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Short Trade on ALGO

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Short Trade on ALGO 22 Sep 2025 at 18:22:02

Take profit at 0.2123 (0.52 %) and Stop Loss at 0.2139 (0.23 %)

Short Trade on ALGO

The 22 Sep 2025 at 18:22:02

With 14647.5026 ALGO at 0.2134$ per unit.

Position size of 3125.7771 $

Take profit at 0.2123 (0.52 %) and Stop Loss at 0.2139 (0.23 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.17
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.52
Prediction 3 Probability
1 0.87
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 : bull_low
BTC Correlation Score

5m : 0.474721

15m : 0.006857

1H : -0.117466

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.0003641121276
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 0.212473
  4. ema21 : 0.215534
  5. ema50 : 0.22272
  6. ema100 : 0.229819
  7. price_ema9_diff : 0.00435993
  8. ema9_ema21_diff : -0.0142034
  9. ema21_ema50_diff : -0.0322639
  10. price_ema100_diff : -0.0714453
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.164524
  14. ema_slope_21 : -0.271988
  15. ema_slope_50 : -0.236297
  16. ema_slope_100 : -0.16984
  17. rsi : 0.386989
  18. adx : 0.669913
  19. kc_percentage : 0.306883
  20. kc_width_percentage : 0.0445086
  21. volume_ema_diff : -0.567172
  22. volume_ema1 : 208073.84256299
  23. volume_ema2 : 480731.13759686
  24. chop : 70.4545
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.212334
  28. ema21 : 0.211781
  29. ema50 : 0.21296
  30. ema100 : 0.216716
  31. price_ema9_diff : 0.00501926
  32. ema9_ema21_diff : 0.00261146
  33. ema21_ema50_diff : -0.00553847
  34. price_ema100_diff : -0.0153018
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0761019
  38. ema_slope_21 : 0.0193572
  39. ema_slope_50 : -0.0285636
  40. ema_slope_100 : -0.0521778
  41. rsi : 0.625595
  42. adx : 0.311377
  43. kc_percentage : 1.01966
  44. kc_width_percentage : 0.0145393
  45. volume_ema_diff : -0.677131
  46. volume_ema1 : 32716.753622448
  47. volume_ema2 : 101331.66503081
  48. chop : 40.7102
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.212989
  52. ema21 : 0.21236
  53. ema50 : 0.21173
  54. ema100 : 0.211959
  55. price_ema9_diff : 0.00192964
  56. ema9_ema21_diff : 0.00295799
  57. ema21_ema50_diff : 0.00297839
  58. price_ema100_diff : 0.00679641
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.059108
  62. ema_slope_21 : 0.0514676
  63. ema_slope_50 : 0.0285242
  64. ema_slope_100 : 0.00979123
  65. rsi : 0.69554
  66. adx : 0.323449
  67. kc_percentage : 1.241
  68. kc_width_percentage : 0.00628685
  69. volume_ema_diff : -0.584122
  70. volume_ema1 : 8293.3710454603
  71. volume_ema2 : 19941.870248667
  72. chop : 38.5306
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112656
  77. 5m_price_ema100_diff: 
    0.000203129
  78. 5m_price: 
    112679
  79. 5m_correlation_with_coin: 
    0.474721
  80. btc_indicators
  81. 15m_ema100: 
    113248
  82. 15m_price_ema100_diff: 
    -0.00502917
  83. 15m_price: 
    112679
  84. 15m_correlation_with_coin: 
    0.006857
  85. btc_indicators
  86. 1H_ema100: 
    114942
  87. 1H_price_ema100_diff: 
    -0.0196917
  88. 1H_price: 
    112679
  89. 1H_correlation_with_coin: 
    -0.117466
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
18:22:02		 22 Sep 2025
19:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2134 0.2139 0.2123 2.2 0.0886
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 0.2134
  • Stop Loss: 0.2139
  • Take Profit: 0.2123

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2139 - 0.2134 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2134 - 0.2123 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.0005 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
3125.7771 100 14647.5026 31.26
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.2134 = 3414.4

Donc, tu peux acheter 16000 avec un stoploss a 0.2139

Avec un position size USD de 3414.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.0011 = 17.6

Si Take Profit atteint, tu gagneras 17.6$

Résumé

  • Taille de position 16000
  • Taille de position USD 3414.4
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
0.52 % 16.11 $
SL % Target SL $ Target
0.23 % 7.32 $
PNL PNL %
-7.32 $ -0.23
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.328 % 139.99 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2123
            [entry_price] => 0.2134
            [stop_loss] => 0.21395
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 19:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2123
            [entry_price] => 0.2134
            [stop_loss] => 0.214
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 19:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2123
            [entry_price] => 0.2134
            [stop_loss] => 0.21405
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 19:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2123
            [entry_price] => 0.2134
            [stop_loss] => 0.21415
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 20:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0008
            [max_drawdown] => 0.0012
            [rr_ratio] => 0.67
            [high] => 0.21460000
            [low] => 0.21260000
            [mfe_pct] => 0.37
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 0.67
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T18:22:02-04:00
            [end_at] => 2025-09-22T20:22:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0041
            [max_drawdown] => 0.0015
            [rr_ratio] => 2.73
            [high] => 0.21490000
            [low] => 0.20930000
            [mfe_pct] => 1.92
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 2.73
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T18:22:02-04:00
            [end_at] => 2025-09-23T01:22:02-04:00
        )

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

)