Short Trade on QTUM 01 Sep 2025 at 04:42:14

Take profit at 2.6572 (1.26 %) and Stop Loss at 2.7136 (0.84 %)

Short Trade on QTUM

The 01 Sep 2025 at 04:42:14

With 354.7425 QTUM at 2.691$ per unit.

Position size of 954.612 $

Take profit at 2.6572 (1.26 %) and Stop Loss at 2.7136 (0.84 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.22
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.73
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : bull_low

BTC Correlation Score

5m : 0.253785

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.01503438013
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 2.68817
  4. ema21 : 2.73576
  5. ema50 : 2.79197
  6. ema100 : 2.82311
  7. price_ema9_diff : 0.00105145
  8. ema9_ema21_diff : -0.017397
  9. ema21_ema50_diff : -0.0201328
  10. price_ema100_diff : -0.0467988
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.42636
  14. adx : 0.297416
  15. kc_percentage : 0.322377
  16. kc_width_percentage : 0.0866055
  17. volume_ema_diff : -0.0877672
  18. volume_ema1 : 965567.72709199
  19. volume_ema2 : 1058466.3769118
  20. ¸
  21. 15m
  22. ema9 : 2.65063
  23. ema21 : 2.66064
  24. ema50 : 2.70205
  25. ema100 : 2.74288
  26. price_ema9_diff : 0.0152286
  27. ema9_ema21_diff : -0.00376162
  28. ema21_ema50_diff : -0.0153256
  29. price_ema100_diff : -0.018915
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.533568
  33. adx : 0.257114
  34. kc_percentage : 0.796129
  35. kc_width_percentage : 0.0402384
  36. volume_ema_diff : -0.334581
  37. volume_ema1 : 178338.65159695
  38. volume_ema2 : 268009.5577621
  39. ¸
  40. 5m
  41. ema9 : 2.67793
  42. ema21 : 2.65665
  43. ema50 : 2.65693
  44. ema100 : 2.69377
  45. price_ema9_diff : 0.00488041
  46. ema9_ema21_diff : 0.00800859
  47. ema21_ema50_diff : -0.00010561
  48. price_ema100_diff : -0.0010296
  49. all_emas_in_trend : False
  50. all_emas_and_price_in_trend : False
  51. rsi : 0.666925
  52. adx : 0.387627
  53. kc_percentage : 1.05172
  54. kc_width_percentage : 0.0223669
  55. volume_ema_diff : -0.401935
  56. volume_ema1 : 60809.036131648
  57. volume_ema2 : 101676.39328332
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108175
  62. 5m_price_ema100_diff:
    0.0117852
  63. 5m_price:
    109449
  64. 5m_correlation_with_coin:
    0.253785
  65. btc_indicators
  66. 15m_ema100:
    108392
  67. 15m_price_ema100_diff:
    0.00987575
  68. 15m_price:
    109463
  69. btc_indicators
  70. 1H_ema100:
    109495
  71. 1H_price_ema100_diff:
    -0.00041232
  72. 1H_price:
    109449
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
04:42:14
01 Sep 2025
05:20:00
37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.691 2.7136 2.6572 1.5 0.924
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 2.691
  • Stop Loss: 2.7136
  • Take Profit: 2.6572

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7136 - 2.691 = 0.0226

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.691 - 2.6572 = 0.0338

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0338 / 0.0226 = 1.4956

📌 Position Size

Amount Margin Quantity Leverage
954.612 100 354.7425 9.55
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 0.0226

Taille de position = 8 / 0.0226 = 353.98

Taille de position USD = 353.98 x 2.691 = 952.56

Donc, tu peux acheter 353.98 avec un stoploss a 2.7136

Avec un position size USD de 952.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 353.98 x 0.0226 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 353.98 x 0.0338 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position 353.98
  • Taille de position USD 952.56
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4956

📌 Peformances

TP % Target TP $ Target
1.26 % 11.99 $
SL % Target SL $ Target
0.84 % 8.02 $
PNL PNL %
-8.02 $ -0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.858 % 221.24 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.6572
            [entry_price] => 2.691
            [stop_loss] => 2.71586
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-01 05:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.6572
            [entry_price] => 2.691
            [stop_loss] => 2.71812
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-01 05:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.6572
            [entry_price] => 2.691
            [stop_loss] => 2.72038
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-01 05:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.6572
            [entry_price] => 2.691
            [stop_loss] => 2.7249
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-01 05:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.014
            [max_drawdown] => 0.058
            [rr_ratio] => 0.24
            [high] => 2.74900000
            [low] => 2.67700000
            [mfe_pct] => 0.52
            [mae_pct] => 2.16
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T04:42:14-04:00
            [end_at] => 2025-09-01T06:42:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1
            [max_drawdown] => 0.058
            [rr_ratio] => 1.72
            [high] => 2.74900000
            [low] => 2.59100000
            [mfe_pct] => 3.72
            [mae_pct] => 2.16
            [mfe_mae_ratio] => 1.72
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T04:42:14-04:00
            [end_at] => 2025-09-01T11:42:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.70300000
            [high_after] => 2.74900000
            [low_before] => 2.57800000
            [low_after] => 2.59100000
            [is_new_high] => 
            [is_new_low] => 
        )

)