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Long Trade on QTUM

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Long Trade on QTUM 23 Aug 2025 at 06:14:08

Take profit at 2.5676 (1.01 %) and Stop Loss at 2.5249 (0.67 %)

Long Trade on QTUM

The 23 Aug 2025 at 06:14:08

With 468.7457 QTUM at 2.542$ per unit.

Position size of 1191.5515 $

Take profit at 2.5676 (1.01 %) and Stop Loss at 2.5249 (0.67 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 70
ML Pullback Score: 4.96
Prediction Score: 2.0173
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.81
Prediction 3 Probability
1 0.68
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : 0.034699

 1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.01137788317
Details
  1. score: 2.25
  2. 1H
  3. ema9 : 2.57635
  4. ema21 : 2.50176
  5. ema50 : 2.38174
  6. ema100 : 2.27733
  7. price_ema9_diff : -0.0133333
  8. ema9_ema21_diff : 0.0298122
  9. ema21_ema50_diff : 0.0503934
  10. price_ema100_diff : 0.116217
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.585404
  14. adx : 0.438265
  15. kc_percentage : 0.636598
  16. kc_width_percentage : 0.0984077
  17. volume_ema_diff : -0.206205
  18. volume_ema1 : 639373.40503157
  19. volume_ema2 : 805464.95249404
    20. ¸
  20. 15m
  21. ema9 : 2.57852
  22. ema21 : 2.59718
  23. ema50 : 2.56213
  24. ema100 : 2.47019
  25. price_ema9_diff : -0.0141662
  26. ema9_ema21_diff : -0.00718226
  27. ema21_ema50_diff : 0.0136795
  28. price_ema100_diff : 0.0290671
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.347189
  32. adx : 0.22661
  33. kc_percentage : -0.0355608
  34. kc_width_percentage : 0.0401333
  35. volume_ema_diff : -0.467955
  36. volume_ema1 : 145955.35477099
  37. volume_ema2 : 274329.26080243
    38. ¸
  38. 5m
  39. ema9 : 2.56101
  40. ema21 : 2.57565
  41. ema50 : 2.59807
  42. ema100 : 2.62615
  43. price_ema9_diff : -0.00742632
  44. ema9_ema21_diff : -0.00568357
  45. ema21_ema50_diff : -0.00862978
  46. price_ema100_diff : -0.0320435
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.264277
  50. adx : 0.276447
  51. kc_percentage : -0.24908
  52. kc_width_percentage : 0.0171711
  53. volume_ema_diff : -0.269434
  54. volume_ema1 : 46116.094569767
  55. volume_ema2 : 63123.849983549
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    115835
  59. 5m_price_ema100_diff: 
    -0.00179321
  60. 5m_price: 
    115628
  61. 5m_correlation_with_coin: 
    0.034699
  62. btc_indicators
  63. 15m_ema100: 
    115458
  64. 15m_price_ema100_diff: 
    0.00146669
  65. 15m_price: 
    115628
  66. btc_indicators
  67. 1H_ema100: 
    114489
  68. 1H_price_ema100_diff: 
    0.00994536
  69. 1H_price: 
    115628
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Aug 2025
06:14:08		 23 Aug 2025
07:10:00		 55 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.542 2.5249 2.5676 1.5 0.926
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 2.542
  • Stop Loss: 2.5249
  • Take Profit: 2.5676

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.5249 - 2.542 = -0.0171

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.542 - 2.5676 = -0.0256

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0256 / -0.0171 = 1.4971

📌 Position Size

Amount Margin Quantity Leverage
1191.5515 100 468.7457 11.92
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 -0.0171

Taille de position = 8 / -0.0171 = -467.84

Taille de position USD = -467.84 x 2.542 = -1189.25

Donc, tu peux acheter -467.84 avec un stoploss a 2.5249

Avec un position size USD de -1189.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -467.84 x -0.0171 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -467.84 x -0.0256 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position -467.84
  • Taille de position USD -1189.25
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.4971

📌 Peformances

TP % Target TP $ Target
1.01 % 12 $
SL % Target SL $ Target
0.67 % 8.02 $
PNL PNL %
12 $ 1.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1574 % 23.4 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.5762
            [stop_loss] => 2.5249
            [rr_ratio] => 2
            [closed_at] => 2025-08-23 08:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.58475
            [stop_loss] => 2.5249
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-23 08:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.5933
            [stop_loss] => 2.5249
            [rr_ratio] => 3
            [closed_at] => 2025-08-23 08:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.60185
            [stop_loss] => 2.5249
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-23 08:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.6104
            [stop_loss] => 2.5249
            [rr_ratio] => 4
            [closed_at] => 2025-08-23 10:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.61895
            [stop_loss] => 2.5249
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-23 10:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.6275
            [stop_loss] => 2.5249
            [rr_ratio] => 5
            [closed_at] => 2025-08-23 10:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.63605
            [stop_loss] => 2.5249
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-23 10:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.6446
            [stop_loss] => 2.5249
            [rr_ratio] => 6
            [closed_at] => 2025-08-23 10:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.65315
            [stop_loss] => 2.5249
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-23 10:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.6617
            [stop_loss] => 2.5249
            [rr_ratio] => 7
            [closed_at] => 2025-08-23 10:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.032
            [max_drawdown] => 0.004
            [rr_ratio] => 8
            [high] => 2.57400000
            [low] => 2.53800000
            [mfe_pct] => 1.26
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 8
            [candles_analyzed] => 24
            [start_at] => 2025-08-23T06:14:08-04:00
            [end_at] => 2025-08-23T08:14:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.067
            [max_drawdown] => 0.042
            [rr_ratio] => 1.6
            [high] => 2.60900000
            [low] => 2.50000000
            [mfe_pct] => 2.64
            [mae_pct] => 1.65
            [mfe_mae_ratio] => 1.6
            [candles_analyzed] => 84
            [start_at] => 2025-08-23T06:14:08-04:00
            [end_at] => 2025-08-23T13:14:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.65900000
            [high_after] => 2.60900000
            [low_before] => 2.53900000
            [low_after] => 2.50700000
            [is_new_high] => 
            [is_new_low] => 
        )

)