Short Trade on PEAQ 24 Sep 2025 at 01:10:39

Take profit at 0.1095 (1.53 %) and Stop Loss at 0.1121 (0.81 %)

Short Trade on PEAQ

The 24 Sep 2025 at 01:10:39

With 9180.4224 PEAQ at 0.1112$ per unit.

Position size of 1020.863 $

Take profit at 0.1095 (1.53 %) and Stop Loss at 0.1121 (0.81 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.04
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.48
Prediction 3 Probability
1 0.78
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 : 0.467396

15m : -0.05191

1H : -0.000652

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0005809463991
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.111499
  4. ema21 : 0.113038
  5. ema50 : 0.114833
  6. ema100 : 0.116
  7. price_ema9_diff : -0.00268968
  8. ema9_ema21_diff : -0.0136122
  9. ema21_ema50_diff : -0.015633
  10. price_ema100_diff : -0.0413844
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.473067
  14. ema_slope_21 : -0.252778
  15. ema_slope_50 : -0.141507
  16. ema_slope_100 : -0.0828657
  17. rsi : 0.442335
  18. adx : 0.165008
  19. kc_percentage : 0.349035
  20. kc_width_percentage : 0.104194
  21. volume_ema_diff : -0.547394
  22. volume_ema1 : 111581.1733316
  23. volume_ema2 : 246530.66354646
  24. chop : 43.8871
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.110189
  29. ema21 : 0.110573
  30. ema50 : 0.112194
  31. ema100 : 0.113114
  32. price_ema9_diff : 0.00916652
  33. ema9_ema21_diff : -0.00346745
  34. ema21_ema50_diff : -0.0144454
  35. price_ema100_diff : -0.0169265
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0764508
  39. ema_slope_21 : -0.104639
  40. ema_slope_50 : -0.105338
  41. ema_slope_100 : -0.064725
  42. rsi : 0.517588
  43. adx : 0.326083
  44. kc_percentage : 0.656578
  45. kc_width_percentage : 0.0392561
  46. volume_ema_diff : -0.213372
  47. volume_ema1 : 34334.416113114
  48. volume_ema2 : 43647.611910132
  49. chop : 50.7163
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.110483
  54. ema21 : 0.109961
  55. ema50 : 0.110148
  56. ema100 : 0.110773
  57. price_ema9_diff : 0.00648365
  58. ema9_ema21_diff : 0.0047496
  59. ema21_ema50_diff : -0.00170113
  60. price_ema100_diff : 0.00384705
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.141522
  64. ema_slope_21 : 0.052701
  65. ema_slope_50 : -0.00221189
  66. ema_slope_100 : -0.0151377
  67. rsi : 0.622545
  68. adx : 0.36492
  69. kc_percentage : 1.02951
  70. kc_width_percentage : 0.0207874
  71. volume_ema_diff : -0.52862
  72. volume_ema1 : 5626.1393821811
  73. volume_ema2 : 11935.489191054
  74. chop : 34.1445
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112024
  80. 5m_price_ema100_diff:
    0.0011364
  81. 5m_price:
    112151
  82. 5m_correlation_with_coin:
    0.467396
  83. btc_indicators
  84. 15m_ema100:
    112205
  85. 15m_price_ema100_diff:
    -0.000476688
  86. 15m_price:
    112151
  87. 15m_correlation_with_coin:
    -0.05191
  88. btc_indicators
  89. 1H_ema100:
    113565
  90. 1H_price_ema100_diff:
    -0.0124469
  91. 1H_price:
    112151
  92. 1H_correlation_with_coin:
    -0.000652
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
24 Sep 2025
01:10:39
24 Sep 2025
01:25:00
14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1112 0.1121 0.1095 1.89 0.01583
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 0.1112
  • Stop Loss: 0.1121
  • Take Profit: 0.1095

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1121 - 0.1112 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1112 - 0.1095 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00090000000000001 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
1020.863 100 9180.4224 10.21
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 0.00090000000000001

Taille de position = 8 / 0.00090000000000001 = 8888.89

Taille de position USD = 8888.89 x 0.1112 = 988.44

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1121

Avec un position size USD de 988.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00090000000000001 = 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 0.0017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 988.44
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
1.53 % 15.61 $
SL % Target SL $ Target
0.81 % 8.26 $
PNL PNL %
-8.26 $ -0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8094 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1095
            [entry_price] => 0.1112
            [stop_loss] => 0.11219
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-24 01:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1095
            [entry_price] => 0.1112
            [stop_loss] => 0.11228
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-24 01:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1095
            [entry_price] => 0.1112
            [stop_loss] => 0.11237
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-24 01:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1095
            [entry_price] => 0.1112
            [stop_loss] => 0.11255
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-24 01:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0001
            [max_drawdown] => 0.004
            [rr_ratio] => -0.03
            [high] => 0.11520000
            [low] => 0.11130000
            [mfe_pct] => -0.09
            [mae_pct] => 3.6
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 24
            [start_at] => 2025-09-24T01:10:39-04:00
            [end_at] => 2025-09-24T03:10:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0001
            [max_drawdown] => 0.0053
            [rr_ratio] => -0.02
            [high] => 0.11650000
            [low] => 0.11130000
            [mfe_pct] => -0.09
            [mae_pct] => 4.77
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 84
            [start_at] => 2025-09-24T01:10:39-04:00
            [end_at] => 2025-09-24T08:10:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11260000
            [high_after] => 0.11650000
            [low_before] => 0.10800000
            [low_after] => 0.11130000
            [is_new_high] => 
            [is_new_low] => 
        )

)