Trade

buy - CUDIS

Status
win
2025-08-17 01:57:19
12 minutes
PNL
1.59
Entry: 0.09589
Last: 0.09741000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.0929
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
1 0.57
Prediction 3 Probability
1 0.85
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.26
  4. atr: 0.0006741552915
Details
  1. score: 2.26
  2. 1H
  3. ema9 - 0.0957853
  4. ema21 - 0.0935396
  5. ema50 - 0.0911749
  6. ema100 - 0.0882222
  7. price_ema9_diff - 0.00109301
  8. ema9_ema21_diff - 0.0240075
  9. ema21_ema50_diff - 0.0259355
  10. price_ema100_diff - 0.086914
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.572061
  14. adx - 0.299029
  15. kc_percentage - 0.68687
  16. kc_width_percentage - 0.12446
  17. volume_ema_diff - 0.462701
  18. volume_ema1 - 444264.82033422
  19. volume_ema2 - 303729.01327824
  20. ¸
  21. 15m
  22. ema9 - 0.0981396
  23. ema21 - 0.0973511
  24. ema50 - 0.0949221
  25. ema100 - 0.0933655
  26. price_ema9_diff - -0.0229231
  27. ema9_ema21_diff - 0.00809932
  28. ema21_ema50_diff - 0.0255896
  29. price_ema100_diff - 0.0270385
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.496677
  33. adx - 0.345592
  34. kc_percentage - 0.219568
  35. kc_width_percentage - 0.0580468
  36. volume_ema_diff - -0.415108
  37. volume_ema1 - 63606.647329243
  38. volume_ema2 - 108749.50845881
  39. ¸
  40. 5m
  41. ema9 - 0.0972961
  42. ema21 - 0.0979102
  43. ema50 - 0.0976002
  44. ema100 - 0.0959609
  45. price_ema9_diff - -0.0144527
  46. ema9_ema21_diff - -0.00627143
  47. ema21_ema50_diff - 0.00317618
  48. price_ema100_diff - -0.00073892
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.313894
  52. adx - 0.178977
  53. kc_percentage - -0.258968
  54. kc_width_percentage - 0.027437
  55. volume_ema_diff - -0.083577
  56. volume_ema1 - 31261.293462718
  57. volume_ema2 - 34112.299521763
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 117618
  62. 5m_price_ema100_diff: 0.00279447
  63. 5m_price: 117947
  64. 5m_correlation_with_coin: 0.208042
  65. btc_indicators
  66. 15m_ema100: 117586
  67. 15m_price_ema100_diff: 0.00376856
  68. 15m_price: 118030
  69. btc_indicators
  70. 1H_ema100: 118497
  71. 1H_price_ema100_diff: -0.00464443
  72. 1H_price: 117947
  73. ¸

Long Trade on CUDIS

The 17 Aug 2025 at 01:57:19

With 7911.1347 CUDIS at 0.09589$ per unit.

Position size of 758.5987 $

Take profit at 0.09741 (1.59 %) and Stop Loss at 0.09488 (1.05 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -91.88 %

Symbol Start at Seach Score Trade Score Trades Count
JASMY 2025-07-20 17:21:58 0.9714 -35 2
DOGE 2025-04-09 19:14:56 0.9702 -100 1
KAS 2025-04-09 19:27:57 0.9685 -100 2
ACT 2025-07-16 18:40:59 0.967 -100 1
GOAT 2025-05-23 00:23:25 0.9661 -100 2
BIO 2025-08-24 10:06:02 0.9659 -100 1
AI16Z 2025-04-09 19:28:55 0.9652 -100 2
ENA 2025-04-09 19:14:10 0.9649 -100 2

📌 Time Data

Start at Closed at Duration
17 Aug 2025
01:57:19
17 Aug 2025
02:10:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09589 0.09488 0.09741 1.5 0.08464
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 0.09589
  • Stop Loss: 0.09488
  • Take Profit: 0.09741

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09488 - 0.09589 = -0.00101

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09589 - 0.09741 = -0.00152

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00152 / -0.00101 = 1.505

📌 Position Size

Amount Margin Quantity Leverage
758.5987 100 7911.1347 7.59
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 -0.00101

Taille de position = 8 / -0.00101 = -7920.79

Taille de position USD = -7920.79 x 0.09589 = -759.52

Donc, tu peux acheter -7920.79 avec un stoploss a 0.09488

Avec un position size USD de -759.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7920.79 x -0.00101 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7920.79 x -0.00152 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

  • Taille de position -7920.79
  • Taille de position USD -759.52
  • Perte potentielle 8
  • Gain potentiel 12.04
  • Risk-Reward Ratio 1.505

📌 Peformances

TP % Target TP $ Target
1.59 % 12.02 $
SL % Target SL $ Target
1.05 % 7.99 $
PNL PNL %
12.02 $ 1.59
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.09791
            [stop_loss] => 0.09488
            [rr_ratio] => 2
            [closed_at] => 2025-08-17 03:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.098415
            [stop_loss] => 0.09488
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-17 03:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.09892
            [stop_loss] => 0.09488
            [rr_ratio] => 3
            [closed_at] => 2025-08-17 03:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.099425
            [stop_loss] => 0.09488
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-17 03:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.09993
            [stop_loss] => 0.09488
            [rr_ratio] => 4
            [closed_at] => 2025-08-17 03:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.100435
            [stop_loss] => 0.09488
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-17 03:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.10094
            [stop_loss] => 0.09488
            [rr_ratio] => 5
            [closed_at] => 2025-08-17 03:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.101445
            [stop_loss] => 0.09488
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-17 06:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00527
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.10116000
            [low] => 0.09598000
            [mfe_pct] => 5.5
            [mae_pct] => -0.09
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-17T01:57:19-04:00
            [end_at] => 2025-08-17T03:57:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00596
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.10185000
            [low] => 0.09598000
            [mfe_pct] => 6.22
            [mae_pct] => -0.09
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-17T01:57:19-04:00
            [end_at] => 2025-08-17T08:57:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10144000
            [high_after] => 0.10185000
            [low_before] => 0.09574000
            [low_after] => 0.09598000
            [is_new_high] => 1
            [is_new_low] => 
        )

)