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Long Trade on ZORA

Long Trade on ZORA

The 09 Nov 2025 at 23:46:39

With 13125.2499 ZORA at 0.06392$ per unit.

Position size of 838.966 $

Take profit at 0.06514 (1.91 %) and Stop Loss at 0.06331 (0.95 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 4.22
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.366242

15m : 0.03612

1H : 0.02172

 3

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.00040634147
Details
  1. score: 2
  2. 1H
  3. ema9 - 0.0637404
  4. ema21 - 0.0626773
  5. ema50 - 0.0616969
  6. ema100 - 0.0615604
  7. price_ema9_diff - 0.0028164
  8. ema9_ema21_diff - 0.0169625
  9. ema21_ema50_diff - 0.0158895
  10. price_ema100_diff - 0.0383286
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - 0.337872
  14. ema_slope_21 - 0.292294
  15. ema_slope_50 - 0.155911
  16. ema_slope_100 - 0.0712716
  17. rsi - 0.619008
  18. adx - 0.339153
  19. kc_percentage - 0.703083
  20. kc_width_percentage - 0.0903645
  21. volume_ema_diff - 0.803814
  22. volume_ema1 - 307052.67990848
  23. volume_ema2 - 170224.12643469
  24. chop - 34.4416
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0645846
  28. ema21 - 0.0643769
  29. ema50 - 0.0634744
  30. ema100 - 0.0623186
  31. price_ema9_diff - -0.0102913
  32. ema9_ema21_diff - 0.00322692
  33. ema21_ema50_diff - 0.0142185
  34. price_ema100_diff - 0.0256962
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0817748
  38. ema_slope_21 - 0.127118
  39. ema_slope_50 - 0.116953
  40. ema_slope_100 - 0.0955043
  41. rsi - 0.478129
  42. adx - 0.268864
  43. kc_percentage - 0.355888
  44. kc_width_percentage - 0.0529365
  45. volume_ema_diff - -0.401116
  46. volume_ema1 - 38942.049737197
  47. volume_ema2 - 65024.392503017
  48. chop - 39.7323
  49. regime - bull_high
    50. ¸
  50. 5m
  51. ema9 - 0.0643208
  52. ema21 - 0.0646838
  53. ema50 - 0.0645686
  54. ema100 - 0.0641385
  55. price_ema9_diff - -0.0062318
  56. ema9_ema21_diff - -0.00561261
  57. ema21_ema50_diff - 0.00178497
  58. price_ema100_diff - -0.00340724
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - -0.212229
  62. ema_slope_21 - -0.108289
  63. ema_slope_50 - -0.0189321
  64. ema_slope_100 - 0.00733946
  65. rsi - 0.377095
  66. adx - 0.218877
  67. kc_percentage - -2.88061E-7
  68. kc_width_percentage - 0.0234849
  69. volume_ema_diff - -0.743412
  70. volume_ema1 - 6719.3228760038
  71. volume_ema2 - 26187.256435709
  72. chop - 33.1265
  73. regime - range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 105473
  77. 5m_price_ema100_diff: 0.00389826
  78. 5m_price: 105884
  79. 5m_correlation_with_coin: 0.366242
  80. btc_indicators
  81. 15m_ema100: 104038
  82. 15m_price_ema100_diff: 0.0177498
  83. 15m_price: 105884
  84. 15m_correlation_with_coin: 0.03612
  85. btc_indicators
  86. 1H_ema100: 102945
  87. 1H_price_ema100_diff: 0.0285495
  88. 1H_price: 105884
  89. 1H_correlation_with_coin: 0.02172
    90. ¸

📌 Time Data

Start at Closed at Duration
09 Nov 2025
23:46:39		 10 Nov 2025
02:40:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06392 0.06331 0.06514 2 0.0493
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 0.06392
  • Stop Loss: 0.06331
  • Take Profit: 0.06514

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06331 - 0.06392 = -0.00061

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06392 - 0.06514 = -0.00122

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00122 / -0.00061 = 2

📌 Position Size

Amount Margin Quantity Leverage
838.966 100 13125.2499 8.39
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 -0.00061

Taille de position = 8 / -0.00061 = -13114.75

Taille de position USD = -13114.75 x 0.06392 = -838.29

Donc, tu peux acheter -13114.75 avec un stoploss a 0.06331

Avec un position size USD de -838.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13114.75 x -0.00061 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13114.75 x -0.00122 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -13114.75
  • Taille de position USD -838.29
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.91 % 16.01 $
SL % Target SL $ Target
0.95 % 8.01 $
PNL PNL %
-8.01 $ -0.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0169 % 106.56 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06514
            [entry_price] => 0.06392
            [stop_loss] => 0.063249
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-10 02:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06514
            [entry_price] => 0.06392
            [stop_loss] => 0.063188
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-10 02:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06514
            [entry_price] => 0.06392
            [stop_loss] => 0.063127
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-10 02:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06514
            [entry_price] => 0.06392
            [stop_loss] => 0.063005
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-10 03:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00091999999999999
            [max_drawdown] => 6.0000000000004E-5
            [rr_ratio] => 15.33
            [high] => 0.06484000
            [low] => 0.06386000
            [mfe_pct] => 1.44
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 15.33
            [candles_analyzed] => 24
            [start_at] => 2025-11-09T23:46:39-05:00
            [end_at] => 2025-11-10T01:46:39-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00091999999999999
            [max_drawdown] => 0.00253
            [rr_ratio] => 0.36
            [high] => 0.06484000
            [low] => 0.06139000
            [mfe_pct] => 1.44
            [mae_pct] => 3.96
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 84
            [start_at] => 2025-11-09T23:46:39-05:00
            [end_at] => 2025-11-10T06:46:39-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06776000
            [high_after] => 0.06484000
            [low_before] => 0.06369000
            [low_after] => 0.06139000
            [is_new_high] => 
            [is_new_low] => 
        )

)