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Short Trade on ALGO

Short Trade on ALGO

The 21 Nov 2025 at 19:02:15

With 9181.058 ALGO at 0.137$ per unit.

Position size of 1257.8049 $

Take profit at 0.1353 (1.24 %) and Stop Loss at 0.1379 (0.66 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 2.03
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.96
Prediction 2 Probability
0 0.9
Prediction 3 Probability
0 0.96
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.846359

15m : -0.003828

1H : 0.029477

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.000580906181
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.13663
  4. ema21 - 0.138267
  5. ema50 - 0.142618
  6. ema100 - 0.146441
  7. price_ema9_diff - 0.0027018
  8. ema9_ema21_diff - -0.0118371
  9. ema21_ema50_diff - -0.0305082
  10. price_ema100_diff - -0.0644713
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.0684953
  14. ema_slope_21 - -0.191627
  15. ema_slope_50 - -0.202925
  16. ema_slope_100 - -0.145087
  17. rsi - 0.448275
  18. adx - 0.560509
  19. kc_percentage - 0.410731
  20. kc_width_percentage - 0.0900061
  21. volume_ema_diff - -0.409265
  22. volume_ema1 - 134067.57785269
  23. volume_ema2 - 226950.69414722
  24. chop - 59.722
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.136093
  28. ema21 - 0.136266
  29. ema50 - 0.136952
  30. ema100 - 0.138577
  31. price_ema9_diff - 0.00666259
  32. ema9_ema21_diff - -0.0012741
  33. ema21_ema50_diff - -0.0050064
  34. price_ema100_diff - -0.011382
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.014642
  38. ema_slope_21 - -0.0329406
  39. ema_slope_50 - -0.0344617
  40. ema_slope_100 - -0.0411492
  41. rsi - 0.530434
  42. adx - 0.143107
  43. kc_percentage - 0.656888
  44. kc_width_percentage - 0.0349903
  45. volume_ema_diff - -0.400799
  46. volume_ema1 - 33806.593085559
  47. volume_ema2 - 56419.498979752
  48. chop - 53.2402
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.13625
  52. ema21 - 0.135866
  53. ema50 - 0.136066
  54. ema100 - 0.136333
  55. price_ema9_diff - 0.0054984
  56. ema9_ema21_diff - 0.00283002
  57. ema21_ema50_diff - -0.0014675
  58. price_ema100_diff - 0.00489175
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.102759
  62. ema_slope_21 - 0.0244867
  63. ema_slope_50 - -0.00723567
  64. ema_slope_100 - -0.00875105
  65. rsi - 0.625524
  66. adx - 0.213788
  67. kc_percentage - 1.01661
  68. kc_width_percentage - 0.0159215
  69. volume_ema_diff - -0.225124
  70. volume_ema1 - 12242.319924024
  71. volume_ema2 - 15799.086979554
  72. chop - 31.3775
  73. regime - range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 84412.6
  77. 5m_price_ema100_diff: 0.00796867
  78. 5m_price: 85085.3
  79. 5m_correlation_with_coin: 0.846359
  80. btc_indicators
  81. 15m_ema100: 84812.2
  82. 15m_price_ema100_diff: 0.00321905
  83. 15m_price: 85085.3
  84. 15m_correlation_with_coin: -0.003828
  85. btc_indicators
  86. 1H_ema100: 88445.2
  87. 1H_price_ema100_diff: -0.0379888
  88. 1H_price: 85085.3
  89. 1H_correlation_with_coin: 0.029477
    90. ¸

📌 Time Data

Start at Closed at Duration
21 Nov 2025
19:02:15		 21 Nov 2025
20:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.137 0.1379 0.1353 1.89 0.1157
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 0.137
  • Stop Loss: 0.1379
  • Take Profit: 0.1353

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1379 - 0.137 = 0.00089999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.137 - 0.1353 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00089999999999998 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
1257.8049 100 9181.058 12.58
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 0.00089999999999998

Taille de position = 8 / 0.00089999999999998 = 8888.89

Taille de position USD = 8888.89 x 0.137 = 1217.78

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1379

Avec un position size USD de 1217.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00089999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1217.78
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
1.24 % 15.61 $
SL % Target SL $ Target
0.66 % 8.26 $
PNL PNL %
-8.26 $ -0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9489 % 144.45 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1353
            [entry_price] => 0.137
            [stop_loss] => 0.13799
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-21 20:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1353
            [entry_price] => 0.137
            [stop_loss] => 0.13808
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-21 20:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1353
            [entry_price] => 0.137
            [stop_loss] => 0.13817
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-21 20:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1353
            [entry_price] => 0.137
            [stop_loss] => 0.13835
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-21 23:10:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00090000000000001
            [max_drawdown] => 0.0013
            [rr_ratio] => 0.69
            [high] => 0.13830000
            [low] => 0.13610000
            [mfe_pct] => 0.66
            [mae_pct] => 0.95
            [mfe_mae_ratio] => 0.69
            [candles_analyzed] => 24
            [start_at] => 2025-11-21T19:02:15-05:00
            [end_at] => 2025-11-21T21:02:15-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0032
            [max_drawdown] => 0.0013
            [rr_ratio] => 2.46
            [high] => 0.13830000
            [low] => 0.13380000
            [mfe_pct] => 2.34
            [mae_pct] => 0.95
            [mfe_mae_ratio] => 2.46
            [candles_analyzed] => 84
            [start_at] => 2025-11-21T19:02:15-05:00
            [end_at] => 2025-11-22T02:02:15-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13780000
            [high_after] => 0.13830000
            [low_before] => 0.13290000
            [low_after] => 0.13380000
            [is_new_high] => 
            [is_new_low] => 
        )

)