Short Trade on ORDI 04 Sep 2025 at 21:44:58

Take profit at 8.5644 (0.79 %) and Stop Loss at 8.6673 (0.4 %)

Short Trade on ORDI

The 04 Sep 2025 at 21:44:58

With 233.1261 ORDI at 8.633$ per unit.

Position size of 2012.5774 $

Take profit at 8.5644 (0.79 %) and Stop Loss at 8.6673 (0.4 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.63
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.667271

15m : 0.024789

1H : 0.058972

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.02287746394
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 8.59561
  4. ema21 : 8.63471
  5. ema50 : 8.65425
  6. ema100 : 8.64983
  7. price_ema9_diff : 0.0043498
  8. ema9_ema21_diff : -0.00452854
  9. ema21_ema50_diff : -0.00225848
  10. price_ema100_diff : -0.00194609
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.139902
  14. ema_slope_21 : -0.111504
  15. ema_slope_50 : -0.0446068
  16. ema_slope_100 : -0.0186253
  17. rsi : 0.490089
  18. adx : 0.146262
  19. kc_percentage : 0.502329
  20. kc_width_percentage : 0.047858
  21. volume_ema_diff : -0.405331
  22. volume_ema1 : 127981.55117163
  23. volume_ema2 : 215215.13012909
  24. regime : range_high
  25. ¸
  26. 15m
  27. ema9 : 8.56857
  28. ema21 : 8.57285
  29. ema50 : 8.60242
  30. ema100 : 8.67336
  31. price_ema9_diff : 0.00751872
  32. ema9_ema21_diff : -0.000498712
  33. ema21_ema50_diff : -0.00343762
  34. price_ema100_diff : -0.0046544
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0204135
  38. ema_slope_21 : -0.00768938
  39. ema_slope_50 : -0.0182204
  40. ema_slope_100 : -0.0260535
  41. rsi : 0.523748
  42. adx : 0.168069
  43. kc_percentage : 0.845521
  44. kc_width_percentage : 0.0203181
  45. volume_ema_diff : -0.346576
  46. volume_ema1 : 26040.196023092
  47. volume_ema2 : 39851.944275858
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 8.58556
  52. ema21 : 8.57332
  53. ema50 : 8.57327
  54. ema100 : 8.57557
  55. price_ema9_diff : 0.00552495
  56. ema9_ema21_diff : 0.00142805
  57. ema21_ema50_diff : 5.95356E-6
  58. price_ema100_diff : 0.00669602
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0317235
  62. ema_slope_21 : 0.00956392
  63. ema_slope_50 : 0.000340189
  64. ema_slope_100 : -0.000819716
  65. rsi : 0.647549
  66. adx : 0.177282
  67. kc_percentage : 1.14966
  68. kc_width_percentage : 0.0105937
  69. volume_ema_diff : -0.0175092
  70. volume_ema1 : 10642.592223198
  71. volume_ema2 : 10832.256918474
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110459
  77. 5m_price_ema100_diff:
    0.00456983
  78. 5m_price:
    110963
  79. 5m_correlation_with_coin:
    0.667271
  80. btc_indicators
  81. 15m_ema100:
    110659
  82. 15m_price_ema100_diff:
    0.00158246
  83. 15m_price:
    110834
  84. 15m_correlation_with_coin:
    0.024789
  85. btc_indicators
  86. 1H_ema100:
    110350
  87. 1H_price_ema100_diff:
    0.00555623
  88. 1H_price:
    110963
  89. 1H_correlation_with_coin:
    0.058972
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
21:44:58
04 Sep 2025
22:15:00
30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
8.633 8.6673 8.5644 2 2.481
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 8.633
  • Stop Loss: 8.6673
  • Take Profit: 8.5644

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 8.6673 - 8.633 = 0.0343

  • Récompense (distance jusqu'au take profit):

    E - TP = 8.633 - 8.5644 = 0.0686

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0686 / 0.0343 = 2

📌 Position Size

Amount Margin Quantity Leverage
2012.5774 100 233.1261 20.13
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 0.0343

Taille de position = 8 / 0.0343 = 233.24

Taille de position USD = 233.24 x 8.633 = 2013.56

Donc, tu peux acheter 233.24 avec un stoploss a 8.6673

Avec un position size USD de 2013.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 233.24 x 0.0343 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 233.24 x 0.0686 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 233.24
  • Taille de position USD 2013.56
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.79 % 15.99 $
SL % Target SL $ Target
0.4 % 8 $
PNL PNL %
-8 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4054 % 102.04 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 8.5644
            [entry_price] => 8.633
            [stop_loss] => 8.67073
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 22:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 8.5644
            [entry_price] => 8.633
            [stop_loss] => 8.67416
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 22:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 8.5644
            [entry_price] => 8.633
            [stop_loss] => 8.67759
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 22:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 8.5644
            [entry_price] => 8.633
            [stop_loss] => 8.68445
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 22:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.045
            [max_drawdown] => 0.067
            [rr_ratio] => 0.67
            [high] => 8.70000000
            [low] => 8.58800000
            [mfe_pct] => 0.52
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 0.67
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T21:44:58-04:00
            [end_at] => 2025-09-04T23:44:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.045
            [max_drawdown] => 0.275
            [rr_ratio] => 0.16
            [high] => 8.90800000
            [low] => 8.58800000
            [mfe_pct] => 0.52
            [mae_pct] => 3.19
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T21:44:58-04:00
            [end_at] => 2025-09-05T04:44:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 8.69600000
            [high_after] => 8.85500000
            [low_before] => 8.50000000
            [low_after] => 8.58800000
            [is_new_high] => 
            [is_new_low] => 
        )

)