Short Trade on ALGO 04 Sep 2025 at 18:31:00

Take profit at 0.2275 (0.44 %) and Stop Loss at 0.229 (0.22 %)

Short Trade on ALGO

The 04 Sep 2025 at 18:31:00

With 16277.9377 ALGO at 0.2285$ per unit.

Position size of 3719.5088 $

Take profit at 0.2275 (0.44 %) and Stop Loss at 0.229 (0.22 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.18
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.688432

15m : -0.138748

1H : 0.032511

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0003276418327
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.227489
  4. ema21 : 0.228612
  5. ema50 : 0.230166
  6. ema100 : 0.231194
  7. price_ema9_diff : 0.00444271
  8. ema9_ema21_diff : -0.00491314
  9. ema21_ema50_diff : -0.0067524
  10. price_ema100_diff : -0.0116553
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0951315
  14. ema_slope_21 : -0.097079
  15. ema_slope_50 : -0.0602462
  16. ema_slope_100 : -0.0360518
  17. rsi : 0.472219
  18. adx : 0.280642
  19. kc_percentage : 0.497069
  20. kc_width_percentage : 0.0308541
  21. volume_ema_diff : -0.459729
  22. volume_ema1 : 118722.10991789
  23. volume_ema2 : 219745.69140409
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.227734
  28. ema21 : 0.227273
  29. ema50 : 0.227777
  30. ema100 : 0.229141
  31. price_ema9_diff : 0.00336106
  32. ema9_ema21_diff : 0.00202934
  33. ema21_ema50_diff : -0.00221297
  34. price_ema100_diff : -0.00279829
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0586791
  38. ema_slope_21 : 0.0214422
  39. ema_slope_50 : -0.00860442
  40. ema_slope_100 : -0.0177364
  41. rsi : 0.607256
  42. adx : 0.240031
  43. kc_percentage : 0.922581
  44. kc_width_percentage : 0.0126099
  45. volume_ema_diff : -0.612958
  46. volume_ema1 : 17036.346532984
  47. volume_ema2 : 44016.803454618
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 0.228141
  52. ema21 : 0.227693
  53. ema50 : 0.22717
  54. ema100 : 0.227002
  55. price_ema9_diff : 0.00157104
  56. ema9_ema21_diff : 0.00196718
  57. ema21_ema50_diff : 0.00230184
  58. price_ema100_diff : 0.00659863
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0406857
  62. ema_slope_21 : 0.0319122
  63. ema_slope_50 : 0.0196477
  64. ema_slope_100 : 0.0100976
  65. rsi : 0.662236
  66. adx : 0.190905
  67. kc_percentage : 1.10288
  68. kc_width_percentage : 0.00562914
  69. volume_ema_diff : -0.301508
  70. volume_ema1 : 7494.1209778464
  71. volume_ema2 : 10729.002986797
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110073
  77. 5m_price_ema100_diff:
    0.006222
  78. 5m_price:
    110758
  79. 5m_correlation_with_coin:
    0.688432
  80. btc_indicators
  81. 15m_ema100:
    110603
  82. 15m_price_ema100_diff:
    0.00140432
  83. 15m_price:
    110758
  84. 15m_correlation_with_coin:
    -0.138748
  85. btc_indicators
  86. 1H_ema100:
    110321
  87. 1H_price_ema100_diff:
    0.00396481
  88. 1H_price:
    110758
  89. 1H_correlation_with_coin:
    0.032511
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
18:31:00
04 Sep 2025
18:55:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2285 0.229 0.2275 2 0.0871
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 0.2285
  • Stop Loss: 0.229
  • Take Profit: 0.2275

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.229 - 0.2285 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2285 - 0.2275 = 0.001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.001 / 0.0005 = 2

📌 Position Size

Amount Margin Quantity Leverage
3719.5088 100 16277.9377 37.20
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 0.2285 = 3656

Donc, tu peux acheter 16000 avec un stoploss a 0.229

Avec un position size USD de 3656$

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 0.001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 16000
  • Taille de position USD 3656
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.44 % 16.28 $
SL % Target SL $ Target
0.22 % 8.14 $
PNL PNL %
-8.14 $ -0.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5689 % 260.01 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2275
            [entry_price] => 0.2285
            [stop_loss] => 0.22905
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2275
            [entry_price] => 0.2285
            [stop_loss] => 0.2291
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2275
            [entry_price] => 0.2285
            [stop_loss] => 0.22915
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2275
            [entry_price] => 0.2285
            [stop_loss] => 0.22925
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0015
            [max_drawdown] => 0.0015
            [rr_ratio] => 1
            [high] => 0.23000000
            [low] => 0.22700000
            [mfe_pct] => 0.66
            [mae_pct] => 0.66
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T18:31:00-04:00
            [end_at] => 2025-09-04T20:31:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0016
            [max_drawdown] => 0.0025
            [rr_ratio] => 0.64
            [high] => 0.23100000
            [low] => 0.22690000
            [mfe_pct] => 0.7
            [mae_pct] => 1.09
            [mfe_mae_ratio] => 0.64
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T18:31:00-04:00
            [end_at] => 2025-09-05T01:31:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22880000
            [high_after] => 0.23050000
            [low_before] => 0.22490000
            [low_after] => 0.22690000
            [is_new_high] => 
            [is_new_low] => 
        )

)