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Trade

buy - 1000BONK

Status
loss
2025-06-09 09:51:18
3 minutes
PNL
-0.63
Entry: 0.01597
Last: 0.01587000

Results

Status:
loss
Trade Type:
buy
Prediction Score: -0.1568
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.71
Prediction 3 Probability
n/a
ML Trade Score: -70
ML Pullback Score: 8.23

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 6.959943755E-5
Details
  1. score: 2.12
  2. 1H
  3. ema9 - 0.0160133
  4. ema21 - 0.0158713
  5. ema50 - 0.0156865
  6. ema100 - 0.015562
  7. price_ema9_diff - -0.00258507
  8. ema9_ema21_diff - 0.00895174
  9. ema21_ema50_diff - 0.0117779
  10. price_ema100_diff - 0.0263408
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.543875
  14. kc_percentage - 0.586668
  15. kc_width_percentage - 0.0661947
  16. volume_ema_diff - 0.508629
    17. ¸
  17. 15m
  18. ema9 - 0.0161399
  19. ema21 - 0.0160944
  20. ema50 - 0.0159553
  21. ema100 - 0.0158441
  22. price_ema9_diff - -0.0104068
  23. ema9_ema21_diff - 0.00283061
  24. ema21_ema50_diff - 0.00871247
  25. price_ema100_diff - 0.00806987
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.471322
  29. kc_percentage - 0.262385
  30. kc_width_percentage - 0.0339876
  31. volume_ema_diff - 0.336746
    32. ¸
  32. 5m
  33. ema9 - 0.0160777
  34. ema21 - 0.0161469
  35. ema50 - 0.0161205
  36. ema100 - 0.0159832
  37. price_ema9_diff - -0.00657995
  38. ema9_ema21_diff - -0.00428204
  39. ema21_ema50_diff - 0.00163715
  40. price_ema100_diff - -0.000703381
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.323501
  44. kc_percentage - -0.120609
  45. kc_width_percentage - 0.0173745
  46. volume_ema_diff - 0.347137
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 106715
  50. 5m_price_ema100_diff: 0.00510859
  51. 5m_price: 107260
  52. 5m_correlation_with_coin: -0.000192
  53. btc_indicators
  54. 15m_ema100: 106200
  55. 15m_price_ema100_diff: 0.00997599
  56. 15m_price: 107260
  57. btc_indicators
  58. 1H_ema100: 105271
  59. 1H_price_ema100_diff: 0.0188905
  60. 1H_price: 107260
    61. ¸

Long Trade on 1000BONK

The 09 Jun 2025 at 09:51:18

With 76628.9717 1000BONK at 0.01597$ per unit.

Position size of 1223.9179 $

Take profit at 0.01613 (1 %) and Stop Loss at 0.01587 (0.63 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -3.7 %

Symbol Start at Seach Score Trade Score Trades Count
SOL 2025-06-09 09:57:48 0.9728 30 1
NEAR 2025-06-09 09:53:18 0.9595 -53.33 3
ETH 2025-06-09 09:57:19 0.9634 40 1
APT 2025-06-09 09:58:37 0.9538 40 1
UNI 2025-06-09 09:58:10 0.9506 30 1
BNB 2025-06-09 09:57:59 0.949 40 1
WIF 2025-06-09 10:00:10 0.9442 40 1
POPCAT 2025-06-09 09:40:19 0.9425 -100 1
IP 2025-07-29 06:11:20 0.9346 -100 1

📌 Time Data

Start at Closed at Duration
09 Jun 2025
09:51:18		 09 Jun 2025
09:55:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01597 0.01587 0.01613 1.6 0.02305
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 0.01597
  • Stop Loss: 0.01587
  • Take Profit: 0.01613

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01587 - 0.01597 = -0.0001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01597 - 0.01613 = -0.00016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00016 / -0.0001 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
1223.9179 100 76628.9717 12.24
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 -0.0001

Taille de position = 8 / -0.0001 = -80000

Taille de position USD = -80000 x 0.01597 = -1277.6

Donc, tu peux acheter -80000 avec un stoploss a 0.01587

Avec un position size USD de -1277.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -80000 x -0.0001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -80000 x -0.00016 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position -80000
  • Taille de position USD -1277.6
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
1 % 12.26 $
SL % Target SL $ Target
0.63 % 7.66 $
PNL PNL %
-7.66 $ -0.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7201 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01613
            [entry_price] => 0.01597
            [stop_loss] => 0.01586
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-09 09:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01613
            [entry_price] => 0.01597
            [stop_loss] => 0.01585
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-09 10:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.01613
            [entry_price] => 0.01597
            [stop_loss] => 0.01584
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-09 10:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.01613
            [entry_price] => 0.01597
            [stop_loss] => 0.01582
            [rr_ratio] => 1.07
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-09 10:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00042
            [max_drawdown] => 0.000115
            [rr_ratio] => 3.65
            [high] => 0.01639000
            [low] => 0.01585500
            [mfe_pct] => 2.63
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 3.65
            [candles_analyzed] => 24
            [start_at] => 2025-06-09T09:51:18-04:00
            [end_at] => 2025-06-09T11:51:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000752
            [max_drawdown] => 0.000115
            [rr_ratio] => 6.54
            [high] => 0.01672200
            [low] => 0.01585500
            [mfe_pct] => 4.71
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 6.54
            [candles_analyzed] => 72
            [start_at] => 2025-06-09T09:51:18-04:00
            [end_at] => 2025-06-09T15:51:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01642000
            [high_after] => 0.01672200
            [low_before] => 0.01589300
            [low_after] => 0.01585500
            [is_new_high] => 1
            [is_new_low] => 
        )

)