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Long Trade on DOLO

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Long Trade on DOLO 09 Aug 2025 at 16:41:39

Take profit at 0.2203 (1.43 %) and Stop Loss at 0.2152 (0.92 %)

Long Trade on DOLO

The 09 Aug 2025 at 16:41:39

With 3874.0954 DOLO at 0.2172$ per unit.

Position size of 841.5698 $

Take profit at 0.2203 (1.43 %) and Stop Loss at 0.2152 (0.92 %)

That's a 1.55 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 130
ML Pullback Score: 9.58
Prediction Score: -0.506
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.68
Prediction 3 Probability
0 0.66
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.086325

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.001376665451
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 0.22067
  4. ema21 : 0.21481
  5. ema50 : 0.202392
  6. ema100 : 0.190431
  7. price_ema9_diff : -0.0155902
  8. ema9_ema21_diff : 0.0272776
  9. ema21_ema50_diff : 0.0613584
  10. price_ema100_diff : 0.140727
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.571605
  14. adx : 0.640794
  15. kc_percentage : 0.569018
  16. kc_width_percentage : 0.126949
  17. volume_ema_diff : -0.340411
  18. volume_ema1 : 519969.67736747
  19. volume_ema2 : 788324.62035658
    20. ¸
  20. 15m
  21. ema9 : 0.220916
  22. ema21 : 0.222401
  23. ema50 : 0.219974
  24. ema100 : 0.214031
  25. price_ema9_diff : -0.0166866
  26. ema9_ema21_diff : -0.00667833
  27. ema21_ema50_diff : 0.0110344
  28. price_ema100_diff : 0.0149451
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.377053
  32. adx : 0.248847
  33. kc_percentage : 0.0282209
  34. kc_width_percentage : 0.0501289
  35. volume_ema_diff : -0.636073
  36. volume_ema1 : 68589.24515508
  37. volume_ema2 : 188469.99531932
    38. ¸
  38. 5m
  39. ema9 : 0.218723
  40. ema21 : 0.220422
  41. ema50 : 0.22237
  42. ema100 : 0.223977
  43. price_ema9_diff : -0.00682616
  44. ema9_ema21_diff : -0.00770792
  45. ema21_ema50_diff : -0.00876192
  46. price_ema100_diff : -0.0301254
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.280729
  50. adx : 0.377512
  51. kc_percentage : -0.0754373
  52. kc_width_percentage : 0.02472
  53. volume_ema_diff : -0.541709
  54. volume_ema1 : 20211.691872611
  55. volume_ema2 : 44102.377354759
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    116737
  59. 5m_price_ema100_diff: 
    0.00030518
  60. 5m_price: 
    116773
  61. 5m_correlation_with_coin: 
    0.086325
  62. btc_indicators
  63. 15m_ema100: 
    116732
  64. 15m_price_ema100_diff: 
    -0.000180543
  65. 15m_price: 
    116711
  66. btc_indicators
  67. 1H_ema100: 
    115907
  68. 1H_price_ema100_diff: 
    0.00746966
  69. 1H_price: 
    116773
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Aug 2025
16:41:39		 09 Aug 2025
18:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2172 0.2152 0.2203 1.55 0.03666
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 0.2172
  • Stop Loss: 0.2152
  • Take Profit: 0.2203

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2152 - 0.2172 = -0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2172 - 0.2203 = -0.0031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0031 / -0.002 = 1.55

📌 Position Size

Amount Margin Quantity Leverage
841.5698 100 3874.0954 8.42
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 -0.002

Taille de position = 8 / -0.002 = -4000

Taille de position USD = -4000 x 0.2172 = -868.8

Donc, tu peux acheter -4000 avec un stoploss a 0.2152

Avec un position size USD de -868.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4000 x -0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4000 x -0.0031 = 12.4

Si Take Profit atteint, tu gagneras 12.4$

Résumé

  • Taille de position -4000
  • Taille de position USD -868.8
  • Perte potentielle 8
  • Gain potentiel 12.4
  • Risk-Reward Ratio 1.55

📌 Peformances

TP % Target TP $ Target
1.43 % 12.01 $
SL % Target SL $ Target
0.92 % 7.75 $
PNL PNL %
12.01 $ 1.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7735 % 84 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2212
            [stop_loss] => 0.2152
            [rr_ratio] => 2
            [closed_at] => 2025-08-09 18:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2222
            [stop_loss] => 0.2152
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-09 18:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2232
            [stop_loss] => 0.2152
            [rr_ratio] => 3
            [closed_at] => 2025-08-09 18:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2242
            [stop_loss] => 0.2152
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-09 18:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2252
            [stop_loss] => 0.2152
            [rr_ratio] => 4
            [closed_at] => 2025-08-09 18:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2262
            [stop_loss] => 0.2152
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-09 19:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2272
            [stop_loss] => 0.2152
            [rr_ratio] => 5
            [closed_at] => 2025-08-09 19:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2282
            [stop_loss] => 0.2152
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-09 20:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2292
            [stop_loss] => 0.2152
            [rr_ratio] => 6
            [closed_at] => 2025-08-09 20:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.2302
            [stop_loss] => 0.2152
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-09 20:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00864
            [max_drawdown] => 0.00168
            [rr_ratio] => 5.14
            [high] => 0.22584000
            [low] => 0.21552000
            [mfe_pct] => 3.98
            [mae_pct] => 0.77
            [mfe_mae_ratio] => 5.14
            [candles_analyzed] => 24
            [start_at] => 2025-08-09T16:41:39-04:00
            [end_at] => 2025-08-09T18:41:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01331
            [max_drawdown] => 0.00168
            [rr_ratio] => 7.92
            [high] => 0.23051000
            [low] => 0.21552000
            [mfe_pct] => 6.13
            [mae_pct] => 0.77
            [mfe_mae_ratio] => 7.92
            [candles_analyzed] => 84
            [start_at] => 2025-08-09T16:41:39-04:00
            [end_at] => 2025-08-09T23:41:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22867000
            [high_after] => 0.23051000
            [low_before] => 0.21599000
            [low_after] => 0.21552000
            [is_new_high] => 1
            [is_new_low] => 
        )

)