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Long Trade on 1000BONK

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Long Trade on 1000BONK 03 Jul 2025 at 08:41:51

Take profit at 0.01668 (1.83 %) and Stop Loss at 0.01618 (1.22 %)

Long Trade on 1000BONK

The 03 Jul 2025 at 08:41:51

With 39220.832 1000BONK at 0.01638$ per unit.

Position size of 642.398 $

Take profit at 0.01668 (1.83 %) and Stop Loss at 0.01618 (1.22 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 60
ML Pullback Score: 5.06
Prediction Score: -0.1242
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
0 0.44
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.612578

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.000135982157
Details
  1. score: 2
  2. 1H
  3. ema9 : 0.0167153
  4. ema21 : 0.016243
  5. ema50 : 0.0154288
  6. ema100 : 0.014976
  7. price_ema9_diff : -0.0201249
  8. ema9_ema21_diff : 0.0290816
  9. ema21_ema50_diff : 0.0527696
  10. price_ema100_diff : 0.0936805
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.572474
  14. kc_percentage : 0.552048
  15. kc_width_percentage : 0.109761
  16. volume_ema_diff : 0.315069
  17. volume_ema1 : 2124476.2837297
  18. volume_ema2 : 1615485.6047925
    19. ¸
  19. 15m
  20. ema9 : 0.0167588
  21. ema21 : 0.0168628
  22. ema50 : 0.0166583
  23. ema100 : 0.0161079
  24. price_ema9_diff : -0.0226633
  25. ema9_ema21_diff : -0.00616789
  26. ema21_ema50_diff : 0.0122714
  27. price_ema100_diff : 0.016829
  28. all_emas_in_trend : False
  29. all_emas_and_price_in_trend : False
  30. rsi : 0.422333
  31. kc_percentage : -0.0725808
  32. kc_width_percentage : 0.0513164
  33. volume_ema_diff : -0.0047434
  34. volume_ema1 : 548785.05004253
  35. volume_ema2 : 551400.56476592
    36. ¸
  36. 5m
  37. ema9 : 0.0165921
  38. ema21 : 0.0166816
  39. ema50 : 0.0168286
  40. ema100 : 0.01691
  41. price_ema9_diff : -0.0128457
  42. ema9_ema21_diff : -0.00536745
  43. ema21_ema50_diff : -0.00873472
  44. price_ema100_diff : -0.0314045
  45. all_emas_in_trend : True
  46. all_emas_and_price_in_trend : True
  47. rsi : 0.332164
  48. kc_percentage : -0.00184707
  49. kc_width_percentage : 0.0360308
  50. volume_ema_diff : 0.578955
  51. volume_ema1 : 305666.90830054
  52. volume_ema2 : 193588.06701018
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 
    109424
  56. 5m_price_ema100_diff: 
    -0.00468221
  57. 5m_price: 
    108912
  58. 5m_correlation_with_coin: 
    0.612578
  59. btc_indicators
  60. 15m_ema100: 
    108960
  61. 15m_price_ema100_diff: 
    0.00262178
  62. 15m_price: 
    109246
  63. btc_indicators
  64. 1H_ema100: 
    107871
  65. 1H_price_ema100_diff: 
    0.00965468
  66. 1H_price: 
    108912
    67. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
03 Jul 2025
08:41:51		 03 Jul 2025
09:00:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01638 0.01618 0.01668 1.5 0.006238
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 0.01638
  • Stop Loss: 0.01618
  • Take Profit: 0.01668

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01618 - 0.01638 = -0.0002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01638 - 0.01668 = -0.0003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0003 / -0.0002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
642.398 100 39220.832 6.42
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 -0.0002

Taille de position = 8 / -0.0002 = -40000

Taille de position USD = -40000 x 0.01638 = -655.2

Donc, tu peux acheter -40000 avec un stoploss a 0.01618

Avec un position size USD de -655.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -40000 x -0.0002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -40000 x -0.0003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -40000
  • Taille de position USD -655.2
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.83 % 11.77 $
SL % Target SL $ Target
1.22 % 7.84 $
PNL PNL %
11.77 $ 1.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1832 % 15 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01678
            [stop_loss] => 0.01618
            [rr_ratio] => 2
            [closed_at] => 2025-07-03 09:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01688
            [stop_loss] => 0.01618
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-03 09:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01698
            [stop_loss] => 0.01618
            [rr_ratio] => 3
            [closed_at] => 2025-07-03 10:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01708
            [stop_loss] => 0.01618
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-03 11:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01718
            [stop_loss] => 0.01618
            [rr_ratio] => 4
            [closed_at] => 2025-07-03 11:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.01728
            [stop_loss] => 0.01618
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-03 11:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01738
            [stop_loss] => 0.01618
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 11:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.01748
            [stop_loss] => 0.01618
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 11:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01758
            [stop_loss] => 0.01618
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 11:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.01768
            [stop_loss] => 0.01618
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 11:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01778
            [stop_loss] => 0.01618
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 11:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000672
            [max_drawdown] => 2.9999999999999E-5
            [rr_ratio] => 22.4
            [high] => 0.01705200
            [low] => 0.01635000
            [mfe_pct] => 4.1
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 22.4
            [candles_analyzed] => 24
            [start_at] => 2025-07-03T08:41:51-04:00
            [end_at] => 2025-07-03T10:41:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000672
            [max_drawdown] => 0.000379
            [rr_ratio] => 1.77
            [high] => 0.01705200
            [low] => 0.01600100
            [mfe_pct] => 4.1
            [mae_pct] => 2.31
            [mfe_mae_ratio] => 1.77
            [candles_analyzed] => 72
            [start_at] => 2025-07-03T08:41:51-04:00
            [end_at] => 2025-07-03T14:41:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01737800
            [high_after] => 0.01705200
            [low_before] => 0.01631000
            [low_after] => 0.01600100
            [is_new_high] => 
            [is_new_low] => 
        )

)