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Trade

buy - WLD

Status
win
2025-06-16 07:30:28
4 minutes
PNL
0.60
Entry: 1.0007
Last: 1.00700000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.613
Prediction 1 Probability
Strong Trade
0.55
Prediction 2 Probability
1 0.44
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.002886798235
Details
  1. score: 2.08
  2. 1H
  3. ema9 - 1.00383
  4. ema21 - 0.994641
  5. ema50 - 0.990189
  6. ema100 - 1.00305
  7. price_ema9_diff - -0.00311993
  8. ema9_ema21_diff - 0.00923965
  9. ema21_ema50_diff - 0.00449614
  10. price_ema100_diff - -0.0023447
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.557978
  14. kc_percentage - 0.614977
  15. kc_width_percentage - 0.0479492
  16. volume_ema_diff - 0.271974
    17. ¸
  17. 15m
  18. ema9 - 1.00707
  19. ema21 - 1.00809
  20. ema50 - 1.00055
  21. ema100 - 0.992486
  22. price_ema9_diff - -0.00633002
  23. ema9_ema21_diff - -0.00100763
  24. ema21_ema50_diff - 0.00753283
  25. price_ema100_diff - 0.00827562
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.408009
  29. kc_percentage - 0.139827
  30. kc_width_percentage - 0.0209491
  31. volume_ema_diff - 0.149864
    32. ¸
  32. 5m
  33. ema9 - 1.00342
  34. ema21 - 1.00744
  35. ema50 - 1.00962
  36. ema100 - 1.00638
  37. price_ema9_diff - -0.00271493
  38. ema9_ema21_diff - -0.00399249
  39. ema21_ema50_diff - -0.0021571
  40. price_ema100_diff - -0.00564474
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.309059
  44. kc_percentage - -0.0802387
  45. kc_width_percentage - 0.011209
  46. volume_ema_diff - 0.0431582
    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: 0.702079
  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 WLD

The 16 Jun 2025 at 07:30:28

With 1847.4909 WLD at 1.0007$ per unit.

Position size of 1848.7841 $

Take profit at 1.0072 (0.65 %) and Stop Loss at 0.9964 (0.43 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: 31.67 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-06-16 07:31:35 0.9882 50 2
ETH 2025-06-16 07:27:11 0.9822 50 1
VIRTUAL 2025-06-16 07:32:03 0.9792 40 1
ONDO 2025-06-16 07:20:47 0.9788 -70 1
LINK 2025-06-16 07:27:53 0.9784 60 1
PEPE 2025-06-16 07:29:55 0.977 50 1
1000BONK 2025-06-16 07:30:11 0.977 60 1
ADA 2025-06-16 07:27:40 0.9763 80 1
BNB 2025-06-16 07:28:35 0.9748 40 1
ORDI 2025-07-18 06:46:34 0.974 -100 1
BTC 2025-06-16 07:26:58 0.9733 60 1
DOT 2025-06-16 07:28:08 0.9728 60 1

📌 Time Data

Start at Closed at Duration
16 Jun 2025
07:30:28		 16 Jun 2025
07:35:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0007 0.9964 1.0072 1.51 0.9814
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 1.0007
  • Stop Loss: 0.9964
  • Take Profit: 1.0072

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9964 - 1.0007 = -0.0043

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0007 - 1.0072 = -0.0065000000000002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0065000000000002 / -0.0043 = 1.5116

📌 Position Size

Amount Margin Quantity Leverage
1848.7841 100 1847.4909 18.49
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 -0.0043

Taille de position = 8 / -0.0043 = -1860.47

Taille de position USD = -1860.47 x 1.0007 = -1861.77

Donc, tu peux acheter -1860.47 avec un stoploss a 0.9964

Avec un position size USD de -1861.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1860.47 x -0.0043 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1860.47 x -0.0065000000000002 = 12.09

Si Take Profit atteint, tu gagneras 12.09$

Résumé

  • Taille de position -1860.47
  • Taille de position USD -1861.77
  • Perte potentielle 8
  • Gain potentiel 12.09
  • Risk-Reward Ratio 1.5116

📌 Peformances

TP % Target TP $ Target
0.65 % 12.01 $
SL % Target SL $ Target
0.43 % 7.94 $
PNL PNL %
11.08 $ 0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.0102
            [stop_loss] => 0.9964
            [rr_ratio] => 2
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.0125
            [stop_loss] => 0.9964
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-16 09:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.0148
            [stop_loss] => 0.9964
            [rr_ratio] => 3
            [closed_at] => 2025-06-16 09:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.0171
            [stop_loss] => 0.9964
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-16 09:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.0194
            [stop_loss] => 0.9964
            [rr_ratio] => 4
            [closed_at] => 2025-06-16 10:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.0217
            [stop_loss] => 0.9964
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-16 10:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.024
            [stop_loss] => 0.9964
            [rr_ratio] => 5
            [closed_at] => 2025-06-16 10:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.02435
            [stop_loss] => 0.9964
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-16 10:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0104
            [max_drawdown] => 0.0014999999999999
            [rr_ratio] => 6.93
            [high] => 1.01110000
            [low] => 0.99920000
            [mfe_pct] => 1.04
            [mae_pct] => 0.15
            [mfe_mae_ratio] => 6.93
            [candles_analyzed] => 24
            [start_at] => 2025-06-16T07:30:28-04:00
            [end_at] => 2025-06-16T09:30:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0253
            [max_drawdown] => 0.0014999999999999
            [rr_ratio] => 16.87
            [high] => 1.02600000
            [low] => 0.99920000
            [mfe_pct] => 2.53
            [mae_pct] => 0.15
            [mfe_mae_ratio] => 16.87
            [candles_analyzed] => 72
            [start_at] => 2025-06-16T07:30:28-04:00
            [end_at] => 2025-06-16T13:30:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.02280000
            [high_after] => 1.02600000
            [low_before] => 0.99850000
            [low_after] => 0.99920000
            [is_new_high] => 1
            [is_new_low] => 
        )

)