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Trade

buy - SUI

Status
win
2025-06-16 06:55:32
44 minutes
PNL
0.65
Entry: 3.0795
Last: 3.09900000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.1028
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 8.16

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.008467457792
Details
  1. score: 2.09
  2. 1H
  3. ema9 - 3.08403
  4. ema21 - 3.05374
  5. ema50 - 3.03422
  6. ema100 - 3.07184
  7. price_ema9_diff - -0.00146966
  8. ema9_ema21_diff - 0.00991715
  9. ema21_ema50_diff - 0.00643375
  10. price_ema100_diff - 0.00249152
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.573889
  14. kc_percentage - 0.654649
  15. kc_width_percentage - 0.0499236
  16. volume_ema_diff - 0.219577
    17. ¸
  17. 15m
  18. ema9 - 3.10107
  19. ema21 - 3.09896
  20. ema50 - 3.07504
  21. ema100 - 3.04664
  22. price_ema9_diff - -0.00695656
  23. ema9_ema21_diff - 0.000680012
  24. ema21_ema50_diff - 0.00777882
  25. price_ema100_diff - 0.0107825
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.452593
  29. kc_percentage - 0.174479
  30. kc_width_percentage - 0.0200758
  31. volume_ema_diff - 0.388116
    32. ¸
  32. 5m
  33. ema9 - 3.09141
  34. ema21 - 3.09912
  35. ema50 - 3.10194
  36. ema100 - 3.09587
  37. price_ema9_diff - -0.00385558
  38. ema9_ema21_diff - -0.00248802
  39. ema21_ema50_diff - -0.00090696
  40. price_ema100_diff - -0.00528846
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.294958
  44. kc_percentage - -0.0850961
  45. kc_width_percentage - 0.0106627
  46. volume_ema_diff - 0.44918
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 106631
  50. 5m_price_ema100_diff: 0.00130511
  51. 5m_price: 106770
  52. 5m_correlation_with_coin: 0.653124
  53. btc_indicators
  54. 15m_ema100: 105931
  55. 15m_price_ema100_diff: 0.0078464
  56. 15m_price: 106762
  57. btc_indicators
  58. 1H_ema100: 105824
  59. 1H_price_ema100_diff: 0.00894359
  60. 1H_price: 106770
    61. ¸

Long Trade on SUI

The 16 Jun 2025 at 06:55:32

With 629.8624 SUI at 3.0795$ per unit.

Position size of 1939.6613 $

Take profit at 3.0986 (0.62 %) and Stop Loss at 3.0668 (0.41 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -96.67 %

Symbol Start at Seach Score Trade Score Trades Count
ONDO 2025-06-16 06:57:29 0.968 -80 3
ADA 2025-06-16 06:54:54 0.9664 -100 3
AVAX 2025-06-16 06:55:35 0.9641 -100 3
WLD 2025-06-16 07:00:20 0.9626 -100 2
1000BONK 2025-06-16 06:56:58 0.9589 -100 2
BNB 2025-06-16 06:54:28 0.9611 -100 1

📌 Time Data

Start at Closed at Duration
16 Jun 2025
06:55:32		 16 Jun 2025
07:40:00		 44 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.0795 3.0668 3.0986 1.5 3.4557
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 3.0795
  • Stop Loss: 3.0668
  • Take Profit: 3.0986

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.0668 - 3.0795 = -0.0127

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.0795 - 3.0986 = -0.0191

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0191 / -0.0127 = 1.5039

📌 Position Size

Amount Margin Quantity Leverage
1939.6613 100 629.8624 19.40
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 -0.0127

Taille de position = 8 / -0.0127 = -629.92

Taille de position USD = -629.92 x 3.0795 = -1939.84

Donc, tu peux acheter -629.92 avec un stoploss a 3.0668

Avec un position size USD de -1939.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -629.92 x -0.0127 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -629.92 x -0.0191 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position -629.92
  • Taille de position USD -1939.84
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5039

📌 Peformances

TP % Target TP $ Target
0.62 % 12.03 $
SL % Target SL $ Target
0.41 % 8 $
PNL PNL %
12.6 $ 0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3508 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.103
            [stop_loss] => 3.067
            [rr_ratio] => 2
            [closed_at] => 2025-06-16 07:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.109
            [stop_loss] => 3.067
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.115
            [stop_loss] => 3.067
            [rr_ratio] => 3
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.121
            [stop_loss] => 3.067
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-16 09:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.127
            [stop_loss] => 3.067
            [rr_ratio] => 4
            [closed_at] => 2025-06-16 09:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.133
            [stop_loss] => 3.067
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-16 10:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.139
            [stop_loss] => 3.067
            [rr_ratio] => 5
            [closed_at] => 2025-06-16 10:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.145
            [stop_loss] => 3.067
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-16 10:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3.151
            [stop_loss] => 3.067
            [rr_ratio] => 6
            [closed_at] => 2025-06-16 10:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 3.157
            [stop_loss] => 3.067
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-16 10:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0386
            [max_drawdown] => 0.0113
            [rr_ratio] => 3.42
            [high] => 3.11810000
            [low] => 3.06820000
            [mfe_pct] => 1.25
            [mae_pct] => 0.37
            [mfe_mae_ratio] => 3.42
            [candles_analyzed] => 24
            [start_at] => 2025-06-16T06:55:32-04:00
            [end_at] => 2025-06-16T08:55:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0802
            [max_drawdown] => 0.0113
            [rr_ratio] => 7.1
            [high] => 3.15970000
            [low] => 3.06820000
            [mfe_pct] => 2.6
            [mae_pct] => 0.37
            [mfe_mae_ratio] => 7.1
            [candles_analyzed] => 72
            [start_at] => 2025-06-16T06:55:32-04:00
            [end_at] => 2025-06-16T12:55:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.14190000
            [high_after] => 3.15970000
            [low_before] => 3.07800000
            [low_after] => 3.06820000
            [is_new_high] => 1
            [is_new_low] => 
        )

)