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Short Trade on DOT

Short Trade on DOT

The 15 Jul 2025 at 08:34:41

With 371.7 DOT at 3.909$ per unit.

Position size of 1452.9752 $

Take profit at 3.8767 (0.83 %) and Stop Loss at 3.9305 (0.55 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 60
ML Pullback Score: 3.21
Prediction Score: 0.4033
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
1 0.42
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.72005

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.01434848997
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 3.88813
  4. ema21 - 3.91779
  5. ema50 - 3.9568
  6. ema100 - 3.96941
  7. price_ema9_diff - 0.0053653
  8. ema9_ema21_diff - -0.00756952
  9. ema21_ema50_diff - -0.00985836
  10. price_ema100_diff - -0.0152203
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.457251
  14. kc_percentage - 0.468316
  15. kc_width_percentage - 0.0503954
  16. volume_ema_diff - -0.0498369
  17. volume_ema1 - 1424254.464518
  18. volume_ema2 - 1498957.994359
    19. ¸
  19. 15m
  20. ema9 - 3.88131
  21. ema21 - 3.87843
  22. ema50 - 3.89165
  23. ema100 - 3.93083
  24. price_ema9_diff - 0.00713239
  25. ema9_ema21_diff - 0.00074301
  26. ema21_ema50_diff - -0.00339749
  27. price_ema100_diff - -0.00555418
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.597494
  31. kc_percentage - 0.815021
  32. kc_width_percentage - 0.0248081
  33. volume_ema_diff - 0.953998
  34. volume_ema1 - 689103.12359946
  35. volume_ema2 - 352663.01902055
    36. ¸
  36. 5m
  37. ema9 - 3.87872
  38. ema21 - 3.87663
  39. ema50 - 3.87532
  40. ema100 - 3.87165
  41. price_ema9_diff - 0.00780552
  42. ema9_ema21_diff - 0.000540142
  43. ema21_ema50_diff - 0.00033797
  44. price_ema100_diff - 0.00964558
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.658353
  48. kc_percentage - 1.01853
  49. kc_width_percentage - 0.0159483
  50. volume_ema_diff - 3.08897
  51. volume_ema1 - 587606.85543202
  52. volume_ema2 - 143705.19002447
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 116974
  56. 5m_price_ema100_diff: 0.00277689
  57. 5m_price: 117299
  58. 5m_correlation_with_coin: 0.72005
  59. btc_indicators
  60. 15m_ema100: 118544
  61. 15m_price_ema100_diff: -0.0105022
  62. 15m_price: 117299
  63. btc_indicators
  64. 1H_ema100: 118726
  65. 1H_price_ema100_diff: -0.0120132
  66. 1H_price: 117299
    67. ¸

📌 Time Data

Start at Closed at Duration
15 Jul 2025
08:34:41		 15 Jul 2025
08:35:00		 19 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.909 3.9305 3.8767 1.5 1.882
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 3.909
  • Stop Loss: 3.9305
  • Take Profit: 3.8767

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.9305 - 3.909 = 0.0215

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.909 - 3.8767 = 0.0323

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0323 / 0.0215 = 1.5023

📌 Position Size

Amount Margin Quantity Leverage
1452.9752 100 371.7 14.53
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 0.0215

Taille de position = 8 / 0.0215 = 372.09

Taille de position USD = 372.09 x 3.909 = 1454.5

Donc, tu peux acheter 372.09 avec un stoploss a 3.9305

Avec un position size USD de 1454.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 372.09 x 0.0215 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 372.09 x 0.0323 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 372.09
  • Taille de position USD 1454.5
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5023

📌 Peformances

TP % Target TP $ Target
0.83 % 12.01 $
SL % Target SL $ Target
0.55 % 7.99 $
PNL PNL %
11.89 $ 0.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1535 % 27.27 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.865
            [stop_loss] => 3.931
            [rr_ratio] => 2
            [closed_at] => 2025-07-15 08:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.854
            [stop_loss] => 3.931
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-15 08:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.843
            [stop_loss] => 3.931
            [rr_ratio] => 3
            [closed_at] => 2025-07-15 08:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.832
            [stop_loss] => 3.931
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-15 09:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.821
            [stop_loss] => 3.931
            [rr_ratio] => 4
            [closed_at] => 2025-07-15 09:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.81
            [stop_loss] => 3.931
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-15 09:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.799
            [stop_loss] => 3.931
            [rr_ratio] => 5
            [closed_at] => 2025-07-15 09:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.788
            [stop_loss] => 3.931
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-15 09:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.777
            [stop_loss] => 3.931
            [rr_ratio] => 6
            [closed_at] => 2025-07-15 09:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 3.766
            [stop_loss] => 3.931
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-15 09:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 3.755
            [stop_loss] => 3.931
            [rr_ratio] => 7
            [closed_at] => 2025-07-15 09:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.069
            [max_drawdown] => 0.056
            [rr_ratio] => 1.23
            [high] => 3.96500000
            [low] => 3.84000000
            [mfe_pct] => 1.77
            [mae_pct] => 1.43
            [mfe_mae_ratio] => 1.23
            [candles_analyzed] => 24
            [start_at] => 2025-07-15T08:34:41-04:00
            [end_at] => 2025-07-15T10:34:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.073
            [max_drawdown] => 0.19
            [rr_ratio] => 0.38
            [high] => 4.09900000
            [low] => 3.83600000
            [mfe_pct] => 1.87
            [mae_pct] => 4.86
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 72
            [start_at] => 2025-07-15T08:34:41-04:00
            [end_at] => 2025-07-15T14:34:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.92400000
            [high_after] => 4.09900000
            [low_before] => 3.85100000
            [low_after] => 3.83600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)