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Short Trade on PEAQ

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Short Trade on PEAQ 24 Sep 2025 at 00:55:48

Take profit at 0.1092 (1.62 %) and Stop Loss at 0.1119 (0.81 %)

Short Trade on PEAQ

The 24 Sep 2025 at 00:55:48

With 8800.7608 PEAQ at 0.111$ per unit.

Position size of 976.8844 $

Take profit at 0.1092 (1.62 %) and Stop Loss at 0.1119 (0.81 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.15
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.68
Prediction 3 Probability
0 0.56
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.487939

15m : -0.079281

1H : 0.117326

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0006060082151
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.111554
  4. ema21 : 0.113213
  5. ema50 : 0.114989
  6. ema100 : 0.116178
  7. price_ema9_diff : -0.00497399
  8. ema9_ema21_diff : -0.0146498
  9. ema21_ema50_diff : -0.0154467
  10. price_ema100_diff : -0.0445733
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.495885
  14. ema_slope_21 : -0.240116
  15. ema_slope_50 : -0.132311
  16. ema_slope_100 : -0.0784415
  17. rsi : 0.437312
  18. adx : 0.166855
  19. kc_percentage : 0.330348
  20. kc_width_percentage : 0.112778
  21. volume_ema_diff : -0.443035
  22. volume_ema1 : 161391.50426407
  23. volume_ema2 : 289769.78728211
  24. chop : 44.4687
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.109797
  28. ema21 : 0.110447
  29. ema50 : 0.112203
  30. ema100 : 0.113111
  31. price_ema9_diff : 0.0109526
  32. ema9_ema21_diff : -0.0058816
  33. ema21_ema50_diff : -0.0156529
  34. price_ema100_diff : -0.0186704
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.12082
  38. ema_slope_21 : -0.125612
  39. ema_slope_50 : -0.113747
  40. ema_slope_100 : -0.0676574
  41. rsi : 0.470345
  42. adx : 0.342713
  43. kc_percentage : 0.638412
  44. kc_width_percentage : 0.0404933
  45. volume_ema_diff : -0.00979996
  46. volume_ema1 : 44591.397236337
  47. volume_ema2 : 45032.716087755
  48. chop : 47.445
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.109955
  52. ema21 : 0.109612
  53. ema50 : 0.110032
  54. ema100 : 0.110715
  55. price_ema9_diff : 0.0094956
  56. ema9_ema21_diff : 0.00313484
  57. ema21_ema50_diff : -0.00382226
  58. price_ema100_diff : 0.00257037
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.074244
  62. ema_slope_21 : 0.000832759
  63. ema_slope_50 : -0.0285433
  64. ema_slope_100 : -0.0278496
  65. rsi : 0.633278
  66. adx : 0.357537
  67. kc_percentage : 1.06234
  68. kc_width_percentage : 0.0222445
  69. volume_ema_diff : -0.164387
  70. volume_ema1 : 10972.765181528
  71. volume_ema2 : 13131.409244779
  72. chop : 35.0817
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111999
  77. 5m_price_ema100_diff: 
    0.000612156
  78. 5m_price: 
    112068
  79. 5m_correlation_with_coin: 
    0.487939
  80. btc_indicators
  81. 15m_ema100: 
    112220
  82. 15m_price_ema100_diff: 
    -0.00173304
  83. 15m_price: 
    112026
  84. 15m_correlation_with_coin: 
    -0.079281
  85. btc_indicators
  86. 1H_ema100: 
    113596
  87. 1H_price_ema100_diff: 
    -0.0134561
  88. 1H_price: 
    112068
  89. 1H_correlation_with_coin: 
    0.117326
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
24 Sep 2025
00:55:48		 24 Sep 2025
01:10:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.111 0.1119 0.1092 2 0.01585
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 0.111
  • Stop Loss: 0.1119
  • Take Profit: 0.1092

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1119 - 0.111 = 0.0009

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.111 - 0.1092 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.0009 = 2

📌 Position Size

Amount Margin Quantity Leverage
976.8844 100 8800.7608 9.77
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 0.0009

Taille de position = 8 / 0.0009 = 8888.89

Taille de position USD = 8888.89 x 0.111 = 986.67

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1119

Avec un position size USD de 986.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.0009 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 986.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.62 % 15.84 $
SL % Target SL $ Target
0.81 % 7.92 $
PNL PNL %
-7.92 $ -0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.991 % 122.22 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1092
            [entry_price] => 0.111
            [stop_loss] => 0.11199
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-24 01:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1092
            [entry_price] => 0.111
            [stop_loss] => 0.11208
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-24 01:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1092
            [entry_price] => 0.111
            [stop_loss] => 0.11217
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-24 01:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1092
            [entry_price] => 0.111
            [stop_loss] => 0.11235
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-24 01:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0042
            [rr_ratio] => 0.12
            [high] => 0.11520000
            [low] => 0.11050000
            [mfe_pct] => 0.45
            [mae_pct] => 3.78
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-09-24T00:55:48-04:00
            [end_at] => 2025-09-24T02:55:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0055
            [rr_ratio] => 0.09
            [high] => 0.11650000
            [low] => 0.11050000
            [mfe_pct] => 0.45
            [mae_pct] => 4.95
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 84
            [start_at] => 2025-09-24T00:55:48-04:00
            [end_at] => 2025-09-24T07:55:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11260000
            [high_after] => 0.11650000
            [low_before] => 0.10800000
            [low_after] => 0.11050000
            [is_new_high] => 
            [is_new_low] => 
        )

)