Short Trade on MAV 10 Sep 2025 at 21:50:21

Take profit at 0.06378 (0.92 %) and Stop Loss at 0.06466 (0.45 %)

Short Trade on MAV

The 10 Sep 2025 at 21:50:21

With 27182.1374 MAV at 0.06437$ per unit.

Position size of 1749.7142 $

Take profit at 0.06378 (0.92 %) and Stop Loss at 0.06466 (0.45 %)

That's a 2.03 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.74
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.6
Prediction 3 Probability
0 0.6
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low

BTC Correlation Score

5m : 0.252612

15m : -0.018759

1H : -0.072953

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0001962072831
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.0645051
  4. ema21 : 0.0653457
  5. ema50 : 0.0674776
  6. ema100 : 0.0706144
  7. price_ema9_diff : -0.00209463
  8. ema9_ema21_diff : -0.0128645
  9. ema21_ema50_diff : -0.0315943
  10. price_ema100_diff : -0.0884303
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.215708
  14. ema_slope_21 : -0.157128
  15. ema_slope_50 : -0.186169
  16. ema_slope_100 : -0.174101
  17. rsi : 0.401354
  18. adx : 0.258751
  19. kc_percentage : 0.29172
  20. kc_width_percentage : 0.068016
  21. volume_ema_diff : -0.468164
  22. volume_ema1 : 153542.56243053
  23. volume_ema2 : 288702.966323
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0639877
  28. ema21 : 0.0641386
  29. ema50 : 0.0647615
  30. ema100 : 0.0651975
  31. price_ema9_diff : 0.00597408
  32. ema9_ema21_diff : -0.00235301
  33. ema21_ema50_diff : -0.00961901
  34. price_ema100_diff : -0.0126931
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0302152
  38. ema_slope_21 : -0.0688401
  39. ema_slope_50 : -0.0712029
  40. ema_slope_100 : -0.0466425
  41. rsi : 0.508463
  42. adx : 0.398174
  43. kc_percentage : 0.645375
  44. kc_width_percentage : 0.027166
  45. volume_ema_diff : -0.556977
  46. volume_ema1 : 26945.221352173
  47. volume_ema2 : 60821.29528805
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.064126
  52. ema21 : 0.0639655
  53. ema50 : 0.0640255
  54. ema100 : 0.064402
  55. price_ema9_diff : 0.00380481
  56. ema9_ema21_diff : 0.00250826
  57. ema21_ema50_diff : -0.000936408
  58. price_ema100_diff : -0.00049736
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0470193
  62. ema_slope_21 : 0.0224173
  63. ema_slope_50 : -0.00266423
  64. ema_slope_100 : -0.0150516
  65. rsi : 0.66521
  66. adx : 0.242812
  67. kc_percentage : 1.01483
  68. kc_width_percentage : 0.0120255
  69. volume_ema_diff : 0.0167498
  70. volume_ema1 : 11683.237017733
  71. volume_ema2 : 11490.767868666
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113721
  77. 5m_price_ema100_diff:
    0.000711975
  78. 5m_price:
    113802
  79. 5m_correlation_with_coin:
    0.252612
  80. btc_indicators
  81. 15m_ema100:
    113012
  82. 15m_price_ema100_diff:
    0.00698941
  83. 15m_price:
    113802
  84. 15m_correlation_with_coin:
    -0.018759
  85. btc_indicators
  86. 1H_ema100:
    111967
  87. 1H_price_ema100_diff:
    0.0163904
  88. 1H_price:
    113802
  89. 1H_correlation_with_coin:
    -0.072953
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
21:50:21
10 Sep 2025
23:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06437 0.06466 0.06378 2.03 0.01454
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 0.06437
  • Stop Loss: 0.06466
  • Take Profit: 0.06378

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06466 - 0.06437 = 0.00029

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06437 - 0.06378 = 0.00058999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00058999999999999 / 0.00029 = 2.0345

📌 Position Size

Amount Margin Quantity Leverage
1749.7142 100 27182.1374 17.50
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 0.00029

Taille de position = 8 / 0.00029 = 27586.21

Taille de position USD = 27586.21 x 0.06437 = 1775.72

Donc, tu peux acheter 27586.21 avec un stoploss a 0.06466

Avec un position size USD de 1775.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 27586.21 x 0.00029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 27586.21 x 0.00058999999999999 = 16.28

Si Take Profit atteint, tu gagneras 16.28$

Résumé

  • Taille de position 27586.21
  • Taille de position USD 1775.72
  • Perte potentielle 8
  • Gain potentiel 16.28
  • Risk-Reward Ratio 2.0345

📌 Peformances

TP % Target TP $ Target
0.92 % 16.04 $
SL % Target SL $ Target
0.45 % 7.88 $
PNL PNL %
-7.88 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6835 % 151.72 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06378
            [entry_price] => 0.06437
            [stop_loss] => 0.064689
            [rr_ratio] => 1.85
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 23:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06378
            [entry_price] => 0.06437
            [stop_loss] => 0.064718
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 23:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06378
            [entry_price] => 0.06437
            [stop_loss] => 0.064747
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 23:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06378
            [entry_price] => 0.06437
            [stop_loss] => 0.064805
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 23:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00032
            [max_drawdown] => 0.00044000000000001
            [rr_ratio] => 0.73
            [high] => 0.06481000
            [low] => 0.06405000
            [mfe_pct] => 0.5
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 0.73
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T21:50:21-04:00
            [end_at] => 2025-09-10T23:50:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00111
            [max_drawdown] => 0.00435
            [rr_ratio] => 0.26
            [high] => 0.06872000
            [low] => 0.06326000
            [mfe_pct] => 1.72
            [mae_pct] => 6.76
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T21:50:21-04:00
            [end_at] => 2025-09-11T04:50:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06452000
            [high_after] => 0.06798000
            [low_before] => 0.06337000
            [low_after] => 0.06326000
            [is_new_high] => 
            [is_new_low] => 1
        )

)