Short Trade on 1000000MOG 23 Sep 2025 at 07:59:59

Take profit at 0.687 (1.67 %) and Stop Loss at 0.7045 (0.83 %)

Short Trade on 1000000MOG

The 23 Sep 2025 at 07:59:59

With 1367.9372 1000000MOG at 0.6987$ per unit.

Position size of 955.7777 $

Take profit at 0.687 (1.67 %) and Stop Loss at 0.7045 (0.83 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.84
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.51
Prediction 2 Probability
0 0.56
Prediction 3 Probability
1 0.71
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium_confirmed

BTC Correlation Score

5m : 0.359879

15m : 0.038531

1H : 0.119912

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.3
  4. atr: 0.003898814408
Details
  1. score: 1.3
  2. 1H
  3. ema9 : 0.689312
  4. ema21 : 0.708645
  5. ema50 : 0.756679
  6. ema100 : 0.807876
  7. price_ema9_diff : 0.0136192
  8. ema9_ema21_diff : -0.0272818
  9. ema21_ema50_diff : -0.0634802
  10. price_ema100_diff : -0.13514
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.556043
  14. ema_slope_21 : -0.537733
  15. ema_slope_50 : -0.451774
  16. ema_slope_100 : -0.326188
  17. rsi : 0.418268
  18. adx : 0.592746
  19. kc_percentage : 0.376804
  20. kc_width_percentage : 0.0943784
  21. volume_ema_diff : -0.184605
  22. volume_ema1 : 231478.4468388
  23. volume_ema2 : 283885.0472724
  24. chop : 36.0535
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.683743
  29. ema21 : 0.683526
  30. ema50 : 0.692692
  31. ema100 : 0.7079
  32. price_ema9_diff : 0.0218737
  33. ema9_ema21_diff : 0.00031829
  34. ema21_ema50_diff : -0.0132325
  35. price_ema100_diff : -0.0129967
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.031375
  39. ema_slope_21 : -0.0404518
  40. ema_slope_50 : -0.0823888
  41. ema_slope_100 : -0.0840026
  42. rsi : 0.604163
  43. adx : 0.238734
  44. kc_percentage : 1.135
  45. kc_width_percentage : 0.0345195
  46. volume_ema_diff : -0.197619
  47. volume_ema1 : 48405.848744798
  48. volume_ema2 : 60327.813061519
  49. chop : 47.9922
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.689929
  54. ema21 : 0.685048
  55. ema50 : 0.683133
  56. ema100 : 0.683167
  57. price_ema9_diff : 0.0127121
  58. ema9_ema21_diff : 0.00712499
  59. ema21_ema50_diff : 0.00280267
  60. price_ema100_diff : 0.0227356
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.152689
  64. ema_slope_21 : 0.0776941
  65. ema_slope_50 : 0.0268997
  66. ema_slope_100 : 0.0101585
  67. rsi : 0.781531
  68. adx : 0.309149
  69. kc_percentage : 1.30202
  70. kc_width_percentage : 0.0239972
  71. volume_ema_diff : 1.26419
  72. volume_ema1 : 41742.821941624
  73. volume_ema2 : 18436.085460741
  74. chop : 17.3775
  75. regime : bull_medium_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112765
  80. 5m_price_ema100_diff:
    0.00119045
  81. 5m_price:
    112899
  82. 5m_correlation_with_coin:
    0.359879
  83. btc_indicators
  84. 15m_ema100:
    112688
  85. 15m_price_ema100_diff:
    0.00205218
  86. 15m_price:
    112920
  87. 15m_correlation_with_coin:
    0.038531
  88. btc_indicators
  89. 1H_ema100:
    114349
  90. 1H_price_ema100_diff:
    -0.0126834
  91. 1H_price:
    112899
  92. 1H_correlation_with_coin:
    0.119912
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Sep 2025
07:59:59
23 Sep 2025
08:05:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6987 0.7045 0.687 2.02 0.1661
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 0.6987
  • Stop Loss: 0.7045
  • Take Profit: 0.687

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7045 - 0.6987 = 0.0058

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6987 - 0.687 = 0.0117

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0117 / 0.0058 = 2.0172

📌 Position Size

Amount Margin Quantity Leverage
955.7777 100 1367.9372 9.56
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 0.0058

Taille de position = 8 / 0.0058 = 1379.31

Taille de position USD = 1379.31 x 0.6987 = 963.72

Donc, tu peux acheter 1379.31 avec un stoploss a 0.7045

Avec un position size USD de 963.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1379.31 x 0.0058 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1379.31 x 0.0117 = 16.14

Si Take Profit atteint, tu gagneras 16.14$

Résumé

  • Taille de position 1379.31
  • Taille de position USD 963.72
  • Perte potentielle 8
  • Gain potentiel 16.14
  • Risk-Reward Ratio 2.0172

📌 Peformances

TP % Target TP $ Target
1.67 % 16 $
SL % Target SL $ Target
0.83 % 7.93 $
PNL PNL %
-7.93 $ -0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0448 % 125.86 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.687
            [entry_price] => 0.6987
            [stop_loss] => 0.70508
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 08:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.687
            [entry_price] => 0.6987
            [stop_loss] => 0.70566
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 08:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.687
            [entry_price] => 0.6987
            [stop_loss] => 0.70624
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 08:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.687
            [entry_price] => 0.6987
            [stop_loss] => 0.7074
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 08:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.0105
            [rr_ratio] => 0.13
            [high] => 0.70920000
            [low] => 0.69730000
            [mfe_pct] => 0.2
            [mae_pct] => 1.5
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T07:59:59-04:00
            [end_at] => 2025-09-23T09:59:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0251
            [max_drawdown] => 0.0204
            [rr_ratio] => 1.23
            [high] => 0.71910000
            [low] => 0.67360000
            [mfe_pct] => 3.59
            [mae_pct] => 2.92
            [mfe_mae_ratio] => 1.23
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T07:59:59-04:00
            [end_at] => 2025-09-23T14:59:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.70500000
            [high_after] => 0.71910000
            [low_before] => 0.67000000
            [low_after] => 0.67360000
            [is_new_high] => 
            [is_new_low] => 
        )

)