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Short Trade on CRO

Short Trade on CRO

The 22 Oct 2025 at 22:53:58

With 17437.5515 CRO at 0.1414$ per unit.

Position size of 2466.3673 $

Take profit at 0.1405 (0.64 %) and Stop Loss at 0.1419 (0.35 %)

That's a 1.8 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.17
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.67
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.666078

15m : 0.106976

1H : -0.119129

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0003058533386
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.140536
  4. ema21 - 0.141889
  5. ema50 - 0.144182
  6. ema100 - 0.145387
  7. price_ema9_diff - 0.00642945
  8. ema9_ema21_diff - -0.00953312
  9. ema21_ema50_diff - -0.0159049
  10. price_ema100_diff - -0.0271533
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.220877
  14. ema_slope_21 - -0.18625
  15. ema_slope_50 - -0.129276
  16. ema_slope_100 - -0.0745403
  17. rsi - 0.456951
  18. adx - 0.257681
  19. kc_percentage - 0.458284
  20. kc_width_percentage - 0.0572327
  21. volume_ema_diff - -0.033097
  22. volume_ema1 - 183190.31331016
  23. volume_ema2 - 189460.90231801
  24. chop - 44.3743
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.14075
  28. ema21 - 0.140323
  29. ema50 - 0.140846
  30. ema100 - 0.141935
  31. price_ema9_diff - 0.00490104
  32. ema9_ema21_diff - 0.00303747
  33. ema21_ema50_diff - -0.00371178
  34. price_ema100_diff - -0.00348953
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0872987
  38. ema_slope_21 - 0.0383277
  39. ema_slope_50 - -0.0121025
  40. ema_slope_100 - -0.0232008
  41. rsi - 0.582664
  42. adx - 0.214322
  43. kc_percentage - 0.89111
  44. kc_width_percentage - 0.0200458
  45. volume_ema_diff - 0.231399
  46. volume_ema1 - 54010.156562805
  47. volume_ema2 - 43860.806904803
  48. chop - 60.4908
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.141212
  52. ema21 - 0.140781
  53. ema50 - 0.140276
  54. ema100 - 0.140274
  55. price_ema9_diff - 0.00160882
  56. ema9_ema21_diff - 0.00306406
  57. ema21_ema50_diff - 0.00360323
  58. price_ema100_diff - 0.00830827
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.064965
  62. ema_slope_21 - 0.0475513
  63. ema_slope_50 - 0.0293263
  64. ema_slope_100 - 0.0123967
  65. rsi - 0.681394
  66. adx - 0.355581
  67. kc_percentage - 1.01881
  68. kc_width_percentage - 0.00857345
  69. volume_ema_diff - 0.211673
  70. volume_ema1 - 18972.565659123
  71. volume_ema2 - 15658.144732374
  72. chop - 28.1022
  73. regime - bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 107842
  77. 5m_price_ema100_diff: 0.00319741
  78. 5m_price: 108187
  79. 5m_correlation_with_coin: 0.666078
  80. btc_indicators
  81. 15m_ema100: 107980
  82. 15m_price_ema100_diff: 0.00216674
  83. 15m_price: 108214
  84. 15m_correlation_with_coin: 0.106976
  85. btc_indicators
  86. 1H_ema100: 108602
  87. 1H_price_ema100_diff: -0.00382219
  88. 1H_price: 108187
  89. 1H_correlation_with_coin: -0.119129
    90. ¸

📌 Time Data

Start at Closed at Duration
22 Oct 2025
22:53:58		 22 Oct 2025
23:20:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1414 0.1419 0.1405 1.8 0.09564
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 0.1414
  • Stop Loss: 0.1419
  • Take Profit: 0.1405

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1419 - 0.1414 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1414 - 0.1405 = 0.00089999999999998

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00089999999999998 / 0.0005 = 1.8

📌 Position Size

Amount Margin Quantity Leverage
2466.3673 100 17437.5515 24.66
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1414 = 2262.4

Donc, tu peux acheter 16000 avec un stoploss a 0.1419

Avec un position size USD de 2262.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.00089999999999998 = 14.4

Si Take Profit atteint, tu gagneras 14.4$

Résumé

  • Taille de position 16000
  • Taille de position USD 2262.4
  • Perte potentielle 8
  • Gain potentiel 14.4
  • Risk-Reward Ratio 1.8

📌 Peformances

TP % Target TP $ Target
0.64 % 15.69 $
SL % Target SL $ Target
0.35 % 8.72 $
PNL PNL %
-8.72 $ -0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3536 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1405
            [entry_price] => 0.1414
            [stop_loss] => 0.14195
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-22 23:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1405
            [entry_price] => 0.1414
            [stop_loss] => 0.142
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-22 23:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1405
            [entry_price] => 0.1414
            [stop_loss] => 0.14205
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-23 00:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1405
            [entry_price] => 0.1414
            [stop_loss] => 0.14215
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-23 00:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00015999999999999
            [max_drawdown] => 0.00094
            [rr_ratio] => 0.17
            [high] => 0.14234000
            [low] => 0.14124000
            [mfe_pct] => 0.11
            [mae_pct] => 0.66
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-10-22T22:53:58-04:00
            [end_at] => 2025-10-23T00:53:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00015999999999999
            [max_drawdown] => 0.00334
            [rr_ratio] => 0.05
            [high] => 0.14474000
            [low] => 0.14124000
            [mfe_pct] => 0.11
            [mae_pct] => 2.36
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-10-22T22:53:58-04:00
            [end_at] => 2025-10-23T05:53:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14197000
            [high_after] => 0.14474000
            [low_before] => 0.13784000
            [low_after] => 0.14124000
            [is_new_high] => 
            [is_new_low] => 
        )

)