Long Trade on MAV 15 Sep 2025 at 00:16:40

Take profit at 0.07463 (2.13 %) and Stop Loss at 0.07229 (1.07 %)

Long Trade on MAV

The 15 Sep 2025 at 00:16:40

With 10276.3275 MAV at 0.07307$ per unit.

Position size of 750.8913 $

Take profit at 0.07463 (2.13 %) and Stop Loss at 0.07229 (1.07 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.5
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.56
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.12948

15m : 0.096741

1H : -0.154582

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0005189921508
Details
  1. score: 2.02
  2. 1H
  3. ema9 : 0.0736322
  4. ema21 : 0.0727454
  5. ema50 : 0.0715238
  6. ema100 : 0.0701526
  7. price_ema9_diff : -0.00763531
  8. ema9_ema21_diff : 0.0121904
  9. ema21_ema50_diff : 0.0170794
  10. price_ema100_diff : 0.0415851
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.285908
  14. ema_slope_21 : 0.226764
  15. ema_slope_50 : 0.146343
  16. ema_slope_100 : 0.108518
  17. rsi : 0.5283
  18. adx : 0.261636
  19. kc_percentage : 0.536252
  20. kc_width_percentage : 0.0984732
  21. volume_ema_diff : -0.169039
  22. volume_ema1 : 320529.8242471
  23. volume_ema2 : 385734.25526056
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.0739171
  28. ema21 : 0.0738822
  29. ema50 : 0.0732287
  30. ema100 : 0.0722361
  31. price_ema9_diff : -0.0114611
  32. ema9_ema21_diff : 0.000472858
  33. ema21_ema50_diff : 0.00892428
  34. price_ema100_diff : 0.0115434
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0514134
  38. ema_slope_21 : 0.0658328
  39. ema_slope_50 : 0.0710405
  40. ema_slope_100 : 0.0638153
  41. rsi : 0.444196
  42. adx : 0.230107
  43. kc_percentage : 0.287317
  44. kc_width_percentage : 0.0533541
  45. volume_ema_diff : -0.65017
  46. volume_ema1 : 41529.858914692
  47. volume_ema2 : 118714.64427683
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.0737314
  52. ema21 : 0.0740758
  53. ema50 : 0.0740692
  54. ema100 : 0.0737017
  55. price_ema9_diff : -0.00897121
  56. ema9_ema21_diff : -0.00464937
  57. ema21_ema50_diff : 8.86911E-5
  58. price_ema100_diff : -0.00857141
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.126659
  62. ema_slope_21 : -0.059123
  63. ema_slope_50 : -0.0110557
  64. ema_slope_100 : 0.00726605
  65. rsi : 0.371086
  66. adx : 0.194805
  67. kc_percentage : -0.0154745
  68. kc_width_percentage : 0.0263737
  69. volume_ema_diff : -0.611065
  70. volume_ema1 : 12634.928974712
  71. volume_ema2 : 32485.99980773
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115409
  77. 5m_price_ema100_diff:
    0.000349725
  78. 5m_price:
    115449
  79. 5m_correlation_with_coin:
    0.12948
  80. btc_indicators
  81. 15m_ema100:
    115518
  82. 15m_price_ema100_diff:
    -0.00059268
  83. 15m_price:
    115449
  84. 15m_correlation_with_coin:
    0.096741
  85. btc_indicators
  86. 1H_ema100:
    115273
  87. 1H_price_ema100_diff:
    0.0015327
  88. 1H_price:
    115449
  89. 1H_correlation_with_coin:
    -0.154582
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
00:16:40
15 Sep 2025
01:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07307 0.07229 0.07463 2 0.01444
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 0.07307
  • Stop Loss: 0.07229
  • Take Profit: 0.07463

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07229 - 0.07307 = -0.00078

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07307 - 0.07463 = -0.00156

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00156 / -0.00078 = 2

📌 Position Size

Amount Margin Quantity Leverage
750.8913 100 10276.3275 7.51
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 -0.00078

Taille de position = 8 / -0.00078 = -10256.41

Taille de position USD = -10256.41 x 0.07307 = -749.44

Donc, tu peux acheter -10256.41 avec un stoploss a 0.07229

Avec un position size USD de -749.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10256.41 x -0.00078 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10256.41 x -0.00156 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -10256.41
  • Taille de position USD -749.44
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.13 % 16.03 $
SL % Target SL $ Target
1.07 % 8.02 $
PNL PNL %
-8.02 $ -1.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5601 % 146.15 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07463
            [entry_price] => 0.07307
            [stop_loss] => 0.072212
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 01:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07463
            [entry_price] => 0.07307
            [stop_loss] => 0.072134
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 01:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07463
            [entry_price] => 0.07307
            [stop_loss] => 0.072056
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 01:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07463
            [entry_price] => 0.07307
            [stop_loss] => 0.0719
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 01:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00082
            [max_drawdown] => 0.00161
            [rr_ratio] => 0.51
            [high] => 0.07389000
            [low] => 0.07146000
            [mfe_pct] => 1.12
            [mae_pct] => 2.2
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T00:16:40-04:00
            [end_at] => 2025-09-15T02:16:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00082
            [max_drawdown] => 0.00523
            [rr_ratio] => 0.16
            [high] => 0.07389000
            [low] => 0.06784000
            [mfe_pct] => 1.12
            [mae_pct] => 7.16
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T00:16:40-04:00
            [end_at] => 2025-09-15T07:16:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07595000
            [high_after] => 0.07389000
            [low_before] => 0.07229000
            [low_after] => 0.06784000
            [is_new_high] => 
            [is_new_low] => 
        )

)