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Short Trade on ALGO

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Short Trade on ALGO 20 Sep 2025 at 02:09:16

Take profit at 0.2352 (0.47 %) and Stop Loss at 0.2368 (0.21 %)

Short Trade on ALGO

The 20 Sep 2025 at 02:09:16

With 14769.0858 ALGO at 0.2363$ per unit.

Position size of 3489.935 $

Take profit at 0.2352 (0.47 %) and Stop Loss at 0.2368 (0.21 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.49
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.64
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.690188

15m : -0.051523

1H : 0.039005

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0003611146545
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.235675
  4. ema21 : 0.237131
  5. ema50 : 0.239266
  6. ema100 : 0.238912
  7. price_ema9_diff : 0.00264841
  8. ema9_ema21_diff : -0.00614017
  9. ema21_ema50_diff : -0.00892035
  10. price_ema100_diff : -0.0109354
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.106114
  14. ema_slope_21 : -0.132327
  15. ema_slope_50 : -0.0838147
  16. ema_slope_100 : -0.0338757
  17. rsi : 0.436351
  18. adx : 0.468217
  19. kc_percentage : 0.407692
  20. kc_width_percentage : 0.0319414
  21. volume_ema_diff : -0.702169
  22. volume_ema1 : 79612.392645832
  23. volume_ema2 : 267307.79921958
  24. chop : 59.4746
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.235575
  28. ema21 : 0.235111
  29. ema50 : 0.235679
  30. ema100 : 0.237155
  31. price_ema9_diff : 0.00307717
  32. ema9_ema21_diff : 0.00197287
  33. ema21_ema50_diff : -0.00241231
  34. price_ema100_diff : -0.0036091
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0475103
  38. ema_slope_21 : 0.0167754
  39. ema_slope_50 : -0.0111211
  40. ema_slope_100 : -0.0194636
  41. rsi : 0.583611
  42. adx : 0.260961
  43. kc_percentage : 0.880705
  44. kc_width_percentage : 0.0131112
  45. volume_ema_diff : -0.604532
  46. volume_ema1 : 17304.90000071
  47. volume_ema2 : 43758.135593701
  48. chop : 55.044
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 0.236069
  52. ema21 : 0.235538
  53. ema50 : 0.235003
  54. ema100 : 0.234923
  55. price_ema9_diff : 0.000974422
  56. ema9_ema21_diff : 0.00225683
  57. ema21_ema50_diff : 0.00227659
  58. price_ema100_diff : 0.00586076
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0494886
  62. ema_slope_21 : 0.0372058
  63. ema_slope_50 : 0.0206663
  64. ema_slope_100 : 0.00955943
  65. rsi : 0.638453
  66. adx : 0.225311
  67. kc_percentage : 1.02221
  68. kc_width_percentage : 0.00588819
  69. volume_ema_diff : -0.365707
  70. volume_ema1 : 5025.1576096429
  71. volume_ema2 : 7922.4579841475
  72. chop : 33.8137
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    115503
  77. 5m_price_ema100_diff: 
    0.000961232
  78. 5m_price: 
    115614
  79. 5m_correlation_with_coin: 
    0.690188
  80. btc_indicators
  81. 15m_ema100: 
    115844
  82. 15m_price_ema100_diff: 
    -0.00198854
  83. 15m_price: 
    115614
  84. 15m_correlation_with_coin: 
    -0.051523
  85. btc_indicators
  86. 1H_ema100: 
    116168
  87. 1H_price_ema100_diff: 
    -0.00477472
  88. 1H_price: 
    115614
  89. 1H_correlation_with_coin: 
    0.039005
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Sep 2025
02:09:16		 20 Sep 2025
02:35:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2363 0.2368 0.2352 2.2 0.0883
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 0.2363
  • Stop Loss: 0.2368
  • Take Profit: 0.2352

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2368 - 0.2363 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2363 - 0.2352 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.0005 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
3489.935 100 14769.0858 34.90
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 0.2363 = 3780.8

Donc, tu peux acheter 16000 avec un stoploss a 0.2368

Avec un position size USD de 3780.8$

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 3780.8
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
0.47 % 16.25 $
SL % Target SL $ Target
0.21 % 7.38 $
PNL PNL %
-7.38 $ -0.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2539 % 119.99 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2352
            [entry_price] => 0.2363
            [stop_loss] => 0.23685
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 02:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2352
            [entry_price] => 0.2363
            [stop_loss] => 0.2369
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 02:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2352
            [entry_price] => 0.2363
            [stop_loss] => 0.23695
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 02:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2352
            [entry_price] => 0.2363
            [stop_loss] => 0.23705
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 03:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0014
            [rr_ratio] => 0.36
            [high] => 0.23770000
            [low] => 0.23580000
            [mfe_pct] => 0.21
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T02:09:16-04:00
            [end_at] => 2025-09-20T04:09:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0028
            [max_drawdown] => 0.0014
            [rr_ratio] => 2
            [high] => 0.23770000
            [low] => 0.23350000
            [mfe_pct] => 1.18
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T02:09:16-04:00
            [end_at] => 2025-09-20T09:09:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23670000
            [high_after] => 0.23770000
            [low_before] => 0.23240000
            [low_after] => 0.23350000
            [is_new_high] => 
            [is_new_low] => 
        )

)