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Long Trade on AVAX

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Long Trade on AVAX 29 Sep 2025 at 01:24:49

Take profit at 29.5276 (0.81 %) and Stop Loss at 29.1727 (0.4 %)

Long Trade on AVAX

The 29 Sep 2025 at 01:24:49

With 67.6273 AVAX at 29.291$ per unit.

Position size of 1980.8708 $

Take profit at 29.5276 (0.81 %) and Stop Loss at 29.1727 (0.4 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 110
ML Pullback Score: 8.55
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
0 0.63
Prediction 3 Probability
0 0.51
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : bear_low
BTC Correlation Score

5m : 0.579778

15m : 0.133061

1H : 0.029653

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0788636325
Details
  1. score: 2.22
  2. 1H
  3. ema9 : 29.4908
  4. ema21 : 29.2254
  5. ema50 : 29.0207
  6. ema100 : 29.3795
  7. price_ema9_diff : -0.00677544
  8. ema9_ema21_diff : 0.00908046
  9. ema21_ema50_diff : 0.00705291
  10. price_ema100_diff : -0.00301263
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.231654
  14. ema_slope_21 : 0.18771
  15. ema_slope_50 : 0.0859535
  16. ema_slope_100 : 0.00853603
  17. rsi : 0.534353
  18. adx : 0.333045
  19. kc_percentage : 0.535282
  20. kc_width_percentage : 0.0453513
  21. volume_ema_diff : 0.0278101
  22. volume_ema1 : 5585645.8872242
  23. volume_ema2 : 5434511.253444
  24. chop : 43.209
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 29.5255
  28. ema21 : 29.5907
  29. ema50 : 29.4142
  30. ema100 : 29.1062
  31. price_ema9_diff : -0.00794519
  32. ema9_ema21_diff : -0.00220048
  33. ema21_ema50_diff : 0.00599816
  34. price_ema100_diff : 0.00634667
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0558091
  38. ema_slope_21 : -0.0147967
  39. ema_slope_50 : 0.0306486
  40. ema_slope_100 : 0.038294
  41. rsi : 0.380364
  42. adx : 0.312288
  43. kc_percentage : 0.0361629
  44. kc_width_percentage : 0.0221174
  45. volume_ema_diff : 0.120397
  46. volume_ema1 : 1758514.5289071
  47. volume_ema2 : 1569544.6421869
  48. chop : 58.7474
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 29.4106
  52. ema21 : 29.5215
  53. ema50 : 29.6062
  54. ema100 : 29.5855
  55. price_ema9_diff : -0.00406861
  56. ema9_ema21_diff : -0.00375657
  57. ema21_ema50_diff : -0.00285901
  58. price_ema100_diff : -0.00995544
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0833867
  62. ema_slope_21 : -0.0510246
  63. ema_slope_50 : -0.0253045
  64. ema_slope_100 : -0.00893972
  65. rsi : 0.250103
  66. adx : 0.292354
  67. kc_percentage : -0.221559
  68. kc_width_percentage : 0.0106192
  69. volume_ema_diff : 0.203518
  70. volume_ema1 : 674817.89695039
  71. volume_ema2 : 560704.20405057
  72. chop : 28.6322
  73. regime : bear_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111623
  77. 5m_price_ema100_diff: 
    -0.000884811
  78. 5m_price: 
    111525
  79. 5m_correlation_with_coin: 
    0.579778
  80. btc_indicators
  81. 15m_ema100: 
    110701
  82. 15m_price_ema100_diff: 
    0.00775454
  83. 15m_price: 
    111560
  84. 15m_correlation_with_coin: 
    0.133061
  85. btc_indicators
  86. 1H_ema100: 
    110429
  87. 1H_price_ema100_diff: 
    0.00992437
  88. 1H_price: 
    111525
  89. 1H_correlation_with_coin: 
    0.029653
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-24 22:00:00
                    [1] => 32.618
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-26 04:00:00
                    [1] => 28.577
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-26 10:00:00
                    [1] => 27.057
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-26 13:00:00
                    [1] => 29.58
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-27 08:00:00
                    [1] => 28.225
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-27 10:00:00
                    [1] => 28.843
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 28.973
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 27.917
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-28 20:00:00
                    [1] => 30.219
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-29 01:00:00
                    [1] => 29.227
                    [2] => L
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -3.084152354479
            [ms_dist_from_last_low_pct] => 0.20528962945221
            [ms_bars_since_swing_high] => 5
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 3.39412187361
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-28 02:15:00
                    [1] => 28.075
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-28 05:15:00
                    [1] => 28.155
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-28 05:30:00
                    [1] => 28.774
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-28 08:30:00
                    [1] => 27.917
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 12:30:00
                    [1] => 29.118
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-28 16:30:00
                    [1] => 29.304
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-28 17:45:00
                    [1] => 28.946
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-28 20:15:00
                    [1] => 30.219
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-28 22:15:00
                    [1] => 29.441
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-29 01:15:00
                    [1] => 29.227
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -3.084152354479
            [ms_dist_from_last_low_pct] => 0.20528962945221
            [ms_bars_since_swing_high] => 20
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 0.73219967837958
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-28 17:55:00
                    [1] => 28.946
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-28 19:30:00
                    [1] => 30.177
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-28 19:40:00
                    [1] => 29.801
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-28 20:15:00
                    [1] => 29.851
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 20:25:00
                    [1] => 30.219
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-28 22:15:00
                    [1] => 29.441
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-28 22:55:00
                    [1] => 29.785
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-29 00:05:00
                    [1] => 29.779
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-29 00:30:00
                    [1] => 29.481
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-29 01:15:00
                    [1] => 29.227
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.6521709929816
            [ms_dist_from_last_low_pct] => 0.20528962945221
            [ms_bars_since_swing_high] => 15
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 0.86905943134773
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.65%
Dist From Last Low Pct
0.21%
Bars Since Swing High
15 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
0.87%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.2267
0.78%
TP to Pivot Distance
0.6914
2.34%
DateTime Price Type
2025-09-28 17:55:00 28.946 ↓ Low
2025-09-28 19:30:00 30.177 ↑ High
2025-09-28 19:40:00 29.801 ↓ Low
2025-09-28 20:15:00 29.851 ↓ Low
2025-09-28 20:25:00 30.219 ↑ High
2025-09-28 22:15:00 29.441 ↓ Low
2025-09-28 22:55:00 29.785 ↑ High
2025-09-29 00:05:00 29.779 ↑ High
2025-09-29 00:30:00 29.481 ↓ Low
2025-09-29 01:15:00 29.227 ↓ Low
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-3.08%
Dist From Last Low Pct
0.21%
Bars Since Swing High
20 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
0.73%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
1.2557
4.30%
TP to Pivot Distance
0.6914
2.34%
DateTime Price Type
2025-09-28 02:15:00 28.075 ↓ Low
2025-09-28 05:15:00 28.155 ↓ Low
2025-09-28 05:30:00 28.774 ↑ High
2025-09-28 08:30:00 27.917 ↓ Low
2025-09-28 12:30:00 29.118 ↑ High
2025-09-28 16:30:00 29.304 ↑ High
2025-09-28 17:45:00 28.946 ↓ Low
2025-09-28 20:15:00 30.219 ↑ High
2025-09-28 22:15:00 29.441 ↓ Low
2025-09-29 01:15:00 29.227 ↓ Low
1H - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-3.08%
Dist From Last Low Pct
0.21%
Bars Since Swing High
5 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
3.39%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
2.1157
7.25%
TP to Pivot Distance
3.0904
10.47%
DateTime Price Type
2025-09-24 22:00:00 32.618 ↑ High
2025-09-26 04:00:00 28.577 ↑ High
2025-09-26 10:00:00 27.057 ↓ Low
2025-09-26 13:00:00 29.58 ↑ High
2025-09-27 08:00:00 28.225 ↓ Low
2025-09-27 10:00:00 28.843 ↑ High
2025-09-27 18:00:00 28.973 ↑ High
2025-09-28 08:00:00 27.917 ↓ Low
2025-09-28 20:00:00 30.219 ↑ High
2025-09-29 01:00:00 29.227 ↓ Low

📌 Time Data

Start at Closed at Duration
29 Sep 2025
01:24:49		 29 Sep 2025
02:35:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
29.291 29.1727 29.5276 2 9.337
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 29.291
  • Stop Loss: 29.1727
  • Take Profit: 29.5276

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 29.1727 - 29.291 = -0.1183

  • Récompense (distance jusqu'au take profit):

    E - TP = 29.291 - 29.5276 = -0.2366

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.2366 / -0.1183 = 2

📌 Position Size

Amount Margin Quantity Leverage
1980.8708 100 67.6273 19.81
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 -0.1183

Taille de position = 8 / -0.1183 = -67.62

Taille de position USD = -67.62 x 29.291 = -1980.66

Donc, tu peux acheter -67.62 avec un stoploss a 29.1727

Avec un position size USD de -1980.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -67.62 x -0.1183 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -67.62 x -0.2366 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -67.62
  • Taille de position USD -1980.66
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.81 % 16 $
SL % Target SL $ Target
0.4 % 8 $
PNL PNL %
16 $ 0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0205 % 5.08 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 29.5276
            [stop_loss] => 29.1727
            [rr_ratio] => 2
            [closed_at] => 2025-09-29 02:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 29.58675
            [stop_loss] => 29.1727
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-29 02:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 29.6459
            [stop_loss] => 29.1727
            [rr_ratio] => 3
            [closed_at] => 2025-09-29 03:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 29.70505
            [stop_loss] => 29.1727
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-29 03:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 29.7642
            [stop_loss] => 29.1727
            [rr_ratio] => 4
            [closed_at] => 2025-09-29 03:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 29.82335
            [stop_loss] => 29.1727
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-29 04:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 29.8825
            [stop_loss] => 29.1727
            [rr_ratio] => 5
            [closed_at] => 2025-09-29 04:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 29.94165
            [stop_loss] => 29.1727
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-29 05:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 30.0008
            [stop_loss] => 29.1727
            [rr_ratio] => 6
            [closed_at] => 2025-09-29 07:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 30.05995
            [stop_loss] => 29.1727
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-29 07:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 30.1191
            [stop_loss] => 29.1727
            [rr_ratio] => 7
            [closed_at] => 2025-09-29 07:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.342
            [max_drawdown] => 0.0060000000000002
            [rr_ratio] => 57
            [high] => 29.63300000
            [low] => 29.28500000
            [mfe_pct] => 1.17
            [mae_pct] => 0.02
            [mfe_mae_ratio] => 57
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T01:24:49-04:00
            [end_at] => 2025-09-29T03:24:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.706
            [max_drawdown] => 0.166
            [rr_ratio] => 4.25
            [high] => 29.99700000
            [low] => 29.12500000
            [mfe_pct] => 2.41
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 4.25
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T01:24:49-04:00
            [end_at] => 2025-09-29T08:24:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 29.83600000
            [high_after] => 29.99700000
            [low_before] => 29.22700000
            [low_after] => 29.12500000
            [is_new_high] => 1
            [is_new_low] => 
        )

)