Short Trade on TREE 25 Sep 2025 at 20:39:30

Take profit at 0.2592 (1.44 %) and Stop Loss at 0.2649 (0.72 %)

Short Trade on TREE

The 25 Sep 2025 at 20:39:30

With 4205.1165 TREE at 0.263$ per unit.

Position size of 1105.9456 $

Take profit at 0.2592 (1.44 %) and Stop Loss at 0.2649 (0.72 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.03
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.593691

15m : 0.001231

1H : -0.048553

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.001268296206
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.260938
  4. ema21 : 0.266379
  5. ema50 : 0.276724
  6. ema100 : 0.28965
  7. price_ema9_diff : 0.00790048
  8. ema9_ema21_diff : -0.0204267
  9. ema21_ema50_diff : -0.0373842
  10. price_ema100_diff : -0.0920106
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.346608
  14. ema_slope_21 : -0.369237
  15. ema_slope_50 : -0.283048
  16. ema_slope_100 : -0.217249
  17. rsi : 0.425856
  18. adx : 0.47506
  19. kc_percentage : 0.366094
  20. kc_width_percentage : 0.0828516
  21. volume_ema_diff : -0.343712
  22. volume_ema1 : 244356.95370978
  23. volume_ema2 : 372332.14590983
  24. chop : 53.0792
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.26001
  29. ema21 : 0.259909
  30. ema50 : 0.262768
  31. ema100 : 0.268434
  32. price_ema9_diff : 0.0114977
  33. ema9_ema21_diff : 0.000387007
  34. ema21_ema50_diff : -0.0108802
  35. price_ema100_diff : -0.0202456
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0242008
  39. ema_slope_21 : -0.028847
  40. ema_slope_50 : -0.0668424
  41. ema_slope_100 : -0.0764133
  42. rsi : 0.569921
  43. adx : 0.192704
  44. kc_percentage : 0.845683
  45. kc_width_percentage : 0.0345547
  46. volume_ema_diff : -0.158868
  47. volume_ema1 : 67899.731983466
  48. volume_ema2 : 80724.23414287
  49. chop : 47.4123
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.261273
  54. ema21 : 0.259719
  55. ema50 : 0.259438
  56. ema100 : 0.260417
  57. price_ema9_diff : 0.00660959
  58. ema9_ema21_diff : 0.00598276
  59. ema21_ema50_diff : 0.0010809
  60. price_ema100_diff : 0.0099169
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.137178
  64. ema_slope_21 : 0.0558237
  65. ema_slope_50 : 0.0108724
  66. ema_slope_100 : -0.00547777
  67. rsi : 0.66756
  68. adx : 0.25353
  69. kc_percentage : 1.09926
  70. kc_width_percentage : 0.0204336
  71. volume_ema_diff : 0.00150963
  72. volume_ema1 : 22597.861441505
  73. volume_ema2 : 22563.79837138
  74. chop : 17.9941
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109609
  80. 5m_price_ema100_diff:
    -0.00517169
  81. 5m_price:
    109042
  82. 5m_correlation_with_coin:
    0.593691
  83. btc_indicators
  84. 15m_ema100:
    110790
  85. 15m_price_ema100_diff:
    -0.0157501
  86. 15m_price:
    109046
  87. 15m_correlation_with_coin:
    0.001231
  88. btc_indicators
  89. 1H_ema100:
    112361
  90. 1H_price_ema100_diff:
    -0.0295363
  91. 1H_price:
    109042
  92. 1H_correlation_with_coin:
    -0.048553
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
20:39:30
25 Sep 2025
20:50:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.263 0.2649 0.2592 2 0.0767
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 0.263
  • Stop Loss: 0.2649
  • Take Profit: 0.2592

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2649 - 0.263 = 0.0019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.263 - 0.2592 = 0.0038

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0038 / 0.0019 = 2

📌 Position Size

Amount Margin Quantity Leverage
1105.9456 100 4205.1165 11.06
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 0.0019

Taille de position = 8 / 0.0019 = 4210.53

Taille de position USD = 4210.53 x 0.263 = 1107.37

Donc, tu peux acheter 4210.53 avec un stoploss a 0.2649

Avec un position size USD de 1107.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4210.53 x 0.0019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4210.53 x 0.0038 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4210.53
  • Taille de position USD 1107.37
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.44 % 15.98 $
SL % Target SL $ Target
0.72 % 7.99 $
PNL PNL %
-7.99 $ -0.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3308 % 184.22 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2592
            [entry_price] => 0.263
            [stop_loss] => 0.26509
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-25 20:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2592
            [entry_price] => 0.263
            [stop_loss] => 0.26528
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-25 20:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2592
            [entry_price] => 0.263
            [stop_loss] => 0.26547
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-25 20:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2592
            [entry_price] => 0.263
            [stop_loss] => 0.26585
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-25 20:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00020000000000003
            [max_drawdown] => 0.0063
            [rr_ratio] => 0.03
            [high] => 0.26930000
            [low] => 0.26280000
            [mfe_pct] => 0.08
            [mae_pct] => 2.4
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T20:39:30-04:00
            [end_at] => 2025-09-25T22:39:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00020000000000003
            [max_drawdown] => 0.0152
            [rr_ratio] => 0.01
            [high] => 0.27820000
            [low] => 0.26280000
            [mfe_pct] => 0.08
            [mae_pct] => 5.78
            [mfe_mae_ratio] => 0.01
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T20:39:30-04:00
            [end_at] => 2025-09-26T03:39:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.26430000
            [high_after] => 0.27820000
            [low_before] => 0.25470000
            [low_after] => 0.26280000
            [is_new_high] => 
            [is_new_low] => 
        )

)