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Short Trade on IOTA

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Short Trade on IOTA 22 Sep 2025 at 17:48:55

Take profit at 0.1697 (0.59 %) and Stop Loss at 0.1712 (0.29 %)

Short Trade on IOTA

The 22 Sep 2025 at 17:48:55

With 15611.286 IOTA at 0.1707$ per unit.

Position size of 2664.8465 $

Take profit at 0.1697 (0.59 %) and Stop Loss at 0.1712 (0.29 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.66
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.78
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 : 0.461602

15m : 0.237786

1H : 0.026859

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.44
  4. atr: 0.0003416331834
Details
  1. score: 1.44
  2. 1H
  3. ema9 : 0.169751
  4. ema21 : 0.172584
  5. ema50 : 0.178147
  6. ema100 : 0.183493
  7. price_ema9_diff : 0.00558472
  8. ema9_ema21_diff : -0.0164107
  9. ema21_ema50_diff : -0.0312277
  10. price_ema100_diff : -0.0697228
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.262438
  14. ema_slope_21 : -0.307491
  15. ema_slope_50 : -0.239072
  16. ema_slope_100 : -0.167044
  17. rsi : 0.395268
  18. adx : 0.690173
  19. kc_percentage : 0.367219
  20. kc_width_percentage : 0.0721575
  21. volume_ema_diff : -0.656544
  22. volume_ema1 : 84433.022364921
  23. volume_ema2 : 245833.96300195
  24. chop : 70.641
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.169511
  28. ema21 : 0.169197
  29. ema50 : 0.170473
  30. ema100 : 0.173486
  31. price_ema9_diff : 0.00701276
  32. ema9_ema21_diff : 0.00185366
  33. ema21_ema50_diff : -0.00748266
  34. price_ema100_diff : -0.0160603
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0353599
  38. ema_slope_21 : -0.00643223
  39. ema_slope_50 : -0.0458281
  40. ema_slope_100 : -0.0596531
  41. rsi : 0.612443
  42. adx : 0.23612
  43. kc_percentage : 0.998001
  44. kc_width_percentage : 0.0177749
  45. volume_ema_diff : -0.89459
  46. volume_ema1 : 5675.0171359264
  47. volume_ema2 : 53837.96817297
  48. chop : 44.4494
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.170118
  52. ema21 : 0.16944
  53. ema50 : 0.169006
  54. ema100 : 0.169131
  55. price_ema9_diff : 0.00341532
  56. ema9_ema21_diff : 0.00400471
  57. ema21_ema50_diff : 0.00256835
  58. price_ema100_diff : 0.00927101
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0869932
  62. ema_slope_21 : 0.0613936
  63. ema_slope_50 : 0.0274695
  64. ema_slope_100 : 0.00982488
  65. rsi : 0.746963
  66. adx : 0.326541
  67. kc_percentage : 1.438
  68. kc_width_percentage : 0.0076258
  69. volume_ema_diff : -0.792571
  70. volume_ema1 : 1267.1716866348
  71. volume_ema2 : 6108.9602959146
  72. chop : 34.9275
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112575
  77. 5m_price_ema100_diff: 
    0.00237056
  78. 5m_price: 
    112842
  79. 5m_correlation_with_coin: 
    0.461602
  80. btc_indicators
  81. 15m_ema100: 
    113256
  82. 15m_price_ema100_diff: 
    -0.00365631
  83. 15m_price: 
    112842
  84. 15m_correlation_with_coin: 
    0.237786
  85. btc_indicators
  86. 1H_ema100: 
    115035
  87. 1H_price_ema100_diff: 
    -0.0190694
  88. 1H_price: 
    112842
  89. 1H_correlation_with_coin: 
    0.026859
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:48:55		 22 Sep 2025
19:35:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1707 0.1712 0.1697 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: 0.1712
  • Take Profit: 0.1697

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1712 - 0.1707 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1707 - 0.1697 = 0.001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.001 / 0.0005 = 2

📌 Position Size

Amount Margin Quantity Leverage
2664.8465 100 15611.286 26.65
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1707 = 2731.2

Donc, tu peux acheter 16000 avec un stoploss a 0.1712

Avec un position size USD de 2731.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 16000
  • Taille de position USD 2731.2
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.59 % 15.61 $
SL % Target SL $ Target
0.29 % 7.81 $
PNL PNL %
-7.81 $ -0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2929 % 100 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1697
            [entry_price] => 0.1707
            [stop_loss] => 0.17125
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 19:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1697
            [entry_price] => 0.1707
            [stop_loss] => 0.1713
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 19:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1697
            [entry_price] => 0.1707
            [stop_loss] => 0.17135
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 20:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1697
            [entry_price] => 0.1707
            [stop_loss] => 0.17145
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00039999999999998
            [max_drawdown] => 0.0005
            [rr_ratio] => 0.8
            [high] => 0.17120000
            [low] => 0.17030000
            [mfe_pct] => 0.23
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 0.8
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:48:55-04:00
            [end_at] => 2025-09-22T19:48:55-04:00
        )

    [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] => 2025-09-22T17:48:55-04:00
            [end_at] => 2025-09-23T00:48:55-04:00
        )

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

)