Long Trade on DOLO 10 Sep 2025 at 03:52:21

Take profit at 0.1942 (2.64 %) and Stop Loss at 0.1867 (1.32 %)

Long Trade on DOLO

The 10 Sep 2025 at 03:52:21

With 3198.1888 DOLO at 0.1892$ per unit.

Position size of 604.9694 $

Take profit at 0.1942 (2.64 %) and Stop Loss at 0.1867 (1.32 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.12
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.46
Prediction 3 Probability
1 0.66
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high_confirmed

BTC Correlation Score

5m : 0.004254

15m : 0.086481

1H : 0.066314

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.001667610539
Details
  1. score: 2.06
  2. 1H
  3. ema9 : 0.190094
  4. ema21 : 0.187252
  5. ema50 : 0.186192
  6. ema100 : 0.186756
  7. price_ema9_diff : -0.00491401
  8. ema9_ema21_diff : 0.0151728
  9. ema21_ema50_diff : 0.00569717
  10. price_ema100_diff : 0.0128677
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.356959
  14. ema_slope_21 : 0.237652
  15. ema_slope_50 : 0.0823225
  16. ema_slope_100 : 0.0265732
  17. rsi : 0.534319
  18. adx : 0.391522
  19. kc_percentage : 0.585608
  20. kc_width_percentage : 0.108325
  21. volume_ema_diff : 0.0513957
  22. volume_ema1 : 450135.35410193
  23. volume_ema2 : 428131.24038929
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.192354
  28. ema21 : 0.191245
  29. ema50 : 0.188744
  30. ema100 : 0.186582
  31. price_ema9_diff : -0.0166052
  32. ema9_ema21_diff : 0.0057973
  33. ema21_ema50_diff : 0.0132499
  34. price_ema100_diff : 0.0138136
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.17927
  38. ema_slope_21 : 0.156268
  39. ema_slope_50 : 0.115454
  40. ema_slope_100 : 0.0776412
  41. rsi : 0.493426
  42. adx : 0.415994
  43. kc_percentage : 0.299893
  44. kc_width_percentage : 0.057886
  45. volume_ema_diff : -0.318694
  46. volume_ema1 : 75254.199610233
  47. volume_ema2 : 110455.80206233
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.192001
  52. ema21 : 0.192824
  53. ema50 : 0.192001
  54. ema100 : 0.190459
  55. price_ema9_diff : -0.0147979
  56. ema9_ema21_diff : -0.00426993
  57. ema21_ema50_diff : 0.00428813
  58. price_ema100_diff : -0.00682082
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.105112
  62. ema_slope_21 : -0.0275102
  63. ema_slope_50 : 0.0226161
  64. ema_slope_100 : 0.0297677
  65. rsi : 0.35208
  66. adx : 0.205762
  67. kc_percentage : -0.0580235
  68. kc_width_percentage : 0.0346337
  69. volume_ema_diff : 0.0523849
  70. volume_ema1 : 40150.31255775
  71. volume_ema2 : 38151.737316297
  72. regime : bear_high_confirmed
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111558
  77. 5m_price_ema100_diff:
    0.00643886
  78. 5m_price:
    112276
  79. 5m_correlation_with_coin:
    0.004254
  80. btc_indicators
  81. 15m_ema100:
    111779
  82. 15m_price_ema100_diff:
    0.00444509
  83. 15m_price:
    112276
  84. 15m_correlation_with_coin:
    0.086481
  85. btc_indicators
  86. 1H_ema100:
    111442
  87. 1H_price_ema100_diff:
    0.00748898
  88. 1H_price:
    112276
  89. 1H_correlation_with_coin:
    0.066314
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
03:52:21
10 Sep 2025
05:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1892 0.1867 0.1942 2 0.03717
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 0.1892
  • Stop Loss: 0.1867
  • Take Profit: 0.1942

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1867 - 0.1892 = -0.0025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1892 - 0.1942 = -0.005

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.005 / -0.0025 = 2

📌 Position Size

Amount Margin Quantity Leverage
604.9694 100 3198.1888 6.05
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 -0.0025

Taille de position = 8 / -0.0025 = -3200

Taille de position USD = -3200 x 0.1892 = -605.44

Donc, tu peux acheter -3200 avec un stoploss a 0.1867

Avec un position size USD de -605.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3200 x -0.0025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3200 x -0.005 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -3200
  • Taille de position USD -605.44
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.64 % 15.99 $
SL % Target SL $ Target
1.32 % 8 $
PNL PNL %
-7.99 $ -1.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4746 % 111.59 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1942
            [entry_price] => 0.1892
            [stop_loss] => 0.18645
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 05:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1942
            [entry_price] => 0.1892
            [stop_loss] => 0.1862
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 05:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1942
            [entry_price] => 0.1892
            [stop_loss] => 0.18595
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 05:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1942
            [entry_price] => 0.1892
            [stop_loss] => 0.18545
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 06:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00344
            [max_drawdown] => 0.00338
            [rr_ratio] => 1.02
            [high] => 0.19264000
            [low] => 0.18582000
            [mfe_pct] => 1.82
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 1.02
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T03:52:21-04:00
            [end_at] => 2025-09-10T05:52:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00344
            [max_drawdown] => 0.00692
            [rr_ratio] => 0.5
            [high] => 0.19264000
            [low] => 0.18228000
            [mfe_pct] => 1.82
            [mae_pct] => 3.66
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T03:52:21-04:00
            [end_at] => 2025-09-10T10:52:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.19770000
            [high_after] => 0.19264000
            [low_before] => 0.18700000
            [low_after] => 0.18249000
            [is_new_high] => 
            [is_new_low] => 
        )

)