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Long Trade on QTUM

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Long Trade on QTUM 23 Aug 2025 at 03:47:36

Take profit at 2.6104 (1.3 %) and Stop Loss at 2.5547 (0.87 %)

Long Trade on QTUM

The 23 Aug 2025 at 03:47:36

With 359.2344 QTUM at 2.577$ per unit.

Position size of 925.747 $

Take profit at 2.6104 (1.3 %) and Stop Loss at 2.5547 (0.87 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 3.34
Prediction Score: 1.8481
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.72
Prediction 3 Probability
1 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : -0.046899

 1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.01484638881
Details
  1. score: 2.17
  2. 1H
  3. ema9 : 2.58391
  4. ema21 : 2.47861
  5. ema50 : 2.35742
  6. ema100 : 2.25971
  7. price_ema9_diff : -0.00267711
  8. ema9_ema21_diff : 0.0424827
  9. ema21_ema50_diff : 0.0514076
  10. price_ema100_diff : 0.14041
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.640679
  14. adx : 0.452601
  15. kc_percentage : 0.812796
  16. kc_width_percentage : 0.113506
  17. volume_ema_diff : 0.349829
  18. volume_ema1 : 1133590.2526065
  19. volume_ema2 : 839802.85426062
    20. ¸
  20. 15m
  21. ema9 : 2.61274
  22. ema21 : 2.6212
  23. ema50 : 2.55366
  24. ema100 : 2.44981
  25. price_ema9_diff : -0.0136798
  26. ema9_ema21_diff : -0.00322937
  27. ema21_ema50_diff : 0.02645
  28. price_ema100_diff : 0.0519176
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.411927
  32. adx : 0.344881
  33. kc_percentage : 0.129173
  34. kc_width_percentage : 0.0471517
  35. volume_ema_diff : -0.485155
  36. volume_ema1 : 163733.47107016
  37. volume_ema2 : 318024.93066017
    38. ¸
  38. 5m
  39. ema9 : 2.60332
  40. ema21 : 2.61625
  41. ema50 : 2.62857
  42. ema100 : 2.60789
  43. price_ema9_diff : -0.0101122
  44. ema9_ema21_diff : -0.00494373
  45. ema21_ema50_diff : -0.00468384
  46. price_ema100_diff : -0.0118468
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.289438
  50. adx : 0.17934
  51. kc_percentage : -0.174062
  52. kc_width_percentage : 0.0221311
  53. volume_ema_diff : 0.0869856
  54. volume_ema1 : 102882.64648982
  55. volume_ema2 : 94649.49656966
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    116025
  59. 5m_price_ema100_diff: 
    -0.00229163
  60. 5m_price: 
    115759
  61. 5m_correlation_with_coin: 
    -0.046899
  62. btc_indicators
  63. 15m_ema100: 
    115438
  64. 15m_price_ema100_diff: 
    0.00277895
  65. 15m_price: 
    115759
  66. btc_indicators
  67. 1H_ema100: 
    114460
  68. 1H_price_ema100_diff: 
    0.0113532
  69. 1H_price: 
    115759
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Aug 2025
03:47:36		 23 Aug 2025
04:10:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.577 2.5547 2.6104 1.5 0.899
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 2.577
  • Stop Loss: 2.5547
  • Take Profit: 2.6104

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.5547 - 2.577 = -0.0223

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.577 - 2.6104 = -0.0334

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0334 / -0.0223 = 1.4978

📌 Position Size

Amount Margin Quantity Leverage
925.747 100 359.2344 9.26
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 -0.0223

Taille de position = 8 / -0.0223 = -358.74

Taille de position USD = -358.74 x 2.577 = -924.47

Donc, tu peux acheter -358.74 avec un stoploss a 2.5547

Avec un position size USD de -924.47$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -358.74 x -0.0223 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -358.74 x -0.0334 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position -358.74
  • Taille de position USD -924.47
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.4978

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.87 % 8.01 $
PNL PNL %
12 $ 1.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.6216
            [stop_loss] => 2.5547
            [rr_ratio] => 2
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 2.63275
            [stop_loss] => 2.5547
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.6439
            [stop_loss] => 2.5547
            [rr_ratio] => 3
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.65505
            [stop_loss] => 2.5547
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.6662
            [stop_loss] => 2.5547
            [rr_ratio] => 4
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.67735
            [stop_loss] => 2.5547
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.6885
            [stop_loss] => 2.5547
            [rr_ratio] => 5
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.69965
            [stop_loss] => 2.5547
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.7108
            [stop_loss] => 2.5547
            [rr_ratio] => 6
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.72195
            [stop_loss] => 2.5547
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.7331
            [stop_loss] => 2.5547
            [rr_ratio] => 7
            [closed_at] => 2025-08-23 06:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.041
            [max_drawdown] => 0.011
            [rr_ratio] => 3.73
            [high] => 2.61800000
            [low] => 2.56600000
            [mfe_pct] => 1.59
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 3.73
            [candles_analyzed] => 24
            [start_at] => 2025-08-23T03:47:36-04:00
            [end_at] => 2025-08-23T05:47:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.041
            [max_drawdown] => 0.069
            [rr_ratio] => 0.59
            [high] => 2.61800000
            [low] => 2.50800000
            [mfe_pct] => 1.59
            [mae_pct] => 2.68
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 84
            [start_at] => 2025-08-23T03:47:36-04:00
            [end_at] => 2025-08-23T10:47:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.71000000
            [high_after] => 2.61800000
            [low_before] => 2.57300000
            [low_after] => 2.52500000
            [is_new_high] => 
            [is_new_low] => 
        )

)