Short Trade on ORDI 15 Sep 2025 at 14:58:07

Take profit at 9.324 (0.85 %) and Stop Loss at 9.444 (0.43 %)

Short Trade on ORDI

The 15 Sep 2025 at 14:58:07

With 199.9339 ORDI at 9.404$ per unit.

Position size of 1880.1783 $

Take profit at 9.324 (0.85 %) and Stop Loss at 9.444 (0.43 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.62
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.48
Prediction 3 Probability
0 0.54
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low

BTC Correlation Score

5m : 0.745616

15m : 0.111623

1H : -0.074884

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0266754843
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 9.43442
  4. ema21 : 9.60984
  5. ema50 : 9.83126
  6. ema100 : 9.87038
  7. price_ema9_diff : -0.00322454
  8. ema9_ema21_diff : -0.0182548
  9. ema21_ema50_diff : -0.0225216
  10. price_ema100_diff : -0.0472513
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.462985
  14. ema_slope_21 : -0.346341
  15. ema_slope_50 : -0.205527
  16. ema_slope_100 : -0.099005
  17. rsi : 0.359026
  18. adx : 0.468489
  19. kc_percentage : 0.157404
  20. kc_width_percentage : 0.0599163
  21. volume_ema_diff : -0.250849
  22. volume_ema1 : 406921.22876066
  23. volume_ema2 : 543176.82403752
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 9.35261
  28. ema21 : 9.37375
  29. ema50 : 9.4914
  30. ema100 : 9.64749
  31. price_ema9_diff : 0.00549461
  32. ema9_ema21_diff : -0.00225593
  33. ema21_ema50_diff : -0.0123952
  34. price_ema100_diff : -0.0252396
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0298075
  38. ema_slope_21 : -0.0573724
  39. ema_slope_50 : -0.0809714
  40. ema_slope_100 : -0.071625
  41. rsi : 0.482243
  42. adx : 0.384745
  43. kc_percentage : 0.630426
  44. kc_width_percentage : 0.0271431
  45. volume_ema_diff : -0.739523
  46. volume_ema1 : 33796.570540666
  47. volume_ema2 : 129748.90261269
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 9.37049
  52. ema21 : 9.35447
  53. ema50 : 9.35703
  54. ema100 : 9.38394
  55. price_ema9_diff : 0.00357544
  56. ema9_ema21_diff : 0.0017124
  57. ema21_ema50_diff : -0.000272903
  58. price_ema100_diff : 0.00213695
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0292454
  62. ema_slope_21 : 0.0211541
  63. ema_slope_50 : 0.002991
  64. ema_slope_100 : -0.00542125
  65. rsi : 0.617059
  66. adx : 0.107813
  67. kc_percentage : 1.00573
  68. kc_width_percentage : 0.0102618
  69. volume_ema_diff : -0.417587
  70. volume_ema1 : 17521.618158142
  71. volume_ema2 : 30084.549489776
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114794
  77. 5m_price_ema100_diff:
    0.00434188
  78. 5m_price:
    115292
  79. 5m_correlation_with_coin:
    0.745616
  80. btc_indicators
  81. 15m_ema100:
    115159
  82. 15m_price_ema100_diff:
    -0.000864125
  83. 15m_price:
    115060
  84. 15m_correlation_with_coin:
    0.111623
  85. btc_indicators
  86. 1H_ema100:
    115260
  87. 1H_price_ema100_diff:
    0.000277076
  88. 1H_price:
    115292
  89. 1H_correlation_with_coin:
    -0.074884
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:58:07
15 Sep 2025
16:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.404 9.444 9.324 2 2.57
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 9.404
  • Stop Loss: 9.444
  • Take Profit: 9.324

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.444 - 9.404 = 0.040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.404 - 9.324 = 0.08

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.08 / 0.040000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1880.1783 100 199.9339 18.80
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 0.040000000000001

Taille de position = 8 / 0.040000000000001 = 200

Taille de position USD = 200 x 9.404 = 1880.8

Donc, tu peux acheter 200 avec un stoploss a 9.444

Avec un position size USD de 1880.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 200 x 0.040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 200 x 0.08 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 200
  • Taille de position USD 1880.8
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.85 % 15.99 $
SL % Target SL $ Target
0.43 % 8 $
PNL PNL %
-8 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4785 % 112.48 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.324
            [entry_price] => 9.404
            [stop_loss] => 9.448
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 16:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.324
            [entry_price] => 9.404
            [stop_loss] => 9.452
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.324
            [entry_price] => 9.404
            [stop_loss] => 9.456
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.324
            [entry_price] => 9.404
            [stop_loss] => 9.464
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.071
            [max_drawdown] => 0.045
            [rr_ratio] => 1.58
            [high] => 9.44900000
            [low] => 9.33300000
            [mfe_pct] => 0.75
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 1.58
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:58:07-04:00
            [end_at] => 2025-09-15T16:58:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.071
            [max_drawdown] => 0.121
            [rr_ratio] => 0.59
            [high] => 9.52500000
            [low] => 9.33300000
            [mfe_pct] => 0.75
            [mae_pct] => 1.29
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:58:07-04:00
            [end_at] => 2025-09-15T21:58:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.43800000
            [high_after] => 9.47800000
            [low_before] => 9.24100000
            [low_after] => 9.33300000
            [is_new_high] => 
            [is_new_low] => 
        )

)