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Trade

buy - BERA

Status
win
2025-08-16 21:18:32
36 minutes
PNL
1.73
Entry: 2.301
Last: 2.34090000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.6556
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.4
Prediction 3 Probability
1 0.58
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.01772051823
Details
  1. score: 2
  2. 1H
  3. ema9 - 2.31709
  4. ema21 - 2.27777
  5. ema50 - 2.21986
  6. ema100 - 2.17133
  7. price_ema9_diff - -0.00694494
  8. ema9_ema21_diff - 0.0172608
  9. ema21_ema50_diff - 0.026086
  10. price_ema100_diff - 0.059719
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.557948
  14. adx - 0.365224
  15. kc_percentage - 0.591772
  16. kc_width_percentage - 0.0956097
  17. volume_ema_diff - 0.315051
  18. volume_ema1 - 720831.64100946
  19. volume_ema2 - 548139.47838685
    20. ¸
  20. 15m
  21. ema9 - 2.3319
  22. ema21 - 2.33431
  23. ema50 - 2.30855
  24. ema100 - 2.26832
  25. price_ema9_diff - -0.0132518
  26. ema9_ema21_diff - -0.00103445
  27. ema21_ema50_diff - 0.0111594
  28. price_ema100_diff - 0.0144048
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.411447
  32. adx - 0.316147
  33. kc_percentage - 0.212658
  34. kc_width_percentage - 0.0512235
  35. volume_ema_diff - 0.120535
  36. volume_ema1 - 180131.28937841
  37. volume_ema2 - 160754.63809162
    38. ¸
  38. 5m
  39. ema9 - 2.31921
  40. ema21 - 2.33693
  41. ema50 - 2.34318
  42. ema100 - 2.33607
  43. price_ema9_diff - -0.00785389
  44. ema9_ema21_diff - -0.00758439
  45. ema21_ema50_diff - -0.00266415
  46. price_ema100_diff - -0.0150129
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.331452
  50. adx - 0.222651
  51. kc_percentage - -0.00283079
  52. kc_width_percentage - 0.0302333
  53. volume_ema_diff - -0.321231
  54. volume_ema1 - 52163.722930329
  55. volume_ema2 - 76850.488598551
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 117450
  59. 5m_price_ema100_diff: -0.00233666
  60. 5m_price: 117175
  61. 5m_correlation_with_coin: 0.186136
  62. btc_indicators
  63. 15m_ema100: 117516
  64. 15m_price_ema100_diff: -0.00290493
  65. 15m_price: 117175
  66. btc_indicators
  67. 1H_ema100: 118627
  68. 1H_price_ema100_diff: -0.012241
  69. 1H_price: 117175
    70. ¸

Long Trade on BERA

The 16 Aug 2025 at 21:18:32

With 300.9694 BERA at 2.301$ per unit.

Position size of 692.5305 $

Take profit at 2.3409 (1.73 %) and Stop Loss at 2.2744 (1.16 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -34.44 %

Symbol Start at Seach Score Trade Score Trades Count
SHIB 2025-04-24 22:57:14 0.9347 100 2
POPCAT 2025-04-24 22:59:52 0.9328 0 2
LTC 2025-05-01 19:07:07 0.9255 -100 1
TAO 2025-04-19 07:01:18 0.9235 -100 3
TRX 2025-06-19 06:17:27 0.9246 40 2
RENDER 2025-04-17 15:01:38 0.9235 -100 1
AVAAI 2025-05-08 14:32:42 0.9234 -100 1
S 2025-07-31 09:30:36 0.9224 -100 1
TURBO 2025-04-23 12:31:32 0.9217 50 1

📌 Time Data

Start at Closed at Duration
16 Aug 2025
21:18:32		 16 Aug 2025
21:55:00		 36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.301 2.2744 2.3409 1.5 2.287
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 2.301
  • Stop Loss: 2.2744
  • Take Profit: 2.3409

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2744 - 2.301 = -0.0266

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.301 - 2.3409 = -0.0399

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0399 / -0.0266 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
692.5305 100 300.9694 6.93
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 -0.0266

Taille de position = 8 / -0.0266 = -300.75

Taille de position USD = -300.75 x 2.301 = -692.03

Donc, tu peux acheter -300.75 avec un stoploss a 2.2744

Avec un position size USD de -692.03$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -300.75 x -0.0266 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -300.75 x -0.0399 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -300.75
  • Taille de position USD -692.03
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.73 % 12.01 $
SL % Target SL $ Target
1.16 % 8.01 $
PNL PNL %
12.01 $ 1.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0869 % 7.52 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.3542
            [stop_loss] => 2.2744
            [rr_ratio] => 2
            [closed_at] => 2025-08-16 21:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.3675
            [stop_loss] => 2.2744
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-16 22:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.3808
            [stop_loss] => 2.2744
            [rr_ratio] => 3
            [closed_at] => 2025-08-16 22:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.3941
            [stop_loss] => 2.2744
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-16 23:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.4074
            [stop_loss] => 2.2744
            [rr_ratio] => 4
            [closed_at] => 2025-08-17 02:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.4207
            [stop_loss] => 2.2744
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-17 02:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.434
            [stop_loss] => 2.2744
            [rr_ratio] => 5
            [closed_at] => 2025-08-17 02:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.4473
            [stop_loss] => 2.2744
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-17 02:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.096
            [max_drawdown] => 0.0020000000000002
            [rr_ratio] => 48
            [high] => 2.39700000
            [low] => 2.29900000
            [mfe_pct] => 4.17
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 48
            [candles_analyzed] => 24
            [start_at] => 2025-08-16T21:18:32-04:00
            [end_at] => 2025-08-16T23:18:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.156
            [max_drawdown] => 0.0020000000000002
            [rr_ratio] => 78
            [high] => 2.45700000
            [low] => 2.29900000
            [mfe_pct] => 6.78
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 78
            [candles_analyzed] => 84
            [start_at] => 2025-08-16T21:18:32-04:00
            [end_at] => 2025-08-17T04:18:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.43700000
            [high_after] => 2.45700000
            [low_before] => 2.29700000
            [low_after] => 2.29900000
            [is_new_high] => 1
            [is_new_low] => 
        )

)