Short Trade on IOTA 19 Jul 2025 at 12:32:49

Take profit at 0.2268 (0.83 %) and Stop Loss at 0.23 (0.57 %)

Short Trade on IOTA

The 19 Jul 2025 at 12:32:49

With 6397.7969 IOTA at 0.2287$ per unit.

Position size of 1463.1762 $

Take profit at 0.2268 (0.83 %) and Stop Loss at 0.23 (0.57 %)

That's a 1.46 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 2.91
Prediction Score: -0.0542
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.53
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.615317

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0008336202888
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.227269
  4. ema21 : 0.229146
  5. ema50 : 0.231252
  6. ema100 : 0.229954
  7. price_ema9_diff : 0.00629554
  8. ema9_ema21_diff : -0.00819338
  9. ema21_ema50_diff : -0.00910499
  10. price_ema100_diff : -0.00545582
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.476137
  14. kc_percentage : 0.480597
  15. kc_width_percentage : 0.0654417
  16. volume_ema_diff : -0.651838
  17. volume_ema1 : 115539.49652125
  18. volume_ema2 : 331856.12692268
  19. ¸
  20. 15m
  21. ema9 : 0.226938
  22. ema21 : 0.226758
  23. ema50 : 0.227605
  24. ema100 : 0.228693
  25. price_ema9_diff : 0.00776325
  26. ema9_ema21_diff : 0.000791964
  27. ema21_ema50_diff : -0.00372074
  28. price_ema100_diff : 3.05632E-5
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.567367
  32. kc_percentage : 0.794937
  33. kc_width_percentage : 0.0291025
  34. volume_ema_diff : -0.633305
  35. volume_ema1 : 15937.704107647
  36. volume_ema2 : 43463.17995096
  37. ¸
  38. 5m
  39. ema9 : 0.227464
  40. ema21 : 0.226725
  41. ema50 : 0.226468
  42. ema100 : 0.22684
  43. price_ema9_diff : 0.00543093
  44. ema9_ema21_diff : 0.00325993
  45. ema21_ema50_diff : 0.00113397
  46. price_ema100_diff : 0.00819527
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.670725
  50. kc_percentage : 1.09483
  51. kc_width_percentage : 0.0142287
  52. volume_ema_diff : -0.473306
  53. volume_ema1 : 5609.3709436443
  54. volume_ema2 : 10650.167407246
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    118083
  59. 5m_price_ema100_diff:
    5.25776E-5
  60. 5m_price:
    118089
  61. 5m_correlation_with_coin:
    0.615317
  62. btc_indicators
  63. 15m_ema100:
    118013
  64. 15m_price_ema100_diff:
    0.000645818
  65. 15m_price:
    118089
  66. btc_indicators
  67. 1H_ema100:
    118391
  68. 1H_price_ema100_diff:
    -0.00255512
  69. 1H_price:
    118089
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
19 Jul 2025
12:32:49
19 Jul 2025
13:25:00
52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2287 0.23 0.2268 1.46 0.0695
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 0.2287
  • Stop Loss: 0.23
  • Take Profit: 0.2268

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.23 - 0.2287 = 0.0013

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2287 - 0.2268 = 0.0019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0019 / 0.0013 = 1.4615

📌 Position Size

Amount Margin Quantity Leverage
1463.1762 100 6397.7969 14.63
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 0.0013

Taille de position = 8 / 0.0013 = 6153.85

Taille de position USD = 6153.85 x 0.2287 = 1407.39

Donc, tu peux acheter 6153.85 avec un stoploss a 0.23

Avec un position size USD de 1407.39$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6153.85 x 0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6153.85 x 0.0019 = 11.69

Si Take Profit atteint, tu gagneras 11.69$

Résumé

  • Taille de position 6153.85
  • Taille de position USD 1407.39
  • Perte potentielle 8
  • Gain potentiel 11.69
  • Risk-Reward Ratio 1.4615

📌 Peformances

TP % Target TP $ Target
0.83 % 12.16 $
SL % Target SL $ Target
0.57 % 8.32 $
PNL PNL %
12.16 $ 0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0437 % 7.69 % 1

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.2261
            [stop_loss] => 0.23
            [rr_ratio] => 2
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.22545
            [stop_loss] => 0.23
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2248
            [stop_loss] => 0.23
            [rr_ratio] => 3
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
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    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 0.23
            [rr_ratio] => 4
            [closed_at] => 2025-07-19 15:15:00
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    [4.5] => Array
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            [take_profit] => 0.22285
            [stop_loss] => 0.23
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2222
            [stop_loss] => 0.23
            [rr_ratio] => 5
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.22155
            [stop_loss] => 0.23
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2209
            [stop_loss] => 0.23
            [rr_ratio] => 6
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
        )

    [6.5] => Array
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            [take_profit] => 0.22025
            [stop_loss] => 0.23
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
        )

    [7] => Array
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            [take_profit] => 0.2196
            [stop_loss] => 0.23
            [rr_ratio] => 7
            [closed_at] => 2025-07-19 15:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.0026
            [max_drawdown] => 0.00080000000000002
            [rr_ratio] => 3.25
            [high] => 0.22950000
            [low] => 0.22610000
            [mfe_pct] => 1.14
            [mae_pct] => 0.35
            [mfe_mae_ratio] => 3.25
            [candles_analyzed] => 24
            [start_at] => 2025-07-19T12:32:49-04:00
            [end_at] => 2025-07-19T14:32:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0026
            [max_drawdown] => 0.005
            [rr_ratio] => 0.52
            [high] => 0.23370000
            [low] => 0.22610000
            [mfe_pct] => 1.14
            [mae_pct] => 2.19
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 72
            [start_at] => 2025-07-19T12:32:49-04:00
            [end_at] => 2025-07-19T18:32:49-04:00
        )

    [breakout] => Array
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            [high_before] => 0.22900000
            [high_after] => 0.23370000
            [low_before] => 0.22230000
            [low_after] => 0.22610000
            [is_new_high] => 
            [is_new_low] => 
        )

)