Long Trade on YALA 13 Sep 2025 at 20:54:01

Take profit at 0.1775 (3.26 %) and Stop Loss at 0.1691 (1.63 %)

Long Trade on YALA

The 13 Sep 2025 at 20:54:01

With 2857.4335 YALA at 0.1719$ per unit.

Position size of 491.1928 $

Take profit at 0.1775 (3.26 %) and Stop Loss at 0.1691 (1.63 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.06
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.67
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bear_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.174225

15m : -0.016008

1H : -0.028262

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.00186647682
Details
  1. score: 2
  2. 1H
  3. ema9 : 0.17625
  4. ema21 : 0.171248
  5. ema50 : 0.160283
  6. ema100 : 0.153804
  7. price_ema9_diff : -0.0246815
  8. ema9_ema21_diff : 0.0292067
  9. ema21_ema50_diff : 0.0684125
  10. price_ema100_diff : 0.117653
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0994355
  14. ema_slope_21 : 0.53199
  15. ema_slope_50 : 0.527231
  16. ema_slope_100 : 0.333751
  17. rsi : 0.541077
  18. adx : 0.458544
  19. kc_percentage : 0.504291
  20. kc_width_percentage : 0.192655
  21. volume_ema_diff : -0.357228
  22. volume_ema1 : 251894.66476621
  23. volume_ema2 : 391888.25698829
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.175969
  28. ema21 : 0.177082
  29. ema50 : 0.175604
  30. ema100 : 0.169641
  31. price_ema9_diff : -0.0231246
  32. ema9_ema21_diff : -0.00628487
  33. ema21_ema50_diff : 0.00841598
  34. price_ema100_diff : 0.0133128
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.16883
  38. ema_slope_21 : -0.0354742
  39. ema_slope_50 : 0.0460679
  40. ema_slope_100 : 0.10366
  41. rsi : 0.372298
  42. adx : 0.162699
  43. kc_percentage : 0.0979561
  44. kc_width_percentage : 0.0747487
  45. volume_ema_diff : -0.492468
  46. volume_ema1 : 48834.72284926
  47. volume_ema2 : 96220.081855115
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.173738
  52. ema21 : 0.175776
  53. ema50 : 0.177122
  54. ema100 : 0.176523
  55. price_ema9_diff : -0.0105813
  56. ema9_ema21_diff : -0.0115923
  57. ema21_ema50_diff : -0.00760426
  58. price_ema100_diff : -0.0261914
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.234455
  62. ema_slope_21 : -0.152153
  63. ema_slope_50 : -0.0700637
  64. ema_slope_100 : -0.021411
  65. rsi : 0.358146
  66. adx : 0.318695
  67. kc_percentage : -0.0027265
  68. kc_width_percentage : 0.0435246
  69. volume_ema_diff : -0.13788
  70. volume_ema1 : 16794.9024022
  71. volume_ema2 : 19480.942721821
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115753
  77. 5m_price_ema100_diff:
    0.000375004
  78. 5m_price:
    115796
  79. 5m_correlation_with_coin:
    0.174225
  80. btc_indicators
  81. 15m_ema100:
    115798
  82. 15m_price_ema100_diff:
    0.000395937
  83. 15m_price:
    115844
  84. 15m_correlation_with_coin:
    -0.016008
  85. btc_indicators
  86. 1H_ema100:
    114590
  87. 1H_price_ema100_diff:
    0.0105244
  88. 1H_price:
    115796
  89. 1H_correlation_with_coin:
    -0.028262
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
20:54:01
13 Sep 2025
21:00:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1719 0.1691 0.1775 2 0.01878
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 0.1719
  • Stop Loss: 0.1691
  • Take Profit: 0.1775

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1691 - 0.1719 = -0.0028

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1719 - 0.1775 = -0.0056

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0056 / -0.0028 = 2

📌 Position Size

Amount Margin Quantity Leverage
491.1928 100 2857.4335 4.91
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 -0.0028

Taille de position = 8 / -0.0028 = -2857.14

Taille de position USD = -2857.14 x 0.1719 = -491.14

Donc, tu peux acheter -2857.14 avec un stoploss a 0.1691

Avec un position size USD de -491.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2857.14 x -0.0028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2857.14 x -0.0056 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -2857.14
  • Taille de position USD -491.14
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.26 % 16 $
SL % Target SL $ Target
1.63 % 8 $
PNL PNL %
-8 $ -1.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3851 % 146.42 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1775
            [entry_price] => 0.1719
            [stop_loss] => 0.16882
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 21:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1775
            [entry_price] => 0.1719
            [stop_loss] => 0.16854
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 21:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1775
            [entry_price] => 0.1719
            [stop_loss] => 0.16826
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 21:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1775
            [entry_price] => 0.1719
            [stop_loss] => 0.1677
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 21:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.0311
            [rr_ratio] => 0.04
            [high] => 0.17310000
            [low] => 0.14080000
            [mfe_pct] => 0.7
            [mae_pct] => 18.09
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T20:54:01-04:00
            [end_at] => 2025-09-13T22:54:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.0311
            [rr_ratio] => 0.04
            [high] => 0.17310000
            [low] => 0.14080000
            [mfe_pct] => 0.7
            [mae_pct] => 18.09
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T20:54:01-04:00
            [end_at] => 2025-09-14T03:54:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.18460000
            [high_after] => 0.17310000
            [low_before] => 0.17010000
            [low_after] => 0.14080000
            [is_new_high] => 
            [is_new_low] => 
        )

)