Long Trade on ATOM 10 Sep 2025 at 12:13:42

Take profit at 4.6916 (0.7 %) and Stop Loss at 4.6427 (0.35 %)

Long Trade on ATOM

The 10 Sep 2025 at 12:13:42

With 490.4408 ATOM at 4.659$ per unit.

Position size of 2284.9636 $

Take profit at 4.6916 (0.7 %) and Stop Loss at 4.6427 (0.35 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 4.44
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.47
Prediction 3 Probability
0 0.71
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.656518

15m : 0.161832

1H : -0.102452

3

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.01087457154
Details
  1. score: 2.11
  2. 1H
  3. ema9 : 4.65667
  4. ema21 : 4.6292
  5. ema50 : 4.58948
  6. ema100 : 4.53864
  7. price_ema9_diff : 0.000498536
  8. ema9_ema21_diff : 0.00593487
  9. ema21_ema50_diff : 0.00865524
  10. price_ema100_diff : 0.0265168
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.119559
  14. ema_slope_21 : 0.0852507
  15. ema_slope_50 : 0.0631356
  16. ema_slope_100 : 0.0524718
  17. rsi : 0.591776
  18. adx : 0.205896
  19. kc_percentage : 0.69012
  20. kc_width_percentage : 0.0316591
  21. volume_ema_diff : 0.204377
  22. volume_ema1 : 264359.06812957
  23. volume_ema2 : 219498.57189227
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 4.68178
  28. ema21 : 4.66997
  29. ema50 : 4.6422
  30. ema100 : 4.61369
  31. price_ema9_diff : -0.00486776
  32. ema9_ema21_diff : 0.00252971
  33. ema21_ema50_diff : 0.00598272
  34. price_ema100_diff : 0.0098205
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0468736
  38. ema_slope_21 : 0.0608877
  39. ema_slope_50 : 0.0493405
  40. ema_slope_100 : 0.0359656
  41. rsi : 0.483487
  42. adx : 0.295818
  43. kc_percentage : 0.354185
  44. kc_width_percentage : 0.0178724
  45. volume_ema_diff : 0.0214392
  46. volume_ema1 : 76168.173581726
  47. volume_ema2 : 74569.462811422
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 4.68021
  52. ema21 : 4.6846
  53. ema50 : 4.67659
  54. ema100 : 4.65957
  55. price_ema9_diff : -0.00453374
  56. ema9_ema21_diff : -0.000936073
  57. ema21_ema50_diff : 0.00171326
  58. price_ema100_diff : -0.000123326
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.0197899
  62. ema_slope_21 : -0.00399021
  63. ema_slope_50 : 0.00962018
  64. ema_slope_100 : 0.0128252
  65. rsi : 0.370342
  66. adx : 0.177412
  67. kc_percentage : -0.108043
  68. kc_width_percentage : 0.00902704
  69. volume_ema_diff : -0.480765
  70. volume_ema1 : 15026.365745193
  71. volume_ema2 : 28939.485186606
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113215
  77. 5m_price_ema100_diff:
    0.00433581
  78. 5m_price:
    113706
  79. 5m_correlation_with_coin:
    0.656518
  80. btc_indicators
  81. 15m_ema100:
    112225
  82. 15m_price_ema100_diff:
    0.013192
  83. 15m_price:
    113706
  84. 15m_correlation_with_coin:
    0.161832
  85. btc_indicators
  86. 1H_ema100:
    111728
  87. 1H_price_ema100_diff:
    0.0176981
  88. 1H_price:
    113706
  89. 1H_correlation_with_coin:
    -0.102452
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
12:13:42
10 Sep 2025
15:10:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.659 4.6427 4.6916 2 1.904
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 4.659
  • Stop Loss: 4.6427
  • Take Profit: 4.6916

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.6427 - 4.659 = -0.0163

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.659 - 4.6916 = -0.0326

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0326 / -0.0163 = 2

📌 Position Size

Amount Margin Quantity Leverage
2284.9636 100 490.4408 22.85
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 -0.0163

Taille de position = 8 / -0.0163 = -490.8

Taille de position USD = -490.8 x 4.659 = -2286.64

Donc, tu peux acheter -490.8 avec un stoploss a 4.6427

Avec un position size USD de -2286.64$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -490.8 x -0.0163 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -490.8 x -0.0326 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -490.8
  • Taille de position USD -2286.64
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.7 % 15.99 $
SL % Target SL $ Target
0.35 % 7.99 $
PNL PNL %
-7.99 $ -0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3863 % 110.4 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.6916
            [entry_price] => 4.659
            [stop_loss] => 4.64107
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 15:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.6916
            [entry_price] => 4.659
            [stop_loss] => 4.63944
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 15:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.6916
            [entry_price] => 4.659
            [stop_loss] => 4.63781
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 15:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.6916
            [entry_price] => 4.659
            [stop_loss] => 4.63455
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 15:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 0.0060000000000002
            [rr_ratio] => 4.83
            [high] => 4.68800000
            [low] => 4.65300000
            [mfe_pct] => 0.62
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 4.83
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T12:13:42-04:00
            [end_at] => 2025-09-10T14:13:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.053
            [max_drawdown] => 0.055
            [rr_ratio] => 0.96
            [high] => 4.71200000
            [low] => 4.60400000
            [mfe_pct] => 1.14
            [mae_pct] => 1.18
            [mfe_mae_ratio] => 0.96
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T12:13:42-04:00
            [end_at] => 2025-09-10T19:13:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.71200000
            [high_after] => 4.70700000
            [low_before] => 4.62400000
            [low_after] => 4.60400000
            [is_new_high] => 
            [is_new_low] => 
        )

)