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Trade

buy - KAS

Status
win
2025-07-27 21:55:47
24 minutes
PNL
0.67
Entry: 0.1043
Last: 0.10500000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.605
Prediction 1 Probability
Strong Trade
0.85
Prediction 2 Probability
2 0.49
Prediction 3 Probability
1 0.73
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: 0.03
  4. atr: 0.0003104722912
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 0.104939
  4. ema21 - 0.104021
  5. ema50 - 0.102306
  6. ema100 - 0.101729
  7. price_ema9_diff - -0.00609746
  8. ema9_ema21_diff - 0.00882907
  9. ema21_ema50_diff - 0.0167622
  10. price_ema100_diff - 0.0252646
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.539513
  14. adx - 0.287731
  15. kc_percentage - 0.528942
  16. kc_width_percentage - 0.0634105
  17. volume_ema_diff - -0.380603
  18. volume_ema1 - 857677.98047132
  19. volume_ema2 - 1384698.5818871
    20. ¸
  20. 15m
  21. ema9 - 0.104958
  22. ema21 - 0.105122
  23. ema50 - 0.104822
  24. ema100 - 0.103582
  25. price_ema9_diff - -0.00627171
  26. ema9_ema21_diff - -0.00156541
  27. ema21_ema50_diff - 0.00286167
  28. price_ema100_diff - 0.00693085
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.426526
  32. adx - 0.164441
  33. kc_percentage - 0.180365
  34. kc_width_percentage - 0.0244783
  35. volume_ema_diff - -0.833745
  36. volume_ema1 - 56545.236218237
  37. volume_ema2 - 340111.79395599
    38. ¸
  38. 5m
  39. ema9 - 0.1046
  40. ema21 - 0.104935
  41. ema50 - 0.105112
  42. ema100 - 0.105288
  43. price_ema9_diff - -0.00287202
  44. ema9_ema21_diff - -0.00319072
  45. ema21_ema50_diff - -0.00168274
  46. price_ema100_diff - -0.00939281
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.360452
  50. adx - 0.243365
  51. kc_percentage - -0.0349093
  52. kc_width_percentage - 0.011117
  53. volume_ema_diff - -0.795815
  54. volume_ema1 - 12348.813725004
  55. volume_ema2 - 60478.576126708
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 119235
  59. 5m_price_ema100_diff: -0.00236675
  60. 5m_price: 118953
  61. 5m_correlation_with_coin: 0.577534
  62. btc_indicators
  63. 15m_ema100: 118731
  64. 15m_price_ema100_diff: 0.00220369
  65. 15m_price: 118993
  66. btc_indicators
  67. 1H_ema100: 118074
  68. 1H_price_ema100_diff: 0.00744289
  69. 1H_price: 118953
    70. ¸

Long Trade on KAS

The 27 Jul 2025 at 21:55:47

With 17178.1299 KAS at 0.1043$ per unit.

Position size of 1791.6789 $

Take profit at 0.105 (0.67 %) and Stop Loss at 0.1038 (0.48 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -55 %

Symbol Start at Seach Score Trade Score Trades Count
ENA 2025-05-14 03:29:15 0.9224 -100 1
LINK 2025-07-26 07:59:00 0.91 -30 2
S 2025-04-10 04:34:24 0.9043 -35 2
LISTA 2025-04-12 00:21:12 0.9011 30 1
BGSC 2025-04-29 18:08:45 0.901 -100 1
FLM 2025-05-01 04:10:18 0.8944 -100 2
TRUMP 2025-05-14 03:31:42 0.8942 40 1
ZRC 2025-06-29 02:29:43 0.8937 -100 1
MAGIC 2025-06-16 19:05:27 0.8901 -100 1

📌 Time Data

Start at Closed at Duration
27 Jul 2025
21:55:47		 27 Jul 2025
22:20:00		 24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1043 0.1038 0.105 1.4 0.08862
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 0.1043
  • Stop Loss: 0.1038
  • Take Profit: 0.105

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1038 - 0.1043 = -0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1043 - 0.105 = -0.00069999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00069999999999999 / -0.0005 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
1791.6789 100 17178.1299 17.92
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 -0.0005

Taille de position = 8 / -0.0005 = -16000

Taille de position USD = -16000 x 0.1043 = -1668.8

Donc, tu peux acheter -16000 avec un stoploss a 0.1038

Avec un position size USD de -1668.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -16000 x -0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -16000 x -0.00069999999999999 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position -16000
  • Taille de position USD -1668.8
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.67 % 12.02 $
SL % Target SL $ Target
0.48 % 8.59 $
PNL PNL %
12.02 $ 0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1726 % 36 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1053
            [stop_loss] => 0.1038
            [rr_ratio] => 2
            [closed_at] => 2025-07-27 22:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.10555
            [stop_loss] => 0.1038
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-27 22:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1058
            [stop_loss] => 0.1038
            [rr_ratio] => 3
            [closed_at] => 2025-07-27 22:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.10605
            [stop_loss] => 0.1038
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-27 23:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1063
            [stop_loss] => 0.1038
            [rr_ratio] => 4
            [closed_at] => 2025-07-28 00:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.10655
            [stop_loss] => 0.1038
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-28 00:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1068
            [stop_loss] => 0.1038
            [rr_ratio] => 5
            [closed_at] => 2025-07-28 01:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.10705
            [stop_loss] => 0.1038
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-28 01:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.00018
            [rr_ratio] => 10
            [high] => 0.10610000
            [low] => 0.10412000
            [mfe_pct] => 1.73
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 10
            [candles_analyzed] => 24
            [start_at] => 2025-07-27T21:55:47-04:00
            [end_at] => 2025-07-27T23:55:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00295
            [max_drawdown] => 0.00018
            [rr_ratio] => 16.39
            [high] => 0.10725000
            [low] => 0.10412000
            [mfe_pct] => 2.83
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 16.39
            [candles_analyzed] => 84
            [start_at] => 2025-07-27T21:55:47-04:00
            [end_at] => 2025-07-28T04:55:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10634000
            [high_after] => 0.10725000
            [low_before] => 0.10421000
            [low_after] => 0.10412000
            [is_new_high] => 1
            [is_new_low] => 
        )

)