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Trade

buy - DYDX

Status
win
2025-08-06 23:22:43
37 minutes
PNL
1.27
Entry: 0.5917
Last: 0.59920000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.6615
Prediction 1 Probability
Strong Trade
0.59
Prediction 2 Probability
0 0.48
Prediction 3 Probability
1 0.68
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: 0.19
  4. atr: 0.003318376708
Details
  1. score: 2.19
  2. 1H
  3. ema9 - 0.590274
  4. ema21 - 0.578062
  5. ema50 - 0.566607
  6. ema100 - 0.558923
  7. price_ema9_diff - 0.00241486
  8. ema9_ema21_diff - 0.0211261
  9. ema21_ema50_diff - 0.0202168
  10. price_ema100_diff - 0.0586417
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.632613
  14. adx - 0.403958
  15. kc_percentage - 0.82093
  16. kc_width_percentage - 0.0678854
  17. volume_ema_diff - 0.321952
  18. volume_ema1 - 276290.36161168
  19. volume_ema2 - 209001.79541463
    20. ¸
  20. 15m
  21. ema9 - 0.600515
  22. ema21 - 0.595876
  23. ema50 - 0.584424
  24. ema100 - 0.572748
  25. price_ema9_diff - -0.0146798
  26. ema9_ema21_diff - 0.00778535
  27. ema21_ema50_diff - 0.0195951
  28. price_ema100_diff - 0.0330885
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.552711
  32. adx - 0.537482
  33. kc_percentage - 0.281266
  34. kc_width_percentage - 0.0357126
  35. volume_ema_diff - 0.0599373
  36. volume_ema1 - 79144.281184907
  37. volume_ema2 - 74668.831612549
    38. ¸
  38. 5m
  39. ema9 - 0.600381
  40. ema21 - 0.601426
  41. ema50 - 0.598018
  42. ema100 - 0.591592
  43. price_ema9_diff - -0.0144594
  44. ema9_ema21_diff - -0.00173727
  45. ema21_ema50_diff - 0.00569717
  46. price_ema100_diff - 0.000180956
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.337468
  50. adx - 0.253233
  51. kc_percentage - -0.187591
  52. kc_width_percentage - 0.0239912
  53. volume_ema_diff - 0.489821
  54. volume_ema1 - 41878.22362508
  55. volume_ema2 - 28109.55643059
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 114912
  59. 5m_price_ema100_diff: -0.00424478
  60. 5m_price: 114424
  61. 5m_correlation_with_coin: 0.366925
  62. btc_indicators
  63. 15m_ema100: 114571
  64. 15m_price_ema100_diff: -0.00131393
  65. 15m_price: 114420
  66. btc_indicators
  67. 1H_ema100: 114156
  68. 1H_price_ema100_diff: 0.00235011
  69. 1H_price: 114424
    70. ¸

Long Trade on DYDX

The 06 Aug 2025 at 23:22:43

With 1607.2115 DYDX at 0.5917$ per unit.

Position size of 950.9871 $

Take profit at 0.5992 (1.27 %) and Stop Loss at 0.5867 (0.85 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -46 %

Symbol Start at Seach Score Trade Score Trades Count
ANIME 2025-06-03 17:39:31 0.9801 30 1
CRO 2025-07-18 03:05:15 0.9744 -100 2
EPIC 2025-08-16 01:23:06 0.9753 -100 2
RENDER 2025-07-20 13:06:15 0.9728 -100 1
BLUR 2025-07-20 16:21:03 0.9721 -100 1
IO 2025-05-22 07:09:51 0.972 30 1
FET 2025-05-26 04:44:18 0.9717 30 1
SHIB 2025-03-26 08:34:31 0.971 -100 1
LUMIA 2025-05-06 22:26:04 0.97 50 1
XRP 2025-06-02 23:07:29 0.9676 -100 1

📌 Time Data

Start at Closed at Duration
06 Aug 2025
23:22:43		 07 Aug 2025
00:00:00		 37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5917 0.5867 0.5992 1.5 0.7007
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 0.5917
  • Stop Loss: 0.5867
  • Take Profit: 0.5992

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5867 - 0.5917 = -0.005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5917 - 0.5992 = -0.0075

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0075 / -0.005 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
950.9871 100 1607.2115 9.51
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 -0.005

Taille de position = 8 / -0.005 = -1600

Taille de position USD = -1600 x 0.5917 = -946.72

Donc, tu peux acheter -1600 avec un stoploss a 0.5867

Avec un position size USD de -946.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1600 x -0.005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1600 x -0.0075 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -1600
  • Taille de position USD -946.72
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.27 % 12.05 $
SL % Target SL $ Target
0.85 % 8.04 $
PNL PNL %
12.05 $ 1.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6017
            [stop_loss] => 0.5867
            [rr_ratio] => 2
            [closed_at] => 2025-08-07 00:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.6042
            [stop_loss] => 0.5867
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-07 00:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6067
            [stop_loss] => 0.5867
            [rr_ratio] => 3
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.6092
            [stop_loss] => 0.5867
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.6117
            [stop_loss] => 0.5867
            [rr_ratio] => 4
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.6142
            [stop_loss] => 0.5867
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.6167
            [stop_loss] => 0.5867
            [rr_ratio] => 5
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.6192
            [stop_loss] => 0.5867
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-07 00:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0275
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.61920000
            [low] => 0.59180000
            [mfe_pct] => 4.65
            [mae_pct] => -0.02
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-06T23:22:43-04:00
            [end_at] => 2025-08-07T01:22:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0275
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.61920000
            [low] => 0.59180000
            [mfe_pct] => 4.65
            [mae_pct] => -0.02
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-06T23:22:43-04:00
            [end_at] => 2025-08-07T06:22:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.60840000
            [high_after] => 0.61920000
            [low_before] => 0.58450000
            [low_after] => 0.59180000
            [is_new_high] => 1
            [is_new_low] => 
        )

)