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Long Trade on REZ

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Long Trade on REZ 16 Oct 2025 at 10:19:29

Take profit at 0.01309 (3.15 %) and Stop Loss at 0.01249 (1.58 %)

Long Trade on REZ

The 16 Oct 2025 at 10:19:29

With 40151.5349 REZ at 0.01269$ per unit.

Position size of 509.523 $

Take profit at 0.01309 (3.15 %) and Stop Loss at 0.01249 (1.58 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.48
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.54
Prediction 3 Probability
1 0.51
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_high_confirmed
BTC Correlation Score

5m : 0.691212

15m : 0.043064

1H : 0.090687

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0001328301234
Details
  1. score: 2.01
  2. 1H
  3. ema9 : 0.0127624
  4. ema21 : 0.0126836
  5. ema50 : 0.0126163
  6. ema100 : 0.0123812
  7. price_ema9_diff : -0.00567514
  8. ema9_ema21_diff : 0.00621496
  9. ema21_ema50_diff : 0.00532756
  10. price_ema100_diff : 0.0249344
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.209242
  14. ema_slope_21 : 0.0750774
  15. ema_slope_50 : 0.0385012
  16. ema_slope_100 : 0.0587368
  17. rsi : 0.504157
  18. adx : 0.139483
  19. kc_percentage : 0.502864
  20. kc_width_percentage : 0.108926
  21. volume_ema_diff : 0.212042
  22. volume_ema1 : 330913.88609524
  23. volume_ema2 : 273021.70156633
  24. chop : 40.929
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.0129163
  28. ema21 : 0.0128625
  29. ema50 : 0.0127322
  30. ema100 : 0.0126857
  31. price_ema9_diff : -0.0175239
  32. ema9_ema21_diff : 0.00418216
  33. ema21_ema50_diff : 0.0102339
  34. price_ema100_diff : 0.000338365
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.150323
  38. ema_slope_21 : 0.155872
  39. ema_slope_50 : 0.102865
  40. ema_slope_100 : 0.0540425
  41. rsi : 0.448814
  42. adx : 0.187442
  43. kc_percentage : 0.29206
  44. kc_width_percentage : 0.0677988
  45. volume_ema_diff : 0.321819
  46. volume_ema1 : 110719.36075988
  47. volume_ema2 : 83762.846887754
  48. chop : 40.5283
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.0128904
  52. ema21 : 0.0129712
  53. ema50 : 0.0129154
  54. ema100 : 0.0128153
  55. price_ema9_diff : -0.0155492
  56. ema9_ema21_diff : -0.00623101
  57. ema21_ema50_diff : 0.00431833
  58. price_ema100_diff : -0.0097823
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.143539
  62. ema_slope_21 : -0.0433219
  63. ema_slope_50 : 0.0215808
  64. ema_slope_100 : 0.0292008
  65. rsi : 0.330252
  66. adx : 0.237436
  67. kc_percentage : -0.00503108
  68. kc_width_percentage : 0.0436687
  69. volume_ema_diff : 0.702195
  70. volume_ema1 : 61147.169435867
  71. volume_ema2 : 35922.533092324
  72. chop : 33.5638
  73. regime : bear_high_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111076
  77. 5m_price_ema100_diff: 
    -0.00827404
  78. 5m_price: 
    110157
  79. 5m_correlation_with_coin: 
    0.691212
  80. btc_indicators
  81. 15m_ema100: 
    111083
  82. 15m_price_ema100_diff: 
    -0.00833672
  83. 15m_price: 
    110157
  84. 15m_correlation_with_coin: 
    0.043064
  85. btc_indicators
  86. 1H_ema100: 
    112074
  87. 1H_price_ema100_diff: 
    -0.0171059
  88. 1H_price: 
    110157
  89. 1H_correlation_with_coin: 
    0.090687
    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] => 2025-10-12 16:00:00
                    [1] => 0.0135
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-13 07:00:00
                    [1] => 0.01157
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-13 16:00:00
                    [1] => 0.01333
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-14 02:00:00
                    [1] => 0.01123
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-14 15:00:00
                    [1] => 0.01381
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-14 21:00:00
                    [1] => 0.01264
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-15 01:00:00
                    [1] => 0.01348
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 0.01207
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.01193
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.01339
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -5.8252427184466
            [ms_dist_from_last_low_pct] => 5.6999161777033
            [ms_bars_since_swing_high] => 2
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 12.238055322716
            [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] => 2025-10-15 20:00:00
                    [1] => 0.01244
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-15 20:30:00
                    [1] => 0.01216
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-15 22:00:00
                    [1] => 0.01258
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-15 23:00:00
                    [1] => 0.01258
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 00:45:00
                    [1] => 0.01241
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 01:45:00
                    [1] => 0.01241
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 03:00:00
                    [1] => 0.01292
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 05:30:00
                    [1] => 0.01193
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 08:45:00
                    [1] => 0.01339
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 10:15:00
                    [1] => 0.01255
                    [2] => L
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -5.8252427184466
            [ms_dist_from_last_low_pct] => 0.47808764940238
            [ms_bars_since_swing_high] => 6
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 6.6932270916335
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [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] => 2025-10-16 04:45:00
                    [1] => 0.01256
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 05:35:00
                    [1] => 0.01193
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 06:15:00
                    [1] => 0.01282
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 07:00:00
                    [1] => 0.01267
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 07:15:00
                    [1] => 0.01287
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 07:35:00
                    [1] => 0.0127
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 08:45:00
                    [1] => 0.01339
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 09:20:00
                    [1] => 0.01298
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 09:45:00
                    [1] => 0.01325
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 10:15:00
                    [1] => 0.01255
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -4.8301886792453
            [ms_dist_from_last_low_pct] => 0.47808764940238
            [ms_bars_since_swing_high] => 6
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 5.5776892430279
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
    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
-4.83%
Dist From Last Low Pct
0.48%
Bars Since Swing High
6 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
5.58%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0006
4.48%
TP to Pivot Distance
0.0003
2.29%
DateTime Price Type
2025-10-16 04:45:00 0.01256 ↑ High
2025-10-16 05:35:00 0.01193 ↓ Low
2025-10-16 06:15:00 0.01282 ↑ High
2025-10-16 07:00:00 0.01267 ↓ Low
2025-10-16 07:15:00 0.01287 ↑ High
2025-10-16 07:35:00 0.0127 ↓ Low
2025-10-16 08:45:00 0.01339 ↑ High
2025-10-16 09:20:00 0.01298 ↓ Low
2025-10-16 09:45:00 0.01325 ↑ High
2025-10-16 10:15:00 0.01255 ↓ Low
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-5.83%
Dist From Last Low Pct
0.48%
Bars Since Swing High
6 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
6.69%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0006
4.48%
TP to Pivot Distance
0.0003
2.29%
DateTime Price Type
2025-10-15 20:00:00 0.01244 ↑ High
2025-10-15 20:30:00 0.01216 ↓ Low
2025-10-15 22:00:00 0.01258 ↑ High
2025-10-15 23:00:00 0.01258 ↑ High
2025-10-16 00:45:00 0.01241 ↓ Low
2025-10-16 01:45:00 0.01241 ↓ Low
2025-10-16 03:00:00 0.01292 ↑ High
2025-10-16 05:30:00 0.01193 ↓ Low
2025-10-16 08:45:00 0.01339 ↑ High
2025-10-16 10:15:00 0.01255 ↓ Low
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-5.83%
Dist From Last Low Pct
5.70%
Bars Since Swing High
2 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
12.24%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0013
10.09%
TP to Pivot Distance
0.0007
5.50%
DateTime Price Type
2025-10-12 16:00:00 0.0135 ↑ High
2025-10-13 07:00:00 0.01157 ↓ Low
2025-10-13 16:00:00 0.01333 ↑ High
2025-10-14 02:00:00 0.01123 ↓ Low
2025-10-14 15:00:00 0.01381 ↑ High
2025-10-14 21:00:00 0.01264 ↓ Low
2025-10-15 01:00:00 0.01348 ↑ High
2025-10-15 16:00:00 0.01207 ↓ Low
2025-10-16 05:00:00 0.01193 ↓ Low
2025-10-16 08:00:00 0.01339 ↑ High

📌 Time Data

Start at Closed at Duration
16 Oct 2025
10:19:29		 16 Oct 2025
11:35:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01269 0.01249 0.01309 2 0.002929
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 0.01269
  • Stop Loss: 0.01249
  • Take Profit: 0.01309

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01249 - 0.01269 = -0.0002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01269 - 0.01309 = -0.0004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0004 / -0.0002 = 2

📌 Position Size

Amount Margin Quantity Leverage
509.523 100 40151.5349 5.10
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 -0.0002

Taille de position = 8 / -0.0002 = -40000

Taille de position USD = -40000 x 0.01269 = -507.6

Donc, tu peux acheter -40000 avec un stoploss a 0.01249

Avec un position size USD de -507.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -40000 x -0.0002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -40000 x -0.0004 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -40000
  • Taille de position USD -507.6
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.15 % 16.06 $
SL % Target SL $ Target
1.58 % 8.03 $
PNL PNL %
-8.03 $ -1.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.7336 % 110 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01269
            [stop_loss] => 0.01247
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 11:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01269
            [stop_loss] => 0.01245
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 11:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01269
            [stop_loss] => 0.01243
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 11:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01269
            [stop_loss] => 0.01239
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 11:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00023
            [max_drawdown] => 0.00058
            [rr_ratio] => 0.4
            [high] => 0.01292000
            [low] => 0.01211000
            [mfe_pct] => 1.81
            [mae_pct] => 4.57
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T10:19:29-04:00
            [end_at] => 2025-10-16T12:19:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00023
            [max_drawdown] => 0.00089
            [rr_ratio] => 0.26
            [high] => 0.01292000
            [low] => 0.01180000
            [mfe_pct] => 1.81
            [mae_pct] => 7.01
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T10:19:29-04:00
            [end_at] => 2025-10-16T17:19:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01339000
            [high_after] => 0.01292000
            [low_before] => 0.01255000
            [low_after] => 0.01210000
            [is_new_high] => 
            [is_new_low] => 
        )

)