Long Trade on MAV 29 Sep 2025 at 18:20:22

Take profit at 0.05951 (1.07 %) and Stop Loss at 0.05856 (0.54 %)

Long Trade on MAV

The 29 Sep 2025 at 18:20:22

With 25316.1672 MAV at 0.05888$ per unit.

Position size of 1490.6159 $

Take profit at 0.05951 (1.07 %) and Stop Loss at 0.05856 (0.54 %)

That's a 1.97 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.05
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.5
Prediction 3 Probability
0 0.73
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_high

5m_regime : bear_low

BTC Correlation Score

5m : 0.390935

15m : 0.046744

1H : 0.12646

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.0002106690672
Details
  1. score: 2.19
  2. 1H
  3. ema9 : 0.0591487
  4. ema21 : 0.0587267
  5. ema50 : 0.0584698
  6. ema100 : 0.0587182
  7. price_ema9_diff : -0.00454392
  8. ema9_ema21_diff : 0.00718607
  9. ema21_ema50_diff : 0.00439446
  10. price_ema100_diff : 0.00275546
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.150536
  14. ema_slope_21 : 0.120979
  15. ema_slope_50 : 0.0523072
  16. ema_slope_100 : 0.0124079
  17. rsi : 0.518824
  18. adx : 0.138017
  19. kc_percentage : 0.530294
  20. kc_width_percentage : 0.0712372
  21. volume_ema_diff : -0.192143
  22. volume_ema1 : 159727.58530535
  23. volume_ema2 : 197717.8291354
  24. chop : 50.3737
  25. regime : range_high
  26. ¸
  27. 15m
  28. ema9 : 0.0593744
  29. ema21 : 0.0593417
  30. ema50 : 0.059032
  31. ema100 : 0.0586281
  32. price_ema9_diff : -0.00832837
  33. ema9_ema21_diff : 0.000552159
  34. ema21_ema50_diff : 0.00524612
  35. price_ema100_diff : 0.00429562
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0211256
  39. ema_slope_21 : 0.0440285
  40. ema_slope_50 : 0.0429843
  41. ema_slope_100 : 0.0351074
  42. rsi : 0.432989
  43. adx : 0.157736
  44. kc_percentage : 0.223374
  45. kc_width_percentage : 0.0289306
  46. volume_ema_diff : -0.297069
  47. volume_ema1 : 41957.469672036
  48. volume_ema2 : 59689.3753226
  49. chop : 65.3786
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.0592395
  54. ema21 : 0.0594471
  55. ema50 : 0.059443
  56. ema100 : 0.0592898
  57. price_ema9_diff : -0.00606904
  58. ema9_ema21_diff : -0.00349238
  59. ema21_ema50_diff : 6.82986E-5
  60. price_ema100_diff : -0.00691244
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : -0.0658618
  64. ema_slope_21 : -0.0307923
  65. ema_slope_50 : -0.0030898
  66. ema_slope_100 : 0.0053368
  67. rsi : 0.327386
  68. adx : 0.220733
  69. kc_percentage : -0.190183
  70. kc_width_percentage : 0.0137674
  71. volume_ema_diff : -0.0466985
  72. volume_ema1 : 15948.469996391
  73. volume_ema2 : 16729.724203584
  74. chop : 36.8267
  75. regime : bear_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113952
  80. 5m_price_ema100_diff:
    0.000545037
  81. 5m_price:
    114014
  82. 5m_correlation_with_coin:
    0.390935
  83. btc_indicators
  84. 15m_ema100:
    112776
  85. 15m_price_ema100_diff:
    0.0109783
  86. 15m_price:
    114014
  87. 15m_correlation_with_coin:
    0.046744
  88. btc_indicators
  89. 1H_ema100:
    110805
  90. 1H_price_ema100_diff:
    0.0289606
  91. 1H_price:
    114014
  92. 1H_correlation_with_coin:
    0.12646
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
18:20:22
29 Sep 2025
18:25:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05888 0.05856 0.05951 1.97 0.01423
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 0.05888
  • Stop Loss: 0.05856
  • Take Profit: 0.05951

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05856 - 0.05888 = -0.00032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05888 - 0.05951 = -0.00063

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00063 / -0.00032 = 1.9687

📌 Position Size

Amount Margin Quantity Leverage
1490.6159 100 25316.1672 14.91
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 -0.00032

Taille de position = 8 / -0.00032 = -25000

Taille de position USD = -25000 x 0.05888 = -1472

Donc, tu peux acheter -25000 avec un stoploss a 0.05856

Avec un position size USD de -1472$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -25000 x -0.00032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -25000 x -0.00063 = 15.75

Si Take Profit atteint, tu gagneras 15.75$

Résumé

  • Taille de position -25000
  • Taille de position USD -1472
  • Perte potentielle 8
  • Gain potentiel 15.75
  • Risk-Reward Ratio 1.9687

📌 Peformances

TP % Target TP $ Target
1.07 % 15.95 $
SL % Target SL $ Target
0.54 % 8.1 $
PNL PNL %
-8.1 $ -0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8832 % 162.5 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05951
            [entry_price] => 0.05888
            [stop_loss] => 0.058528
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 18:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05951
            [entry_price] => 0.05888
            [stop_loss] => 0.058496
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 18:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05951
            [entry_price] => 0.05888
            [stop_loss] => 0.058464
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 18:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05951
            [entry_price] => 0.05888
            [stop_loss] => 0.0584
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 18:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -7.0000000000001E-5
            [max_drawdown] => 0.00172
            [rr_ratio] => -0.04
            [high] => 0.05881000
            [low] => 0.05716000
            [mfe_pct] => -0.12
            [mae_pct] => 2.92
            [mfe_mae_ratio] => -0.04
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T18:20:22-04:00
            [end_at] => 2025-09-29T20:20:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -7.0000000000001E-5
            [max_drawdown] => 0.00226
            [rr_ratio] => -0.03
            [high] => 0.05881000
            [low] => 0.05662000
            [mfe_pct] => -0.12
            [mae_pct] => 3.84
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T18:20:22-04:00
            [end_at] => 2025-09-30T01:20:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06006000
            [high_after] => 0.05881000
            [low_before] => 0.05858000
            [low_after] => 0.05662000
            [is_new_high] => 
            [is_new_low] => 
        )

)