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Trade

buy - 1000BONK

Status
win
2025-08-04 01:46:11
8 minutes
PNL
0.83
Entry: 0.02651
Last: 0.02673000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.55
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.61
ML Trade Score: 100
ML Pullback Score: 9.12

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0001003261561
Details
  1. score: 2
  2. 1H
  3. ema9 - 0.0265758
  4. ema21 - 0.0262215
  5. ema50 - 0.0260001
  6. ema100 - 0.0263418
  7. price_ema9_diff - -0.00259021
  8. ema9_ema21_diff - 0.0135107
  9. ema21_ema50_diff - 0.0085149
  10. price_ema100_diff - 0.00626786
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.584108
  14. adx - 0.325634
  15. kc_percentage - 0.665262
  16. kc_width_percentage - 0.0598445
  17. volume_ema_diff - 0.0239384
  18. volume_ema1 - 3611383.0650616
  19. volume_ema2 - 3526953.3539189
    20. ¸
  20. 15m
  21. ema9 - 0.0266816
  22. ema21 - 0.0266814
  23. ema50 - 0.0264362
  24. ema100 - 0.0260972
  25. price_ema9_diff - -0.00654582
  26. ema9_ema21_diff - 7.11316E-6
  27. ema21_ema50_diff - 0.00927489
  28. price_ema100_diff - 0.015699
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.448107
  32. adx - 0.329726
  33. kc_percentage - 0.260113
  34. kc_width_percentage - 0.0283445
  35. volume_ema_diff - 0.00800999
  36. volume_ema1 - 848138.55490858
  37. volume_ema2 - 841398.95001431
    38. ¸
  38. 5m
  39. ema9 - 0.0266343
  40. ema21 - 0.0267119
  41. ema50 - 0.0267334
  42. ema100 - 0.0266416
  43. price_ema9_diff - -0.00478324
  44. ema9_ema21_diff - -0.00290431
  45. ema21_ema50_diff - -0.000802723
  46. price_ema100_diff - -0.0050524
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.328969
  50. adx - 0.148318
  51. kc_percentage - -0.0022619
  52. kc_width_percentage - 0.0150744
  53. volume_ema_diff - 0.379331
  54. volume_ema1 - 439383.64699439
  55. volume_ema2 - 318548.15131032
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 114431
  59. 5m_price_ema100_diff: -0.00214866
  60. 5m_price: 114185
  61. 5m_correlation_with_coin: 0.562859
  62. btc_indicators
  63. 15m_ema100: 114121
  64. 15m_price_ema100_diff: 0.000564574
  65. 15m_price: 114185
  66. btc_indicators
  67. 1H_ema100: 114808
  68. 1H_price_ema100_diff: -0.00542404
  69. 1H_price: 114185
    70. ¸

Long Trade on 1000BONK

The 04 Aug 2025 at 01:46:11

With 53159.9489 1000BONK at 0.02651$ per unit.

Position size of 1409.1108 $

Take profit at 0.02673 (0.83 %) and Stop Loss at 0.02636 (0.57 %)

That's a 1.47 RR Trade

📌 Similar Trades

Similar Trade Score: -43.33 %

Symbol Start at Seach Score Trade Score Trades Count
JUP 2025-05-26 06:49:59 0.9646 40 2
PENGU 2025-07-26 03:35:25 0.9675 -100 1
VVV 2025-08-15 11:33:44 0.9672 30 1
AAVE 2025-08-04 01:45:10 0.9651 30 1
CLOUD 2025-06-11 14:19:16 0.9633 -100 1
KAS 2025-08-12 21:48:24 0.9617 -100 1
AVAX 2025-06-09 23:13:52 0.959 -100 2
LAYER 2025-05-23 07:49:34 0.96 -100 1
PEPE 2025-05-18 15:03:50 0.9592 -100 1
AR 2025-07-20 23:55:18 0.9581 40 1
RENDER 2025-08-04 01:46:58 0.9579 40 1
VIRTUAL 2025-05-18 15:34:12 0.9576 -100 1

📌 Time Data

Start at Closed at Duration
04 Aug 2025
01:46:11		 04 Aug 2025
01:55:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02651 0.02636 0.02673 1.47 0.02286
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 0.02651
  • Stop Loss: 0.02636
  • Take Profit: 0.02673

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02636 - 0.02651 = -0.00015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02651 - 0.02673 = -0.00022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00022 / -0.00015 = 1.4667

📌 Position Size

Amount Margin Quantity Leverage
1409.1108 100 53159.9489 14.09
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 -0.00015

Taille de position = 8 / -0.00015 = -53333.33

Taille de position USD = -53333.33 x 0.02651 = -1413.87

Donc, tu peux acheter -53333.33 avec un stoploss a 0.02636

Avec un position size USD de -1413.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -53333.33 x -0.00015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -53333.33 x -0.00022 = 11.73

Si Take Profit atteint, tu gagneras 11.73$

Résumé

  • Taille de position -53333.33
  • Taille de position USD -1413.87
  • Perte potentielle 8
  • Gain potentiel 11.73
  • Risk-Reward Ratio 1.4667

📌 Peformances

TP % Target TP $ Target
0.83 % 11.7 $
SL % Target SL $ Target
0.57 % 7.97 $
PNL PNL %
11.69 $ 0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02681
            [stop_loss] => 0.02636
            [rr_ratio] => 2
            [closed_at] => 2025-08-04 03:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.026885
            [stop_loss] => 0.02636
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-04 03:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02696
            [stop_loss] => 0.02636
            [rr_ratio] => 3
            [closed_at] => 2025-08-04 03:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.027035
            [stop_loss] => 0.02636
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-04 03:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.02711
            [stop_loss] => 0.02636
            [rr_ratio] => 4
            [closed_at] => 2025-08-04 04:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.027185
            [stop_loss] => 0.02636
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-04 04:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.02726
            [stop_loss] => 0.02636
            [rr_ratio] => 5
            [closed_at] => 2025-08-04 04:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000568
            [max_drawdown] => 6.3000000000001E-5
            [rr_ratio] => 9.02
            [high] => 0.02707800
            [low] => 0.02644700
            [mfe_pct] => 2.14
            [mae_pct] => 0.24
            [mfe_mae_ratio] => 9.02
            [candles_analyzed] => 24
            [start_at] => 2025-08-04T01:46:11-04:00
            [end_at] => 2025-08-04T03:46:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000776
            [max_drawdown] => 0.000139
            [rr_ratio] => 5.58
            [high] => 0.02728600
            [low] => 0.02637100
            [mfe_pct] => 2.93
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 5.58
            [candles_analyzed] => 84
            [start_at] => 2025-08-04T01:46:11-04:00
            [end_at] => 2025-08-04T08:46:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02724600
            [high_after] => 0.02728600
            [low_before] => 0.02642700
            [low_after] => 0.02637100
            [is_new_high] => 1
            [is_new_low] => 
        )

)