Long Trade on CRO 29 Sep 2025 at 07:01:11

Take profit at 0.1916 (1 %) and Stop Loss at 0.1888 (0.47 %)

Long Trade on CRO

The 29 Sep 2025 at 07:01:11

With 8545.6287 CRO at 0.1897$ per unit.

Position size of 1621.3621 $

Take profit at 0.1916 (1 %) and Stop Loss at 0.1888 (0.47 %)

That's a 2.11 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 4.45
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.49
Prediction 3 Probability
0 0.51
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.466914

15m : 0.10339

1H : 0.152244

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0006241007563
Details
  1. score: 2.1
  2. 1H
  3. ema9 : 0.190195
  4. ema21 : 0.189409
  5. ema50 : 0.188581
  6. ema100 : 0.188702
  7. price_ema9_diff : -0.00244795
  8. ema9_ema21_diff : 0.00415144
  9. ema21_ema50_diff : 0.00439075
  10. price_ema100_diff : 0.00544537
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0100576
  14. ema_slope_21 : 0.0642705
  15. ema_slope_50 : 0.0398574
  16. ema_slope_100 : 0.0158538
  17. rsi : 0.523129
  18. adx : 0.222447
  19. kc_percentage : 0.531906
  20. kc_width_percentage : 0.0425413
  21. volume_ema_diff : -0.213405
  22. volume_ema1 : 477055.0380411
  23. volume_ema2 : 606481.3572311
  24. chop : 48.5505
  25. regime : range_high
  26. ¸
  27. 15m
  28. ema9 : 0.190944
  29. ema21 : 0.190627
  30. ema50 : 0.189996
  31. ema100 : 0.188878
  32. price_ema9_diff : -0.00636174
  33. ema9_ema21_diff : 0.00166682
  34. ema21_ema50_diff : 0.00331806
  35. price_ema100_diff : 0.00450785
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0774378
  39. ema_slope_21 : 0.0655804
  40. ema_slope_50 : 0.0385252
  41. ema_slope_100 : 0.0308378
  42. rsi : 0.457633
  43. adx : 0.228085
  44. kc_percentage : 0.282119
  45. kc_width_percentage : 0.0223765
  46. volume_ema_diff : -0.130311
  47. volume_ema1 : 137857.62814791
  48. volume_ema2 : 158513.8817139
  49. chop : 44.0556
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.190805
  54. ema21 : 0.191228
  55. ema50 : 0.190833
  56. ema100 : 0.190216
  57. price_ema9_diff : -0.00563667
  58. ema9_ema21_diff : -0.00221224
  59. ema21_ema50_diff : 0.00206918
  60. price_ema100_diff : -0.00255759
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : -0.0415066
  64. ema_slope_21 : -0.00455999
  65. ema_slope_50 : 0.0155266
  66. ema_slope_100 : 0.0152375
  67. rsi : 0.348018
  68. adx : 0.27623
  69. kc_percentage : -0.101006
  70. kc_width_percentage : 0.0130968
  71. volume_ema_diff : -0.208283
  72. volume_ema1 : 44942.440527652
  73. volume_ema2 : 56765.7899468
  74. chop : 29.8857
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111874
  80. 5m_price_ema100_diff:
    0.00135313
  81. 5m_price:
    112026
  82. 5m_correlation_with_coin:
    0.466914
  83. btc_indicators
  84. 15m_ema100:
    111152
  85. 15m_price_ema100_diff:
    0.00786077
  86. 15m_price:
    112026
  87. 15m_correlation_with_coin:
    0.10339
  88. btc_indicators
  89. 1H_ema100:
    110457
  90. 1H_price_ema100_diff:
    0.0142051
  91. 1H_price:
    112026
  92. 1H_correlation_with_coin:
    0.152244
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
07:01:11
29 Sep 2025
07:05:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1897 0.1888 0.1916 2.11 0.07503
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 0.1897
  • Stop Loss: 0.1888
  • Take Profit: 0.1916

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1888 - 0.1897 = -0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1897 - 0.1916 = -0.0019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0019 / -0.00090000000000001 = 2.1111

📌 Position Size

Amount Margin Quantity Leverage
1621.3621 100 8545.6287 16.21
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 -0.00090000000000001

Taille de position = 8 / -0.00090000000000001 = -8888.89

Taille de position USD = -8888.89 x 0.1897 = -1686.22

Donc, tu peux acheter -8888.89 avec un stoploss a 0.1888

Avec un position size USD de -1686.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8888.89 x -0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8888.89 x -0.0019 = 16.89

Si Take Profit atteint, tu gagneras 16.89$

Résumé

  • Taille de position -8888.89
  • Taille de position USD -1686.22
  • Perte potentielle 8
  • Gain potentiel 16.89
  • Risk-Reward Ratio 2.1111

📌 Peformances

TP % Target TP $ Target
1 % 16.24 $
SL % Target SL $ Target
0.47 % 7.69 $
PNL PNL %
-7.69 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.564 % 118.89 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1916
            [entry_price] => 0.1897
            [stop_loss] => 0.18871
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 07:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1916
            [entry_price] => 0.1897
            [stop_loss] => 0.18862
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 07:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1916
            [entry_price] => 0.1897
            [stop_loss] => 0.18853
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 07:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1916
            [entry_price] => 0.1897
            [stop_loss] => 0.18835
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 07:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00191
            [max_drawdown] => 0.00268
            [rr_ratio] => 0.71
            [high] => 0.19161000
            [low] => 0.18702000
            [mfe_pct] => 1.01
            [mae_pct] => 1.41
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T07:01:11-04:00
            [end_at] => 2025-09-29T09:01:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00841
            [max_drawdown] => 0.00268
            [rr_ratio] => 3.14
            [high] => 0.19811000
            [low] => 0.18702000
            [mfe_pct] => 4.43
            [mae_pct] => 1.41
            [mfe_mae_ratio] => 3.14
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T07:01:11-04:00
            [end_at] => 2025-09-29T14:01:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.19386000
            [high_after] => 0.19811000
            [low_before] => 0.18760000
            [low_after] => 0.18702000
            [is_new_high] => 1
            [is_new_low] => 
        )

)