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Long Trade on DOT

Long Trade on DOT

The 16 Jul 2025 at 19:20:36

With 289.5371 DOT at 4.148$ per unit.

Position size of 1200.9999 $

Take profit at 4.1894 (1 %) and Stop Loss at 4.1204 (0.67 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 50
ML Pullback Score: 4.51
Prediction Score: -0.3846
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.62
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.621272

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0184202069
Details
  1. score: 2.09
  2. 1H
  3. ema9 - 4.17572
  4. ema21 - 4.13841
  5. ema50 - 4.0743
  6. ema100 - 4.01749
  7. price_ema9_diff - -0.00663924
  8. ema9_ema21_diff - 0.00901426
  9. ema21_ema50_diff - 0.0157359
  10. price_ema100_diff - 0.032483
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.53701
  14. kc_percentage - 0.526563
  15. kc_width_percentage - 0.0585435
  16. volume_ema_diff - 0.345496
  17. volume_ema1 - 2430079.9670288
  18. volume_ema2 - 1806084.3343771
    19. ¸
  19. 15m
  20. ema9 - 4.1944
  21. ema21 - 4.19752
  22. ema50 - 4.17203
  23. ema100 - 4.13614
  24. price_ema9_diff - -0.0110628
  25. ema9_ema21_diff - -0.000743704
  26. ema21_ema50_diff - 0.00611014
  27. price_ema100_diff - 0.00286605
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.392788
  31. kc_percentage - 0.127406
  32. kc_width_percentage - 0.0324229
  33. volume_ema_diff - 0.147394
  34. volume_ema1 - 683555.12587992
  35. volume_ema2 - 595745.61283223
    36. ¸
  36. 5m
  37. ema9 - 4.16991
  38. ema21 - 4.19314
  39. ema50 - 4.20193
  40. ema100 - 4.19607
  41. price_ema9_diff - -0.00525601
  42. ema9_ema21_diff - -0.00554064
  43. ema21_ema50_diff - -0.00208956
  44. price_ema100_diff - -0.0114561
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.352123
  48. kc_percentage - -0.094161
  49. kc_width_percentage - 0.0178649
  50. volume_ema_diff - -0.216515
  51. volume_ema1 - 198288.05979708
  52. volume_ema2 - 253084.79734205
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 119271
  56. 5m_price_ema100_diff: -0.00745346
  57. 5m_price: 118382
  58. 5m_correlation_with_coin: 0.621272
  59. btc_indicators
  60. 15m_ema100: 118688
  61. 15m_price_ema100_diff: -0.00257655
  62. 15m_price: 118382
  63. btc_indicators
  64. 1H_ema100: 118354
  65. 1H_price_ema100_diff: 0.000239232
  66. 1H_price: 118382
    67. ¸

📌 Time Data

Start at Closed at Duration
16 Jul 2025
19:20:36		 16 Jul 2025
20:15:00		 54 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.148 4.1204 4.1894 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 4.148
  • Stop Loss: 4.1204
  • Take Profit: 4.1894

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.1204 - 4.148 = -0.0276

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.148 - 4.1894 = -0.0414

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0414 / -0.0276 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1200.9999 100 289.5371 12.01
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 -0.0276

Taille de position = 8 / -0.0276 = -289.86

Taille de position USD = -289.86 x 4.148 = -1202.34

Donc, tu peux acheter -289.86 avec un stoploss a 4.1204

Avec un position size USD de -1202.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -289.86 x -0.0276 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -289.86 x -0.0414 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -289.86
  • Taille de position USD -1202.34
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1 % 11.99 $
SL % Target SL $ Target
0.67 % 7.99 $
PNL PNL %
11.87 $ 0.99
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0482 % 7.14 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4.204
            [stop_loss] => 4.12
            [rr_ratio] => 2
            [closed_at] => 2025-07-16 20:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.218
            [stop_loss] => 4.12
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-16 20:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4.232
            [stop_loss] => 4.12
            [rr_ratio] => 3
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 4.246
            [stop_loss] => 4.12
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 4.26
            [stop_loss] => 4.12
            [rr_ratio] => 4
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 4.274
            [stop_loss] => 4.12
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 4.288
            [stop_loss] => 4.12
            [rr_ratio] => 5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 4.302
            [stop_loss] => 4.12
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 4.316
            [stop_loss] => 4.12
            [rr_ratio] => 6
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 4.33
            [stop_loss] => 4.12
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 4.344
            [stop_loss] => 4.12
            [rr_ratio] => 7
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.07
            [max_drawdown] => 0.011
            [rr_ratio] => 6.36
            [high] => 4.21800000
            [low] => 4.13700000
            [mfe_pct] => 1.69
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 6.36
            [candles_analyzed] => 24
            [start_at] => 2025-07-16T19:20:36-04:00
            [end_at] => 2025-07-16T21:20:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.07
            [max_drawdown] => 0.082
            [rr_ratio] => 0.85
            [high] => 4.21800000
            [low] => 4.06600000
            [mfe_pct] => 1.69
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 0.85
            [candles_analyzed] => 72
            [start_at] => 2025-07-16T19:20:36-04:00
            [end_at] => 2025-07-17T01:20:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.27000000
            [high_after] => 4.21800000
            [low_before] => 4.13700000
            [low_after] => 4.06600000
            [is_new_high] => 
            [is_new_low] => 
        )

)