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Short Trade on 1000BONK

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Short Trade on 1000BONK 30 Sep 2025 at 15:24:56

Take profit at 0.01865 (1.17 %) and Stop Loss at 0.01897 (0.53 %)

Short Trade on 1000BONK

The 30 Sep 2025 at 15:24:56

With 74115.6184 1000BONK at 0.01887$ per unit.

Position size of 1398.2653 $

Take profit at 0.01865 (1.17 %) and Stop Loss at 0.01897 (0.53 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.1
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.57
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.684428

15m : 0.135453

1H : -0.098047

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 7.195964153E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.0187518
  4. ema21 : 0.018889
  5. ema50 : 0.0190287
  6. ema100 : 0.0191389
  7. price_ema9_diff : 0.00608582
  8. ema9_ema21_diff : -0.00726045
  9. ema21_ema50_diff : -0.00734071
  10. price_ema100_diff : -0.014261
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.198123
  14. ema_slope_21 : -0.146058
  15. ema_slope_50 : -0.076405
  16. ema_slope_100 : -0.0459373
  17. rsi : 0.477437
  18. adx : 0.206824
  19. kc_percentage : 0.485508
  20. kc_width_percentage : 0.0511961
  21. volume_ema_diff : -0.152059
  22. volume_ema1 : 1129576.1238132
  23. volume_ema2 : 1332140.4656214
  24. chop : 46.2279
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0186989
  28. ema21 : 0.0186728
  29. ema50 : 0.0187822
  30. ema100 : 0.0189235
  31. price_ema9_diff : 0.00893235
  32. ema9_ema21_diff : 0.00139927
  33. ema21_ema50_diff : -0.00582295
  34. price_ema100_diff : -0.0030411
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0665646
  38. ema_slope_21 : -0.000997074
  39. ema_slope_50 : -0.0352774
  40. ema_slope_100 : -0.0330825
  41. rsi : 0.548804
  42. adx : 0.23442
  43. kc_percentage : 0.894236
  44. kc_width_percentage : 0.0261786
  45. volume_ema_diff : -0.448991
  46. volume_ema1 : 200614.52129191
  47. volume_ema2 : 364086.2311591
  48. chop : 52.7538
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0187755
  52. ema21 : 0.0187092
  53. ema50 : 0.0186576
  54. ema100 : 0.018675
  55. price_ema9_diff : 0.00481569
  56. ema9_ema21_diff : 0.00354683
  57. ema21_ema50_diff : 0.00276637
  58. price_ema100_diff : 0.0102223
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0639328
  62. ema_slope_21 : 0.0534742
  63. ema_slope_50 : 0.0268808
  64. ema_slope_100 : 0.00923882
  65. rsi : 0.653999
  66. adx : 0.289474
  67. kc_percentage : 1.02951
  68. kc_width_percentage : 0.0152672
  69. volume_ema_diff : -0.464837
  70. volume_ema1 : 59833.337413456
  71. volume_ema2 : 111804.09342707
  72. chop : 52.1993
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113195
  77. 5m_price_ema100_diff: 
    0.00592956
  78. 5m_price: 
    113866
  79. 5m_correlation_with_coin: 
    0.684428
  80. btc_indicators
  81. 15m_ema100: 
    113534
  82. 15m_price_ema100_diff: 
    0.00209234
  83. 15m_price: 
    113772
  84. 15m_correlation_with_coin: 
    0.135453
  85. btc_indicators
  86. 1H_ema100: 
    111766
  87. 1H_price_ema100_diff: 
    0.0187954
  88. 1H_price: 
    113866
  89. 1H_correlation_with_coin: 
    -0.098047
    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] => 2025-09-27 05:00:00
                    [1] => 0.01913
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-27 11:00:00
                    [1] => 0.019456
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-27 14:00:00
                    [1] => 0.01906
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.019342
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.018478
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-28 19:00:00
                    [1] => 0.019643
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.018617
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-29 17:00:00
                    [1] => 0.019894
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 11:00:00
                    [1] => 0.018312
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.018877
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.058271971181865
            [ms_dist_from_last_low_pct] => 3.0253385757973
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 3.0854084753167
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  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] => 2025-09-29 17:00:00
                    [1] => 0.019894
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-29 21:45:00
                    [1] => 0.019077
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-29 23:45:00
                    [1] => 0.019518
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 01:45:00
                    [1] => 0.019075
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 02:30:00
                    [1] => 0.019332
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 06:00:00
                    [1] => 0.018767
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 07:30:00
                    [1] => 0.018939
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.018933
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 11:15:00
                    [1] => 0.018312
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:15:00
                    [1] => 0.018877
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.058271971181865
            [ms_dist_from_last_low_pct] => 3.0253385757973
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 16
            [ms_last_swing_amplitude_pct] => 3.0854084753167
            [ms_bos_up] => 0
            [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] => 2025-09-30 10:05:00
                    [1] => 0.018632
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-30 10:20:00
                    [1] => 0.018873
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-30 10:55:00
                    [1] => 0.018821
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 11:25:00
                    [1] => 0.018312
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 12:05:00
                    [1] => 0.018375
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-30 13:40:00
                    [1] => 0.018713
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.018492
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 14:25:00
                    [1] => 0.018752
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:40:00
                    [1] => 0.018627
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:20:00
                    [1] => 0.018877
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.058271971181865
            [ms_dist_from_last_low_pct] => 1.2830836957105
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 1.3421377570194
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.06%
Dist From Last Low Pct
1.28%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
1.34%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.49%
TP to Pivot Distance
0.0003
1.81%
DateTime Price Type
2025-09-30 10:05:00 0.018632 ↓ Low
2025-09-30 10:20:00 0.018873 ↑ High
2025-09-30 10:55:00 0.018821 ↑ High
2025-09-30 11:25:00 0.018312 ↓ Low
2025-09-30 12:05:00 0.018375 ↓ Low
2025-09-30 13:40:00 0.018713 ↑ High
2025-09-30 14:00:00 0.018492 ↓ Low
2025-09-30 14:25:00 0.018752 ↑ High
2025-09-30 14:40:00 0.018627 ↓ Low
2025-09-30 15:20:00 0.018877 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.06%
Dist From Last Low Pct
3.03%
Bars Since Swing High
0 bars
Bars Since Swing Low
16 bars
Last Swing Amplitude Pct
3.09%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0009
4.87%
TP to Pivot Distance
0.0003
1.81%
DateTime Price Type
2025-09-29 17:00:00 0.019894 ↑ High
2025-09-29 21:45:00 0.019077 ↓ Low
2025-09-29 23:45:00 0.019518 ↑ High
2025-09-30 01:45:00 0.019075 ↓ Low
2025-09-30 02:30:00 0.019332 ↑ High
2025-09-30 06:00:00 0.018767 ↓ Low
2025-09-30 07:30:00 0.018939 ↑ High
2025-09-30 09:45:00 0.018933 ↑ High
2025-09-30 11:15:00 0.018312 ↓ Low
2025-09-30 15:15:00 0.018877 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.06%
Dist From Last Low Pct
3.03%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
3.09%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0009
4.87%
TP to Pivot Distance
0.0003
1.81%
DateTime Price Type
2025-09-27 05:00:00 0.01913 ↓ Low
2025-09-27 11:00:00 0.019456 ↑ High
2025-09-27 14:00:00 0.01906 ↓ Low
2025-09-27 18:00:00 0.019342 ↑ High
2025-09-28 08:00:00 0.018478 ↓ Low
2025-09-28 19:00:00 0.019643 ↑ High
2025-09-29 09:00:00 0.018617 ↓ Low
2025-09-29 17:00:00 0.019894 ↑ High
2025-09-30 11:00:00 0.018312 ↓ Low
2025-09-30 15:00:00 0.018877 ↑ High

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:24:56		 30 Sep 2025
15:30:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01887 0.01897 0.01865 2.2 0.0063
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 0.01887
  • Stop Loss: 0.01897
  • Take Profit: 0.01865

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01897 - 0.01887 = 9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01887 - 0.01865 = 0.00022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00022 / 9.9999999999999E-5 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
1398.2653 100 74115.6184 13.98
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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.01887 = 1509.6

Donc, tu peux acheter 80000 avec un stoploss a 0.01897

Avec un position size USD de 1509.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00022 = 17.6

Si Take Profit atteint, tu gagneras 17.6$

Résumé

  • Taille de position 80000
  • Taille de position USD 1509.6
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
1.17 % 16.31 $
SL % Target SL $ Target
0.53 % 7.41 $
PNL PNL %
-7.41 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8214 % 155.01 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01865
            [entry_price] => 0.01887
            [stop_loss] => 0.01898
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01865
            [entry_price] => 0.01887
            [stop_loss] => 0.01899
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01865
            [entry_price] => 0.01887
            [stop_loss] => 0.019
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01865
            [entry_price] => 0.01887
            [stop_loss] => 0.01902
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.5E-5
            [max_drawdown] => 0.000502
            [rr_ratio] => 0.07
            [high] => 0.01937200
            [low] => 0.01883500
            [mfe_pct] => 0.19
            [mae_pct] => 2.66
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:24:56-04:00
            [end_at] => 2025-09-30T17:24:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.5E-5
            [max_drawdown] => 0.000502
            [rr_ratio] => 0.07
            [high] => 0.01937200
            [low] => 0.01883500
            [mfe_pct] => 0.19
            [mae_pct] => 2.66
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:24:56-04:00
            [end_at] => 2025-09-30T22:24:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01887700
            [high_after] => 0.01937200
            [low_before] => 0.01831200
            [low_after] => 0.01883500
            [is_new_high] => 
            [is_new_low] => 
        )

)