Short Trade on INJ 04 Oct 2025 at 23:10:35

Take profit at 12.5799 (0.98 %) and Stop Loss at 12.7675 (0.49 %)

Short Trade on INJ

The 04 Oct 2025 at 23:10:35

With 127.9392 INJ at 12.705$ per unit.

Position size of 1625.4674 $

Take profit at 12.5799 (0.98 %) and Stop Loss at 12.7675 (0.49 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.62
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.49
Prediction 3 Probability
0 0.87
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low_confirmed

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.718087

15m : 0.17653

1H : -0.014165

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.04168647214
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 12.6158
  4. ema21 : 12.7319
  5. ema50 : 12.8171
  6. ema100 : 12.6991
  7. price_ema9_diff : 0.00706388
  8. ema9_ema21_diff : -0.00911895
  9. ema21_ema50_diff : -0.0066475
  10. price_ema100_diff : 0.000464286
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.225732
  14. ema_slope_21 : -0.207381
  15. ema_slope_50 : -0.0941856
  16. ema_slope_100 : -0.0211744
  17. rsi : 0.468644
  18. adx : 0.268601
  19. kc_percentage : 0.470791
  20. kc_width_percentage : 0.049055
  21. volume_ema_diff : -0.286542
  22. volume_ema1 : 879987.46232328
  23. volume_ema2 : 1233412.5462288
  24. chop : 34.7708
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 12.5847
  29. ema21 : 12.5658
  30. ema50 : 12.6439
  31. ema100 : 12.7987
  32. price_ema9_diff : 0.00955905
  33. ema9_ema21_diff : 0.00150381
  34. ema21_ema50_diff : -0.00617834
  35. price_ema100_diff : -0.00732294
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0261481
  39. ema_slope_21 : -0.0050652
  40. ema_slope_50 : -0.0373721
  41. ema_slope_100 : -0.0440897
  42. rsi : 0.620518
  43. adx : 0.286725
  44. kc_percentage : 0.988599
  45. kc_width_percentage : 0.0225173
  46. volume_ema_diff : 0.175084
  47. volume_ema1 : 427727.86385934
  48. volume_ema2 : 363997.67962454
  49. chop : 43.0141
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 12.6429
  54. ema21 : 12.5926
  55. ema50 : 12.5566
  56. ema100 : 12.531
  57. price_ema9_diff : 0.0049065
  58. ema9_ema21_diff : 0.00399808
  59. ema21_ema50_diff : 0.00286344
  60. price_ema100_diff : 0.0138805
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0850227
  64. ema_slope_21 : 0.0515583
  65. ema_slope_50 : 0.0248992
  66. ema_slope_100 : 0.0148341
  67. rsi : 0.675111
  68. adx : 0.239723
  69. kc_percentage : 1.11407
  70. kc_width_percentage : 0.0140656
  71. volume_ema_diff : 0.537016
  72. volume_ema1 : 131060.3499694
  73. volume_ema2 : 85269.31958039
  74. chop : 27.8188
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    122390
  80. 5m_price_ema100_diff:
    0.0122834
  81. 5m_price:
    123893
  82. 5m_correlation_with_coin:
    0.718087
  83. btc_indicators
  84. 15m_ema100:
    122167
  85. 15m_price_ema100_diff:
    0.0141326
  86. 15m_price:
    123893
  87. 15m_correlation_with_coin:
    0.17653
  88. btc_indicators
  89. 1H_ema100:
    120022
  90. 1H_price_ema100_diff:
    0.0322566
  91. 1H_price:
    123893
  92. 1H_correlation_with_coin:
    -0.014165
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Oct 2025
23:10:35
05 Oct 2025
00:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
12.705 12.7675 12.5799 2 3.232
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 12.705
  • Stop Loss: 12.7675
  • Take Profit: 12.5799

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 12.7675 - 12.705 = 0.0625

  • Récompense (distance jusqu'au take profit):

    E - TP = 12.705 - 12.5799 = 0.1251

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1251 / 0.0625 = 2.0016

📌 Position Size

Amount Margin Quantity Leverage
1625.4674 100 127.9392 16.25
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 0.0625

Taille de position = 8 / 0.0625 = 128

Taille de position USD = 128 x 12.705 = 1626.24

Donc, tu peux acheter 128 avec un stoploss a 12.7675

Avec un position size USD de 1626.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 128 x 0.0625 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 128 x 0.1251 = 16.01

Si Take Profit atteint, tu gagneras 16.01$

Résumé

  • Taille de position 128
  • Taille de position USD 1626.24
  • Perte potentielle 8
  • Gain potentiel 16.01
  • Risk-Reward Ratio 2.0016

📌 Peformances

TP % Target TP $ Target
0.98 % 16.01 $
SL % Target SL $ Target
0.49 % 8 $
PNL PNL %
-8 $ -0.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5191 % 308.82 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 12.5799
            [entry_price] => 12.705
            [stop_loss] => 12.77375
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-05 00:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 12.5799
            [entry_price] => 12.705
            [stop_loss] => 12.78
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-05 00:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 12.5799
            [entry_price] => 12.705
            [stop_loss] => 12.78625
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-05 00:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 12.5799
            [entry_price] => 12.705
            [stop_loss] => 12.79875
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-05 00:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.113
            [max_drawdown] => 0.193
            [rr_ratio] => 0.59
            [high] => 12.89800000
            [low] => 12.59200000
            [mfe_pct] => 0.89
            [mae_pct] => 1.52
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 24
            [start_at] => 2025-10-04T23:10:35-04:00
            [end_at] => 2025-10-05T01:10:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.113
            [max_drawdown] => 0.456
            [rr_ratio] => 0.25
            [high] => 13.16100000
            [low] => 12.59200000
            [mfe_pct] => 0.89
            [mae_pct] => 3.59
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2025-10-04T23:10:35-04:00
            [end_at] => 2025-10-05T06:10:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 12.72500000
            [high_after] => 13.16100000
            [low_before] => 12.42300000
            [low_after] => 12.59200000
            [is_new_high] => 
            [is_new_low] => 
        )

)