Short Trade on IOTA 22 Sep 2025 at 17:06:05

Take profit at 0.1683 (0.65 %) and Stop Loss at 0.17 (0.35 %)

Short Trade on IOTA

The 22 Sep 2025 at 17:06:05

With 14540.4144 IOTA at 0.1694$ per unit.

Position size of 2463.1462 $

Take profit at 0.1683 (0.65 %) and Stop Loss at 0.17 (0.35 %)

That's a 1.83 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.83
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.57
Prediction 2 Probability
0 0.46
Prediction 3 Probability
0 0.57
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.496042

15m : -0.00821

1H : 0.102501

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0003667937654
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.169491
  4. ema21 : 0.172466
  5. ema50 : 0.178096
  6. ema100 : 0.183467
  7. price_ema9_diff : -0.000542688
  8. ema9_ema21_diff : -0.0172442
  9. ema21_ema50_diff : -0.031614
  10. price_ema100_diff : -0.0766779
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.274799
  14. ema_slope_21 : -0.312987
  15. ema_slope_50 : -0.241389
  16. ema_slope_100 : -0.16819
  17. rsi : 0.345066
  18. adx : 0.698239
  19. kc_percentage : 0.260855
  20. kc_width_percentage : 0.0694054
  21. volume_ema_diff : -0.680162
  22. volume_ema1 : 78399.986297955
  23. volume_ema2 : 245124.19405289
  24. chop : 70.5693
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.168608
  29. ema21 : 0.168796
  30. ema50 : 0.170495
  31. ema100 : 0.17376
  32. price_ema9_diff : 0.00469587
  33. ema9_ema21_diff : -0.00111676
  34. ema21_ema50_diff : -0.00996462
  35. price_ema100_diff : -0.0250953
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0169175
  39. ema_slope_21 : -0.0371513
  40. ema_slope_50 : -0.0625651
  41. ema_slope_100 : -0.069263
  42. rsi : 0.529121
  43. adx : 0.261926
  44. kc_percentage : 0.703614
  45. kc_width_percentage : 0.018523
  46. volume_ema_diff : -0.837988
  47. volume_ema1 : 9696.8022331103
  48. volume_ema2 : 59852.674948111
  49. chop : 62.8563
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.168864
  54. ema21 : 0.168519
  55. ema50 : 0.168572
  56. ema100 : 0.169017
  57. price_ema9_diff : 0.00317104
  58. ema9_ema21_diff : 0.00204704
  59. ema21_ema50_diff : -0.000313474
  60. price_ema100_diff : 0.00226195
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0646221
  64. ema_slope_21 : 0.0274229
  65. ema_slope_50 : 0.0033355
  66. ema_slope_100 : -0.00497646
  67. rsi : 0.653778
  68. adx : 0.240841
  69. kc_percentage : 1.10414
  70. kc_width_percentage : 0.00848264
  71. volume_ema_diff : -0.675762
  72. volume_ema1 : 2508.7764269134
  73. volume_ema2 : 7737.4719367945
  74. chop : 33.3502
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112529
  80. 5m_price_ema100_diff:
    0.00140507
  81. 5m_price:
    112687
  82. 5m_correlation_with_coin:
    0.496042
  83. btc_indicators
  84. 15m_ema100:
    113312
  85. 15m_price_ema100_diff:
    -0.00551195
  86. 15m_price:
    112687
  87. 15m_correlation_with_coin:
    -0.00821
  88. btc_indicators
  89. 1H_ema100:
    115032
  90. 1H_price_ema100_diff:
    -0.0203864
  91. 1H_price:
    112687
  92. 1H_correlation_with_coin:
    0.102501
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:06:05
22 Sep 2025
17:20:00
13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1694 0.17 0.1683 1.83 0.0679
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 0.1694
  • Stop Loss: 0.17
  • Take Profit: 0.1683

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.17 - 0.1694 = 0.00060000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1694 - 0.1683 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.00060000000000002 = 1.8333

📌 Position Size

Amount Margin Quantity Leverage
2463.1462 100 14540.4144 24.63
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 0.00060000000000002

Taille de position = 8 / 0.00060000000000002 = 13333.33

Taille de position USD = 13333.33 x 0.1694 = 2258.67

Donc, tu peux acheter 13333.33 avec un stoploss a 0.17

Avec un position size USD de 2258.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00060000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13333.33 x 0.0011 = 14.67

Si Take Profit atteint, tu gagneras 14.67$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 2258.67
  • Perte potentielle 8
  • Gain potentiel 14.67
  • Risk-Reward Ratio 1.8333

📌 Peformances

TP % Target TP $ Target
0.65 % 15.99 $
SL % Target SL $ Target
0.35 % 8.72 $
PNL PNL %
-8.72 $ -0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3542 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1683
            [entry_price] => 0.1694
            [stop_loss] => 0.17006
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1683
            [entry_price] => 0.1694
            [stop_loss] => 0.17012
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1683
            [entry_price] => 0.1694
            [stop_loss] => 0.17018
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1683
            [entry_price] => 0.1694
            [stop_loss] => 0.1703
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00039999999999998
            [max_drawdown] => 0.0014
            [rr_ratio] => 0.29
            [high] => 0.17080000
            [low] => 0.16900000
            [mfe_pct] => 0.24
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:06:05-04:00
            [end_at] => 2025-09-22T19:06:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0024
            [max_drawdown] => 0.0024
            [rr_ratio] => 1
            [high] => 0.17180000
            [low] => 0.16700000
            [mfe_pct] => 1.42
            [mae_pct] => 1.42
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:06:05-04:00
            [end_at] => 2025-09-23T00:06:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16940000
            [high_after] => 0.17180000
            [low_before] => 0.16680000
            [low_after] => 0.16700000
            [is_new_high] => 
            [is_new_low] => 
        )

)