Trade

buy - DYDX

Status
win
2025-08-06 23:32:09
32 minutes
PNL
1.16
Entry: 0.5926
Last: 0.59950000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.54
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: 0.08
  4. atr: 0.003056388851
Details
  1. score: 2.08
  2. 1H
  3. ema9 - 0.590454
  4. ema21 - 0.578144
  5. ema50 - 0.566642
  6. ema100 - 0.558941
  7. price_ema9_diff - 0.00363353
  8. ema9_ema21_diff - 0.0212929
  9. ema21_ema50_diff - 0.0202977
  10. price_ema100_diff - 0.0602181
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.640804
  14. adx - 0.403252
  15. kc_percentage - 0.839848
  16. kc_width_percentage - 0.0680523
  17. volume_ema_diff - 0.361642
  18. volume_ema1 - 286167.97541168
  19. volume_ema2 - 210163.86762639
  20. ¸
  21. 15m
  22. ema9 - 0.598164
  23. ema21 - 0.595181
  24. ema50 - 0.584533
  25. ema100 - 0.572818
  26. price_ema9_diff - -0.00930239
  27. ema9_ema21_diff - 0.00501138
  28. ema21_ema50_diff - 0.0182172
  29. price_ema100_diff - 0.0345337
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.496765
  33. adx - 0.49226
  34. kc_percentage - 0.361695
  35. kc_width_percentage - 0.0360412
  36. volume_ema_diff - -0.0644732
  37. volume_ema1 - 69627.009034382
  38. volume_ema2 - 74425.45826886
  39. ¸
  40. 5m
  41. ema9 - 0.597621
  42. ema21 - 0.599922
  43. ema50 - 0.597637
  44. ema100 - 0.5918
  45. price_ema9_diff - -0.00840255
  46. ema9_ema21_diff - -0.00383475
  47. ema21_ema50_diff - 0.00382232
  48. price_ema100_diff - 0.0013515
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.351522
  52. adx - 0.259586
  53. kc_percentage - -0.0796016
  54. kc_width_percentage - 0.0212015
  55. volume_ema_diff - -0.0790712
  56. volume_ema1 - 24897.808581517
  57. volume_ema2 - 27035.543458052
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 114900
  62. 5m_price_ema100_diff: -0.00365434
  63. 5m_price: 114481
  64. 5m_correlation_with_coin: 0.368499
  65. btc_indicators
  66. 15m_ema100: 114563
  67. 15m_price_ema100_diff: -0.000718474
  68. 15m_price: 114481
  69. btc_indicators
  70. 1H_ema100: 114157
  71. 1H_price_ema100_diff: 0.0028378
  72. 1H_price: 114481
  73. ¸

Long Trade on DYDX

The 06 Aug 2025 at 23:32:09

With 1744.9787 DYDX at 0.5926$ per unit.

Position size of 1034.0744 $

Take profit at 0.5995 (1.16 %) and Stop Loss at 0.588 (0.78 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -56.67 %

Symbol Start at Seach Score Trade Score Trades Count
ANIME 2025-06-03 17:39:31 0.9811 30 1
CRO 2025-07-18 03:05:15 0.9773 -100 2
IO 2025-05-22 07:13:49 0.9738 30 2
RENDER 2025-07-20 13:06:15 0.9733 -100 1
EPIC 2025-08-16 01:23:06 0.9717 -100 2
BLUR 2025-07-20 16:21:03 0.9722 -100 1
FET 2025-05-26 04:44:18 0.9715 30 1
SHIB 2025-03-26 08:34:31 0.9711 -100 1
HIFI 2025-08-12 22:11:25 0.97 -100 1

📌 Time Data

Start at Closed at Duration
06 Aug 2025
23:32:09
07 Aug 2025
00:05:00
32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5926 0.588 0.5995 1.5 0.6872
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 0.5926
  • Stop Loss: 0.588
  • Take Profit: 0.5995

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.588 - 0.5926 = -0.0046

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5926 - 0.5995 = -0.0069

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0069 / -0.0046 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1034.0744 100 1744.9787 10.34
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 -0.0046

Taille de position = 8 / -0.0046 = -1739.13

Taille de position USD = -1739.13 x 0.5926 = -1030.61

Donc, tu peux acheter -1739.13 avec un stoploss a 0.588

Avec un position size USD de -1030.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1739.13 x -0.0046 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1739.13 x -0.0069 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -1739.13
  • Taille de position USD -1030.61
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.16 % 12.04 $
SL % Target SL $ Target
0.78 % 8.03 $
PNL PNL %
12.04 $ 1.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6018
            [stop_loss] => 0.588
            [rr_ratio] => 2
            [closed_at] => 2025-08-07 00:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.6041
            [stop_loss] => 0.588
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-07 00:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6064
            [stop_loss] => 0.588
            [rr_ratio] => 3
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.6087
            [stop_loss] => 0.588
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.611
            [stop_loss] => 0.588
            [rr_ratio] => 4
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.6133
            [stop_loss] => 0.588
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.6156
            [stop_loss] => 0.588
            [rr_ratio] => 5
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.6179
            [stop_loss] => 0.588
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-07 00:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0266
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.61920000
            [low] => 0.59300000
            [mfe_pct] => 4.49
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-06T23:32:09-04:00
            [end_at] => 2025-08-07T01:32:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0266
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.61920000
            [low] => 0.59300000
            [mfe_pct] => 4.49
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-06T23:32:09-04:00
            [end_at] => 2025-08-07T06:32:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.60840000
            [high_after] => 0.61920000
            [low_before] => 0.58870000
            [low_after] => 0.59300000
            [is_new_high] => 1
            [is_new_low] => 
        )

)