Short Trade on DOLO 13 Aug 2025 at 11:36:47

Take profit at 0.2242 (1.62 %) and Stop Loss at 0.2303 (1.05 %)

Short Trade on DOLO

The 13 Aug 2025 at 11:36:47

With 3250.2732 DOLO at 0.2279$ per unit.

Position size of 740.6722 $

Take profit at 0.2242 (1.62 %) and Stop Loss at 0.2303 (1.05 %)

That's a 1.54 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 2.18
Prediction Score: -0.1563
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.86
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.080427

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.001640887725
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 0.224185
  4. ema21 : 0.228342
  5. ema50 : 0.237393
  6. ema100 : 0.240933
  7. price_ema9_diff : 0.0164809
  8. ema9_ema21_diff : -0.0182061
  9. ema21_ema50_diff : -0.0381248
  10. price_ema100_diff : -0.05418
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.475498
  14. adx : 0.209223
  15. kc_percentage : 0.497959
  16. kc_width_percentage : 0.141889
  17. volume_ema_diff : -0.414087
  18. volume_ema1 : 565145.28410334
  19. volume_ema2 : 964555.48420083
  20. ¸
  21. 15m
  22. ema9 : 0.223592
  23. ema21 : 0.222807
  24. ema50 : 0.22451
  25. ema100 : 0.228128
  26. price_ema9_diff : 0.0191749
  27. ema9_ema21_diff : 0.00352477
  28. ema21_ema50_diff : -0.00758458
  29. price_ema100_diff : -0.00108856
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.608382
  33. adx : 0.148661
  34. kc_percentage : 0.886507
  35. kc_width_percentage : 0.0577096
  36. volume_ema_diff : -0.536576
  37. volume_ema1 : 93465.019781251
  38. volume_ema2 : 201683.91976658
  39. ¸
  40. 5m
  41. ema9 : 0.225637
  42. ema21 : 0.223468
  43. ema50 : 0.222362
  44. ema100 : 0.221854
  45. price_ema9_diff : 0.00993994
  46. ema9_ema21_diff : 0.00970383
  47. ema21_ema50_diff : 0.00497681
  48. price_ema100_diff : 0.0271603
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.708084
  52. adx : 0.279582
  53. kc_percentage : 1.16667
  54. kc_width_percentage : 0.0283844
  55. volume_ema_diff : -0.42313
  56. volume_ema1 : 27269.551020443
  57. volume_ema2 : 47271.602417004
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    120526
  62. 5m_price_ema100_diff:
    0.00166766
  63. 5m_price:
    120727
  64. 5m_correlation_with_coin:
    0.080427
  65. btc_indicators
  66. 15m_ema100:
    120017
  67. 15m_price_ema100_diff:
    0.00629628
  68. 15m_price:
    120772
  69. btc_indicators
  70. 1H_ema100:
    119144
  71. 1H_price_ema100_diff:
    0.013285
  72. 1H_price:
    120727
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Aug 2025
11:36:47
13 Aug 2025
12:10:00
33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2279 0.2303 0.2242 1.54 0.03657
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 0.2279
  • Stop Loss: 0.2303
  • Take Profit: 0.2242

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2303 - 0.2279 = 0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2279 - 0.2242 = 0.0037

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0037 / 0.0024 = 1.5417

📌 Position Size

Amount Margin Quantity Leverage
740.6722 100 3250.2732 7.41
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 0.0024

Taille de position = 8 / 0.0024 = 3333.33

Taille de position USD = 3333.33 x 0.2279 = 759.67

Donc, tu peux acheter 3333.33 avec un stoploss a 0.2303

Avec un position size USD de 759.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3333.33 x 0.0024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3333.33 x 0.0037 = 12.33

Si Take Profit atteint, tu gagneras 12.33$

Résumé

  • Taille de position 3333.33
  • Taille de position USD 759.67
  • Perte potentielle 8
  • Gain potentiel 12.33
  • Risk-Reward Ratio 1.5417

📌 Peformances

TP % Target TP $ Target
1.62 % 12.03 $
SL % Target SL $ Target
1.05 % 7.8 $
PNL PNL %
12.02 $ 1.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6582 % 62.5 % 3

📌 ML Extra Data

Extra TP Data

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    [2] => Array
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            [take_profit] => 0.2231
            [stop_loss] => 0.2303
            [rr_ratio] => 2
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
        )

    [2.5] => Array
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            [take_profit] => 0.2219
            [stop_loss] => 0.2303
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
        )

    [3] => Array
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            [take_profit] => 0.2207
            [stop_loss] => 0.2303
            [rr_ratio] => 3
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
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    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
        )

    [4] => Array
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            [take_profit] => 0.2183
            [stop_loss] => 0.2303
            [rr_ratio] => 4
            [closed_at] => 2025-08-13 15:20:00
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    [4.5] => Array
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            [take_profit] => 0.2171
            [stop_loss] => 0.2303
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
        )

    [5] => Array
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            [take_profit] => 0.2159
            [stop_loss] => 0.2303
            [rr_ratio] => 5
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 0.2147
            [stop_loss] => 0.2303
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
        )

    [6] => Array
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            [take_profit] => 0.2135
            [stop_loss] => 0.2303
            [rr_ratio] => 6
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
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    [6.5] => Array
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            [rr_ratio] => 6.5
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
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    [7] => Array
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            [take_profit] => 0.2111
            [stop_loss] => 0.2303
            [rr_ratio] => 7
            [closed_at] => 2025-08-13 15:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.00405
            [max_drawdown] => 0.00163
            [rr_ratio] => 2.48
            [high] => 0.22953000
            [low] => 0.22385000
            [mfe_pct] => 1.78
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 2.48
            [candles_analyzed] => 24
            [start_at] => 2025-08-13T11:36:47-04:00
            [end_at] => 2025-08-13T13:36:47-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.00405
            [max_drawdown] => 0.01262
            [rr_ratio] => 0.32
            [high] => 0.24052000
            [low] => 0.22385000
            [mfe_pct] => 1.78
            [mae_pct] => 5.54
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 84
            [start_at] => 2025-08-13T11:36:47-04:00
            [end_at] => 2025-08-13T18:36:47-04:00
        )

    [breakout] => Array
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            [high_before] => 0.22842000
            [high_after] => 0.24052000
            [low_before] => 0.21700000
            [low_after] => 0.22385000
            [is_new_high] => 
            [is_new_low] => 
        )

)