Short Trade on INJ 23 Sep 2025 at 20:29:48

Take profit at 12.177 (0.84 %) and Stop Loss at 12.3315 (0.42 %)

Short Trade on INJ

The 23 Sep 2025 at 20:29:48

With 155.3937 INJ at 12.28$ per unit.

Position size of 1908.235 $

Take profit at 12.177 (0.84 %) and Stop Loss at 12.3315 (0.42 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 4.52
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.72
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.795356

15m : -0.081914

1H : -0.002077

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.03432141908
Details
  1. score: 1
  2. 1H
  3. ema9 : 12.269
  4. ema21 : 12.3293
  5. ema50 : 12.5653
  6. ema100 : 12.946
  7. price_ema9_diff : 0.000893291
  8. ema9_ema21_diff : -0.00488848
  9. ema21_ema50_diff : -0.0187812
  10. price_ema100_diff : -0.0514513
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.10068
  14. ema_slope_21 : -0.0706132
  15. ema_slope_50 : -0.110041
  16. ema_slope_100 : -0.111782
  17. rsi : 0.457055
  18. adx : 0.392169
  19. kc_percentage : 0.427378
  20. kc_width_percentage : 0.0492499
  21. volume_ema_diff : -0.469587
  22. volume_ema1 : 356422.74684795
  23. volume_ema2 : 671972.47209921
  24. chop : 61.9744
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 12.209
  29. ema21 : 12.2351
  30. ema50 : 12.2913
  31. ema100 : 12.3288
  32. price_ema9_diff : 0.00581415
  33. ema9_ema21_diff : -0.00213796
  34. ema21_ema50_diff : -0.00456743
  35. price_ema100_diff : -0.00396494
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0269666
  39. ema_slope_21 : -0.0325367
  40. ema_slope_50 : -0.030519
  41. ema_slope_100 : -0.0198774
  42. rsi : 0.500384
  43. adx : 0.188618
  44. kc_percentage : 0.674541
  45. kc_width_percentage : 0.0220499
  46. volume_ema_diff : -0.53413
  47. volume_ema1 : 61008.182645229
  48. volume_ema2 : 130955.38106965
  49. chop : 59.2565
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 12.2216
  54. ema21 : 12.2101
  55. ema50 : 12.2269
  56. ema100 : 12.2621
  57. price_ema9_diff : 0.00477122
  58. ema9_ema21_diff : 0.000947671
  59. ema21_ema50_diff : -0.00137562
  60. price_ema100_diff : 0.00145317
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0270301
  64. ema_slope_21 : -0.00351796
  65. ema_slope_50 : -0.0109769
  66. ema_slope_100 : -0.0117391
  67. rsi : 0.601048
  68. adx : 0.203399
  69. kc_percentage : 1.0031
  70. kc_width_percentage : 0.0113392
  71. volume_ema_diff : 0.0392127
  72. volume_ema1 : 33858.72987329
  73. volume_ema2 : 32581.133733898
  74. chop : 35.776
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112076
  80. 5m_price_ema100_diff:
    0.00150334
  81. 5m_price:
    112245
  82. 5m_correlation_with_coin:
    0.795356
  83. btc_indicators
  84. 15m_ema100:
    112370
  85. 15m_price_ema100_diff:
    -0.00183847
  86. 15m_price:
    112163
  87. 15m_correlation_with_coin:
    -0.081914
  88. btc_indicators
  89. 1H_ema100:
    113705
  90. 1H_price_ema100_diff:
    -0.0128431
  91. 1H_price:
    112245
  92. 1H_correlation_with_coin:
    -0.002077
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Sep 2025
20:29:48
23 Sep 2025
21:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
12.28 12.3315 12.177 2 3.18
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 12.28
  • Stop Loss: 12.3315
  • Take Profit: 12.177

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 12.3315 - 12.28 = 0.051500000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 12.28 - 12.177 = 0.103

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.103 / 0.051500000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1908.235 100 155.3937 19.08
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 0.051500000000001

Taille de position = 8 / 0.051500000000001 = 155.34

Taille de position USD = 155.34 x 12.28 = 1907.58

Donc, tu peux acheter 155.34 avec un stoploss a 12.3315

Avec un position size USD de 1907.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 155.34 x 0.051500000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 155.34 x 0.103 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 155.34
  • Taille de position USD 1907.58
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.84 % 16.01 $
SL % Target SL $ Target
0.42 % 8 $
PNL PNL %
-8 $ -0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4723 % 112.61 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 12.177
            [entry_price] => 12.28
            [stop_loss] => 12.33665
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 21:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 12.177
            [entry_price] => 12.28
            [stop_loss] => 12.3418
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 21:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 12.177
            [entry_price] => 12.28
            [stop_loss] => 12.34695
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 22:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 12.177
            [entry_price] => 12.28
            [stop_loss] => 12.35725
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 23:20:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1
            [max_drawdown] => 0.067
            [rr_ratio] => 1.49
            [high] => 12.34700000
            [low] => 12.18000000
            [mfe_pct] => 0.81
            [mae_pct] => 0.55
            [mfe_mae_ratio] => 1.49
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T20:29:48-04:00
            [end_at] => 2025-09-23T22:29:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.392
            [max_drawdown] => 0.177
            [rr_ratio] => 2.21
            [high] => 12.45700000
            [low] => 11.88800000
            [mfe_pct] => 3.19
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 2.21
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T20:29:48-04:00
            [end_at] => 2025-09-24T03:29:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 12.32900000
            [high_after] => 12.41100000
            [low_before] => 12.11300000
            [low_after] => 11.88800000
            [is_new_high] => 
            [is_new_low] => 1
        )

)