Short Trade on AI 10 Sep 2025 at 18:31:50

Take profit at 0.1413 (1.12 %) and Stop Loss at 0.1437 (0.56 %)

Short Trade on AI

The 10 Sep 2025 at 18:31:50

With 10186.3223 AI at 0.1429$ per unit.

Position size of 1455.4217 $

Take profit at 0.1413 (1.12 %) and Stop Loss at 0.1437 (0.56 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 2.18
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.77
Prediction 2 Probability
0 0.42
Prediction 3 Probability
0 0.56
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 : 0.348896

15m : -0.04205

1H : -0.015644

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.000523577909
Details
  1. score: 1.18
  2. 1H
  3. ema9 : 0.142651
  4. ema21 : 0.146147
  5. ema50 : 0.146759
  6. ema100 : 0.141393
  7. price_ema9_diff : 0.00160508
  8. ema9_ema21_diff : -0.0239269
  9. ema21_ema50_diff : -0.00416642
  10. price_ema100_diff : 0.0105144
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.543383
  14. ema_slope_21 : -0.402917
  15. ema_slope_50 : -0.12407
  16. ema_slope_100 : 0.0314795
  17. rsi : 0.416416
  18. adx : 0.241587
  19. kc_percentage : 0.274848
  20. kc_width_percentage : 0.0950622
  21. volume_ema_diff : -0.758612
  22. volume_ema1 : 165830.69473281
  23. volume_ema2 : 686989.37264777
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.141599
  28. ema21 : 0.141543
  29. ema50 : 0.144042
  30. ema100 : 0.147592
  31. price_ema9_diff : 0.00904576
  32. ema9_ema21_diff : 0.000390042
  33. ema21_ema50_diff : -0.0173487
  34. price_ema100_diff : -0.0319263
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0765606
  38. ema_slope_21 : -0.0294395
  39. ema_slope_50 : -0.102325
  40. ema_slope_100 : -0.0986277
  41. rsi : 0.564063
  42. adx : 0.2595
  43. kc_percentage : 0.833615
  44. kc_width_percentage : 0.0290747
  45. volume_ema_diff : -0.772567
  46. volume_ema1 : 17951.928506946
  47. volume_ema2 : 78933.139935251
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.142094
  52. ema21 : 0.141424
  53. ema50 : 0.14115
  54. ema100 : 0.14208
  55. price_ema9_diff : 0.00552571
  56. ema9_ema21_diff : 0.0047418
  57. ema21_ema50_diff : 0.00194139
  58. price_ema100_diff : 0.00562406
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0792371
  62. ema_slope_21 : 0.0483172
  63. ema_slope_50 : 0.01665
  64. ema_slope_100 : -0.00871037
  65. rsi : 0.725034
  66. adx : 0.239036
  67. kc_percentage : 1.18426
  68. kc_width_percentage : 0.0145261
  69. volume_ema_diff : -0.627929
  70. volume_ema1 : 5425.8894595777
  71. volume_ema2 : 14582.975447143
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113711
  77. 5m_price_ema100_diff:
    0.00150981
  78. 5m_price:
    113883
  79. 5m_correlation_with_coin:
    0.348896
  80. btc_indicators
  81. 15m_ema100:
    112797
  82. 15m_price_ema100_diff:
    0.00962508
  83. 15m_price:
    113883
  84. 15m_correlation_with_coin:
    -0.04205
  85. btc_indicators
  86. 1H_ema100:
    111834
  87. 1H_price_ema100_diff:
    0.0183202
  88. 1H_price:
    113883
  89. 1H_correlation_with_coin:
    -0.015644
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
18:31:50
10 Sep 2025
19:05:00
33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1429 0.1437 0.1413 2 0.02008
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 0.1429
  • Stop Loss: 0.1437
  • Take Profit: 0.1413

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1437 - 0.1429 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1429 - 0.1413 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.0008 = 2

📌 Position Size

Amount Margin Quantity Leverage
1455.4217 100 10186.3223 14.55
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 0.1429 = 1429

Donc, tu peux acheter 10000 avec un stoploss a 0.1437

Avec un position size USD de 1429$

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 1429
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.12 % 16.3 $
SL % Target SL $ Target
0.56 % 8.15 $
PNL PNL %
-8.15 $ -0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6228 % 111.25 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1413
            [entry_price] => 0.1429
            [stop_loss] => 0.14378
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 19:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1413
            [entry_price] => 0.1429
            [stop_loss] => 0.14386
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 21:35:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1413
            [entry_price] => 0.1429
            [stop_loss] => 0.14394
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 21:35:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1413
            [entry_price] => 0.1429
            [stop_loss] => 0.1441
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 21:35:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00098000000000001
            [max_drawdown] => 0.00089
            [rr_ratio] => 1.1
            [high] => 0.14379000
            [low] => 0.14192000
            [mfe_pct] => 0.69
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 1.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T18:31:50-04:00
            [end_at] => 2025-09-10T20:31:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00244
            [max_drawdown] => 0.00113
            [rr_ratio] => 2.16
            [high] => 0.14403000
            [low] => 0.14046000
            [mfe_pct] => 1.71
            [mae_pct] => 0.79
            [mfe_mae_ratio] => 2.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T18:31:50-04:00
            [end_at] => 2025-09-11T01:31:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14309000
            [high_after] => 0.14403000
            [low_before] => 0.13910000
            [low_after] => 0.14088000
            [is_new_high] => 
            [is_new_low] => 
        )

)