Short Trade on 1000BONK 29 Jul 2025 at 03:59:03

Take profit at 0.03243 (1.34 %) and Stop Loss at 0.03317 (0.91 %)

Short Trade on 1000BONK

The 29 Jul 2025 at 03:59:03

With 26860.455 1000BONK at 0.03287$ per unit.

Position size of 882.9569 $

Take profit at 0.03243 (1.34 %) and Stop Loss at 0.03317 (0.91 %)

That's a 1.47 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 110
ML Pullback Score: 10
Prediction Score: -0.2875
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.680816

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0001985570737
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.0323882
  4. ema21 : 0.032968
  5. ema50 : 0.0336831
  6. ema100 : 0.0339981
  7. price_ema9_diff : 0.0149349
  8. ema9_ema21_diff : -0.0175863
  9. ema21_ema50_diff : -0.0212286
  10. price_ema100_diff : -0.0331251
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.47452
  14. adx : 0.18723
  15. kc_percentage : 0.485265
  16. kc_width_percentage : 0.10965
  17. volume_ema_diff : -0.188842
  18. volume_ema1 : 7076373.9570479
  19. volume_ema2 : 8723799.8308527
  20. ¸
  21. 15m
  22. ema9 : 0.032318
  23. ema21 : 0.0322138
  24. ema50 : 0.0325474
  25. ema100 : 0.0331819
  26. price_ema9_diff : 0.01714
  27. ema9_ema21_diff : 0.00323492
  28. ema21_ema50_diff : -0.0102497
  29. price_ema100_diff : -0.00934128
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.593248
  33. adx : 0.293483
  34. kc_percentage : 0.967168
  35. kc_width_percentage : 0.0429126
  36. volume_ema_diff : -0.00299204
  37. volume_ema1 : 1945670.3501031
  38. volume_ema2 : 1951509.3583441
  39. ¸
  40. 5m
  41. ema9 : 0.0325326
  42. ema21 : 0.0323652
  43. ema50 : 0.0322049
  44. ema100 : 0.0321244
  45. price_ema9_diff : 0.0104301
  46. ema9_ema21_diff : 0.00517283
  47. ema21_ema50_diff : 0.00497736
  48. price_ema100_diff : 0.0232712
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.701748
  52. adx : 0.174937
  53. kc_percentage : 1.11353
  54. kc_width_percentage : 0.0246513
  55. volume_ema_diff : 1.42624
  56. volume_ema1 : 1487421.0625047
  57. volume_ema2 : 613053.57418392
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    118504
  62. 5m_price_ema100_diff:
    0.00276504
  63. 5m_price:
    118832
  64. 5m_correlation_with_coin:
    0.680816
  65. btc_indicators
  66. 15m_ema100:
    118425
  67. 15m_price_ema100_diff:
    0.00536674
  68. 15m_price:
    119061
  69. btc_indicators
  70. 1H_ema100:
    117934
  71. 1H_price_ema100_diff:
    0.00761504
  72. 1H_price:
    118832
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Jul 2025
03:59:03
29 Jul 2025
04:05:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03287 0.03317 0.03243 1.47 0.00608
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 0.03287
  • Stop Loss: 0.03317
  • Take Profit: 0.03243

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03317 - 0.03287 = 0.00029999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03287 - 0.03243 = 0.00044

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00044 / 0.00029999999999999 = 1.4667

📌 Position Size

Amount Margin Quantity Leverage
882.9569 100 26860.455 8.83
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 0.00029999999999999

Taille de position = 8 / 0.00029999999999999 = 26666.67

Taille de position USD = 26666.67 x 0.03287 = 876.53

Donc, tu peux acheter 26666.67 avec un stoploss a 0.03317

Avec un position size USD de 876.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 26666.67 x 0.00029999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 26666.67 x 0.00044 = 11.73

Si Take Profit atteint, tu gagneras 11.73$

Résumé

  • Taille de position 26666.67
  • Taille de position USD 876.53
  • Perte potentielle 8
  • Gain potentiel 11.73
  • Risk-Reward Ratio 1.4667

📌 Peformances

TP % Target TP $ Target
1.34 % 11.82 $
SL % Target SL $ Target
0.91 % 8.06 $
PNL PNL %
11.82 $ 1.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1034 % 11.33 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.03227
            [stop_loss] => 0.03317
            [rr_ratio] => 2
            [closed_at] => 2025-07-29 04:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.03212
            [stop_loss] => 0.03317
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-29 05:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.03197
            [stop_loss] => 0.03317
            [rr_ratio] => 3
            [closed_at] => 2025-07-29 05:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.03182
            [stop_loss] => 0.03317
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-29 06:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.03167
            [stop_loss] => 0.03317
            [rr_ratio] => 4
            [closed_at] => 2025-07-29 06:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.03152
            [stop_loss] => 0.03317
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-29 06:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.03137
            [stop_loss] => 0.03317
            [rr_ratio] => 5
            [closed_at] => 2025-07-29 06:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.03122
            [stop_loss] => 0.03317
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-29 06:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001021
            [max_drawdown] => 3.3999999999999E-5
            [rr_ratio] => 30.03
            [high] => 0.03290400
            [low] => 0.03184900
            [mfe_pct] => 3.11
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 30.03
            [candles_analyzed] => 24
            [start_at] => 2025-07-29T03:59:03-04:00
            [end_at] => 2025-07-29T05:59:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.002791
            [max_drawdown] => 3.3999999999999E-5
            [rr_ratio] => 82.09
            [high] => 0.03290400
            [low] => 0.03007900
            [mfe_pct] => 8.49
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 82.09
            [candles_analyzed] => 84
            [start_at] => 2025-07-29T03:59:03-04:00
            [end_at] => 2025-07-29T10:59:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03291600
            [high_after] => 0.03290400
            [low_before] => 0.03167200
            [low_after] => 0.03115000
            [is_new_high] => 
            [is_new_low] => 1
        )

)