Short Trade on DOLO 05 Sep 2025 at 01:08:17

Take profit at 0.1694 (1.97 %) and Stop Loss at 0.1745 (0.98 %)

Short Trade on DOLO

The 05 Sep 2025 at 01:08:17

With 4759.0797 DOLO at 0.1728$ per unit.

Position size of 822.2738 $

Take profit at 0.1694 (1.97 %) and Stop Loss at 0.1745 (0.98 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.78
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.96
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bull_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.155854

15m : 0.101798

1H : 0.24747

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.001120664842
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.17117
  4. ema21 : 0.173291
  5. ema50 : 0.184862
  6. ema100 : 0.209695
  7. price_ema9_diff : 0.00940031
  8. ema9_ema21_diff : -0.0122354
  9. ema21_ema50_diff : -0.0625937
  10. price_ema100_diff : -0.176043
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0986684
  14. ema_slope_21 : -0.150164
  15. ema_slope_50 : -0.339428
  16. ema_slope_100 : -0.384991
  17. rsi : 0.458976
  18. adx : 0.30103
  19. kc_percentage : 0.485671
  20. kc_width_percentage : 0.0980053
  21. volume_ema_diff : -0.413611
  22. volume_ema1 : 343601.16401245
  23. volume_ema2 : 585961.50628088
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.170162
  28. ema21 : 0.170057
  29. ema50 : 0.170956
  30. ema100 : 0.173275
  31. price_ema9_diff : 0.0153806
  32. ema9_ema21_diff : 0.000622029
  33. ema21_ema50_diff : -0.00525956
  34. price_ema100_diff : -0.00285744
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0141085
  38. ema_slope_21 : -0.0715712
  39. ema_slope_50 : -0.0574202
  40. ema_slope_100 : -0.0565148
  41. rsi : 0.615548
  42. adx : 0.205596
  43. kc_percentage : 0.869067
  44. kc_width_percentage : 0.0431745
  45. volume_ema_diff : 0.203591
  46. volume_ema1 : 142078.28728287
  47. volume_ema2 : 118045.2433678
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.171238
  52. ema21 : 0.169995
  53. ema50 : 0.169746
  54. ema100 : 0.170971
  55. price_ema9_diff : 0.00900422
  56. ema9_ema21_diff : 0.0073125
  57. ema21_ema50_diff : 0.00146204
  58. price_ema100_diff : 0.010577
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.17932
  62. ema_slope_21 : 0.108349
  63. ema_slope_50 : 0.0308069
  64. ema_slope_100 : -0.00403996
  65. rsi : 0.687474
  66. adx : 0.41951
  67. kc_percentage : 1.06571
  68. kc_width_percentage : 0.027863
  69. volume_ema_diff : 0.0378013
  70. volume_ema1 : 42848.302699572
  71. volume_ema2 : 41287.577459669
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110949
  77. 5m_price_ema100_diff:
    0.00439684
  78. 5m_price:
    111437
  79. 5m_correlation_with_coin:
    0.155854
  80. btc_indicators
  81. 15m_ema100:
    110695
  82. 15m_price_ema100_diff:
    0.00670169
  83. 15m_price:
    111437
  84. 15m_correlation_with_coin:
    0.101798
  85. btc_indicators
  86. 1H_ema100:
    110265
  87. 1H_price_ema100_diff:
    0.010628
  88. 1H_price:
    111437
  89. 1H_correlation_with_coin:
    0.24747
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
05 Sep 2025
01:08:17
05 Sep 2025
01:35:00
26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1728 0.1745 0.1694 2 0.03446
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 0.1728
  • Stop Loss: 0.1745
  • Take Profit: 0.1694

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1745 - 0.1728 = 0.0017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1728 - 0.1694 = 0.0034

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0034 / 0.0017 = 2

📌 Position Size

Amount Margin Quantity Leverage
822.2738 100 4759.0797 8.22
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 0.0017

Taille de position = 8 / 0.0017 = 4705.88

Taille de position USD = 4705.88 x 0.1728 = 813.18

Donc, tu peux acheter 4705.88 avec un stoploss a 0.1745

Avec un position size USD de 813.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4705.88 x 0.0017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4705.88 x 0.0034 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4705.88
  • Taille de position USD 813.18
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.97 % 16.18 $
SL % Target SL $ Target
0.98 % 8.09 $
PNL PNL %
-8.09 $ -0.98
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4641 % 148.82 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1694
            [entry_price] => 0.1728
            [stop_loss] => 0.17467
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-05 01:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1694
            [entry_price] => 0.1728
            [stop_loss] => 0.17484
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-05 01:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1694
            [entry_price] => 0.1728
            [stop_loss] => 0.17501
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-05 01:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1694
            [entry_price] => 0.1728
            [stop_loss] => 0.17535
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-05 01:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00163
            [max_drawdown] => 0.00443
            [rr_ratio] => 0.37
            [high] => 0.17723000
            [low] => 0.17117000
            [mfe_pct] => 0.94
            [mae_pct] => 2.56
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-09-05T01:08:17-04:00
            [end_at] => 2025-09-05T03:08:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00356
            [max_drawdown] => 0.00443
            [rr_ratio] => 0.8
            [high] => 0.17723000
            [low] => 0.16924000
            [mfe_pct] => 2.06
            [mae_pct] => 2.56
            [mfe_mae_ratio] => 0.8
            [candles_analyzed] => 84
            [start_at] => 2025-09-05T01:08:17-04:00
            [end_at] => 2025-09-05T08:08:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17405000
            [high_after] => 0.17723000
            [low_before] => 0.16579000
            [low_after] => 0.16924000
            [is_new_high] => 
            [is_new_low] => 
        )

)