100895
  32. ema9_ema21_diff : 0.00352311
  33. ema21_ema50_diff : 0.00726333
  34. price_ema100_diff : 0.00586012
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0904909
  38. ema_slope_21 : 0.0823757
  39. ema_slope_50 : 0.060433
  40. ema_slope_100 : 0.0383188
  41. rsi : 0.438234
  42. adx : 0.450577
  43. kc_percentage : 0.177332
  44. kc_width_percentage : 0.0216198
  45. volume_ema_diff : 0.530741
  46. volume_ema1 : 170299.29036697
  47. volume_ema2 : 111252.8059327
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 4.51001
  52. ema21 : 4.51371
  53. ema50 : 4.4952
  54. ema100 : 4.46983
  55. price_ema9_diff : -0.0121986
  56. ema9_ema21_diff : -0.000820382
  57. ema21_ema50_diff : 0.00411813
  58. price_ema100_diff : -0.00332002
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.0258635
  62. ema_slope_21 : 0.0187645
  63. ema_slope_50 : 0.0312789
  64. ema_slope_100 : 0.0274236
  65. rsi : 0.298864
  66. adx : 0.455325
  67. kc_percentage : -0.365942
  68. kc_width_percentage : 0.0153281
  69. volume_ema_diff : 0.38116
  70. volume_ema1 : 88118.516451721
  71. volume_ema2 : 63800.337339411
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    112382
  77. 5m_price_ema100_diff:
    -0.00570371
  78. 5m_price:
    111741
  79. 5m_correlation_with_coin:
    0.699551
  80. btc_indicators
  81. 15m_ema100:
    111522
  82. 15m_price_ema100_diff:
    0.00195746
  83. 15m_price:
    111741
  84. 15m_correlation_with_coin:
    0.258345
  85. btc_indicators
  86. 1H_ema100:
    110764
  87. 1H_price_ema100_diff:
    0.00882165
  88. 1H_price:
    111741
  89. 1H_correlation_with_coin:
    0.125843
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
05 Sep 2025
10:19:01
05 Sep 2025
10:30:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.455 4.4313 4.5024 2 1.8339
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 4.455
  • Stop Loss: 4.4313
  • Take Profit: 4.5024

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4313 - 4.455 = -0.0237

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.455 - 4.5024 = -0.0474

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0474 / -0.0237 = 2

📌 Position Size

Amount Margin Quantity Leverage
1503.3494 100 337.4522 15.03
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 -0.0237

Taille de position = 8 / -0.0237 = -337.55

Taille de position USD = -337.55 x 4.455 = -1503.79

Donc, tu peux acheter -337.55 avec un stoploss a 4.4313

Avec un position size USD de -1503.79$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -337.55 x -0.0237 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -337.55 x -0.0474 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -337.55
  • Taille de position USD -1503.79
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.06 % 16 $
SL % Target SL $ Target
0.53 % 8 $
PNL PNL %
-8 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.853 % 160.34 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.5024
            [entry_price] => 4.455
            [stop_loss] => 4.42893
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-05 10:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.5024
            [entry_price] => 4.455
            [stop_loss] => 4.42656
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-05 10:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.5024
            [entry_price] => 4.455
            [stop_loss] => 4.42419
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-05 10:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.5024
            [entry_price] => 4.455
            [stop_loss] => 4.41945
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-05 10:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.012
            [max_drawdown] => 0.062
            [rr_ratio] => 0.19
            [high] => 4.46700000
            [low] => 4.39300000
            [mfe_pct] => 0.27
            [mae_pct] => 1.39
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-09-05T10:19:01-04:00
            [end_at] => 2025-09-05T12:19:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.012
            [max_drawdown] => 0.07
            [rr_ratio] => 0.17
            [high] => 4.46700000
            [low] => 4.38500000
            [mfe_pct] => 0.27
            [mae_pct] => 1.57
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 84
            [start_at] => 2025-09-05T10:19:01-04:00
            [end_at] => 2025-09-05T17:19:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.55300000
            [high_after] => 4.46700000
            [low_before] => 4.44800000
            [low_after] => 4.38500000
            [is_new_high] => 
            [is_new_low] => 
        )

)