Short Trade on DOLO 12 Aug 2025 at 20:55:10

Take profit at 0.2303 (1.67 %) and Stop Loss at 0.2368 (1.11 %)

Short Trade on DOLO

The 12 Aug 2025 at 20:55:10

With 3079.2205 DOLO at 0.2342$ per unit.

Position size of 721.1227 $

Take profit at 0.2303 (1.67 %) and Stop Loss at 0.2368 (1.11 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 5.15
Prediction Score: -0.7313
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.48
Prediction 3 Probability
0 0.81
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.104862

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.001732040056
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.232647
  4. ema21 : 0.239309
  5. ema50 : 0.24618
  6. ema100 : 0.241194
  7. price_ema9_diff : 0.006629
  8. ema9_ema21_diff : -0.0278359
  9. ema21_ema50_diff : -0.0279134
  10. price_ema100_diff : -0.0290396
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.440967
  14. adx : 0.195695
  15. kc_percentage : 0.37429
  16. kc_width_percentage : 0.156828
  17. volume_ema_diff : -0.392772
  18. volume_ema1 : 580133.4329854
  19. volume_ema2 : 955380.8225216
  20. ¸
  21. 15m
  22. ema9 : 0.229758
  23. ema21 : 0.229717
  24. ema50 : 0.233815
  25. ema100 : 0.239643
  26. price_ema9_diff : 0.0192864
  27. ema9_ema21_diff : 0.000181817
  28. ema21_ema50_diff : -0.0175275
  29. price_ema100_diff : -0.0227574
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.56873
  33. adx : 0.211303
  34. kc_percentage : 0.82942
  35. kc_width_percentage : 0.0589091
  36. volume_ema_diff : -0.18028
  37. volume_ema1 : 142523.07341277
  38. volume_ema2 : 173868.08735531
  39. ¸
  40. 5m
  41. ema9 : 0.231419
  42. ema21 : 0.229962
  43. ema50 : 0.229283
  44. ema100 : 0.229704
  45. price_ema9_diff : 0.0119728
  46. ema9_ema21_diff : 0.00633312
  47. ema21_ema50_diff : 0.00296092
  48. price_ema100_diff : 0.0195266
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.692216
  52. adx : 0.23622
  53. kc_percentage : 1.1173
  54. kc_width_percentage : 0.0288471
  55. volume_ema_diff : -0.0102615
  56. volume_ema1 : 44161.858528517
  57. volume_ema2 : 44619.727427905
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    119816
  62. 5m_price_ema100_diff:
    -0.000834505
  63. 5m_price:
    119716
  64. 5m_correlation_with_coin:
    0.104862
  65. btc_indicators
  66. 15m_ema100:
    119331
  67. 15m_price_ema100_diff:
    0.00394069
  68. 15m_price:
    119801
  69. btc_indicators
  70. 1H_ema100:
    118780
  71. 1H_price_ema100_diff:
    0.00788636
  72. 1H_price:
    119716
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Aug 2025
20:55:10
12 Aug 2025
21:05:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2342 0.2368 0.2303 1.5 0.03481
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 0.2342
  • Stop Loss: 0.2368
  • Take Profit: 0.2303

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2368 - 0.2342 = 0.0026

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2342 - 0.2303 = 0.0039

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0039 / 0.0026 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
721.1227 100 3079.2205 7.21
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 0.0026

Taille de position = 8 / 0.0026 = 3076.92

Taille de position USD = 3076.92 x 0.2342 = 720.61

Donc, tu peux acheter 3076.92 avec un stoploss a 0.2368

Avec un position size USD de 720.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3076.92 x 0.0026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3076.92 x 0.0039 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 3076.92
  • Taille de position USD 720.61
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.67 % 12.01 $
SL % Target SL $ Target
1.11 % 8.01 $
PNL PNL %
12.01 $ 1.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.229
            [stop_loss] => 0.2368
            [rr_ratio] => 2
            [closed_at] => 2025-08-12 21:55:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.2277
            [stop_loss] => 0.2368
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-12 21:55:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2264
            [stop_loss] => 0.2368
            [rr_ratio] => 3
            [closed_at] => 2025-08-12 21:55:00
            [result] => loss
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    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-08-12 21:55:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 0.2368
            [rr_ratio] => 4
            [closed_at] => 2025-08-12 21:55:00
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        )

    [4.5] => Array
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            [take_profit] => 0.2225
            [stop_loss] => 0.2368
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-12 21:55:00
            [result] => loss
        )

    [5] => Array
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            [take_profit] => 0.2212
            [stop_loss] => 0.2368
            [rr_ratio] => 5
            [closed_at] => 2025-08-12 21:55:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 0.2199
            [stop_loss] => 0.2368
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-12 21:55:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2186
            [stop_loss] => 0.2368
            [rr_ratio] => 6
            [closed_at] => 2025-08-12 21:55:00
            [result] => loss
        )

    [6.5] => Array
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            [rr_ratio] => 6.5
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            [result] => loss
        )

    [7] => Array
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            [take_profit] => 0.216
            [stop_loss] => 0.2368
            [rr_ratio] => 7
            [closed_at] => 2025-08-12 21:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00517
            [max_drawdown] => 0.00268
            [rr_ratio] => 1.93
            [high] => 0.23688000
            [low] => 0.22903000
            [mfe_pct] => 2.21
            [mae_pct] => 1.14
            [mfe_mae_ratio] => 1.93
            [candles_analyzed] => 24
            [start_at] => 2025-08-12T20:55:10-04:00
            [end_at] => 2025-08-12T22:55:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02161
            [max_drawdown] => 0.00808
            [rr_ratio] => 2.67
            [high] => 0.24228000
            [low] => 0.21259000
            [mfe_pct] => 9.23
            [mae_pct] => 3.45
            [mfe_mae_ratio] => 2.67
            [candles_analyzed] => 84
            [start_at] => 2025-08-12T20:55:10-04:00
            [end_at] => 2025-08-13T03:55:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23532000
            [high_after] => 0.24228000
            [low_before] => 0.22082000
            [low_after] => 0.21259000
            [is_new_high] => 
            [is_new_low] => 1
        )

)