Short Trade on ARIA 09 Sep 2025 at 14:54:14

Take profit at 0.104 (1.52 %) and Stop Loss at 0.1064 (0.76 %)

Short Trade on ARIA

The 09 Sep 2025 at 14:54:14

With 10018.9932 ARIA at 0.1056$ per unit.

Position size of 1057.7051 $

Take profit at 0.104 (1.52 %) and Stop Loss at 0.1064 (0.76 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.73
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.51
Prediction 3 Probability
1 0.68
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.119812

15m : -0.033709

1H : -0.04879

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.0005323222844
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 0.105294
  4. ema21 : 0.107708
  5. ema50 : 0.111661
  6. ema100 : 0.115066
  7. price_ema9_diff : 0.00261408
  8. ema9_ema21_diff : -0.0224072
  9. ema21_ema50_diff : -0.0354084
  10. price_ema100_diff : -0.0825295
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.477967
  14. ema_slope_21 : -0.349017
  15. ema_slope_50 : -0.255384
  16. ema_slope_100 : -0.172426
  17. rsi : 0.419351
  18. adx : 0.18872
  19. kc_percentage : 0.337114
  20. kc_width_percentage : 0.113856
  21. volume_ema_diff : -0.685858
  22. volume_ema1 : 191211.59102935
  23. volume_ema2 : 608678.9529343
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.104072
  28. ema21 : 0.104283
  29. ema50 : 0.105868
  30. ema100 : 0.106921
  31. price_ema9_diff : 0.0143883
  32. ema9_ema21_diff : -0.00202035
  33. ema21_ema50_diff : -0.0149698
  34. price_ema100_diff : -0.0126396
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00491673
  38. ema_slope_21 : -0.072759
  39. ema_slope_50 : -0.101633
  40. ema_slope_100 : -0.067398
  41. rsi : 0.520726
  42. adx : 0.475317
  43. kc_percentage : 0.85572
  44. kc_width_percentage : 0.0355775
  45. volume_ema_diff : -0.359547
  46. volume_ema1 : 43278.676053752
  47. volume_ema2 : 67575.143388122
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.104481
  52. ema21 : 0.104057
  53. ema50 : 0.103951
  54. ema100 : 0.104478
  55. price_ema9_diff : 0.0104145
  56. ema9_ema21_diff : 0.00407921
  57. ema21_ema50_diff : 0.00102158
  58. price_ema100_diff : 0.010446
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0832104
  62. ema_slope_21 : 0.0487539
  63. ema_slope_50 : 0.0142381
  64. ema_slope_100 : -0.0059818
  65. rsi : 0.721411
  66. adx : 0.176068
  67. kc_percentage : 1.19995
  68. kc_width_percentage : 0.0201863
  69. volume_ema_diff : 0.458742
  70. volume_ema1 : 24628.063624349
  71. volume_ema2 : 16883.072970567
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111635
  77. 5m_price_ema100_diff:
    -0.00514993
  78. 5m_price:
    111060
  79. 5m_correlation_with_coin:
    0.119812
  80. btc_indicators
  81. 15m_ema100:
    111977
  82. 15m_price_ema100_diff:
    -0.00820754
  83. 15m_price:
    111058
  84. 15m_correlation_with_coin:
    -0.033709
  85. btc_indicators
  86. 1H_ema100:
    111419
  87. 1H_price_ema100_diff:
    -0.00322613
  88. 1H_price:
    111060
  89. 1H_correlation_with_coin:
    -0.04879
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
14:54:14
09 Sep 2025
14:55:00
46 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1056 0.1064 0.104 2 0.08038
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 0.1056
  • Stop Loss: 0.1064
  • Take Profit: 0.104

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1064 - 0.1056 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1056 - 0.104 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.0008 = 2

📌 Position Size

Amount Margin Quantity Leverage
1057.7051 100 10018.9932 10.58
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1056 = 1056

Donc, tu peux acheter 10000 avec un stoploss a 0.1064

Avec un position size USD de 1056$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 10000
  • Taille de position USD 1056
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.52 % 16.03 $
SL % Target SL $ Target
0.76 % 8.02 $
PNL PNL %
-8.01 $ -0.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0322 % 136.25 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.104
            [entry_price] => 0.1056
            [stop_loss] => 0.10648
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 14:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.104
            [entry_price] => 0.1056
            [stop_loss] => 0.10656
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 14:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.104
            [entry_price] => 0.1056
            [stop_loss] => 0.10664
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 14:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.104
            [entry_price] => 0.1056
            [stop_loss] => 0.1068
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 15:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00227
            [max_drawdown] => 0.00136
            [rr_ratio] => 1.67
            [high] => 0.10696000
            [low] => 0.10333000
            [mfe_pct] => 2.15
            [mae_pct] => 1.29
            [mfe_mae_ratio] => 1.67
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T14:54:14-04:00
            [end_at] => 2025-09-09T16:54:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00227
            [max_drawdown] => 0.0035
            [rr_ratio] => 0.65
            [high] => 0.10910000
            [low] => 0.10333000
            [mfe_pct] => 2.15
            [mae_pct] => 3.31
            [mfe_mae_ratio] => 0.65
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T14:54:14-04:00
            [end_at] => 2025-09-09T21:54:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10566000
            [high_after] => 0.10850000
            [low_before] => 0.10179000
            [low_after] => 0.10333000
            [is_new_high] => 
            [is_new_low] => 
        )

)