Trade

sell - 1000BONK

Status
win
2025-06-05 21:40:54
29 minutes
PNL
0.94
Entry: 0.01488
Last: 0.01474000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2833
Prediction 1 Accuracy
Weak Trade
0.59
Prediction 2 Accuracy
0 0.41
ML Trade Score: 40
ML Pullback Score: 4.52

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 6.366728485E-5
Details
  1. score: 1.13
  2. 1H
  3. ema9 - 0.0147962
  4. ema21 - 0.0151354
  5. ema50 - 0.0157251
  6. ema100 - 0.0161868
  7. price_ema9_diff - 0.00586102
  8. ema9_ema21_diff - -0.0224066
  9. ema21_ema50_diff - -0.0375015
  10. price_ema100_diff - -0.0805517
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.417013
  14. kc_percentage - 0.326248
  15. kc_width_percentage - 0.0872728
  16. volume_ema_diff - -0.054421
  17. ¸
  18. 15m
  19. ema9 - 0.014708
  20. ema21 - 0.0146707
  21. ema50 - 0.0148739
  22. ema100 - 0.015155
  23. price_ema9_diff - 0.0118948
  24. ema9_ema21_diff - 0.00254376
  25. ema21_ema50_diff - -0.0136612
  26. price_ema100_diff - -0.0179518
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.600505
  30. kc_percentage - 0.912078
  31. kc_width_percentage - 0.0350953
  32. volume_ema_diff - -0.549436
  33. ¸
  34. 5m
  35. ema9 - 0.0147984
  36. ema21 - 0.014727
  37. ema50 - 0.0146595
  38. ema100 - 0.0147074
  39. price_ema9_diff - 0.00571447
  40. ema9_ema21_diff - 0.00484709
  41. ema21_ema50_diff - 0.00460285
  42. price_ema100_diff - 0.0119347
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.683595
  46. kc_percentage - 1.12923
  47. kc_width_percentage - 0.0161439
  48. volume_ema_diff - -0.580678
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 101896
  53. 5m_price_ema100_diff: -0.000362574
  54. 5m_price: 101860
  55. 5m_correlation_with_coin: 0.84489
  56. btc_indicators
  57. 15m_ema100: 103233
  58. 15m_price_ema100_diff: -0.0133023
  59. 15m_price: 101860
  60. btc_indicators
  61. 1H_ema100: 104548
  62. 1H_price_ema100_diff: -0.0257143
  63. 1H_price: 101860
  64. ¸

Short Trade on 1000BONK

The 05 Jun 2025 at 21:40:54

With 83768.8201 1000BONK at 0.01488$ per unit.

Position size of 1246.7314 $

Take profit at 0.01474 (0.94 %) and Stop Loss at 0.01498 (0.67 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -28 %

Symbol Start at Seach Score Trade Score Trades Count
MELANIA 2025-06-05 21:42:47 0.9677 -100 1
ARC 2025-04-06 18:12:12 0.9643 -54 5
WCT 2025-06-09 06:27:04 0.9595 30 2
DOT 2025-06-13 02:59:06 0.9612 -100 1
BANANA 2025-04-06 20:41:45 0.959 30 1
BANANA 2025-04-02 06:31:55 0.958 30 1
TAO 2025-06-05 21:48:54 0.9583 40 1
PENDLE 2025-06-13 03:02:26 0.9582 -100 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
21:40:54
05 Jun 2025
22:10:00
29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01488 0.01498 0.01474 1.4 0.03202
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 0.01488
  • Stop Loss: 0.01498
  • Take Profit: 0.01474

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01498 - 0.01488 = 9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01488 - 0.01474 = 0.00014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00014 / 9.9999999999999E-5 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
1246.7314 100 83768.8201 12.47
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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.01488 = 1190.4

Donc, tu peux acheter 80000 avec un stoploss a 0.01498

Avec un position size USD de 1190.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00014 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 80000
  • Taille de position USD 1190.4
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.94 % 11.73 $
SL % Target SL $ Target
0.67 % 8.38 $
PNL PNL %
11.73 $ 0.94
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01468
            [stop_loss] => 0.01498
            [rr_ratio] => 2
            [closed_at] => 2025-06-05 22:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01463
            [stop_loss] => 0.01498
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.01458
            [stop_loss] => 0.01498
            [rr_ratio] => 3
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.01453
            [stop_loss] => 0.01498
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01448
            [stop_loss] => 0.01498
            [rr_ratio] => 4
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.01443
            [stop_loss] => 0.01498
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01438
            [stop_loss] => 0.01498
            [rr_ratio] => 5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.01433
            [stop_loss] => 0.01498
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01428
            [stop_loss] => 0.01498
            [rr_ratio] => 6
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.01423
            [stop_loss] => 0.01498
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01418
            [stop_loss] => 0.01498
            [rr_ratio] => 7
            [closed_at] => 2025-06-06 01:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000215
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.01484400
            [low] => 0.01466500
            [mfe_pct] => 1.44
            [mae_pct] => -0.24
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-06-05T21:40:54-04:00
            [end_at] => 2025-06-05T23:40:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000215
            [max_drawdown] => 0.000251
            [rr_ratio] => 0.86
            [high] => 0.01513100
            [low] => 0.01466500
            [mfe_pct] => 1.44
            [mae_pct] => 1.69
            [mfe_mae_ratio] => 0.86
            [candles_analyzed] => 72
            [start_at] => 2025-06-05T21:40:54-04:00
            [end_at] => 2025-06-06T03:40:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01489300
            [high_after] => 0.01513100
            [low_before] => 0.01435700
            [low_after] => 0.01466500
            [is_new_high] => 
            [is_new_low] => 
        )

)