Web3Way Logo

Trade

buy - 1000BONK

Status
win
2025-06-16 07:30:11
4 minutes
PNL
0.65
Entry: 0.01546
Last: 0.01556000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.7125
Prediction 1 Accuracy
Strong Trade
0.58
Prediction 2 Accuracy
1 0.59
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 4.326511592E-5
Details
  1. score: 2.2
  2. 1H
  3. ema9 - 0.0155161
  4. ema21 - 0.015321
  5. ema50 - 0.01512
  6. ema100 - 0.0151919
  7. price_ema9_diff - -0.00342582
  8. ema9_ema21_diff - 0.0127329
  9. ema21_ema50_diff - 0.0132973
  10. price_ema100_diff - 0.0178401
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.579709
  14. kc_percentage - 0.651998
  15. kc_width_percentage - 0.0546379
  16. volume_ema_diff - -0.140191
    17. ¸
  17. 15m
  18. ema9 - 0.0155704
  19. ema21 - 0.0155862
  20. ema50 - 0.0154502
  21. ema100 - 0.0152534
  22. price_ema9_diff - -0.00690075
  23. ema9_ema21_diff - -0.00101217
  24. ema21_ema50_diff - 0.00879847
  25. price_ema100_diff - 0.0137385
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.407947
  29. kc_percentage - 0.10576
  30. kc_width_percentage - 0.0206086
  31. volume_ema_diff - -0.176892
    32. ¸
  32. 5m
  33. ema9 - 0.0155229
  34. ema21 - 0.0155821
  35. ema50 - 0.0156132
  36. ema100 - 0.0155756
  37. price_ema9_diff - -0.00386001
  38. ema9_ema21_diff - -0.0037993
  39. ema21_ema50_diff - -0.00199219
  40. price_ema100_diff - -0.00722964
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.25552
  44. kc_percentage - -0.199341
  45. kc_width_percentage - 0.0107157
  46. volume_ema_diff - -0.40407
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 106640
  50. 5m_price_ema100_diff: 0.000125113
  51. 5m_price: 106653
  52. 5m_correlation_with_coin: 0.61749
  53. btc_indicators
  54. 15m_ema100: 105973
  55. 15m_price_ema100_diff: 0.00642012
  56. 15m_price: 106653
  57. btc_indicators
  58. 1H_ema100: 105854
  59. 1H_price_ema100_diff: 0.00755138
  60. 1H_price: 106653
    61. ¸

Long Trade on 1000BONK

The 16 Jun 2025 at 07:30:11

With 123300 1000BONK at 0.01546$ per unit.

Position size of 1906 $

Take profit at 0.01556 (0.65 %) and Stop Loss at 0.0154 (0.39 %)

That's a 1.7 RR Trade

📌 Similar Trades

Similar Trade Score: 42.5 %

Symbol Start at Seach Score Trade Score Trades Count
BNB 2025-06-16 07:28:35 0.9878 40 1
AVAX 2025-06-16 07:31:35 0.9786 50 2
SHIB 2025-06-16 07:29:16 0.9796 40 1
ADA 2025-06-16 07:27:40 0.978 80 1
WLD 2025-06-16 07:30:28 0.977 40 1
ONDO 2025-06-16 07:20:47 0.9766 -70 1
PEPE 2025-06-16 07:29:55 0.9759 50 1
TAO 2025-06-16 07:31:11 0.9703 50 1
LINK 2025-06-16 07:27:53 0.9689 60 1
DOT 2025-06-16 07:28:08 0.9674 60 1
BTC 2025-06-16 07:26:58 0.9672 60 1
ETH 2025-06-16 07:27:11 0.9672 50 1

📌 Time Data

Start at Closed at Duration
16 Jun 2025
07:30:11		 16 Jun 2025
07:35:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01546 0.0154 0.01556 1.7 0.02216
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 0.01546
  • Stop Loss: 0.0154
  • Take Profit: 0.01556

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0154 - 0.01546 = -5.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01546 - 0.01556 = -9.9999999999999E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -9.9999999999999E-5 / -5.9999999999999E-5 = 1.6667

📌 Position Size

Amount Margin Quantity Leverage
1906 100 123300 19.06
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 0.01546 = -2061.33

Donc, tu peux acheter -133333.33 avec un stoploss a 0.0154

Avec un position size USD de -2061.33$

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 -9.9999999999999E-5 = 13.33

Si Take Profit atteint, tu gagneras 13.33$

Résumé

  • Taille de position -133333.33
  • Taille de position USD -2061.33
  • Perte potentielle 8
  • Gain potentiel 13.33
  • Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target TP $ Target
0.65 % 12 $
SL % Target SL $ Target
0.39 % 7.4 $
PNL PNL %
12 $ 0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01558
            [stop_loss] => 0.0154
            [rr_ratio] => 2
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01561
            [stop_loss] => 0.0154
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01564
            [stop_loss] => 0.0154
            [rr_ratio] => 3
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01567
            [stop_loss] => 0.0154
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-16 09:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0157
            [stop_loss] => 0.0154
            [rr_ratio] => 4
            [closed_at] => 2025-06-16 09:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.01573
            [stop_loss] => 0.0154
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-16 09:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01576
            [stop_loss] => 0.0154
            [rr_ratio] => 5
            [closed_at] => 2025-06-16 09:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.01579
            [stop_loss] => 0.0154
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-16 10:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.01582
            [stop_loss] => 0.0154
            [rr_ratio] => 6
            [closed_at] => 2025-06-16 10:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.01585
            [stop_loss] => 0.0154
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-16 10:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.01588
            [stop_loss] => 0.0154
            [rr_ratio] => 7
            [closed_at] => 2025-06-16 10:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)