Short Trade on CRV 06 Sep 2025 at 06:49:35

Take profit at 0.7508 (0.53 %) and Stop Loss at 0.7568 (0.26 %)

Short Trade on CRV

The 06 Sep 2025 at 06:49:35

With 4022.566 CRV at 0.7548$ per unit.

Position size of 3036.2328 $

Take profit at 0.7508 (0.53 %) and Stop Loss at 0.7568 (0.26 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.19
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.76
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.652658

15m : -0.010497

1H : -0.187849

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.001325853546
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.75457
  4. ema21 : 0.756537
  5. ema50 : 0.758862
  6. ema100 : 0.761271
  7. price_ema9_diff : 0.000303621
  8. ema9_ema21_diff : -0.0025993
  9. ema21_ema50_diff : -0.00306442
  10. price_ema100_diff : -0.00850108
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0642037
  14. ema_slope_21 : -0.0293411
  15. ema_slope_50 : -0.0198382
  16. ema_slope_100 : -0.0151269
  17. rsi : 0.480098
  18. adx : 0.112038
  19. kc_percentage : 0.433369
  20. kc_width_percentage : 0.0325671
  21. volume_ema_diff : -0.715507
  22. volume_ema1 : 136620.67958577
  23. volume_ema2 : 480226.05912731
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.752292
  28. ema21 : 0.75291
  29. ema50 : 0.755099
  30. ema100 : 0.756872
  31. price_ema9_diff : 0.0033336
  32. ema9_ema21_diff : -0.000821623
  33. ema21_ema50_diff : -0.00289848
  34. price_ema100_diff : -0.00273779
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0161228
  38. ema_slope_21 : -0.0232285
  39. ema_slope_50 : -0.0216026
  40. ema_slope_100 : -0.0147417
  41. rsi : 0.539696
  42. adx : 0.187465
  43. kc_percentage : 0.71682
  44. kc_width_percentage : 0.0120779
  45. volume_ema_diff : -0.573115
  46. volume_ema1 : 26535.565738751
  47. volume_ema2 : 62160.976211743
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 0.752465
  52. ema21 : 0.751674
  53. ema50 : 0.75226
  54. ema100 : 0.753883
  55. price_ema9_diff : 0.00310289
  56. ema9_ema21_diff : 0.00105225
  57. ema21_ema50_diff : -0.000779186
  58. price_ema100_diff : 0.00121526
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0285815
  62. ema_slope_21 : 0.00633798
  63. ema_slope_50 : -0.00432167
  64. ema_slope_100 : -0.00709296
  65. rsi : 0.653751
  66. adx : 0.233547
  67. kc_percentage : 1.05984
  68. kc_width_percentage : 0.00737229
  69. volume_ema_diff : 0.417413
  70. volume_ema1 : 15908.917227975
  71. volume_ema2 : 11223.908328091
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110761
  77. 5m_price_ema100_diff:
    -0.000567669
  78. 5m_price:
    110698
  79. 5m_correlation_with_coin:
    0.652658
  80. btc_indicators
  81. 15m_ema100:
    111091
  82. 15m_price_ema100_diff:
    -0.00354154
  83. 15m_price:
    110698
  84. 15m_correlation_with_coin:
    -0.010497
  85. btc_indicators
  86. 1H_ema100:
    110949
  87. 1H_price_ema100_diff:
    -0.00226385
  88. 1H_price:
    110698
  89. 1H_correlation_with_coin:
    -0.187849
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Sep 2025
06:49:35
06 Sep 2025
07:55:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7548 0.7568 0.7508 2 0.2409
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 0.7548
  • Stop Loss: 0.7568
  • Take Profit: 0.7508

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7568 - 0.7548 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7548 - 0.7508 = 0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.004 / 0.002 = 2

📌 Position Size

Amount Margin Quantity Leverage
3036.2328 100 4022.566 30.36
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.7548 = 3019.2

Donc, tu peux acheter 4000 avec un stoploss a 0.7568

Avec un position size USD de 3019.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.004 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4000
  • Taille de position USD 3019.2
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.53 % 16.09 $
SL % Target SL $ Target
0.26 % 8.05 $
PNL PNL %
-8.05 $ -0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3445 % 130 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7508
            [entry_price] => 0.7548
            [stop_loss] => 0.757
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-06 07:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7508
            [entry_price] => 0.7548
            [stop_loss] => 0.7572
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-06 07:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7508
            [entry_price] => 0.7548
            [stop_loss] => 0.7574
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-06 07:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7508
            [entry_price] => 0.7548
            [stop_loss] => 0.7578
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-06 08:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.0051
            [rr_ratio] => 0.22
            [high] => 0.75990000
            [low] => 0.75370000
            [mfe_pct] => 0.15
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2025-09-06T06:49:35-04:00
            [end_at] => 2025-09-06T08:49:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.0326
            [rr_ratio] => 0.03
            [high] => 0.78740000
            [low] => 0.75370000
            [mfe_pct] => 0.15
            [mae_pct] => 4.32
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 84
            [start_at] => 2025-09-06T06:49:35-04:00
            [end_at] => 2025-09-06T13:49:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.75650000
            [high_after] => 0.78740000
            [low_before] => 0.74780000
            [low_after] => 0.75370000
            [is_new_high] => 
            [is_new_low] => 
        )

)