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Short Trade on 1000BONK

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Short Trade on 1000BONK 02 Nov 2025 at 16:56:39

Take profit at 0.01377 (0.58 %) and Stop Loss at 0.0139 (0.36 %)

Short Trade on 1000BONK

The 02 Nov 2025 at 16:56:39

With 181576.4398 1000BONK at 0.01385$ per unit.

Position size of 2515.7416 $

Take profit at 0.01377 (0.58 %) and Stop Loss at 0.0139 (0.36 %)

That's a 1.6 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 3.06
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.698939

15m : 0.145467

1H : -0.041013

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 2.937238631E-5
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.0138432
  4. ema21 : 0.0139614
  5. ema50 : 0.0140263
  6. ema100 : 0.0141257
  7. price_ema9_diff : 0.000848905
  8. ema9_ema21_diff : -0.0084636
  9. ema21_ema50_diff : -0.00463182
  10. price_ema100_diff : -0.0191655
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.220929
  14. ema_slope_21 : -0.139278
  15. ema_slope_50 : -0.0561978
  16. ema_slope_100 : -0.0390855
  17. rsi : 0.435423
  18. adx : 0.255471
  19. kc_percentage : 0.345597
  20. kc_width_percentage : 0.0467781
  21. volume_ema_diff : -0.0741232
  22. volume_ema1 : 322276.39550274
  23. volume_ema2 : 348077.00368622
  24. chop : 42.7418
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0137702
  28. ema21 : 0.0137746
  29. ema50 : 0.0138754
  30. ema100 : 0.0139963
  31. price_ema9_diff : 0.00615812
  32. ema9_ema21_diff : -0.000319513
  33. ema21_ema50_diff : -0.00726991
  34. price_ema100_diff : -0.0100967
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00888903
  38. ema_slope_21 : -0.0361106
  39. ema_slope_50 : -0.0510373
  40. ema_slope_100 : -0.0422692
  41. rsi : 0.553169
  42. adx : 0.263962
  43. kc_percentage : 0.82726
  44. kc_width_percentage : 0.0182926
  45. volume_ema_diff : -0.380025
  46. volume_ema1 : 51538.40505583
  47. volume_ema2 : 83129.895941738
  48. chop : 57.8169
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0138191
  52. ema21 : 0.0137819
  53. ema50 : 0.0137667
  54. ema100 : 0.0138
  55. price_ema9_diff : 0.00259675
  56. ema9_ema21_diff : 0.00269522
  57. ema21_ema50_diff : 0.00110546
  58. price_ema100_diff : 0.00398366
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0625028
  62. ema_slope_21 : 0.0399275
  63. ema_slope_50 : 0.0146807
  64. ema_slope_100 : 0.000590932
  65. rsi : 0.682725
  66. adx : 0.252424
  67. kc_percentage : 1.12822
  68. kc_width_percentage : 0.00816669
  69. volume_ema_diff : -0.435406
  70. volume_ema1 : 13727.088819858
  71. volume_ema2 : 24313.240513274
  72. chop : 34.7551
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110120
  77. 5m_price_ema100_diff: 
    -0.00142067
  78. 5m_price: 
    109964
  79. 5m_correlation_with_coin: 
    0.698939
  80. btc_indicators
  81. 15m_ema100: 
    110260
  82. 15m_price_ema100_diff: 
    -0.0022216
  83. 15m_price: 
    110015
  84. 15m_correlation_with_coin: 
    0.145467
  85. btc_indicators
  86. 1H_ema100: 
    110236
  87. 1H_price_ema100_diff: 
    -0.00246911
  88. 1H_price: 
    109964
  89. 1H_correlation_with_coin: 
    -0.041013
    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] => 2025-10-30 15:00:00
                    [1] => 0.012763
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 16:00:00
                    [1] => 0.014395
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 22:00:00
                    [1] => 0.013795
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-01 05:00:00
                    [1] => 0.01435
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-01 10:00:00
                    [1] => 0.014065
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-01 16:00:00
                    [1] => 0.014373
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-01 23:00:00
                    [1] => 0.01407
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-02 00:00:00
                    [1] => 0.014388
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-02 11:00:00
                    [1] => 0.013567
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-02 16:00:00
                    [1] => 0.013894
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.46063048798042
            [ms_dist_from_last_low_pct] => 1.9385273089113
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 2.4102601901673
            [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] => 2025-11-01 23:45:00
                    [1] => 0.01407
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-02 00:45:00
                    [1] => 0.014388
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-02 02:45:00
                    [1] => 0.014341
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-02 05:30:00
                    [1] => 0.014004
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-02 07:15:00
                    [1] => 0.014258
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-02 11:15:00
                    [1] => 0.013567
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-02 12:00:00
                    [1] => 0.013837
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-02 13:45:00
                    [1] => 0.013826
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-02 14:30:00
                    [1] => 0.013631
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-02 16:45:00
                    [1] => 0.013894
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.46063048798042
            [ms_dist_from_last_low_pct] => 1.4599075636417
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 1.9294255740591
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [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] => 2025-11-02 11:15:00
                    [1] => 0.013567
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-02 12:05:00
                    [1] => 0.013837
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-02 12:50:00
                    [1] => 0.01371
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-02 13:05:00
                    [1] => 0.013817
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-02 13:45:00
                    [1] => 0.013826
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-02 14:30:00
                    [1] => 0.013631
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-02 15:00:00
                    [1] => 0.013735
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-02 15:10:00
                    [1] => 0.013654
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-02 16:00:00
                    [1] => 0.013804
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-02 16:50:00
                    [1] => 0.013894
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.46063048798042
            [ms_dist_from_last_low_pct] => 1.2889995605683
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 21
            [ms_last_swing_amplitude_pct] => 0.65198493190379
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.46%
Dist From Last Low Pct
1.29%
Bars Since Swing High
1 bars
Bars Since Swing Low
21 bars
Last Swing Amplitude Pct
0.65%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0
DateTime Price Type
2025-11-02 11:15:00 0.013567 ↓ Low
2025-11-02 12:05:00 0.013837 ↑ High
2025-11-02 12:50:00 0.01371 ↓ Low
2025-11-02 13:05:00 0.013817 ↑ High
2025-11-02 13:45:00 0.013826 ↑ High
2025-11-02 14:30:00 0.013631 ↓ Low
2025-11-02 15:00:00 0.013735 ↑ High
2025-11-02 15:10:00 0.013654 ↓ Low
2025-11-02 16:00:00 0.013804 ↑ High
2025-11-02 16:50:00 0.013894 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.46%
Dist From Last Low Pct
1.46%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
1.93%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0
DateTime Price Type
2025-11-01 23:45:00 0.01407 ↓ Low
2025-11-02 00:45:00 0.014388 ↑ High
2025-11-02 02:45:00 0.014341 ↑ High
2025-11-02 05:30:00 0.014004 ↓ Low
2025-11-02 07:15:00 0.014258 ↑ High
2025-11-02 11:15:00 0.013567 ↓ Low
2025-11-02 12:00:00 0.013837 ↑ High
2025-11-02 13:45:00 0.013826 ↑ High
2025-11-02 14:30:00 0.013631 ↓ Low
2025-11-02 16:45:00 0.013894 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.46%
Dist From Last Low Pct
1.94%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
2.41%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1
DateTime Price Type
2025-10-30 15:00:00 0.012763 ↓ Low
2025-10-31 16:00:00 0.014395 ↑ High
2025-10-31 22:00:00 0.013795 ↓ Low
2025-11-01 05:00:00 0.01435 ↑ High
2025-11-01 10:00:00 0.014065 ↓ Low
2025-11-01 16:00:00 0.014373 ↑ High
2025-11-01 23:00:00 0.01407 ↓ Low
2025-11-02 00:00:00 0.014388 ↑ High
2025-11-02 11:00:00 0.013567 ↓ Low
2025-11-02 16:00:00 0.013894 ↑ High

📌 Time Data

Start at Closed at Duration
02 Nov 2025
16:56:39		 02 Nov 2025
17:20:00		 23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01385 0.0139 0.01377 1.6 0.005894
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 0.01385
  • Stop Loss: 0.0139
  • Take Profit: 0.01377

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0139 - 0.01385 = 5.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01385 - 0.01377 = 8.0E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 8.0E-5 / 5.0E-5 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
2515.7416 100 181576.4398 25.16
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 5.0E-5

Taille de position = 8 / 5.0E-5 = 160000

Taille de position USD = 160000 x 0.01385 = 2216

Donc, tu peux acheter 160000 avec un stoploss a 0.0139

Avec un position size USD de 2216$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 160000 x 5.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 160000 x 8.0E-5 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position 160000
  • Taille de position USD 2216
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.58 % 14.53 $
SL % Target SL $ Target
0.36 % 9.08 $
PNL PNL %
-9.08 $ -0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4838 % 134.02 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01377
            [entry_price] => 0.01385
            [stop_loss] => 0.013905
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-02 17:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01377
            [entry_price] => 0.01385
            [stop_loss] => 0.01391
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-02 17:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01377
            [entry_price] => 0.01385
            [stop_loss] => 0.013915
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-02 17:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01377
            [entry_price] => 0.01385
            [stop_loss] => 0.013925
            [rr_ratio] => 1.07
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-02 17:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 8.5999999999999E-5
            [max_drawdown] => 0.000528
            [rr_ratio] => 0.16
            [high] => 0.01437800
            [low] => 0.01376400
            [mfe_pct] => 0.62
            [mae_pct] => 3.81
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 24
            [start_at] => 2025-11-02T16:56:39-05:00
            [end_at] => 2025-11-02T18:56:39-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000825
            [max_drawdown] => 0.000528
            [rr_ratio] => 1.56
            [high] => 0.01437800
            [low] => 0.01302500
            [mfe_pct] => 5.96
            [mae_pct] => 3.81
            [mfe_mae_ratio] => 1.56
            [candles_analyzed] => 84
            [start_at] => 2025-11-02T16:56:39-05:00
            [end_at] => 2025-11-02T23:56:39-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01389400
            [high_after] => 0.01437800
            [low_before] => 0.01363100
            [low_after] => 0.01311500
            [is_new_high] => 
            [is_new_low] => 1
        )

)