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Trade

sell - AERO

Status
win
2025-08-29 08:38:04
56 minutes
PNL
1.12
Entry: 1.1663
Last: 1.15320000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.5818
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
1 0.5
Prediction 3 Probability
0 0.77
ML Trade Score: 100
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: 0.00581967531
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 1.16787
  4. ema21 - 1.19284
  5. ema50 - 1.23312
  6. ema100 - 1.26791
  7. price_ema9_diff - -0.00134655
  8. ema9_ema21_diff - -0.0209335
  9. ema21_ema50_diff - -0.0326686
  10. price_ema100_diff - -0.0801406
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.351739
  14. adx - 0.465834
  15. kc_percentage - 0.161932
  16. kc_width_percentage - 0.0625544
  17. volume_ema_diff - 0.0525474
  18. volume_ema1 - 815189.50033014
  19. volume_ema2 - 774491.94155523
    20. ¸
  20. 15m
  21. ema9 - 1.1541
  22. ema21 - 1.15835
  23. ema50 - 1.17665
  24. ema100 - 1.20154
  25. price_ema9_diff - 0.0105657
  26. ema9_ema21_diff - -0.00366673
  27. ema21_ema50_diff - -0.015558
  28. price_ema100_diff - -0.0293328
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.572409
  32. adx - 0.362159
  33. kc_percentage - 0.728805
  34. kc_width_percentage - 0.032058
  35. volume_ema_diff - -0.041317
  36. volume_ema1 - 260179.04116718
  37. volume_ema2 - 271392.17783327
    38. ¸
  38. 5m
  39. ema9 - 1.15597
  40. ema21 - 1.15218
  41. ema50 - 1.15489
  42. ema100 - 1.16555
  43. price_ema9_diff - 0.00893558
  44. ema9_ema21_diff - 0.00328833
  45. ema21_ema50_diff - -0.00234495
  46. price_ema100_diff - 0.000640832
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.652741
  50. adx - 0.204588
  51. kc_percentage - 1.03686
  52. kc_width_percentage - 0.0223715
  53. volume_ema_diff - 1.54037
  54. volume_ema1 - 188357.7013536
  55. volume_ema2 - 74145.670505202
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 110366
  59. 5m_price_ema100_diff: 0.00208102
  60. 5m_price: 110596
  61. 5m_correlation_with_coin: 0.763993
  62. btc_indicators
  63. 15m_ema100: 111340
  64. 15m_price_ema100_diff: -0.00553544
  65. 15m_price: 110724
  66. btc_indicators
  67. 1H_ema100: 111502
  68. 1H_price_ema100_diff: -0.0081237
  69. 1H_price: 110596
    70. ¸

Short Trade on AERO

The 29 Aug 2025 at 08:38:04

With 916.4314 AERO at 1.1663$ per unit.

Position size of 1068.834 $

Take profit at 1.1532 (1.12 %) and Stop Loss at 1.175 (0.75 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: 20.71 %

Symbol Start at Seach Score Trade Score Trades Count
ALGO 2025-08-29 08:33:09 0.9865 30 1
ETH 2025-08-29 08:40:08 0.9806 30 1
ENS 2025-08-29 08:33:36 0.9793 30 1
VIRTUAL 2025-08-29 08:37:56 0.9785 30 1
GRIFFAIN 2025-08-29 08:38:53 0.9782 30 1
CRV 2025-08-29 08:32:34 0.9775 30 1
FIDA 2025-08-29 08:37:30 0.9762 30 1
1000000MOG 2025-08-29 08:37:16 0.976 30 1
TURBO 2025-08-29 08:35:27 0.9758 30 1
USELESS 2025-08-29 08:47:07 0.9755 30 1
ETC 2025-08-29 08:30:17 0.9744 -100 1
ACH 2025-08-29 08:34:26 0.9718 30 1
SUI 2025-08-29 08:54:43 0.9711 30 1
RENDER 2025-08-29 08:37:03 0.9705 30 1

📌 Time Data

Start at Closed at Duration
29 Aug 2025
08:38:04		 29 Aug 2025
09:35:00		 56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1663 1.175 1.1532 1.51 1.1241
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 1.1663
  • Stop Loss: 1.175
  • Take Profit: 1.1532

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.175 - 1.1663 = 0.0087000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1663 - 1.1532 = 0.0131

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0131 / 0.0087000000000002 = 1.5057

📌 Position Size

Amount Margin Quantity Leverage
1068.834 100 916.4314 10.69
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 0.0087000000000002

Taille de position = 8 / 0.0087000000000002 = 919.54

Taille de position USD = 919.54 x 1.1663 = 1072.46

Donc, tu peux acheter 919.54 avec un stoploss a 1.175

Avec un position size USD de 1072.46$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 919.54 x 0.0087000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 919.54 x 0.0131 = 12.05

Si Take Profit atteint, tu gagneras 12.05$

Résumé

  • Taille de position 919.54
  • Taille de position USD 1072.46
  • Perte potentielle 8
  • Gain potentiel 12.05
  • Risk-Reward Ratio 1.5057

📌 Peformances

TP % Target TP $ Target
1.12 % 12.01 $
SL % Target SL $ Target
0.75 % 7.97 $
PNL PNL %
12.01 $ 1.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3515 % 47.12 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.1489
            [stop_loss] => 1.175
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 09:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.14455
            [stop_loss] => 1.175
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.1402
            [stop_loss] => 1.175
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 09:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.13585
            [stop_loss] => 1.175
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.1315
            [stop_loss] => 1.175
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.12715
            [stop_loss] => 1.175
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 13:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.1228
            [stop_loss] => 1.175
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 14:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0368
            [max_drawdown] => 0.0041000000000002
            [rr_ratio] => 8.98
            [high] => 1.17040000
            [low] => 1.12950000
            [mfe_pct] => 3.16
            [mae_pct] => 0.35
            [mfe_mae_ratio] => 8.98
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T08:38:04-04:00
            [end_at] => 2025-08-29T10:38:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0489
            [max_drawdown] => 0.0041000000000002
            [rr_ratio] => 11.93
            [high] => 1.17040000
            [low] => 1.11740000
            [mfe_pct] => 4.19
            [mae_pct] => 0.35
            [mfe_mae_ratio] => 11.93
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T08:38:04-04:00
            [end_at] => 2025-08-29T15:38:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.18100000
            [high_after] => 1.17040000
            [low_before] => 1.14090000
            [low_after] => 1.12120000
            [is_new_high] => 
            [is_new_low] => 1
        )

)