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Short Trade on ALGO

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Short Trade on ALGO 22 Sep 2025 at 20:24:23

Take profit at 0.2131 (0.56 %) and Stop Loss at 0.2149 (0.28 %)

Short Trade on ALGO

The 22 Sep 2025 at 20:24:23

With 13730.2162 ALGO at 0.2143$ per unit.

Position size of 2942.3853 $

Take profit at 0.2131 (0.56 %) and Stop Loss at 0.2149 (0.28 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 6.22
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.74
Prediction 3 Probability
1 0.6
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : bull_low
BTC Correlation Score

5m : 0.430303

15m : 0.136112

1H : 0.027688

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0003884376802
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.21306
  4. ema21 : 0.215281
  5. ema50 : 0.222056
  6. ema100 : 0.229213
  7. price_ema9_diff : 0.00581654
  8. ema9_ema21_diff : -0.010316
  9. ema21_ema50_diff : -0.0305097
  10. price_ema100_diff : -0.0650653
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0827599
  14. ema_slope_21 : -0.215751
  15. ema_slope_50 : -0.214745
  16. ema_slope_100 : -0.161588
  17. rsi : 0.420217
  18. adx : 0.637961
  19. kc_percentage : 0.418325
  20. kc_width_percentage : 0.0413733
  21. volume_ema_diff : -0.616251
  22. volume_ema1 : 174375.60475271
  23. volume_ema2 : 454400.55070308
  24. chop : 68.543
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.213354
  28. ema21 : 0.212676
  29. ema50 : 0.213072
  30. ema100 : 0.216108
  31. price_ema9_diff : 0.00442931
  32. ema9_ema21_diff : 0.00318799
  33. ema21_ema50_diff : -0.00185398
  34. price_ema100_diff : -0.00836987
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.089329
  38. ema_slope_21 : 0.0608134
  39. ema_slope_50 : 0.00657448
  40. ema_slope_100 : -0.0290046
  41. rsi : 0.633237
  42. adx : 0.259074
  43. kc_percentage : 1.06007
  44. kc_width_percentage : 0.0132362
  45. volume_ema_diff : -0.435269
  46. volume_ema1 : 48704.384838128
  47. volume_ema2 : 86243.661300209
  48. chop : 53.1329
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 0.213752
  52. ema21 : 0.213402
  53. ema50 : 0.212734
  54. ema100 : 0.212297
  55. price_ema9_diff : 0.00256282
  56. ema9_ema21_diff : 0.00163862
  57. ema21_ema50_diff : 0.00313889
  58. price_ema100_diff : 0.00943215
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.029902
  62. ema_slope_21 : 0.0239446
  63. ema_slope_50 : 0.0216292
  64. ema_slope_100 : 0.0139558
  65. rsi : 0.647529
  66. adx : 0.287295
  67. kc_percentage : 1.02629
  68. kc_width_percentage : 0.00772038
  69. volume_ema_diff : 0.134588
  70. volume_ema1 : 20086.123665452
  71. volume_ema2 : 17703.440824962
  72. chop : 35.0006
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112589
  77. 5m_price_ema100_diff: 
    0.000602433
  78. 5m_price: 
    112657
  79. 5m_correlation_with_coin: 
    0.430303
  80. btc_indicators
  81. 15m_ema100: 
    113130
  82. 15m_price_ema100_diff: 
    -0.00474022
  83. 15m_price: 
    112594
  84. 15m_correlation_with_coin: 
    0.136112
  85. btc_indicators
  86. 1H_ema100: 
    114829
  87. 1H_price_ema100_diff: 
    -0.0189093
  88. 1H_price: 
    112657
  89. 1H_correlation_with_coin: 
    0.027688
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
20:24:23		 22 Sep 2025
20:30:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2143 0.2149 0.2131 2 0.086
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 0.2143
  • Stop Loss: 0.2149
  • Take Profit: 0.2131

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2149 - 0.2143 = 0.00060000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2143 - 0.2131 = 0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0012 / 0.00060000000000002 = 2

📌 Position Size

Amount Margin Quantity Leverage
2942.3853 100 13730.2162 29.42
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 0.2143 = 2857.33

Donc, tu peux acheter 13333.33 avec un stoploss a 0.2149

Avec un position size USD de 2857.33$

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 2857.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.56 % 16.48 $
SL % Target SL $ Target
0.28 % 8.24 $
PNL PNL %
-8.24 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.28 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2131
            [entry_price] => 0.2143
            [stop_loss] => 0.21496
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 20:50:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.2131
            [entry_price] => 0.2143
            [stop_loss] => 0.21502
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 20:50:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.2131
            [entry_price] => 0.2143
            [stop_loss] => 0.21508
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 20:50:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.2131
            [entry_price] => 0.2143
            [stop_loss] => 0.2152
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 20:50:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0025
            [max_drawdown] => 0.00060000000000002
            [rr_ratio] => 4.17
            [high] => 0.21490000
            [low] => 0.21180000
            [mfe_pct] => 1.17
            [mae_pct] => 0.28
            [mfe_mae_ratio] => 4.17
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T20:24:23-04:00
            [end_at] => 2025-09-22T22:24:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.005
            [max_drawdown] => 0.0034
            [rr_ratio] => 1.47
            [high] => 0.21770000
            [low] => 0.20930000
            [mfe_pct] => 2.33
            [mae_pct] => 1.59
            [mfe_mae_ratio] => 1.47
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T20:24:23-04:00
            [end_at] => 2025-09-23T03:24:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.21460000
            [high_after] => 0.21490000
            [low_before] => 0.21000000
            [low_after] => 0.20930000
            [is_new_high] => 
            [is_new_low] => 1
        )

)