Short Trade on ALGO 06 Oct 2025 at 02:15:42

Take profit at 0.2176 (0.64 %) and Stop Loss at 0.2197 (0.32 %)

Short Trade on ALGO

The 06 Oct 2025 at 02:15:42

With 11200.7476 ALGO at 0.219$ per unit.

Position size of 2452.9637 $

Take profit at 0.2176 (0.64 %) and Stop Loss at 0.2197 (0.32 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.4
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.868295

15m : -0.001122

1H : 0.045875

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0004761586911
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.21877
  4. ema21 : 0.219994
  5. ema50 : 0.221135
  6. ema100 : 0.221932
  7. price_ema9_diff : 0.0010497
  8. ema9_ema21_diff : -0.00556359
  9. ema21_ema50_diff : -0.0051616
  10. price_ema100_diff : -0.0132135
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.15432
  14. ema_slope_21 : -0.114593
  15. ema_slope_50 : -0.0582991
  16. ema_slope_100 : -0.0335571
  17. rsi : 0.448208
  18. adx : 0.269308
  19. kc_percentage : 0.389232
  20. kc_width_percentage : 0.0378867
  21. volume_ema_diff : -0.393904
  22. volume_ema1 : 191644.48583795
  23. volume_ema2 : 316194.99209129
  24. chop : 53.798
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.21812
  29. ema21 : 0.218315
  30. ema50 : 0.219337
  31. ema100 : 0.221121
  32. price_ema9_diff : 0.00403433
  33. ema9_ema21_diff : -0.000896145
  34. ema21_ema50_diff : -0.00465932
  35. price_ema100_diff : -0.00959493
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0316766
  39. ema_slope_21 : -0.0274361
  40. ema_slope_50 : -0.0318043
  41. ema_slope_100 : -0.0320207
  42. rsi : 0.542148
  43. adx : 0.164623
  44. kc_percentage : 0.699633
  45. kc_width_percentage : 0.0162139
  46. volume_ema_diff : -0.279946
  47. volume_ema1 : 47324.31635802
  48. volume_ema2 : 65723.324633045
  49. chop : 57.2742
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.218131
  54. ema21 : 0.217883
  55. ema50 : 0.218116
  56. ema100 : 0.218469
  57. price_ema9_diff : 0.00398254
  58. ema9_ema21_diff : 0.00113822
  59. ema21_ema50_diff : -0.00107122
  60. price_ema100_diff : 0.00242955
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0326467
  64. ema_slope_21 : 0.00308515
  65. ema_slope_50 : -0.00762784
  66. ema_slope_100 : -0.0074752
  67. rsi : 0.63545
  68. adx : 0.192297
  69. kc_percentage : 1.08815
  70. kc_width_percentage : 0.00866841
  71. volume_ema_diff : -0.285704
  72. volume_ema1 : 14712.901940936
  73. volume_ema2 : 20597.794732469
  74. chop : 36.6714
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    123562
  80. 5m_price_ema100_diff:
    0.00180306
  81. 5m_price:
    123785
  82. 5m_correlation_with_coin:
    0.868295
  83. btc_indicators
  84. 15m_ema100:
    123669
  85. 15m_price_ema100_diff:
    0.000939383
  86. 15m_price:
    123785
  87. 15m_correlation_with_coin:
    -0.001122
  88. btc_indicators
  89. 1H_ema100:
    121944
  90. 1H_price_ema100_diff:
    0.015094
  91. 1H_price:
    123785
  92. 1H_correlation_with_coin:
    0.045875
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Oct 2025
02:15:42
06 Oct 2025
02:25:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.219 0.2197 0.2176 2 0.0894
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 0.219
  • Stop Loss: 0.2197
  • Take Profit: 0.2176

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2197 - 0.219 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.219 - 0.2176 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00070000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2452.9637 100 11200.7476 24.53
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 0.00070000000000001

Taille de position = 8 / 0.00070000000000001 = 11428.57

Taille de position USD = 11428.57 x 0.219 = 2502.86

Donc, tu peux acheter 11428.57 avec un stoploss a 0.2197

Avec un position size USD de 2502.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0014 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 2502.86
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.64 % 15.68 $
SL % Target SL $ Target
0.32 % 7.84 $
PNL PNL %
-7.84 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3653 % 114.3 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2176
            [entry_price] => 0.219
            [stop_loss] => 0.21977
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-06 02:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2176
            [entry_price] => 0.219
            [stop_loss] => 0.21984
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-06 02:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2176
            [entry_price] => 0.219
            [stop_loss] => 0.21991
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-06 02:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2176
            [entry_price] => 0.219
            [stop_loss] => 0.22005
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-06 02:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00090000000000001
            [max_drawdown] => 0.0023
            [rr_ratio] => 0.39
            [high] => 0.22130000
            [low] => 0.21810000
            [mfe_pct] => 0.41
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 24
            [start_at] => 2025-10-06T02:15:42-04:00
            [end_at] => 2025-10-06T04:15:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00090000000000001
            [max_drawdown] => 0.0066
            [rr_ratio] => 0.14
            [high] => 0.22560000
            [low] => 0.21810000
            [mfe_pct] => 0.41
            [mae_pct] => 3.01
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 84
            [start_at] => 2025-10-06T02:15:42-04:00
            [end_at] => 2025-10-06T09:15:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22040000
            [high_after] => 0.22310000
            [low_before] => 0.21630000
            [low_after] => 0.21810000
            [is_new_high] => 
            [is_new_low] => 
        )

)