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Short Trade on QTUM

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Short Trade on QTUM 29 Aug 2025 at 16:48:22

Take profit at 2.6482 (0.89 %) and Stop Loss at 2.6879 (0.6 %)

Short Trade on QTUM

The 29 Aug 2025 at 16:48:22

With 503.885 QTUM at 2.672$ per unit.

Position size of 1346.3808 $

Take profit at 2.6482 (0.89 %) and Stop Loss at 2.6879 (0.6 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 4.07
Prediction Score: 4.8074
Prediction 1 Probability
Strong Trade
0.74
Prediction 2 Probability
0 0.38
Prediction 3 Probability
1 0.93
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low
BTC Correlation Score

5m : 0.482434

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01058442474
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 2.64827
  4. ema21 : 2.68449
  5. ema50 : 2.76128
  6. ema100 : 2.83429
  7. price_ema9_diff : 0.00895833
  8. ema9_ema21_diff : -0.0134932
  9. ema21_ema50_diff : -0.0278079
  10. price_ema100_diff : -0.0572623
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.45027
  14. adx : 0.115423
  15. kc_percentage : 0.451646
  16. kc_width_percentage : 0.0708234
  17. volume_ema_diff : -0.762338
  18. volume_ema1 : 167601.05846986
  19. volume_ema2 : 705208.17058109
    20. ¸
  20. 15m
  21. ema9 : 2.65062
  22. ema21 : 2.6429
  23. ema50 : 2.65628
  24. ema100 : 2.69262
  25. price_ema9_diff : 0.00806422
  26. ema9_ema21_diff : 0.0029215
  27. ema21_ema50_diff : -0.00503673
  28. price_ema100_diff : -0.0076612
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.609485
  32. adx : 0.181713
  33. kc_percentage : 0.873817
  34. kc_width_percentage : 0.0289573
  35. volume_ema_diff : -0.597453
  36. volume_ema1 : 40318.102422582
  37. volume_ema2 : 100157.7370159
    38. ¸
  38. 5m
  39. ema9 : 2.6548
  40. ema21 : 2.64873
  41. ema50 : 2.64208
  42. ema100 : 2.64285
  43. price_ema9_diff : 0.00647662
  44. ema9_ema21_diff : 0.00229357
  45. ema21_ema50_diff : 0.00251635
  46. price_ema100_diff : 0.011027
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.640962
  50. adx : 0.136209
  51. kc_percentage : 1.03013
  52. kc_width_percentage : 0.016153
  53. volume_ema_diff : 0.577068
  54. volume_ema1 : 34125.48605251
  55. volume_ema2 : 21638.55253658
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108699
  59. 5m_price_ema100_diff: 
    -0.00914882
  60. 5m_price: 
    107704
  61. 5m_correlation_with_coin: 
    0.482434
  62. btc_indicators
  63. 15m_ema100: 
    109844
  64. 15m_price_ema100_diff: 
    -0.0194777
  65. 15m_price: 
    107704
  66. btc_indicators
  67. 1H_ema100: 
    111117
  68. 1H_price_ema100_diff: 
    -0.0307111
  69. 1H_price: 
    107704
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
16:48:22		 29 Aug 2025
17:20:00		 31 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.672 2.6879 2.6482 1.5 0.94
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 2.672
  • Stop Loss: 2.6879
  • Take Profit: 2.6482

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6879 - 2.672 = 0.0159

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.672 - 2.6482 = 0.0238

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0238 / 0.0159 = 1.4969

📌 Position Size

Amount Margin Quantity Leverage
1346.3808 100 503.885 13.46
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 0.0159

Taille de position = 8 / 0.0159 = 503.14

Taille de position USD = 503.14 x 2.672 = 1344.39

Donc, tu peux acheter 503.14 avec un stoploss a 2.6879

Avec un position size USD de 1344.39$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 503.14 x 0.0159 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 503.14 x 0.0238 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position 503.14
  • Taille de position USD 1344.39
  • Perte potentielle 8
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.4969

📌 Peformances

TP % Target TP $ Target
0.89 % 11.99 $
SL % Target SL $ Target
0.6 % 8.01 $
PNL PNL %
11.99 $ 0.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1123 % 18.87 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.6402
            [stop_loss] => 2.6879
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 18:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.63225
            [stop_loss] => 2.6879
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.6243
            [stop_loss] => 2.6879
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.61635
            [stop_loss] => 2.6879
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.6084
            [stop_loss] => 2.6879
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.60045
            [stop_loss] => 2.6879
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.5925
            [stop_loss] => 2.6879
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.58455
            [stop_loss] => 2.6879
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.5766
            [stop_loss] => 2.6879
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.56865
            [stop_loss] => 2.6879
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.5607
            [stop_loss] => 2.6879
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 19:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.033
            [max_drawdown] => 0.0029999999999997
            [rr_ratio] => 11
            [high] => 2.67500000
            [low] => 2.63900000
            [mfe_pct] => 1.24
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 11
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T16:48:22-04:00
            [end_at] => 2025-08-29T18:48:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.039
            [max_drawdown] => 0.368
            [rr_ratio] => 0.11
            [high] => 3.04000000
            [low] => 2.63300000
            [mfe_pct] => 1.46
            [mae_pct] => 13.77
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T16:48:22-04:00
            [end_at] => 2025-08-29T23:48:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.67800000
            [high_after] => 3.04000000
            [low_before] => 2.61300000
            [low_after] => 2.63300000
            [is_new_high] => 
            [is_new_low] => 
        )

)