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Short Trade on OGN

Short Trade on OGN

The 22 Sep 2025 at 17:21:41

With 36962.2507 OGN at 0.05736$ per unit.

Position size of 2120.1547 $

Take profit at 0.05693 (0.75 %) and Stop Loss at 0.05758 (0.38 %)

That's a 1.95 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.97
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.51
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.502759

15m : -0.01209

1H : 0.014296

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.0001442913575
Details
  1. score: 1.21
  2. 1H
  3. ema9 - 0.0573267
  4. ema21 - 0.0585379
  5. ema50 - 0.0608561
  6. ema100 - 0.0628045
  7. price_ema9_diff - 0.000580217
  8. ema9_ema21_diff - -0.0206906
  9. ema21_ema50_diff - -0.0380936
  10. price_ema100_diff - -0.086691
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.275498
  14. ema_slope_21 - -0.358403
  15. ema_slope_50 - -0.283293
  16. ema_slope_100 - -0.189789
  17. rsi - 0.335727
  18. adx - 0.673475
  19. kc_percentage - 0.134639
  20. kc_width_percentage - 0.051128
  21. volume_ema_diff - -0.0901284
  22. volume_ema1 - 92132.663528799
  23. volume_ema2 - 101258.98007913
  24. chop - 61.898
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0569536
  28. ema21 - 0.0570156
  29. ema50 - 0.0576509
  30. ema100 - 0.0589174
  31. price_ema9_diff - 0.00713441
  32. ema9_ema21_diff - -0.00108691
  33. ema21_ema50_diff - -0.0110204
  34. price_ema100_diff - -0.0264344
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0155814
  38. ema_slope_21 - -0.0504004
  39. ema_slope_50 - -0.0736443
  40. ema_slope_100 - -0.0802804
  41. rsi - 0.549099
  42. adx - 0.399171
  43. kc_percentage - 0.820427
  44. kc_width_percentage - 0.0194871
  45. volume_ema_diff - -0.580757
  46. volume_ema1 - 12347.859023998
  47. volume_ema2 - 29452.76165364
  48. chop - 51.5829
  49. regime - bear_medium
    50. ¸
  50. 5m
  51. ema9 - 0.0571278
  52. ema21 - 0.0569567
  53. ema50 - 0.056969
  54. ema100 - 0.0572166
  55. price_ema9_diff - 0.00406449
  56. ema9_ema21_diff - 0.00300368
  57. ema21_ema50_diff - -0.000216564
  58. price_ema100_diff - 0.00250541
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.0878501
  62. ema_slope_21 - 0.0467563
  63. ema_slope_50 - 0.00931052
  64. ema_slope_100 - -0.00618749
  65. rsi - 0.711996
  66. adx - 0.265247
  67. kc_percentage - 1.21471
  68. kc_width_percentage - 0.00965697
  69. volume_ema_diff - -0.786881
  70. volume_ema1 - 2069.2708927925
  71. volume_ema2 - 9709.4986543282
  72. chop - 31.1456
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 112549
  77. 5m_price_ema100_diff: 0.00164399
  78. 5m_price: 112734
  79. 5m_correlation_with_coin: 0.502759
  80. btc_indicators
  81. 15m_ema100: 113284
  82. 15m_price_ema100_diff: -0.00485915
  83. 15m_price: 112734
  84. 15m_correlation_with_coin: -0.01209
  85. btc_indicators
  86. 1H_ema100: 115033
  87. 1H_price_ema100_diff: -0.01999
  88. 1H_price: 112734
  89. 1H_correlation_with_coin: 0.014296
    90. ¸

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:21:41		 22 Sep 2025
17:30:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05736 0.05758 0.05693 1.95 0.03159
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 0.05736
  • Stop Loss: 0.05758
  • Take Profit: 0.05693

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05758 - 0.05736 = 0.00022

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05736 - 0.05693 = 0.00043

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00043 / 0.00022 = 1.9545

📌 Position Size

Amount Margin Quantity Leverage
2120.1547 100 36962.2507 21.20
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 0.00022

Taille de position = 8 / 0.00022 = 36363.64

Taille de position USD = 36363.64 x 0.05736 = 2085.82

Donc, tu peux acheter 36363.64 avec un stoploss a 0.05758

Avec un position size USD de 2085.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 36363.64 x 0.00022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 36363.64 x 0.00043 = 15.64

Si Take Profit atteint, tu gagneras 15.64$

Résumé

  • Taille de position 36363.64
  • Taille de position USD 2085.82
  • Perte potentielle 8
  • Gain potentiel 15.64
  • Risk-Reward Ratio 1.9545

📌 Peformances

TP % Target TP $ Target
0.75 % 15.89 $
SL % Target SL $ Target
0.38 % 8.13 $
PNL PNL %
-8.13 $ -0.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3835 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05693
            [entry_price] => 0.05736
            [stop_loss] => 0.057602
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05693
            [entry_price] => 0.05736
            [stop_loss] => 0.057624
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 19:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05693
            [entry_price] => 0.05736
            [stop_loss] => 0.057646
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 19:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05693
            [entry_price] => 0.05736
            [stop_loss] => 0.05769
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 19:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.9999999999999E-5
            [max_drawdown] => 0.0003
            [rr_ratio] => 0.07
            [high] => 0.05766000
            [low] => 0.05734000
            [mfe_pct] => 0.03
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:21:41-04:00
            [end_at] => 2025-09-22T19:21:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0009
            [max_drawdown] => 0.00059
            [rr_ratio] => 1.53
            [high] => 0.05795000
            [low] => 0.05646000
            [mfe_pct] => 1.57
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 1.53
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:21:41-04:00
            [end_at] => 2025-09-23T00:21:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05749000
            [high_after] => 0.05795000
            [low_before] => 0.05619000
            [low_after] => 0.05646000
            [is_new_high] => 
            [is_new_low] => 
        )

)