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Short Trade on SIGN

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Short Trade on SIGN 29 Sep 2025 at 15:49:43

Take profit at 0.06709 (0.9 %) and Stop Loss at 0.068 (0.44 %)

Short Trade on SIGN

The 29 Sep 2025 at 15:49:43

With 26386.8031 SIGN at 0.0677$ per unit.

Position size of 1786.3866 $

Take profit at 0.06709 (0.9 %) and Stop Loss at 0.068 (0.44 %)

That's a 2.03 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 7.13
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.55
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.445664

15m : -0.097225

1H : 0.088637

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.000202121239
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.0683679
  4. ema21 : 0.0703468
  5. ema50 : 0.0728467
  6. ema100 : 0.0750591
  7. price_ema9_diff : -0.00977019
  8. ema9_ema21_diff : -0.0281303
  9. ema21_ema50_diff : -0.0343174
  10. price_ema100_diff : -0.0980443
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.593666
  14. ema_slope_21 : -0.442334
  15. ema_slope_50 : -0.27646
  16. ema_slope_100 : -0.181427
  17. rsi : 0.302196
  18. adx : 0.533547
  19. kc_percentage : -0.092091
  20. kc_width_percentage : 0.0627506
  21. volume_ema_diff : -0.425948
  22. volume_ema1 : 162259.50499837
  23. volume_ema2 : 282656.83192275
  24. chop : 24.6357
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0673226
  28. ema21 : 0.0676571
  29. ema50 : 0.0691067
  30. ema100 : 0.0708142
  31. price_ema9_diff : 0.00560522
  32. ema9_ema21_diff : -0.00494449
  33. ema21_ema50_diff : -0.0209759
  34. price_ema100_diff : -0.0439775
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0691056
  38. ema_slope_21 : -0.135116
  39. ema_slope_50 : -0.148807
  40. ema_slope_100 : -0.118672
  41. rsi : 0.467418
  42. adx : 0.482286
  43. kc_percentage : 0.548471
  44. kc_width_percentage : 0.0267328
  45. volume_ema_diff : -0.797136
  46. volume_ema1 : 12395.417027792
  47. volume_ema2 : 61102.210534351
  48. chop : 59.9216
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0673628
  52. ema21 : 0.0671827
  53. ema50 : 0.0673958
  54. ema100 : 0.0680185
  55. price_ema9_diff : 0.00500438
  56. ema9_ema21_diff : 0.0026814
  57. ema21_ema50_diff : -0.00316126
  58. price_ema100_diff : -0.00468389
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0498197
  62. ema_slope_21 : 0.0233635
  63. ema_slope_50 : -0.0140431
  64. ema_slope_100 : -0.0274685
  65. rsi : 0.648847
  66. adx : 0.231724
  67. kc_percentage : 1.1544
  68. kc_width_percentage : 0.0115659
  69. volume_ema_diff : -0.673544
  70. volume_ema1 : 4063.5553645421
  71. volume_ema2 : 12447.497030476
  72. chop : 38.7433
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113445
  77. 5m_price_ema100_diff: 
    0.00697485
  78. 5m_price: 
    114236
  79. 5m_correlation_with_coin: 
    0.445664
  80. btc_indicators
  81. 15m_ema100: 
    112397
  82. 15m_price_ema100_diff: 
    0.0163682
  83. 15m_price: 
    114236
  84. 15m_correlation_with_coin: 
    -0.097225
  85. btc_indicators
  86. 1H_ema100: 
    110823
  87. 1H_price_ema100_diff: 
    0.0307985
  88. 1H_price: 
    114236
  89. 1H_correlation_with_coin: 
    0.088637
    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] => 2025-09-26 08:00:00
                    [1] => 0.07545
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-26 14:00:00
                    [1] => 0.0805
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-26 21:00:00
                    [1] => 0.07608
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-27 01:00:00
                    [1] => 0.07801
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-27 05:00:00
                    [1] => 0.07509
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-27 12:00:00
                    [1] => 0.07788
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.07733
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.07304
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-28 20:00:00
                    [1] => 0.07574
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-29 13:00:00
                    [1] => 0.06617
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -10.615262740956
            [ms_dist_from_last_low_pct] => 2.3122260843282
            [ms_bars_since_swing_high] => 19
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 14.462747468641
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [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 17:30:00
                    [1] => 0.0745
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-28 18:15:00
                    [1] => 0.0755
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-28 20:00:00
                    [1] => 0.07574
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-28 22:00:00
                    [1] => 0.07417
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 23:45:00
                    [1] => 0.07488
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 01:30:00
                    [1] => 0.07156
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-29 09:30:00
                    [1] => 0.06788
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-29 11:00:00
                    [1] => 0.06982
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-29 13:30:00
                    [1] => 0.06617
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-29 15:45:00
                    [1] => 0.06773
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.044293518381813
            [ms_dist_from_last_low_pct] => 2.3122260843282
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 2.3575638506876
            [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] => 2025-09-29 10:15:00
                    [1] => 0.06975
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-29 10:40:00
                    [1] => 0.06889
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-29 11:05:00
                    [1] => 0.06982
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-29 11:20:00
                    [1] => 0.06877
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-29 13:30:00
                    [1] => 0.06617
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-29 14:00:00
                    [1] => 0.06724
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-29 14:15:00
                    [1] => 0.06671
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-29 14:45:00
                    [1] => 0.06715
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-29 15:05:00
                    [1] => 0.0667
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-29 15:45:00
                    [1] => 0.06773
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.044293518381813
            [ms_dist_from_last_low_pct] => 1.4992503748126
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 1.544227886057
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.04%
Dist From Last Low Pct
1.50%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
1.54%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-29 10:15:00 0.06975 ↑ High
2025-09-29 10:40:00 0.06889 ↓ Low
2025-09-29 11:05:00 0.06982 ↑ High
2025-09-29 11:20:00 0.06877 ↓ Low
2025-09-29 13:30:00 0.06617 ↓ Low
2025-09-29 14:00:00 0.06724 ↑ High
2025-09-29 14:15:00 0.06671 ↓ Low
2025-09-29 14:45:00 0.06715 ↑ High
2025-09-29 15:05:00 0.0667 ↓ Low
2025-09-29 15:45:00 0.06773 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.04%
Dist From Last Low Pct
2.31%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
2.36%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-28 17:30:00 0.0745 ↓ Low
2025-09-28 18:15:00 0.0755 ↑ High
2025-09-28 20:00:00 0.07574 ↑ High
2025-09-28 22:00:00 0.07417 ↓ Low
2025-09-28 23:45:00 0.07488 ↑ High
2025-09-29 01:30:00 0.07156 ↓ Low
2025-09-29 09:30:00 0.06788 ↓ Low
2025-09-29 11:00:00 0.06982 ↑ High
2025-09-29 13:30:00 0.06617 ↓ Low
2025-09-29 15:45:00 0.06773 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-10.62%
Dist From Last Low Pct
2.31%
Bars Since Swing High
19 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
14.46%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-26 08:00:00 0.07545 ↓ Low
2025-09-26 14:00:00 0.0805 ↑ High
2025-09-26 21:00:00 0.07608 ↓ Low
2025-09-27 01:00:00 0.07801 ↑ High
2025-09-27 05:00:00 0.07509 ↓ Low
2025-09-27 12:00:00 0.07788 ↑ High
2025-09-27 18:00:00 0.07733 ↑ High
2025-09-28 08:00:00 0.07304 ↓ Low
2025-09-28 20:00:00 0.07574 ↑ High
2025-09-29 13:00:00 0.06617 ↓ Low

📌 Time Data

Start at Closed at Duration
29 Sep 2025
15:49:43		 29 Sep 2025
18:05:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0677 0.068 0.06709 2.03 0.0262
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 0.0677
  • Stop Loss: 0.068
  • Take Profit: 0.06709

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.068 - 0.0677 = 0.00030000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0677 - 0.06709 = 0.00061

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00061 / 0.00030000000000001 = 2.0333

📌 Position Size

Amount Margin Quantity Leverage
1786.3866 100 26386.8031 17.86
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 0.00030000000000001

Taille de position = 8 / 0.00030000000000001 = 26666.67

Taille de position USD = 26666.67 x 0.0677 = 1805.33

Donc, tu peux acheter 26666.67 avec un stoploss a 0.068

Avec un position size USD de 1805.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 26666.67 x 0.00030000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 26666.67 x 0.00061 = 16.27

Si Take Profit atteint, tu gagneras 16.27$

Résumé

  • Taille de position 26666.67
  • Taille de position USD 1805.33
  • Perte potentielle 8
  • Gain potentiel 16.27
  • Risk-Reward Ratio 2.0333

📌 Peformances

TP % Target TP $ Target
0.9 % 16.1 $
SL % Target SL $ Target
0.44 % 7.92 $
PNL PNL %
16.1 $ 0.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3988 % 90 % 13

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0671
            [stop_loss] => 0.068
            [rr_ratio] => 2
            [closed_at] => 2025-09-29 18:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.06695
            [stop_loss] => 0.068
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-29 18:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0668
            [stop_loss] => 0.068
            [rr_ratio] => 3
            [closed_at] => 2025-09-29 18:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.06665
            [stop_loss] => 0.068
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-29 19:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0665
            [stop_loss] => 0.068
            [rr_ratio] => 4
            [closed_at] => 2025-09-29 19:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.06635
            [stop_loss] => 0.068
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-29 20:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.0662
            [stop_loss] => 0.068
            [rr_ratio] => 5
            [closed_at] => 2025-09-29 20:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.06605
            [stop_loss] => 0.068
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-29 20:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.0659
            [stop_loss] => 0.068
            [rr_ratio] => 6
            [closed_at] => 2025-09-29 20:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.06575
            [stop_loss] => 0.068
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-29 20:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.0656
            [stop_loss] => 0.068
            [rr_ratio] => 7
            [closed_at] => 2025-09-29 20:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00037999999999999
            [max_drawdown] => 0.00027000000000001
            [rr_ratio] => 1.41
            [high] => 0.06797000
            [low] => 0.06732000
            [mfe_pct] => 0.56
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 1.41
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T15:49:43-04:00
            [end_at] => 2025-09-29T17:49:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00351
            [max_drawdown] => 0.00027000000000001
            [rr_ratio] => 13
            [high] => 0.06797000
            [low] => 0.06419000
            [mfe_pct] => 5.18
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 13
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T15:49:43-04:00
            [end_at] => 2025-09-29T22:49:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06884000
            [high_after] => 0.06797000
            [low_before] => 0.06617000
            [low_after] => 0.06419000
            [is_new_high] => 
            [is_new_low] => 1
        )

)