Short Trade on 1000000MOG 20 Sep 2025 at 00:51:48

Take profit at 0.8885 (0.88 %) and Stop Loss at 0.9004 (0.45 %)

Short Trade on 1000000MOG

The 20 Sep 2025 at 00:51:48

With 2021.9695 1000000MOG at 0.8964$ per unit.

Position size of 1812.4934 $

Take profit at 0.8885 (0.88 %) and Stop Loss at 0.9004 (0.45 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 5.69
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.69
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.619018

15m : -0.052609

1H : -0.033342

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.00263769233
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.895758
  4. ema21 : 0.908873
  5. ema50 : 0.928336
  6. ema100 : 0.929998
  7. price_ema9_diff : 0.000716572
  8. ema9_ema21_diff : -0.0144306
  9. ema21_ema50_diff : -0.0209646
  10. price_ema100_diff : -0.0361276
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.2248
  14. ema_slope_21 : -0.262287
  15. ema_slope_50 : -0.176764
  16. ema_slope_100 : -0.0820149
  17. rsi : 0.395194
  18. adx : 0.452913
  19. kc_percentage : 0.278296
  20. kc_width_percentage : 0.0570606
  21. volume_ema_diff : -0.552712
  22. volume_ema1 : 91604.960103848
  23. volume_ema2 : 204801.02461676
  24. chop : 62.893
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.891362
  29. ema21 : 0.89153
  30. ema50 : 0.897408
  31. ema100 : 0.907323
  32. price_ema9_diff : 0.00565169
  33. ema9_ema21_diff : -0.000188508
  34. ema21_ema50_diff : -0.00654979
  35. price_ema100_diff : -0.0120394
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.00513968
  39. ema_slope_21 : -0.0262906
  40. ema_slope_50 : -0.0436587
  41. ema_slope_100 : -0.0439943
  42. rsi : 0.553711
  43. adx : 0.264991
  44. kc_percentage : 0.73696
  45. kc_width_percentage : 0.0235004
  46. volume_ema_diff : -0.69081
  47. volume_ema1 : 10567.737011193
  48. volume_ema2 : 34178.796430601
  49. chop : 59.3214
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.89241
  54. ema21 : 0.89056
  55. ema50 : 0.890622
  56. ema100 : 0.893527
  57. price_ema9_diff : 0.0044705
  58. ema9_ema21_diff : 0.00207677
  59. ema21_ema50_diff : -6.93429E-5
  60. price_ema100_diff : 0.00321427
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0288059
  64. ema_slope_21 : 0.0123568
  65. ema_slope_50 : -0.000484769
  66. ema_slope_100 : -0.00811814
  67. rsi : 0.639166
  68. adx : 0.214565
  69. kc_percentage : 1.05606
  70. kc_width_percentage : 0.0115748
  71. volume_ema_diff : -0.0815976
  72. volume_ema1 : 6432.0751794767
  73. volume_ema2 : 7003.5484088088
  74. chop : 40.9323
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    115470
  80. 5m_price_ema100_diff:
    0.000194204
  81. 5m_price:
    115493
  82. 5m_correlation_with_coin:
    0.619018
  83. btc_indicators
  84. 15m_ema100:
    115858
  85. 15m_price_ema100_diff:
    -0.00315883
  86. 15m_price:
    115493
  87. 15m_correlation_with_coin:
    -0.052609
  88. btc_indicators
  89. 1H_ema100:
    116150
  90. 1H_price_ema100_diff:
    -0.00565818
  91. 1H_price:
    115493
  92. 1H_correlation_with_coin:
    -0.033342
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Sep 2025
00:51:48
20 Sep 2025
01:35:00
43 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8964 0.9004 0.8885 1.98 0.1573
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 0.8964
  • Stop Loss: 0.9004
  • Take Profit: 0.8885

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9004 - 0.8964 = 0.004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8964 - 0.8885 = 0.0079

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0079 / 0.004 = 1.975

📌 Position Size

Amount Margin Quantity Leverage
1812.4934 100 2021.9695 18.12
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 0.004

Taille de position = 8 / 0.004 = 2000

Taille de position USD = 2000 x 0.8964 = 1792.8

Donc, tu peux acheter 2000 avec un stoploss a 0.9004

Avec un position size USD de 1792.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2000 x 0.004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2000 x 0.0079 = 15.8

Si Take Profit atteint, tu gagneras 15.8$

Résumé

  • Taille de position 2000
  • Taille de position USD 1792.8
  • Perte potentielle 8
  • Gain potentiel 15.8
  • Risk-Reward Ratio 1.975

📌 Peformances

TP % Target TP $ Target
0.88 % 15.97 $
SL % Target SL $ Target
0.45 % 8.09 $
PNL PNL %
-8.09 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4462 % 100 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.8885
            [entry_price] => 0.8964
            [stop_loss] => 0.9008
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 04:50:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.8885
            [entry_price] => 0.8964
            [stop_loss] => 0.9012
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 04:50:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.8885
            [entry_price] => 0.8964
            [stop_loss] => 0.9016
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 04:50:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.8885
            [entry_price] => 0.8964
            [stop_loss] => 0.9024
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 04:50:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0029
            [max_drawdown] => 0.0042
            [rr_ratio] => 0.69
            [high] => 0.90060000
            [low] => 0.89350000
            [mfe_pct] => 0.32
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 0.69
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T00:51:48-04:00
            [end_at] => 2025-09-20T02:51:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.024
            [max_drawdown] => 0.0042
            [rr_ratio] => 5.71
            [high] => 0.90060000
            [low] => 0.87240000
            [mfe_pct] => 2.68
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 5.71
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T00:51:48-04:00
            [end_at] => 2025-09-20T07:51:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.89810000
            [high_after] => 0.90060000
            [low_before] => 0.88000000
            [low_after] => 0.87240000
            [is_new_high] => 
            [is_new_low] => 1
        )

)