Trade

sell - AAVE

Status
win
2025-07-22 07:49:44
40 minutes
PNL
0.80
Entry: 312.71
Last: 310.20000000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.2028
Prediction 1 Accuracy
Weak Trade
0.52
Prediction 2 Accuracy
1 0.42
ML Trade Score: 120
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 1.116067642
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 312.271
  4. ema21 - 316.533
  5. ema50 - 320.842
  6. ema100 - 323.075
  7. price_ema9_diff - 0.00140465
  8. ema9_ema21_diff - -0.0134638
  9. ema21_ema50_diff - -0.0134307
  10. price_ema100_diff - -0.0320848
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.403741
  14. kc_percentage - 0.322544
  15. kc_width_percentage - 0.0636645
  16. volume_ema_diff - -0.228099
  17. volume_ema1 - 5039021.1196255
  18. volume_ema2 - 6528069.2634905
  19. ¸
  20. 15m
  21. ema9 - 310.63
  22. ema21 - 310.569
  23. ema50 - 313.626
  24. ema100 - 318.251
  25. price_ema9_diff - 0.00669423
  26. ema9_ema21_diff - 0.000197261
  27. ema21_ema50_diff - -0.00974651
  28. price_ema100_diff - -0.0174114
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.551514
  32. kc_percentage - 0.781829
  33. kc_width_percentage - 0.0250145
  34. volume_ema_diff - -0.577455
  35. volume_ema1 - 685459.28408615
  36. volume_ema2 - 1622219.5671356
  37. ¸
  38. 5m
  39. ema9 - 310.952
  40. ema21 - 310.287
  41. ema50 - 309.958
  42. ema100 - 310.95
  43. price_ema9_diff - 0.00565157
  44. ema9_ema21_diff - 0.0021438
  45. ema21_ema50_diff - 0.00106064
  46. price_ema100_diff - 0.00565697
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.672817
  50. kc_percentage - 1.03659
  51. kc_width_percentage - 0.0141737
  52. volume_ema_diff - -0.410094
  53. volume_ema1 - 253627.53659812
  54. volume_ema2 - 429946.34911048
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118051
  59. 5m_price_ema100_diff: 0.0094614
  60. 5m_price: 119168
  61. 5m_correlation_with_coin: 0.808055
  62. btc_indicators
  63. 15m_ema100: 117918
  64. 15m_price_ema100_diff: 0.0106051
  65. 15m_price: 119168
  66. btc_indicators
  67. 1H_ema100: 118048
  68. 1H_price_ema100_diff: 0.00948941
  69. 1H_price: 119168
  70. ¸

Short Trade on AAVE

The 22 Jul 2025 at 07:49:44

With 4.7787 AAVE at 312.71$ per unit.

Position size of 1494.3419 $

Take profit at 310.1988 (0.8 %) and Stop Loss at 314.3841 (0.54 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 20.28 %

Symbol Start at Seach Score Trade Score Trades Count
ETH 2025-07-22 07:48:49 0.9728 30 1
ETH 2025-04-06 21:30:06 0.9486 100 1
SEI 2025-07-04 05:50:58 0.9572 -100 1
ALCH 2025-03-29 22:48:48 0.9559 -5 2
BANK 2025-04-23 19:33:58 0.9566 100 1
BANANAS31 2025-06-26 23:09:10 0.9538 -32.5 4
BGSC 2025-07-11 09:37:47 0.9524 70 1
1000SATS 2025-03-27 15:49:34 0.9517 -10 2
ARC 2025-05-29 18:21:34 0.9489 30 1

📌 Time Data

Start at Closed at Duration
22 Jul 2025
07:49:44
22 Jul 2025
08:30:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
312.71 314.3841 310.1988 1.5 292.58
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 312.71
  • Stop Loss: 314.3841
  • Take Profit: 310.1988

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 314.3841 - 312.71 = 1.6741

  • Récompense (distance jusqu'au take profit):

    E - TP = 312.71 - 310.1988 = 2.5112

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 2.5112 / 1.6741 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1494.3419 100 4.7787 14.94
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 1.6741

Taille de position = 8 / 1.6741 = 4.78

Taille de position USD = 4.78 x 312.71 = 1494.75

Donc, tu peux acheter 4.78 avec un stoploss a 314.3841

Avec un position size USD de 1494.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4.78 x 1.6741 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4.78 x 2.5112 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 4.78
  • Taille de position USD 1494.75
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.8 % 12 $
SL % Target SL $ Target
0.54 % 8 $
PNL PNL %
11.95 $ 0.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0831 % 15.28 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 309.3
            [stop_loss] => 314.4
            [rr_ratio] => 2
            [closed_at] => 2025-07-22 09:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 308.45
            [stop_loss] => 314.4
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-22 09:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 307.6
            [stop_loss] => 314.4
            [rr_ratio] => 3
            [closed_at] => 2025-07-22 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 306.75
            [stop_loss] => 314.4
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-22 09:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 305.9
            [stop_loss] => 314.4
            [rr_ratio] => 4
            [closed_at] => 2025-07-22 09:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 305.05
            [stop_loss] => 314.4
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-22 09:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 304.2
            [stop_loss] => 314.4
            [rr_ratio] => 5
            [closed_at] => 2025-07-22 10:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 303.35
            [stop_loss] => 314.4
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-22 10:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 302.5
            [stop_loss] => 314.4
            [rr_ratio] => 6
            [closed_at] => 2025-07-22 10:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 5.78
            [max_drawdown] => 0.25
            [rr_ratio] => 23.12
            [high] => 312.96000000
            [low] => 306.93000000
            [mfe_pct] => 1.85
            [mae_pct] => 0.08
            [mfe_mae_ratio] => 23.12
            [candles_analyzed] => 24
            [start_at] => 2025-07-22T07:49:44-04:00
            [end_at] => 2025-07-22T09:49:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 10.22
            [max_drawdown] => 0.25
            [rr_ratio] => 40.88
            [high] => 312.96000000
            [low] => 302.49000000
            [mfe_pct] => 3.27
            [mae_pct] => 0.08
            [mfe_mae_ratio] => 40.88
            [candles_analyzed] => 72
            [start_at] => 2025-07-22T07:49:44-04:00
            [end_at] => 2025-07-22T13:49:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 312.92000000
            [high_after] => 312.96000000
            [low_before] => 304.57000000
            [low_after] => 302.49000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)