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Trade

buy - AAVE

Status
win
2025-05-27 15:37:02
22 minutes
PNL
0.62
Entry: 274.51
Last: 276.20000000

Results

Status:
win
Trade Type:
buy
Prediction Score: -6.4478
Prediction 1 Probability
Strong Trade
0.57
Prediction 2 Probability
0 0.36
Prediction 3 Probability
n/a
ML Trade Score: 40
ML Pullback Score: 1.28

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.7524941183
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 276.82
  4. ema21 - 274.486
  5. ema50 - 270.55
  6. ema100 - 266.828
  7. price_ema9_diff - -0.00834608
  8. ema9_ema21_diff - 0.00850121
  9. ema21_ema50_diff - 0.0145497
  10. price_ema100_diff - 0.0287884
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.52621
  14. kc_percentage - 0.487464
  15. kc_width_percentage - 0.0500521
    16. ¸
  16. 15m
  17. ema9 - 276.213
  18. ema21 - 277.163
  19. ema50 - 276.378
  20. ema100 - 273.858
  21. price_ema9_diff - -0.00616595
  22. ema9_ema21_diff - -0.00342757
  23. ema21_ema50_diff - 0.00283805
  24. price_ema100_diff - 0.00237934
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.347532
  28. kc_percentage - 0.0332101
  29. kc_width_percentage - 0.0204486
    30. ¸
  30. 5m
  31. ema9 - 275.164
  32. ema21 - 276.057
  33. ema50 - 277.119
  34. ema100 - 277.788
  35. price_ema9_diff - -0.00238019
  36. ema9_ema21_diff - -0.00323265
  37. ema21_ema50_diff - -0.00383378
  38. price_ema100_diff - -0.0118008
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.326
  42. kc_percentage - -0.0164039
  43. kc_width_percentage - 0.0104884
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 109873
  47. 5m_price_ema100_diff: -3.28619E-5
  48. 5m_price: 109870
  49. 5m_correlation_with_coin: 0.423386
  50. btc_indicators
  51. 15m_ema100: 109546
  52. 15m_price_ema100_diff: 0.00295733
  53. 15m_price: 109870
  54. btc_indicators
  55. 1H_ema100: 108994
  56. 1H_price_ema100_diff: 0.00803004
  57. 1H_price: 109870
    58. ¸

Long Trade on AAVE

The 27 May 2025 at 15:37:02

With 7.0875 AAVE at 274.51$ per unit.

Position size of 1945.601 $

Take profit at 276.2031 (0.62 %) and Stop Loss at 273.3813 (0.41 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -33.75 %

Symbol Start at Seach Score Trade Score Trades Count
TRX 2025-04-12 14:17:09 0.9597 -100 3
VOXEL 2025-04-20 10:16:43 0.9585 -100 2
AAVE 2025-08-23 04:24:04 0.9523 30 2
LDO 2025-08-10 03:33:37 0.9516 -100 1
ICP 2025-07-02 23:57:28 0.9515 30 1
GRIFFAIN 2025-07-03 00:02:44 0.9504 40 1
CTSI 2025-08-16 19:22:41 0.9502 -100 1
BERA 2025-07-03 00:04:03 0.9497 30 1

📌 Time Data

Start at Closed at Duration
27 May 2025
15:37:02		 27 May 2025
16:00:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
274.51 273.3813 276.2031 1.5 362.1
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 274.51
  • Stop Loss: 273.3813
  • Take Profit: 276.2031

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 273.3813 - 274.51 = -1.1287

  • Récompense (distance jusqu'au take profit):

    E - TP = 274.51 - 276.2031 = -1.6931

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.6931 / -1.1287 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1945.601 100 7.0875 19.46
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 -1.1287

Taille de position = 8 / -1.1287 = -7.09

Taille de position USD = -7.09 x 274.51 = -1946.28

Donc, tu peux acheter -7.09 avec un stoploss a 273.3813

Avec un position size USD de -1946.28$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7.09 x -1.1287 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7.09 x -1.6931 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -7.09
  • Taille de position USD -1946.28
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.62 % 12 $
SL % Target SL $ Target
0.41 % 8 $
PNL PNL %
12.05 $ 0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0036429872495413 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 276.7
            [stop_loss] => 273.4
            [rr_ratio] => 2
            [closed_at] => 2025-05-27 16:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 277.25
            [stop_loss] => 273.4
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 277.8
            [stop_loss] => 273.4
            [rr_ratio] => 3
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 278.35
            [stop_loss] => 273.4
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 278.9
            [stop_loss] => 273.4
            [rr_ratio] => 4
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 279.45
            [stop_loss] => 273.4
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 280
            [stop_loss] => 273.4
            [rr_ratio] => 5
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 280.55
            [stop_loss] => 273.4
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 281.1
            [stop_loss] => 273.4
            [rr_ratio] => 6
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 281.65
            [stop_loss] => 273.4
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 282.2
            [stop_loss] => 273.4
            [rr_ratio] => 7
            [closed_at] => 2025-05-27 16:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.55
            [max_drawdown] => 2.04
            [rr_ratio] => 1.25
            [high] => 277.06000000
            [low] => 272.47000000
            [mfe_pct] => 0.93
            [mae_pct] => 0.74
            [mfe_mae_ratio] => 1.25
            [candles_analyzed] => 24
            [start_at] => 2025-05-27T15:37:02-04:00
            [end_at] => 2025-05-27T17:37:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.55
            [max_drawdown] => 5.51
            [rr_ratio] => 0.46
            [high] => 277.06000000
            [low] => 269.00000000
            [mfe_pct] => 0.93
            [mae_pct] => 2.01
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 72
            [start_at] => 2025-05-27T15:37:02-04:00
            [end_at] => 2025-05-27T21:37:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 280.38000000
            [high_after] => 277.06000000
            [low_before] => 274.09000000
            [low_after] => 269.00000000
            [is_new_high] => 
            [is_new_low] => 
        )

)