Short Trade on ALGO 22 Sep 2025 at 18:04:16

Take profit at 0.2116 (0.56 %) and Stop Loss at 0.2134 (0.28 %)

Short Trade on ALGO

The 22 Sep 2025 at 18:04:16

With 12867.8347 ALGO at 0.2128$ per unit.

Position size of 2738.2752 $

Take profit at 0.2116 (0.56 %) and Stop Loss at 0.2134 (0.28 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.12
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.67
Prediction 3 Probability
1 0.79
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.532856

15m : 0.218252

1H : -0.126016

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0004144701464
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.212353
  4. ema21 : 0.21548
  5. ema50 : 0.222697
  6. ema100 : 0.229807
  7. price_ema9_diff : 0.00210202
  8. ema9_ema21_diff : -0.0145107
  9. ema21_ema50_diff : -0.0324066
  10. price_ema100_diff : -0.0740082
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.169137
  14. ema_slope_21 : -0.274028
  15. ema_slope_50 : -0.237152
  16. ema_slope_100 : -0.170262
  17. rsi : 0.373552
  18. adx : 0.669913
  19. kc_percentage : 0.248671
  20. kc_width_percentage : 0.0444461
  21. volume_ema_diff : -0.584441
  22. volume_ema1 : 199345.26524604
  23. volume_ema2 : 479704.2461478
  24. chop : 70.448
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.211992
  29. ema21 : 0.211583
  30. ema50 : 0.212906
  31. ema100 : 0.216623
  32. price_ema9_diff : 0.00380768
  33. ema9_ema21_diff : 0.00193324
  34. ema21_ema50_diff : -0.00621157
  35. price_ema100_diff : -0.0176499
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0554756
  39. ema_slope_21 : 0.00530515
  40. ema_slope_50 : -0.0356991
  41. ema_slope_100 : -0.0548211
  42. rsi : 0.58265
  43. adx : 0.317564
  44. kc_percentage : 0.858279
  45. kc_width_percentage : 0.0159914
  46. volume_ema_diff : -0.619226
  47. volume_ema1 : 39816.477876119
  48. volume_ema2 : 104567.33977968
  49. chop : 41.1933
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.212591
  54. ema21 : 0.211951
  55. ema50 : 0.21144
  56. ema100 : 0.211646
  57. price_ema9_diff : 0.000978828
  58. ema9_ema21_diff : 0.00302124
  59. ema21_ema50_diff : 0.00241475
  60. price_ema100_diff : 0.00544942
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0530628
  64. ema_slope_21 : 0.0457401
  65. ema_slope_50 : 0.0230612
  66. ema_slope_100 : 0.0075019
  67. rsi : 0.641943
  68. adx : 0.292741
  69. kc_percentage : 1.00623
  70. kc_width_percentage : 0.00748683
  71. volume_ema_diff : -0.0746572
  72. volume_ema1 : 21092.695634398
  73. volume_ema2 : 22794.468564677
  74. chop : 39.1596
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112547
  80. 5m_price_ema100_diff:
    0.00168202
  81. 5m_price:
    112737
  82. 5m_correlation_with_coin:
    0.532856
  83. btc_indicators
  84. 15m_ema100:
    113238
  85. 15m_price_ema100_diff:
    -0.00443192
  86. 15m_price:
    112737
  87. 15m_correlation_with_coin:
    0.218252
  88. btc_indicators
  89. 1H_ema100:
    114943
  90. 1H_price_ema100_diff:
    -0.0191995
  91. 1H_price:
    112737
  92. 1H_correlation_with_coin:
    -0.126016
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
18:04:16
22 Sep 2025
18:20:00
15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2128 0.2134 0.2116 2 0.0887
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 0.2128
  • Stop Loss: 0.2134
  • Take Profit: 0.2116

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2134 - 0.2128 = 0.00060000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2128 - 0.2116 = 0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0012 / 0.00060000000000002 = 2

📌 Position Size

Amount Margin Quantity Leverage
2738.2752 100 12867.8347 27.38
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 0.00060000000000002

Taille de position = 8 / 0.00060000000000002 = 13333.33

Taille de position USD = 13333.33 x 0.2128 = 2837.33

Donc, tu peux acheter 13333.33 avec un stoploss a 0.2134

Avec un position size USD de 2837.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00060000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13333.33 x 0.0012 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 2837.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.56 % 15.44 $
SL % Target SL $ Target
0.28 % 7.72 $
PNL PNL %
-7.72 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.282 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2116
            [entry_price] => 0.2128
            [stop_loss] => 0.21346
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 18:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2116
            [entry_price] => 0.2128
            [stop_loss] => 0.21352
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 19:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2116
            [entry_price] => 0.2128
            [stop_loss] => 0.21358
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 19:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2116
            [entry_price] => 0.2128
            [stop_loss] => 0.2137
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 19:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00019999999999998
            [max_drawdown] => 0.0013
            [rr_ratio] => 0.15
            [high] => 0.21410000
            [low] => 0.21260000
            [mfe_pct] => 0.09
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T18:04:16-04:00
            [end_at] => 2025-09-22T20:04:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0035
            [max_drawdown] => 0.0021
            [rr_ratio] => 1.67
            [high] => 0.21490000
            [low] => 0.20930000
            [mfe_pct] => 1.64
            [mae_pct] => 0.99
            [mfe_mae_ratio] => 1.67
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T18:04:16-04:00
            [end_at] => 2025-09-23T01:04:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.21340000
            [high_after] => 0.21490000
            [low_before] => 0.20880000
            [low_after] => 0.20930000
            [is_new_high] => 
            [is_new_low] => 
        )

)