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Trade

buy - BCH

Status
win
2025-07-09 04:59:01
2 hours
PNL
0.30
Entry: 504.37
Last: 505.90000000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.6048
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.45
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 5.79

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.28
  4. atr: 0.6791193448
Details
  1. score: 2.28
  2. 1H
  3. ema9 - 505.239
  4. ema21 - 503.098
  5. ema50 - 499.493
  6. ema100 - 495.574
  7. price_ema9_diff - -0.00172079
  8. ema9_ema21_diff - 0.00425552
  9. ema21_ema50_diff - 0.00721625
  10. price_ema100_diff - 0.0177488
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.563499
  14. kc_percentage - 0.576999
  15. kc_width_percentage - 0.0286684
  16. volume_ema_diff - -0.0757263
  17. volume_ema1 - 2085684.2457289
  18. volume_ema2 - 2256565.7918223
    19. ¸
  19. 15m
  20. ema9 - 506.741
  21. ema21 - 506.543
  22. ema50 - 504.852
  23. ema100 - 503.088
  24. price_ema9_diff - -0.0046808
  25. ema9_ema21_diff - 0.000391141
  26. ema21_ema50_diff - 0.00335093
  27. price_ema100_diff - 0.00254826
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.433653
  31. kc_percentage - 0.105269
  32. kc_width_percentage - 0.0111849
  33. volume_ema_diff - -0.731639
  34. volume_ema1 - 192191.83348573
  35. volume_ema2 - 716169.79591995
    36. ¸
  36. 5m
  37. ema9 - 505.839
  38. ema21 - 506.532
  39. ema50 - 506.713
  40. ema100 - 505.811
  41. price_ema9_diff - -0.002906
  42. ema9_ema21_diff - -0.00136782
  43. ema21_ema50_diff - -0.000357162
  44. price_ema100_diff - -0.00285001
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.27066
  48. kc_percentage - -0.276528
  49. kc_width_percentage - 0.00543635
  50. volume_ema_diff - 0.368092
  51. volume_ema1 - 216529.3296336
  52. volume_ema2 - 158270.96799749
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108674
  56. 5m_price_ema100_diff: -0.000507298
  57. 5m_price: 108619
  58. 5m_correlation_with_coin: 0.225412
  59. btc_indicators
  60. 15m_ema100: 108634
  61. 15m_price_ema100_diff: 0.000324217
  62. 15m_price: 108669
  63. btc_indicators
  64. 1H_ema100: 108426
  65. 1H_price_ema100_diff: 0.00178376
  66. 1H_price: 108619
    67. ¸

Long Trade on BCH

The 09 Jul 2025 at 04:59:01

With 7.8533 BCH at 504.37$ per unit.

Position size of 3960.9729 $

Take profit at 505.898 (0.3 %) and Stop Loss at 503.3513 (0.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -44.67 %

Symbol Start at Seach Score Trade Score Trades Count
APE 2025-06-06 06:41:39 0.9507 -100 1
TRX 2025-06-10 13:54:21 0.9306 50 5
BTC 2025-06-30 01:42:23 0.9305 -100 2
INIT 2025-05-13 10:43:29 0.9242 -13.33 3
NEAR 2025-07-02 19:26:11 0.9247 -60 1

📌 Time Data

Start at Closed at Duration
09 Jul 2025
04:59:01		 09 Jul 2025
07:15:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
504.37 503.3513 505.898 1.5 560.64
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 504.37
  • Stop Loss: 503.3513
  • Take Profit: 505.898

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 503.3513 - 504.37 = -1.0187

  • Récompense (distance jusqu'au take profit):

    E - TP = 504.37 - 505.898 = -1.528

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.528 / -1.0187 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3960.9729 100 7.8533 39.61
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 -1.0187

Taille de position = 8 / -1.0187 = -7.85

Taille de position USD = -7.85 x 504.37 = -3959.3

Donc, tu peux acheter -7.85 avec un stoploss a 503.3513

Avec un position size USD de -3959.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7.85 x -1.0187 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7.85 x -1.528 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position -7.85
  • Taille de position USD -3959.3
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.3 % 12 $
SL % Target SL $ Target
0.2 % 8 $
PNL PNL %
11.78 $ 0.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1051 % 53 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 506.4
            [stop_loss] => 503.4
            [rr_ratio] => 2
            [closed_at] => 2025-07-09 07:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 506.9
            [stop_loss] => 503.4
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-09 07:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 507.4
            [stop_loss] => 503.4
            [rr_ratio] => 3
            [closed_at] => 2025-07-09 07:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 507.9
            [stop_loss] => 503.4
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-09 07:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 508.4
            [stop_loss] => 503.4
            [rr_ratio] => 4
            [closed_at] => 2025-07-09 07:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 508.9
            [stop_loss] => 503.4
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-09 08:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 509.4
            [stop_loss] => 503.4
            [rr_ratio] => 5
            [closed_at] => 2025-07-09 08:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 509.9
            [stop_loss] => 503.4
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-09 08:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 510.4
            [stop_loss] => 503.4
            [rr_ratio] => 6
            [closed_at] => 2025-07-09 08:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.12
            [max_drawdown] => 0.5
            [rr_ratio] => 2.24
            [high] => 505.49000000
            [low] => 503.87000000
            [mfe_pct] => 0.22
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 2.24
            [candles_analyzed] => 24
            [start_at] => 2025-07-09T04:59:01-04:00
            [end_at] => 2025-07-09T06:59:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 6.14
            [max_drawdown] => 0.5
            [rr_ratio] => 12.28
            [high] => 510.51000000
            [low] => 503.87000000
            [mfe_pct] => 1.22
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 12.28
            [candles_analyzed] => 72
            [start_at] => 2025-07-09T04:59:01-04:00
            [end_at] => 2025-07-09T10:59:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 510.53000000
            [high_after] => 510.51000000
            [low_before] => 504.36000000
            [low_after] => 503.87000000
            [is_new_high] => 
            [is_new_low] => 
        )

)