Short Trade on AI 10 Sep 2025 at 18:24:46

Take profit at 0.1409 (1.19 %) and Stop Loss at 0.1434 (0.56 %)

Short Trade on AI

The 10 Sep 2025 at 18:24:46

With 9518.7181 AI at 0.1426$ per unit.

Position size of 1357.274 $

Take profit at 0.1409 (1.19 %) and Stop Loss at 0.1434 (0.56 %)

That's a 2.13 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.36
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.71
Prediction 2 Probability
0 0.44
Prediction 3 Probability
0 0.59
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low

BTC Correlation Score

5m : 0.36043

15m : 0.01213

1H : -0.000546

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0005602995334
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.142593
  4. ema21 : 0.146121
  5. ema50 : 0.146747
  6. ema100 : 0.141387
  7. price_ema9_diff : -2.12688E-5
  8. ema9_ema21_diff : -0.0241477
  9. ema21_ema50_diff : -0.00426889
  10. price_ema100_diff : 0.00850441
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.546551
  14. ema_slope_21 : -0.404348
  15. ema_slope_50 : -0.124706
  16. ema_slope_100 : 0.0311398
  17. rsi : 0.410046
  18. adx : 0.242845
  19. kc_percentage : 0.252616
  20. kc_width_percentage : 0.0941334
  21. volume_ema_diff : -0.762357
  22. volume_ema1 : 163184.04153281
  23. volume_ema2 : 686678.00168306
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.141166
  28. ema21 : 0.141359
  29. ema50 : 0.14406
  30. ema100 : 0.14762
  31. price_ema9_diff : 0.0100809
  32. ema9_ema21_diff : -0.0013615
  33. ema21_ema50_diff : -0.0187517
  34. price_ema100_diff : -0.0340802
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0440231
  38. ema_slope_21 : -0.0530601
  39. ema_slope_50 : -0.114373
  40. ema_slope_100 : -0.103733
  41. rsi : 0.530574
  42. adx : 0.268942
  43. kc_percentage : 0.794398
  44. kc_width_percentage : 0.0308527
  45. volume_ema_diff : -0.717994
  46. volume_ema1 : 22766.493393752
  47. volume_ema2 : 80730.777319344
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.141658
  52. ema21 : 0.14112
  53. ema50 : 0.141017
  54. ema100 : 0.142126
  55. price_ema9_diff : 0.00657807
  56. ema9_ema21_diff : 0.00380962
  57. ema21_ema50_diff : 0.000730388
  58. price_ema100_diff : 0.00326043
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0497073
  62. ema_slope_21 : 0.0308423
  63. ema_slope_50 : 0.0067245
  64. ema_slope_100 : -0.0155843
  65. rsi : 0.704337
  66. adx : 0.209312
  67. kc_percentage : 1.13105
  68. kc_width_percentage : 0.0160342
  69. volume_ema_diff : -0.523813
  70. volume_ema1 : 7111.6769040498
  71. volume_ema2 : 14934.638025586
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113703
  77. 5m_price_ema100_diff:
    0.00137562
  78. 5m_price:
    113860
  79. 5m_correlation_with_coin:
    0.36043
  80. btc_indicators
  81. 15m_ema100:
    112794
  82. 15m_price_ema100_diff:
    0.00983502
  83. 15m_price:
    113904
  84. 15m_correlation_with_coin:
    0.01213
  85. btc_indicators
  86. 1H_ema100:
    111834
  87. 1H_price_ema100_diff:
    0.0181169
  88. 1H_price:
    113860
  89. 1H_correlation_with_coin:
    -0.000546
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
18:24:46
10 Sep 2025
18:45:00
20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1426 0.1434 0.1409 2.13 0.02043
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 0.1426
  • Stop Loss: 0.1434
  • Take Profit: 0.1409

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1434 - 0.1426 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1426 - 0.1409 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.0008 = 2.125

📌 Position Size

Amount Margin Quantity Leverage
1357.274 100 9518.7181 13.57
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 0.1426 = 1426

Donc, tu peux acheter 10000 avec un stoploss a 0.1434

Avec un position size USD de 1426$

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 0.0017 = 17

Si Take Profit atteint, tu gagneras 17$

Résumé

  • Taille de position 10000
  • Taille de position USD 1426
  • Perte potentielle 8
  • Gain potentiel 17
  • Risk-Reward Ratio 2.125

📌 Peformances

TP % Target TP $ Target
1.19 % 16.18 $
SL % Target SL $ Target
0.56 % 7.61 $
PNL PNL %
-7.61 $ -0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6031 % 107.5 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1409
            [entry_price] => 0.1426
            [stop_loss] => 0.14348
            [rr_ratio] => 1.93
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 19:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1409
            [entry_price] => 0.1426
            [stop_loss] => 0.14356
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 19:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1409
            [entry_price] => 0.1426
            [stop_loss] => 0.14364
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 19:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1409
            [entry_price] => 0.1426
            [stop_loss] => 0.1438
            [rr_ratio] => 1.42
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 23:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00068000000000001
            [max_drawdown] => 0.00119
            [rr_ratio] => 0.57
            [high] => 0.14379000
            [low] => 0.14192000
            [mfe_pct] => 0.48
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T18:24:46-04:00
            [end_at] => 2025-09-10T20:24:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00214
            [max_drawdown] => 0.00143
            [rr_ratio] => 1.5
            [high] => 0.14403000
            [low] => 0.14046000
            [mfe_pct] => 1.5
            [mae_pct] => 1
            [mfe_mae_ratio] => 1.5
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T18:24:46-04:00
            [end_at] => 2025-09-11T01:24:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14267000
            [high_after] => 0.14403000
            [low_before] => 0.13910000
            [low_after] => 0.14088000
            [is_new_high] => 
            [is_new_low] => 
        )

)