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Short Trade on IOTA

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Short Trade on IOTA 22 Sep 2025 at 18:22:28

Take profit at 0.1699 (0.47 %) and Stop Loss at 0.1711 (0.23 %)

Short Trade on IOTA

The 22 Sep 2025 at 18:22:28

With 19763.364 IOTA at 0.1707$ per unit.

Position size of 3373.6062 $

Take profit at 0.1699 (0.47 %) and Stop Loss at 0.1711 (0.23 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.3
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.57
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.59
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.394303

15m : -0.002165

1H : -0.030838

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.0002698595912
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 0.169909
  4. ema21 : 0.172396
  5. ema50 : 0.177831
  6. ema100 : 0.183114
  7. price_ema9_diff : 0.00465197
  8. ema9_ema21_diff : -0.0144245
  9. ema21_ema50_diff : -0.0305625
  10. price_ema100_diff : -0.0677972
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.224672
  14. ema_slope_21 : -0.286843
  15. ema_slope_50 : -0.232495
  16. ema_slope_100 : -0.163984
  17. rsi : 0.395831
  18. adx : 0.679069
  19. kc_percentage : 0.369952
  20. kc_width_percentage : 0.0658792
  21. volume_ema_diff : -0.749982
  22. volume_ema1 : 59207.161083239
  23. volume_ema2 : 236811.80435511
  24. chop : 69.5847
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.169897
  28. ema21 : 0.169435
  29. ema50 : 0.170485
  30. ema100 : 0.173412
  31. price_ema9_diff : 0.00472281
  32. ema9_ema21_diff : 0.00272969
  33. ema21_ema50_diff : -0.0061608
  34. price_ema100_diff : -0.0156442
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0632986
  38. ema_slope_21 : 0.0140491
  39. ema_slope_50 : -0.0340867
  40. ema_slope_100 : -0.0537003
  41. rsi : 0.607332
  42. adx : 0.226919
  43. kc_percentage : 0.972237
  44. kc_width_percentage : 0.0156443
  45. volume_ema_diff : -0.910736
  46. volume_ema1 : 4453.658304828
  47. volume_ema2 : 49893.379027833
  48. chop : 42.9745
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.170491
  52. ema21 : 0.169987
  53. ema50 : 0.169409
  54. ema100 : 0.169515
  55. price_ema9_diff : 0.00122316
  56. ema9_ema21_diff : 0.00296616
  57. ema21_ema50_diff : 0.00340743
  58. price_ema100_diff : 0.00698709
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0604116
  62. ema_slope_21 : 0.0587242
  63. ema_slope_50 : 0.0338947
  64. ema_slope_100 : 0.0133639
  65. rsi : 0.699823
  66. adx : 0.357155
  67. kc_percentage : 1.20348
  68. kc_width_percentage : 0.00561436
  69. volume_ema_diff : -0.801501
  70. volume_ema1 : 997.63109436948
  71. volume_ema2 : 5025.8987449808
  72. chop : 37.0226
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112656
  77. 5m_price_ema100_diff: 
    0.000203129
  78. 5m_price: 
    112679
  79. 5m_correlation_with_coin: 
    0.394303
  80. btc_indicators
  81. 15m_ema100: 
    113248
  82. 15m_price_ema100_diff: 
    -0.00502917
  83. 15m_price: 
    112679
  84. 15m_correlation_with_coin: 
    -0.002165
  85. btc_indicators
  86. 1H_ema100: 
    114942
  87. 1H_price_ema100_diff: 
    -0.0196917
  88. 1H_price: 
    112679
  89. 1H_correlation_with_coin: 
    -0.030838
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
18:22:28		 22 Sep 2025
19:35:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1707 0.1711 0.1699 2 0.0683
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 0.1707
  • Stop Loss: 0.1711
  • Take Profit: 0.1699

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1711 - 0.1707 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1707 - 0.1699 = 0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0008 / 0.00040000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
3373.6062 100 19763.364 33.74
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.1707 = 3414

Donc, tu peux acheter 20000 avec un stoploss a 0.1711

Avec un position size USD de 3414$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.0008 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 20000
  • Taille de position USD 3414
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.47 % 15.81 $
SL % Target SL $ Target
0.23 % 7.91 $
PNL PNL %
-7.91 $ -0.23
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2929 % 125.01 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1699
            [entry_price] => 0.1707
            [stop_loss] => 0.17114
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 19:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1699
            [entry_price] => 0.1707
            [stop_loss] => 0.17118
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 19:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1699
            [entry_price] => 0.1707
            [stop_loss] => 0.17122
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 19:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1699
            [entry_price] => 0.1707
            [stop_loss] => 0.1713
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 19:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00039999999999998
            [max_drawdown] => 0.0011
            [rr_ratio] => 0.36
            [high] => 0.17180000
            [low] => 0.17030000
            [mfe_pct] => 0.23
            [mae_pct] => 0.64
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T18:22:28-04:00
            [end_at] => 2025-09-22T20:22:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0037
            [max_drawdown] => 0.0011
            [rr_ratio] => 3.36
            [high] => 0.17180000
            [low] => 0.16700000
            [mfe_pct] => 2.17
            [mae_pct] => 0.64
            [mfe_mae_ratio] => 3.36
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T18:22:28-04:00
            [end_at] => 2025-09-23T01:22:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17080000
            [high_after] => 0.17180000
            [low_before] => 0.16680000
            [low_after] => 0.16700000
            [is_new_high] => 
            [is_new_low] => 
        )

)