Short Trade on QTUM 31 Aug 2025 at 17:50:36

Take profit at 2.7653 (0.46 %) and Stop Loss at 2.7865 (0.31 %)

Short Trade on QTUM

The 31 Aug 2025 at 17:50:36

With 943.7492 QTUM at 2.778$ per unit.

Position size of 2621.7354 $

Take profit at 2.7653 (0.46 %) and Stop Loss at 2.7865 (0.31 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 6.86
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.81
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.317845

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.005651218689
Details
  1. score: 1.21
  2. 1H
  3. ema9 : 2.76752
  4. ema21 : 2.80757
  5. ema50 : 2.84141
  6. ema100 : 2.86339
  7. price_ema9_diff : 0.00378584
  8. ema9_ema21_diff : -0.0142656
  9. ema21_ema50_diff : -0.0119104
  10. price_ema100_diff : -0.0298216
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.403916
  14. adx : 0.348566
  15. kc_percentage : 0.285368
  16. kc_width_percentage : 0.0449488
  17. volume_ema_diff : -0.835756
  18. volume_ema1 : 141843.22513734
  19. volume_ema2 : 863617.13689691
  20. ¸
  21. 15m
  22. ema9 : 2.76164
  23. ema21 : 2.75806
  24. ema50 : 2.77966
  25. ema100 : 2.82929
  26. price_ema9_diff : 0.00592218
  27. ema9_ema21_diff : 0.00129863
  28. ema21_ema50_diff : -0.00777091
  29. price_ema100_diff : -0.0181302
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.634959
  33. adx : 0.248574
  34. kc_percentage : 0.96043
  35. kc_width_percentage : 0.0157154
  36. volume_ema_diff : -0.668222
  37. volume_ema1 : 25415.013460877
  38. volume_ema2 : 76602.615826441
  39. ¸
  40. 5m
  41. ema9 : 2.76886
  42. ema21 : 2.76107
  43. ema50 : 2.75557
  44. ema100 : 2.75611
  45. price_ema9_diff : 0.00329925
  46. ema9_ema21_diff : 0.0028226
  47. ema21_ema50_diff : 0.00199351
  48. price_ema100_diff : 0.00793937
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.750954
  52. adx : 0.298338
  53. kc_percentage : 1.20904
  54. kc_width_percentage : 0.0083766
  55. volume_ema_diff : -0.294129
  56. volume_ema1 : 7226.1234033004
  57. volume_ema2 : 10237.176492155
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108797
  62. 5m_price_ema100_diff:
    0.00208186
  63. 5m_price:
    109024
  64. 5m_correlation_with_coin:
    0.317845
  65. btc_indicators
  66. 15m_ema100:
    108743
  67. 15m_price_ema100_diff:
    0.00258461
  68. 15m_price:
    109024
  69. btc_indicators
  70. 1H_ema100:
    109643
  71. 1H_price_ema100_diff:
    -0.00564904
  72. 1H_price:
    109024
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
31 Aug 2025
17:50:36
31 Aug 2025
18:00:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.778 2.7865 2.7653 1.49 0.912
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 2.778
  • Stop Loss: 2.7865
  • Take Profit: 2.7653

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7865 - 2.778 = 0.0085000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.778 - 2.7653 = 0.0127

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0127 / 0.0085000000000002 = 1.4941

📌 Position Size

Amount Margin Quantity Leverage
2621.7354 100 943.7492 26.22
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 0.0085000000000002

Taille de position = 8 / 0.0085000000000002 = 941.18

Taille de position USD = 941.18 x 2.778 = 2614.6

Donc, tu peux acheter 941.18 avec un stoploss a 2.7865

Avec un position size USD de 2614.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 941.18 x 0.0085000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 941.18 x 0.0127 = 11.95

Si Take Profit atteint, tu gagneras 11.95$

Résumé

  • Taille de position 941.18
  • Taille de position USD 2614.6
  • Perte potentielle 8
  • Gain potentiel 11.95
  • Risk-Reward Ratio 1.4941

📌 Peformances

TP % Target TP $ Target
0.46 % 11.99 $
SL % Target SL $ Target
0.31 % 8.02 $
PNL PNL %
11.99 $ 0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.761
            [stop_loss] => 2.7865
            [rr_ratio] => 2
            [closed_at] => 2025-08-31 18:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.75675
            [stop_loss] => 2.7865
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-31 18:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.7525
            [stop_loss] => 2.7865
            [rr_ratio] => 3
            [closed_at] => 2025-08-31 18:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.74825
            [stop_loss] => 2.7865
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-31 18:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.744
            [stop_loss] => 2.7865
            [rr_ratio] => 4
            [closed_at] => 2025-08-31 19:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.73975
            [stop_loss] => 2.7865
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-31 19:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.7355
            [stop_loss] => 2.7865
            [rr_ratio] => 5
            [closed_at] => 2025-08-31 19:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.73125
            [stop_loss] => 2.7865
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-31 19:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.727
            [stop_loss] => 2.7865
            [rr_ratio] => 6
            [closed_at] => 2025-08-31 19:25:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.72275
            [stop_loss] => 2.7865
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-31 19:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 2.7185
            [stop_loss] => 2.7865
            [rr_ratio] => 7
            [closed_at] => 2025-08-31 19:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.076
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.77600000
            [low] => 2.70200000
            [mfe_pct] => 2.74
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-31T17:50:36-04:00
            [end_at] => 2025-08-31T19:50:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.155
            [max_drawdown] => 0.108
            [rr_ratio] => 1.44
            [high] => 2.88600000
            [low] => 2.62300000
            [mfe_pct] => 5.58
            [mae_pct] => 3.89
            [mfe_mae_ratio] => 1.44
            [candles_analyzed] => 84
            [start_at] => 2025-08-31T17:50:36-04:00
            [end_at] => 2025-09-01T00:50:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.78000000
            [high_after] => 2.88600000
            [low_before] => 2.73900000
            [low_after] => 2.70200000
            [is_new_high] => 
            [is_new_low] => 1
        )

)