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Trade

buy - 1000BONK

Status
win
2025-06-29 01:31:27
43 minutes
PNL
0.62
Entry: 0.01444
Last: 0.01453000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.944
Prediction 1 Accuracy
Weak Trade
0.59
Prediction 2 Accuracy
0 0.41
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 4.034016808E-5
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 0.0144991
  4. ema21 - 0.0142691
  5. ema50 - 0.0139321
  6. ema100 - 0.0138318
  7. price_ema9_diff - -0.00394278
  8. ema9_ema21_diff - 0.0161205
  9. ema21_ema50_diff - 0.0241879
  10. price_ema100_diff - 0.0441136
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.587478
  14. kc_percentage - 0.690228
  15. kc_width_percentage - 0.0560236
  16. volume_ema_diff - -0.309705
  17. volume_ema1 - 371029.94701306
  18. volume_ema2 - 537495.2604459
    19. ¸
  19. 15m
  20. ema9 - 0.0145261
  21. ema21 - 0.0145431
  22. ema50 - 0.0144281
  23. ema100 - 0.014179
  24. price_ema9_diff - -0.0057916
  25. ema9_ema21_diff - -0.00117276
  26. ema21_ema50_diff - 0.00797244
  27. price_ema100_diff - 0.0185424
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.443273
  31. kc_percentage - 0.21107
  32. kc_width_percentage - 0.024439
  33. volume_ema_diff - -0.353005
  34. volume_ema1 - 91270.118335536
  35. volume_ema2 - 141067.79398191
    36. ¸
  36. 5m
  37. ema9 - 0.0145037
  38. ema21 - 0.0145337
  39. ema50 - 0.0145523
  40. ema100 - 0.0145452
  41. price_ema9_diff - -0.00425992
  42. ema9_ema21_diff - -0.00206341
  43. ema21_ema50_diff - -0.0012744
  44. price_ema100_diff - -0.00709677
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.369823
  48. kc_percentage - -0.0677472
  49. kc_width_percentage - 0.0110248
  50. volume_ema_diff - -0.0266008
  51. volume_ema1 - 31246.921758436
  52. volume_ema2 - 32100.830818088
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 107224
  56. 5m_price_ema100_diff: -0.000448424
  57. 5m_price: 107176
  58. 5m_correlation_with_coin: 0.473764
  59. btc_indicators
  60. 15m_ema100: 107233
  61. 15m_price_ema100_diff: -0.000528433
  62. 15m_price: 107176
  63. btc_indicators
  64. 1H_ema100: 107079
  65. 1H_price_ema100_diff: 0.000912237
  66. 1H_price: 107176
    67. ¸

Long Trade on 1000BONK

The 29 Jun 2025 at 01:31:27

With 132200 1000BONK at 0.01444$ per unit.

Position size of 1909 $

Take profit at 0.01453 (0.62 %) and Stop Loss at 0.01438 (0.42 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -30 %

Symbol Start at Seach Score Trade Score Trades Count
VOXEL 2025-04-20 10:06:42 0.9716 -100 4
GRIFFAIN 2025-07-03 00:02:44 0.9664 40 1
HYPE 2025-06-29 01:35:58 0.9647 30 2
TRX 2025-04-12 13:30:19 0.9643 -100 1
ICP 2025-07-02 23:19:40 0.9642 30 1
MKR 2025-06-14 05:35:18 0.9632 -100 3
TURBO 2025-05-20 02:31:41 0.9635 -100 1
ACT 2025-07-03 00:01:45 0.9605 60 1

📌 Time Data

Start at Closed at Duration
29 Jun 2025
01:31:27		 29 Jun 2025
02:15:00		 43 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01444 0.01438 0.01453 1.5 0.0222
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 0.01444
  • Stop Loss: 0.01438
  • Take Profit: 0.01453

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01438 - 0.01444 = -5.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01444 - 0.01453 = -9.0E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -9.0E-5 / -5.9999999999999E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1909 100 132200 19.09
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 -5.9999999999999E-5

Taille de position = 8 / -5.9999999999999E-5 = -133333.33

Taille de position USD = -133333.33 x 0.01444 = -1925.33

Donc, tu peux acheter -133333.33 avec un stoploss a 0.01438

Avec un position size USD de -1925.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -133333.33 x -5.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -133333.33 x -9.0E-5 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -133333.33
  • Taille de position USD -1925.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.62 % 12 $
SL % Target SL $ Target
0.42 % 7.9 $
PNL PNL %
12 $ 0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1593 % 38.34 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01456
            [stop_loss] => 0.01438
            [rr_ratio] => 2
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.01459
            [stop_loss] => 0.01438
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.01462
            [stop_loss] => 0.01438
            [rr_ratio] => 3
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.01465
            [stop_loss] => 0.01438
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01468
            [stop_loss] => 0.01438
            [rr_ratio] => 4
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.01471
            [stop_loss] => 0.01438
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01474
            [stop_loss] => 0.01438
            [rr_ratio] => 5
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.01477
            [stop_loss] => 0.01438
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.0148
            [stop_loss] => 0.01438
            [rr_ratio] => 6
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.01483
            [stop_loss] => 0.01438
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01486
            [stop_loss] => 0.01438
            [rr_ratio] => 7
            [closed_at] => 2025-06-29 02:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)