Trade

buy - QTUM

Status
win
2025-08-23 06:03:29
2 hours
PNL
1.08
Entry: 2.55
Last: 2.57750000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.6933
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.78
ML Trade Score: 60
ML Pullback Score:

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.01224282957
Details
  1. score: 2.16
  2. 1H
  3. ema9 - 2.57795
  4. ema21 - 2.50249
  5. ema50 - 2.38205
  6. ema100 - 2.27749
  7. price_ema9_diff - -0.0108424
  8. ema9_ema21_diff - 0.0301523
  9. ema21_ema50_diff - 0.0505604
  10. price_ema100_diff - 0.119652
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.595761
  14. adx - 0.439338
  15. kc_percentage - 0.666867
  16. kc_width_percentage - 0.0973147
  17. volume_ema_diff - -0.232028
  18. volume_ema1 - 616508.66149823
  19. volume_ema2 - 802774.98266659
  20. ¸
  21. 15m
  22. ema9 - 2.58012
  23. ema21 - 2.5979
  24. ema50 - 2.56244
  25. ema100 - 2.47035
  26. price_ema9_diff - -0.0116769
  27. ema9_ema21_diff - -0.00684431
  28. ema21_ema50_diff - 0.0138393
  29. price_ema100_diff - 0.0322395
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.362202
  33. adx - 0.224999
  34. kc_percentage - 0.0260972
  35. kc_width_percentage - 0.0392231
  36. volume_ema_diff - -0.54686
  37. volume_ema1 - 123090.61123765
  38. volume_ema2 - 271639.29097498
  39. ¸
  40. 5m
  41. ema9 - 2.57136
  42. ema21 - 2.5826
  43. ema50 - 2.60236
  44. ema100 - 2.627
  45. price_ema9_diff - -0.00830963
  46. ema9_ema21_diff - -0.00435197
  47. ema21_ema50_diff - -0.00759161
  48. price_ema100_diff - -0.029314
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.288796
  52. adx - 0.238603
  53. kc_percentage - -0.159277
  54. kc_width_percentage - 0.0189253
  55. volume_ema_diff - 0.0037108
  56. volume_ema1 - 69590.875498643
  57. volume_ema2 - 69333.59233663
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 115842
  62. 5m_price_ema100_diff: -0.000990825
  63. 5m_price: 115727
  64. 5m_correlation_with_coin: 0.024535
  65. btc_indicators
  66. 15m_ema100: 115460
  67. 15m_price_ema100_diff: 0.00230882
  68. 15m_price: 115727
  69. btc_indicators
  70. 1H_ema100: 114491
  71. 1H_price_ema100_diff: 0.0107944
  72. 1H_price: 115727
  73. ¸

Long Trade on QTUM

The 23 Aug 2025 at 06:03:29

With 435.6291 QTUM at 2.55$ per unit.

Position size of 1110.8543 $

Take profit at 2.5775 (1.08 %) and Stop Loss at 2.5316 (0.72 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -34.44 %

Symbol Start at Seach Score Trade Score Trades Count
LTC 2025-04-09 23:16:54 0.9811 -80 2
BCH 2025-04-09 23:33:58 0.9797 76.67 9
ARB 2025-04-09 23:11:59 0.9789 -100 2

📌 Time Data

Start at Closed at Duration
23 Aug 2025
06:03:29
23 Aug 2025
08:15:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.55 2.5316 2.5775 1.49 2.527
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 2.55
  • Stop Loss: 2.5316
  • Take Profit: 2.5775

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.5316 - 2.55 = -0.0184

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.55 - 2.5775 = -0.0275

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0275 / -0.0184 = 1.4946

📌 Position Size

Amount Margin Quantity Leverage
1110.8543 100 435.6291 11.11
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 -0.0184

Taille de position = 8 / -0.0184 = -434.78

Taille de position USD = -434.78 x 2.55 = -1108.69

Donc, tu peux acheter -434.78 avec un stoploss a 2.5316

Avec un position size USD de -1108.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -434.78 x -0.0184 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -434.78 x -0.0275 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position -434.78
  • Taille de position USD -1108.69
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4946

📌 Peformances

TP % Target TP $ Target
1.08 % 11.98 $
SL % Target SL $ Target
0.72 % 8.02 $
PNL PNL %
11.98 $ 1.08
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4706 % 65.22 % 13

📌 ML Extra Data

Extra TP Data

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(
    [2] => Array
        (
            [take_profit] => 2.5868
            [stop_loss] => 2.5316
            [rr_ratio] => 2
            [closed_at] => 2025-08-23 08:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.596
            [stop_loss] => 2.5316
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-23 08:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.6052
            [stop_loss] => 2.5316
            [rr_ratio] => 3
            [closed_at] => 2025-08-23 08:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.6144
            [stop_loss] => 2.5316
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-23 09:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.6236
            [stop_loss] => 2.5316
            [rr_ratio] => 4
            [closed_at] => 2025-08-23 09:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.6328
            [stop_loss] => 2.5316
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-23 09:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.642
            [stop_loss] => 2.5316
            [rr_ratio] => 5
            [closed_at] => 2025-08-23 09:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.6512
            [stop_loss] => 2.5316
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-23 09:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.6604
            [stop_loss] => 2.5316
            [rr_ratio] => 6
            [closed_at] => 2025-08-23 09:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.6696
            [stop_loss] => 2.5316
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-23 09:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.6788
            [stop_loss] => 2.5316
            [rr_ratio] => 7
            [closed_at] => 2025-08-23 09:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
)