Trade

buy - BCH

Status
win
2025-06-03 14:37:25
22 minutes
PNL
0.37
Entry: 404.04
Last: 405.50000000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.075
Prediction 1 Accuracy
Weak Trade
0.71
Prediction 2 Accuracy
0 0.56
ML Trade Score: 40
ML Pullback Score: 0.92

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.6667544395
Details
  1. score: 2.2
  2. 1H
  3. ema9 - 404.936
  4. ema21 - 403.948
  5. ema50 - 403.613
  6. ema100 - 404.352
  7. price_ema9_diff - -0.00221459
  8. ema9_ema21_diff - 0.0024455
  9. ema21_ema50_diff - 0.000829869
  10. price_ema100_diff - -0.00077378
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.509211
  14. kc_percentage - 0.503309
  15. kc_width_percentage - 0.0273663
  16. ¸
  17. 15m
  18. ema9 - 405.805
  19. ema21 - 405.648
  20. ema50 - 404.631
  21. ema100 - 403.468
  22. price_ema9_diff - -0.00435153
  23. ema9_ema21_diff - 0.000387218
  24. ema21_ema50_diff - 0.0025146
  25. price_ema100_diff - 0.00141578
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.420029
  29. kc_percentage - 0.177217
  30. kc_width_percentage - 0.0126303
  31. ¸
  32. 5m
  33. ema9 - 405.287
  34. ema21 - 405.829
  35. ema50 - 405.849
  36. ema100 - 405.051
  37. price_ema9_diff - -0.00307777
  38. ema9_ema21_diff - -0.00133481
  39. ema21_ema50_diff - -4.94082E-5
  40. price_ema100_diff - -0.00249705
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.304935
  44. kc_percentage - -0.200866
  45. kc_width_percentage - 0.00622509
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 105765
  50. 5m_price_ema100_diff: 0.00155525
  51. 5m_price: 105930
  52. 5m_correlation_with_coin: 0.643655
  53. btc_indicators
  54. 15m_ema100: 105405
  55. 15m_price_ema100_diff: 0.00497805
  56. 15m_price: 105930
  57. btc_indicators
  58. 1H_ema100: 105019
  59. 1H_price_ema100_diff: 0.00867111
  60. 1H_price: 105930
  61. ¸

Long Trade on BCH

The 03 Jun 2025 at 14:37:25

With 7.9989 BCH at 404.04$ per unit.

Position size of 3231.8945 $

Take profit at 405.5402 (0.37 %) and Stop Loss at 403.0399 (0.25 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -27 %

Symbol Start at Seach Score Trade Score Trades Count
STX 2025-05-22 17:24:16 0.8695 -30 2
OP 2025-05-29 01:11:28 0.858 -100 2
TRUMP 2025-06-29 21:53:38 0.8606 -100 1
APT 2025-06-26 19:09:40 0.8575 30 1
SAND 2025-06-29 22:09:20 0.8532 -100 3
NEAR 2025-06-09 10:03:12 0.8537 40 1
BTC 2025-06-03 14:18:03 0.8519 30 1
FET 2025-06-29 22:02:48 0.8516 -100 1
GRASS 2025-06-23 22:22:39 0.8511 30 1
UXLINK 2025-05-02 00:45:38 0.8474 30 1

📌 Time Data

Start at Closed at Duration
03 Jun 2025
14:37:25
03 Jun 2025
15:00:00
22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
404.04 403.0399 405.5402 1.5 512.66
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 404.04
  • Stop Loss: 403.0399
  • Take Profit: 405.5402

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 403.0399 - 404.04 = -1.0001

  • Récompense (distance jusqu'au take profit):

    E - TP = 404.04 - 405.5402 = -1.5002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.5002 / -1.0001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3231.8945 100 7.9989 32.32
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 -1.0001

Taille de position = 8 / -1.0001 = -8

Taille de position USD = -8 x 404.04 = -3232.32

Donc, tu peux acheter -8 avec un stoploss a 403.0399

Avec un position size USD de -3232.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8 x -1.0001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8 x -1.5002 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -8
  • Taille de position USD -3232.32
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.37 % 12 $
SL % Target SL $ Target
0.25 % 8 $
PNL PNL %
12 $ 0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 406
            [stop_loss] => 403
            [rr_ratio] => 2
            [closed_at] => 2025-06-03 15:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 406.5
            [stop_loss] => 403
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 407
            [stop_loss] => 403
            [rr_ratio] => 3
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
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    [3.5] => Array
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            [stop_loss] => 403
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
        )

    [4] => Array
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            [rr_ratio] => 4
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
        )

    [4.5] => Array
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            [rr_ratio] => 4.5
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 409
            [stop_loss] => 403
            [rr_ratio] => 5
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 409.5
            [stop_loss] => 403
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 410
            [stop_loss] => 403
            [rr_ratio] => 6
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 410.5
            [stop_loss] => 403
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
        )

    [7] => Array
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            [take_profit] => 411
            [stop_loss] => 403
            [rr_ratio] => 7
            [closed_at] => 2025-06-03 16:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.43
            [max_drawdown] => 3.58
            [rr_ratio] => 0.68
            [high] => 406.47000000
            [low] => 400.46000000
            [mfe_pct] => 0.6
            [mae_pct] => 0.89
            [mfe_mae_ratio] => 0.68
            [candles_analyzed] => 24
            [start_at] => 2025-06-03T14:37:25-04:00
            [end_at] => 2025-06-03T16:37:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.43
            [max_drawdown] => 3.92
            [rr_ratio] => 0.62
            [high] => 406.47000000
            [low] => 400.12000000
            [mfe_pct] => 0.6
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 0.62
            [candles_analyzed] => 72
            [start_at] => 2025-06-03T14:37:25-04:00
            [end_at] => 2025-06-03T20:37:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 408.85000000
            [high_after] => 406.47000000
            [low_before] => 403.91000000
            [low_after] => 400.12000000
            [is_new_high] => 
            [is_new_low] => 
        )

)