Short Trade on CRO 14 Sep 2025 at 12:48:14

Take profit at 0.238 (0.87 %) and Stop Loss at 0.2411 (0.42 %)

Short Trade on CRO

The 14 Sep 2025 at 12:48:14

With 7825.7991 CRO at 0.2401$ per unit.

Position size of 1878.7396 $

Take profit at 0.238 (0.87 %) and Stop Loss at 0.2411 (0.42 %)

That's a 2.1 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 3.76
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.58
Prediction 3 Probability
0 0.71
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.437346

15m : -0.170627

1H : -0.044288

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0006815065454
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.240943
  4. ema21 : 0.244375
  5. ema50 : 0.248784
  6. ema100 : 0.25223
  7. price_ema9_diff : -0.00362431
  8. ema9_ema21_diff : -0.0140469
  9. ema21_ema50_diff : -0.0177185
  10. price_ema100_diff : -0.0482112
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.243945
  14. ema_slope_21 : -0.194586
  15. ema_slope_50 : -0.132049
  16. ema_slope_100 : -0.0861033
  17. rsi : 0.337729
  18. adx : 0.452024
  19. kc_percentage : 0.124364
  20. kc_width_percentage : 0.0452196
  21. volume_ema_diff : -0.0629477
  22. volume_ema1 : 760808.5637289
  23. volume_ema2 : 811916.87223698
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.238868
  28. ema21 : 0.239694
  29. ema50 : 0.242354
  30. ema100 : 0.24514
  31. price_ema9_diff : 0.00502904
  32. ema9_ema21_diff : -0.00344577
  33. ema21_ema50_diff : -0.0109732
  34. price_ema100_diff : -0.0206858
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0834875
  38. ema_slope_21 : -0.109456
  39. ema_slope_50 : -0.0912791
  40. ema_slope_100 : -0.0659766
  41. rsi : 0.485209
  42. adx : 0.456155
  43. kc_percentage : 0.596454
  44. kc_width_percentage : 0.0206152
  45. volume_ema_diff : -0.453206
  46. volume_ema1 : 104982.18272614
  47. volume_ema2 : 191996.00881691
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.239243
  52. ema21 : 0.238551
  53. ema50 : 0.239102
  54. ema100 : 0.240809
  55. price_ema9_diff : 0.00345543
  56. ema9_ema21_diff : 0.00289853
  57. ema21_ema50_diff : -0.00230095
  58. price_ema100_diff : -0.00306922
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0793019
  62. ema_slope_21 : 0.0421556
  63. ema_slope_50 : -0.00303306
  64. ema_slope_100 : -0.0178521
  65. rsi : 0.667292
  66. adx : 0.314181
  67. kc_percentage : 1.07745
  68. kc_width_percentage : 0.0107868
  69. volume_ema_diff : -0.463267
  70. volume_ema1 : 35469.820327315
  71. volume_ema2 : 66084.732595768
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115541
  77. 5m_price_ema100_diff:
    -0.000993313
  78. 5m_price:
    115427
  79. 5m_correlation_with_coin:
    0.437346
  80. btc_indicators
  81. 15m_ema100:
    115645
  82. 15m_price_ema100_diff:
    -0.00188643
  83. 15m_price:
    115427
  84. 15m_correlation_with_coin:
    -0.170627
  85. btc_indicators
  86. 1H_ema100:
    115224
  87. 1H_price_ema100_diff:
    0.00175686
  88. 1H_price:
    115427
  89. 1H_correlation_with_coin:
    -0.044288
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
12:48:14
14 Sep 2025
13:25:00
36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2401 0.2411 0.238 2.1 0.07635
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 0.2401
  • Stop Loss: 0.2411
  • Take Profit: 0.238

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2411 - 0.2401 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2401 - 0.238 = 0.0021

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0021 / 0.001 = 2.1

📌 Position Size

Amount Margin Quantity Leverage
1878.7396 100 7825.7991 18.79
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.2401 = 1920.8

Donc, tu peux acheter 8000 avec un stoploss a 0.2411

Avec un position size USD de 1920.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0021 = 16.8

Si Take Profit atteint, tu gagneras 16.8$

Résumé

  • Taille de position 8000
  • Taille de position USD 1920.8
  • Perte potentielle 8
  • Gain potentiel 16.8
  • Risk-Reward Ratio 2.1

📌 Peformances

TP % Target TP $ Target
0.87 % 16.43 $
SL % Target SL $ Target
0.42 % 7.83 $
PNL PNL %
-7.82 $ -0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4956 % 118.99 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.238
            [entry_price] => 0.2401
            [stop_loss] => 0.2412
            [rr_ratio] => 1.91
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-14 13:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.238
            [entry_price] => 0.2401
            [stop_loss] => 0.2413
            [rr_ratio] => 1.75
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-14 14:45:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.238
            [entry_price] => 0.2401
            [stop_loss] => 0.2414
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-14 14:45:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.238
            [entry_price] => 0.2401
            [stop_loss] => 0.2416
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-14 14:45:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00235
            [max_drawdown] => 0.00119
            [rr_ratio] => 1.97
            [high] => 0.24129000
            [low] => 0.23775000
            [mfe_pct] => 0.98
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 1.97
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T12:48:14-04:00
            [end_at] => 2025-09-14T14:48:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00433
            [max_drawdown] => 0.00119
            [rr_ratio] => 3.64
            [high] => 0.24129000
            [low] => 0.23577000
            [mfe_pct] => 1.8
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 3.64
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T12:48:14-04:00
            [end_at] => 2025-09-14T19:48:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24195000
            [high_after] => 0.24129000
            [low_before] => 0.23521000
            [low_after] => 0.23643000
            [is_new_high] => 
            [is_new_low] => 
        )

)