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Short Trade on TREE

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Short Trade on TREE 09 Sep 2025 at 17:10:49

Take profit at 0.3201 (0.47 %) and Stop Loss at 0.3224 (0.25 %)

Short Trade on TREE

The 09 Sep 2025 at 17:10:49

With 10407.9036 TREE at 0.3216$ per unit.

Position size of 3347.1818 $

Take profit at 0.3201 (0.47 %) and Stop Loss at 0.3224 (0.25 %)

That's a 1.87 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 0.85
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.61
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 : 0.649361

15m : 0.041567

1H : -0.211443

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.0005124310854
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 0.321797
  4. ema21 : 0.324741
  5. ema50 : 0.327983
  6. ema100 : 0.327567
  7. price_ema9_diff : -0.000612854
  8. ema9_ema21_diff : -0.00906695
  9. ema21_ema50_diff : -0.00988325
  10. price_ema100_diff : -0.0182172
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.204824
  14. ema_slope_21 : -0.151897
  15. ema_slope_50 : -0.0872563
  16. ema_slope_100 : -0.0346951
  17. rsi : 0.404601
  18. adx : 0.231604
  19. kc_percentage : 0.274007
  20. kc_width_percentage : 0.0403493
  21. volume_ema_diff : -0.529064
  22. volume_ema1 : 144525.99060382
  23. volume_ema2 : 306891.07748508
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.320099
  27. ema21 : 0.32061
  28. ema50 : 0.322941
  29. ema100 : 0.324973
  30. price_ema9_diff : 0.00468869
  31. ema9_ema21_diff : -0.0015964
  32. ema21_ema50_diff : -0.00721721
  33. price_ema100_diff : -0.01038
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.00335881
  37. ema_slope_21 : -0.0382535
  38. ema_slope_50 : -0.0489155
  39. ema_slope_100 : -0.0356715
  40. rsi : 0.524306
  41. adx : 0.258427
  42. kc_percentage : 0.714788
  43. kc_width_percentage : 0.0154785
  44. volume_ema_diff : -0.151997
  45. volume_ema1 : 55678.320975867
  46. volume_ema2 : 65658.167507222
  47. regime : bear_medium
    48. ¸
  48. 5m
  49. ema9 : 0.320662
  50. ema21 : 0.320198
  51. ema50 : 0.320263
  52. ema100 : 0.321255
  53. price_ema9_diff : 0.00292415
  54. ema9_ema21_diff : 0.00144892
  55. ema21_ema50_diff : -0.000203645
  56. price_ema100_diff : 0.00107113
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0230673
  60. ema_slope_21 : 0.0108926
  61. ema_slope_50 : -0.000359411
  62. ema_slope_100 : -0.00751601
  63. rsi : 0.649652
  64. adx : 0.197946
  65. kc_percentage : 1.19952
  66. kc_width_percentage : 0.00614151
  67. volume_ema_diff : 0.00264176
  68. volume_ema1 : 15359.674966832
  69. volume_ema2 : 15319.205287469
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    111460
  74. 5m_price_ema100_diff: 
    0.000914119
  75. 5m_price: 
    111562
  76. 5m_correlation_with_coin: 
    0.649361
  77. btc_indicators
  78. 15m_ema100: 
    111828
  79. 15m_price_ema100_diff: 
    -0.00237391
  80. 15m_price: 
    111562
  81. 15m_correlation_with_coin: 
    0.041567
  82. btc_indicators
  83. 1H_ema100: 
    111484
  84. 1H_price_ema100_diff: 
    0.000702509
  85. 1H_price: 
    111562
  86. 1H_correlation_with_coin: 
    -0.211443
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
17:10:49		 09 Sep 2025
17:15:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3216 0.3224 0.3201 1.87 0.0725
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 0.3216
  • Stop Loss: 0.3224
  • Take Profit: 0.3201

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3224 - 0.3216 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3216 - 0.3201 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00080000000000002 = 1.875

📌 Position Size

Amount Margin Quantity Leverage
3347.1818 100 10407.9036 33.47
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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.3216 = 3216

Donc, tu peux acheter 10000 avec un stoploss a 0.3224

Avec un position size USD de 3216$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0015 = 15

Si Take Profit atteint, tu gagneras 15$

Résumé

  • Taille de position 10000
  • Taille de position USD 3216
  • Perte potentielle 8
  • Gain potentiel 15
  • Risk-Reward Ratio 1.875

📌 Peformances

TP % Target TP $ Target
0.47 % 15.61 $
SL % Target SL $ Target
0.25 % 8.33 $
PNL PNL %
-8.33 $ -0.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2488 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3201
            [entry_price] => 0.3216
            [stop_loss] => 0.32248
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 17:30:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.3201
            [entry_price] => 0.3216
            [stop_loss] => 0.32256
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 17:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.3201
            [entry_price] => 0.3216
            [stop_loss] => 0.32264
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 17:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.3201
            [entry_price] => 0.3216
            [stop_loss] => 0.3228
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 17:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0017
            [max_drawdown] => 0.0019
            [rr_ratio] => 0.89
            [high] => 0.32350000
            [low] => 0.31990000
            [mfe_pct] => 0.53
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 0.89
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T17:10:49-04:00
            [end_at] => 2025-09-09T19:10:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0019
            [max_drawdown] => 0.0082
            [rr_ratio] => 0.23
            [high] => 0.32980000
            [low] => 0.31970000
            [mfe_pct] => 0.59
            [mae_pct] => 2.55
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T17:10:49-04:00
            [end_at] => 2025-09-10T00:10:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.32240000
            [high_after] => 0.32850000
            [low_before] => 0.31770000
            [low_after] => 0.31970000
            [is_new_high] => 
            [is_new_low] => 
        )

)