Short Trade on DOLO 10 Sep 2025 at 20:25:32

Take profit at 0.1747 (1.19 %) and Stop Loss at 0.1778 (0.57 %)

Short Trade on DOLO

The 10 Sep 2025 at 20:25:32

With 7559.6352 DOLO at 0.1768$ per unit.

Position size of 1336.4679 $

Take profit at 0.1747 (1.19 %) and Stop Loss at 0.1778 (0.57 %)

That's a 2.1 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.69
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.81
Prediction 2 Probability
0 0.52
Prediction 3 Probability
1 0.72
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.09237

15m : -0.11966

1H : -0.090614

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0007055014134
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.176355
  4. ema21 : 0.179434
  5. ema50 : 0.182578
  6. ema100 : 0.185872
  7. price_ema9_diff : 0.00246613
  8. ema9_ema21_diff : -0.017163
  9. ema21_ema50_diff : -0.0172183
  10. price_ema100_diff : -0.0488654
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.460931
  14. ema_slope_21 : -0.316378
  15. ema_slope_50 : -0.167102
  16. ema_slope_100 : -0.110314
  17. rsi : 0.425654
  18. adx : 0.175603
  19. kc_percentage : 0.334803
  20. kc_width_percentage : 0.0841556
  21. volume_ema_diff : -0.598156
  22. volume_ema1 : 179842.82068625
  23. volume_ema2 : 447544.52949088
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.175088
  28. ema21 : 0.174981
  29. ema50 : 0.177453
  30. ema100 : 0.180682
  31. price_ema9_diff : 0.00972063
  32. ema9_ema21_diff : 0.000606994
  33. ema21_ema50_diff : -0.0139311
  34. price_ema100_diff : -0.0215417
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0844638
  38. ema_slope_21 : -0.00626623
  39. ema_slope_50 : -0.0766899
  40. ema_slope_100 : -0.0738365
  41. rsi : 0.553324
  42. adx : 0.10312
  43. kc_percentage : 0.889588
  44. kc_width_percentage : 0.0269074
  45. volume_ema_diff : -0.728106
  46. volume_ema1 : 26412.597034093
  47. volume_ema2 : 97143.228110296
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.175895
  52. ema21 : 0.175293
  53. ema50 : 0.174746
  54. ema100 : 0.175046
  55. price_ema9_diff : 0.00508563
  56. ema9_ema21_diff : 0.00343499
  57. ema21_ema50_diff : 0.00312846
  58. price_ema100_diff : 0.00995993
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0654115
  62. ema_slope_21 : 0.0513447
  63. ema_slope_50 : 0.0281575
  64. ema_slope_100 : 0.00803004
  65. rsi : 0.731363
  66. adx : 0.27611
  67. kc_percentage : 1.01625
  68. kc_width_percentage : 0.015965
  69. volume_ema_diff : -0.684817
  70. volume_ema1 : 6852.1975783441
  71. volume_ema2 : 21740.435687292
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113716
  77. 5m_price_ema100_diff:
    0.00110458
  78. 5m_price:
    113841
  79. 5m_correlation_with_coin:
    0.09237
  80. btc_indicators
  81. 15m_ema100:
    112957
  82. 15m_price_ema100_diff:
    0.00732084
  83. 15m_price:
    113784
  84. 15m_correlation_with_coin:
    -0.11966
  85. btc_indicators
  86. 1H_ema100:
    111935
  87. 1H_price_ema100_diff:
    0.0170281
  88. 1H_price:
    113841
  89. 1H_correlation_with_coin:
    -0.090614
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
20:25:32
10 Sep 2025
20:35:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1768 0.1778 0.1747 2.1 0.03549
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 0.1768
  • Stop Loss: 0.1778
  • Take Profit: 0.1747

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1778 - 0.1768 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1768 - 0.1747 = 0.0021

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0021 / 0.001 = 2.1

📌 Position Size

Amount Margin Quantity Leverage
1336.4679 100 7559.6352 13.36
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1768 = 1414.4

Donc, tu peux acheter 8000 avec un stoploss a 0.1778

Avec un position size USD de 1414.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0021 = 16.8

Si Take Profit atteint, tu gagneras 16.8$

Résumé

  • Taille de position 8000
  • Taille de position USD 1414.4
  • Perte potentielle 8
  • Gain potentiel 16.8
  • Risk-Reward Ratio 2.1

📌 Peformances

TP % Target TP $ Target
1.19 % 15.88 $
SL % Target SL $ Target
0.57 % 7.56 $
PNL PNL %
-7.56 $ -0.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0577 % 187 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1747
            [entry_price] => 0.1768
            [stop_loss] => 0.1779
            [rr_ratio] => 1.91
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 20:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1747
            [entry_price] => 0.1768
            [stop_loss] => 0.178
            [rr_ratio] => 1.75
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 20:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1747
            [entry_price] => 0.1768
            [stop_loss] => 0.1781
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 20:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1747
            [entry_price] => 0.1768
            [stop_loss] => 0.1783
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 20:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 6.0000000000004E-5
            [max_drawdown] => 0.00301
            [rr_ratio] => 0.02
            [high] => 0.17981000
            [low] => 0.17674000
            [mfe_pct] => 0.03
            [mae_pct] => 1.7
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T20:25:32-04:00
            [end_at] => 2025-09-10T22:25:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0034
            [max_drawdown] => 0.00301
            [rr_ratio] => 1.13
            [high] => 0.17981000
            [low] => 0.17340000
            [mfe_pct] => 1.92
            [mae_pct] => 1.7
            [mfe_mae_ratio] => 1.13
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T20:25:32-04:00
            [end_at] => 2025-09-11T03:25:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17707000
            [high_after] => 0.17981000
            [low_before] => 0.17186000
            [low_after] => 0.17380000
            [is_new_high] => 
            [is_new_low] => 
        )

)