Short Trade on ATOM 16 Sep 2025 at 03:50:21

Take profit at 4.4623 (0.46 %) and Stop Loss at 4.4933 (0.23 %)

Short Trade on ATOM

The 16 Sep 2025 at 03:50:21

With 773.3776 ATOM at 4.483$ per unit.

Position size of 3467.0518 $

Take profit at 4.4623 (0.46 %) and Stop Loss at 4.4933 (0.23 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.81
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.89
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.61936

15m : 0.039064

1H : -0.092104

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.006896156927
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 4.47024
  4. ema21 : 4.49461
  5. ema50 : 4.56439
  6. ema100 : 4.62343
  7. price_ema9_diff : 0.00285262
  8. ema9_ema21_diff : -0.00542031
  9. ema21_ema50_diff : -0.0152894
  10. price_ema100_diff : -0.0303745
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0505374
  14. ema_slope_21 : -0.0905433
  15. ema_slope_50 : -0.100419
  16. ema_slope_100 : -0.0718927
  17. rsi : 0.441386
  18. adx : 0.469792
  19. kc_percentage : 0.434712
  20. kc_width_percentage : 0.0309521
  21. volume_ema_diff : -0.28258
  22. volume_ema1 : 257356.07448595
  23. volume_ema2 : 358724.52767666
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 4.46451
  28. ema21 : 4.46336
  29. ema50 : 4.47361
  30. ema100 : 4.49686
  31. price_ema9_diff : 0.00413992
  32. ema9_ema21_diff : 0.000258998
  33. ema21_ema50_diff : -0.00229238
  34. price_ema100_diff : -0.00308327
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.028711
  38. ema_slope_21 : 0.00596427
  39. ema_slope_50 : -0.010081
  40. ema_slope_100 : -0.0160582
  41. rsi : 0.579072
  42. adx : 0.310457
  43. kc_percentage : 0.84078
  44. kc_width_percentage : 0.0129647
  45. volume_ema_diff : -0.64448
  46. volume_ema1 : 28276.561131255
  47. volume_ema2 : 79535.97227053
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 4.46807
  52. ema21 : 4.46357
  53. ema50 : 4.46168
  54. ema100 : 4.46648
  55. price_ema9_diff : 0.00334002
  56. ema9_ema21_diff : 0.00100847
  57. ema21_ema50_diff : 0.000424176
  58. price_ema100_diff : 0.00369675
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0244261
  62. ema_slope_21 : 0.0089564
  63. ema_slope_50 : 0.0032219
  64. ema_slope_100 : -0.00124733
  65. rsi : 0.647699
  66. adx : 0.159479
  67. kc_percentage : 1.20335
  68. kc_width_percentage : 0.00609963
  69. volume_ema_diff : -0.467198
  70. volume_ema1 : 10187.962061738
  71. volume_ema2 : 19121.49930476
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115486
  77. 5m_price_ema100_diff:
    0.00247531
  78. 5m_price:
    115772
  79. 5m_correlation_with_coin:
    0.61936
  80. btc_indicators
  81. 15m_ema100:
    115396
  82. 15m_price_ema100_diff:
    0.00325487
  83. 15m_price:
    115772
  84. 15m_correlation_with_coin:
    0.039064
  85. btc_indicators
  86. 1H_ema100:
    115422
  87. 1H_price_ema100_diff:
    0.00302969
  88. 1H_price:
    115772
  89. 1H_correlation_with_coin:
    -0.092104
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
03:50:21
16 Sep 2025
04:05:00
14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.483 4.4933 4.4623 2.01 1.8433
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 4.483
  • Stop Loss: 4.4933
  • Take Profit: 4.4623

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4933 - 4.483 = 0.0103

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.483 - 4.4623 = 0.0207

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0207 / 0.0103 = 2.0097

📌 Position Size

Amount Margin Quantity Leverage
3467.0518 100 773.3776 34.67
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 0.0103

Taille de position = 8 / 0.0103 = 776.7

Taille de position USD = 776.7 x 4.483 = 3481.95

Donc, tu peux acheter 776.7 avec un stoploss a 4.4933

Avec un position size USD de 3481.95$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 776.7 x 0.0103 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 776.7 x 0.0207 = 16.08

Si Take Profit atteint, tu gagneras 16.08$

Résumé

  • Taille de position 776.7
  • Taille de position USD 3481.95
  • Perte potentielle 8
  • Gain potentiel 16.08
  • Risk-Reward Ratio 2.0097

📌 Peformances

TP % Target TP $ Target
0.46 % 16.01 $
SL % Target SL $ Target
0.23 % 7.97 $
PNL PNL %
-7.97 $ -0.23
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3569 % 155.31 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.4623
            [entry_price] => 4.483
            [stop_loss] => 4.49433
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 04:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.4623
            [entry_price] => 4.483
            [stop_loss] => 4.49536
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 04:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.4623
            [entry_price] => 4.483
            [stop_loss] => 4.49639
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 04:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.4623
            [entry_price] => 4.483
            [stop_loss] => 4.49845
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 04:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.018999999999999
            [max_drawdown] => 0.024
            [rr_ratio] => 0.79
            [high] => 4.50700000
            [low] => 4.46400000
            [mfe_pct] => 0.42
            [mae_pct] => 0.54
            [mfe_mae_ratio] => 0.79
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T03:50:21-04:00
            [end_at] => 2025-09-16T05:50:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 0.024
            [rr_ratio] => 1.96
            [high] => 4.50700000
            [low] => 4.43600000
            [mfe_pct] => 1.05
            [mae_pct] => 0.54
            [mfe_mae_ratio] => 1.96
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T03:50:21-04:00
            [end_at] => 2025-09-16T10:50:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.48300000
            [high_after] => 4.50700000
            [low_before] => 4.41600000
            [low_after] => 4.43600000
            [is_new_high] => 
            [is_new_low] => 
        )

)