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Long Trade on ADA

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Long Trade on ADA 05 Sep 2025 at 10:32:02

Take profit at 0.837 (1.45 %) and Stop Loss at 0.819 (0.73 %)

Long Trade on ADA

The 05 Sep 2025 at 10:32:02

With 1333.7183 ADA at 0.825$ per unit.

Position size of 1100.3176 $

Take profit at 0.837 (1.45 %) and Stop Loss at 0.819 (0.73 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -70
ML Pullback Score: 1.52
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.56
Prediction 2 Probability
1 0.58
Prediction 3 Probability
1 0.94
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : bear_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : bear_medium
BTC Correlation Score

5m : 0.747253

15m : 0.054489

1H : -0.030718

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.003998845527
Details
  1. score: 2.17
  2. 1H
  3. ema9 : 0.830225
  4. ema21 : 0.824679
  5. ema50 : 0.822733
  6. ema100 : 0.822159
  7. price_ema9_diff : -0.00629389
  8. ema9_ema21_diff : 0.00672513
  9. ema21_ema50_diff : 0.00236495
  10. price_ema100_diff : 0.0034554
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.186408
  14. ema_slope_21 : 0.104521
  15. ema_slope_50 : 0.0348013
  16. ema_slope_100 : 0.0156456
  17. rsi : 0.510337
  18. adx : 0.218329
  19. kc_percentage : 0.50207
  20. kc_width_percentage : 0.0414641
  21. volume_ema_diff : 1.05592
  22. volume_ema1 : 13951925.257041
  23. volume_ema2 : 6786209.100519
  24. regime : range_high
    25. ¸
  25. 15m
  26. ema9 : 0.834576
  27. ema21 : 0.833175
  28. ema50 : 0.827254
  29. ema100 : 0.821936
  30. price_ema9_diff : -0.0114741
  31. ema9_ema21_diff : 0.00168129
  32. ema21_ema50_diff : 0.00715664
  33. price_ema100_diff : 0.00372718
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0613176
  37. ema_slope_21 : 0.0732254
  38. ema_slope_50 : 0.0610069
  39. ema_slope_100 : 0.041988
  40. rsi : 0.4013
  41. adx : 0.341294
  42. kc_percentage : 0.119746
  43. kc_width_percentage : 0.0267588
  44. volume_ema_diff : 0.719998
  45. volume_ema1 : 4477588.1339892
  46. volume_ema2 : 2603251.7582684
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.832909
  50. ema21 : 0.836426
  51. ema50 : 0.835015
  52. ema100 : 0.830717
  53. price_ema9_diff : -0.00949666
  54. ema9_ema21_diff : -0.00420391
  55. ema21_ema50_diff : 0.00168891
  56. price_ema100_diff : -0.00688309
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : -0.0955122
  60. ema_slope_21 : -0.0311677
  61. ema_slope_50 : 0.00755189
  62. ema_slope_100 : 0.0163208
  63. rsi : 0.243941
  64. adx : 0.410932
  65. kc_percentage : -0.169397
  66. kc_width_percentage : 0.0205367
  67. volume_ema_diff : 0.467427
  68. volume_ema1 : 2094418.2504307
  69. volume_ema2 : 1427272.12839
  70. regime : bear_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    112291
  74. 5m_price_ema100_diff: 
    -0.0116752
  75. 5m_price: 
    110980
  76. 5m_correlation_with_coin: 
    0.747253
  77. btc_indicators
  78. 15m_ema100: 
    111482
  79. 15m_price_ema100_diff: 
    -0.00450052
  80. 15m_price: 
    110980
  81. 15m_correlation_with_coin: 
    0.054489
  82. btc_indicators
  83. 1H_ema100: 
    110749
  84. 1H_price_ema100_diff: 
    0.00209195
  85. 1H_price: 
    110980
  86. 1H_correlation_with_coin: 
    -0.030718
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
05 Sep 2025
10:32:02		 05 Sep 2025
10:35:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.825 0.819 0.837 2 0.2757
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 0.825
  • Stop Loss: 0.819
  • Take Profit: 0.837

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.819 - 0.825 = -0.006

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.825 - 0.837 = -0.012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.012 / -0.006 = 2

📌 Position Size

Amount Margin Quantity Leverage
1100.3176 100 1333.7183 11.00
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 -0.006

Taille de position = 8 / -0.006 = -1333.33

Taille de position USD = -1333.33 x 0.825 = -1100

Donc, tu peux acheter -1333.33 avec un stoploss a 0.819

Avec un position size USD de -1100$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1333.33 x -0.006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1333.33 x -0.012 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -1333.33
  • Taille de position USD -1100
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.45 % 16 $
SL % Target SL $ Target
0.73 % 8 $
PNL PNL %
-8 $ -0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8485 % 116.66 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.837
            [entry_price] => 0.825
            [stop_loss] => 0.8184
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-05 10:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.837
            [entry_price] => 0.825
            [stop_loss] => 0.8178
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-05 16:00:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.837
            [entry_price] => 0.825
            [stop_loss] => 0.8172
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-05 16:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.837
            [entry_price] => 0.825
            [stop_loss] => 0.816
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-05 16:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.003
            [max_drawdown] => 0.007
            [rr_ratio] => 0.43
            [high] => 0.82800000
            [low] => 0.81800000
            [mfe_pct] => 0.36
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 24
            [start_at] => 2025-09-05T10:32:02-04:00
            [end_at] => 2025-09-05T12:32:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0137
            [max_drawdown] => 0.007
            [rr_ratio] => 1.96
            [high] => 0.83870000
            [low] => 0.81800000
            [mfe_pct] => 1.66
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 1.96
            [candles_analyzed] => 84
            [start_at] => 2025-09-05T10:32:02-04:00
            [end_at] => 2025-09-05T17:32:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.84940000
            [high_after] => 0.83780000
            [low_before] => 0.82330000
            [low_after] => 0.81800000
            [is_new_high] => 
            [is_new_low] => 
        )

)