Trade

buy - CUDIS

Status
win
2025-08-17 01:53:19
1 hour
PNL
1.59
Entry: 0.09615
Last: 0.09768000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.0722
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
1 0.54
Prediction 3 Probability
1 0.8
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: 0.24
  4. atr: 0.0006789805176
Details
  1. score: 2.24
  2. 1H
  3. ema9 - 0.0958373
  4. ema21 - 0.0935632
  5. ema50 - 0.0911851
  6. ema100 - 0.0882273
  7. price_ema9_diff - 0.00326276
  8. ema9_ema21_diff - 0.0243045
  9. ema21_ema50_diff - 0.02608
  10. price_ema100_diff - 0.0897975
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.57886
  14. adx - 0.300522
  15. kc_percentage - 0.708397
  16. kc_width_percentage - 0.123042
  17. volume_ema_diff - 0.432877
  18. volume_ema1 - 433369.85727989
  19. volume_ema2 - 302447.25291891
  20. ¸
  21. 15m
  22. ema9 - 0.0981396
  23. ema21 - 0.0973511
  24. ema50 - 0.0949221
  25. ema100 - 0.0933655
  26. price_ema9_diff - -0.0202738
  27. ema9_ema21_diff - 0.00809932
  28. ema21_ema50_diff - 0.0255896
  29. price_ema100_diff - 0.0298233
  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 - 0.266279
  35. kc_width_percentage - 0.0578898
  36. volume_ema_diff - -0.415108
  37. volume_ema1 - 63606.647329243
  38. volume_ema2 - 108749.50845881
  39. ¸
  40. 5m
  41. ema9 - 0.0976857
  42. ema21 - 0.0981295
  43. ema50 - 0.0976753
  44. ema100 - 0.0959509
  45. price_ema9_diff - -0.0157212
  46. ema9_ema21_diff - -0.00452235
  47. ema21_ema50_diff - 0.0046493
  48. price_ema100_diff - 0.00207485
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.327218
  52. adx - 0.165414
  53. kc_percentage - -0.240192
  54. kc_width_percentage - 0.0276112
  55. volume_ema_diff - 0.0222674
  56. volume_ema1 - 35009.795081577
  57. volume_ema2 - 34247.198877963
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 117622
  62. 5m_price_ema100_diff: 0.00306138
  63. 5m_price: 117982
  64. 5m_correlation_with_coin: 0.198074
  65. btc_indicators
  66. 15m_ema100: 117586
  67. 15m_price_ema100_diff: 0.00376856
  68. 15m_price: 118030
  69. btc_indicators
  70. 1H_ema100: 118498
  71. 1H_price_ema100_diff: -0.00435323
  72. 1H_price: 117982
  73. ¸

Long Trade on CUDIS

The 17 Aug 2025 at 01:53:19

With 7854.9136 CUDIS at 0.09615$ per unit.

Position size of 755.2499 $

Take profit at 0.09768 (1.59 %) and Stop Loss at 0.09513 (1.06 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -91.88 %

Symbol Start at Seach Score Trade Score Trades Count
DOGE 2025-04-09 19:14:56 0.9705 -100 1
JASMY 2025-07-20 17:21:58 0.9682 -35 2
GOAT 2025-05-23 00:23:25 0.9662 -100 2
KAS 2025-04-09 19:27:57 0.9674 -100 2
AI16Z 2025-04-09 19:21:52 0.965 -100 2
HIPPO 2025-06-23 21:34:55 0.9646 -100 1
ENA 2025-04-09 19:14:10 0.9644 -100 2
ACT 2025-07-16 18:40:59 0.9644 -100 1

📌 Time Data

Start at Closed at Duration
17 Aug 2025
01:53:19
17 Aug 2025
03:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09615 0.09513 0.09768 1.5 0.08876
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 0.09615
  • Stop Loss: 0.09513
  • Take Profit: 0.09768

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09513 - 0.09615 = -0.00102

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09615 - 0.09768 = -0.00153

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00153 / -0.00102 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
755.2499 100 7854.9136 7.55
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 -0.00102

Taille de position = 8 / -0.00102 = -7843.14

Taille de position USD = -7843.14 x 0.09615 = -754.12

Donc, tu peux acheter -7843.14 avec un stoploss a 0.09513

Avec un position size USD de -754.12$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7843.14 x -0.00102 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7843.14 x -0.00153 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -7843.14
  • Taille de position USD -754.12
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.59 % 12.02 $
SL % Target SL $ Target
1.06 % 8.01 $
PNL PNL %
12.02 $ 1.59
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3848 % 36.27 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.09819
            [stop_loss] => 0.09513
            [rr_ratio] => 2
            [closed_at] => 2025-08-17 03:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0987
            [stop_loss] => 0.09513
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-17 03:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.09921
            [stop_loss] => 0.09513
            [rr_ratio] => 3
            [closed_at] => 2025-08-17 03:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.09972
            [stop_loss] => 0.09513
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-17 03:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.10023
            [stop_loss] => 0.09513
            [rr_ratio] => 4
            [closed_at] => 2025-08-17 03:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.10074
            [stop_loss] => 0.09513
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-17 03:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.10125
            [stop_loss] => 0.09513
            [rr_ratio] => 5
            [closed_at] => 2025-08-17 06:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.10176
            [stop_loss] => 0.09513
            [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] => 0.00501
            [max_drawdown] => 0.00037
            [rr_ratio] => 13.54
            [high] => 0.10116000
            [low] => 0.09578000
            [mfe_pct] => 5.21
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 13.54
            [candles_analyzed] => 24
            [start_at] => 2025-08-17T01:53:19-04:00
            [end_at] => 2025-08-17T03:53:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0057
            [max_drawdown] => 0.00037
            [rr_ratio] => 15.41
            [high] => 0.10185000
            [low] => 0.09578000
            [mfe_pct] => 5.93
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 15.41
            [candles_analyzed] => 84
            [start_at] => 2025-08-17T01:53:19-04:00
            [end_at] => 2025-08-17T08:53:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10144000
            [high_after] => 0.10185000
            [low_before] => 0.09574000
            [low_after] => 0.09578000
            [is_new_high] => 1
            [is_new_low] => 
        )

)