Short Trade on ALGO 22 Jul 2025 at 06:57:35

Take profit at 0.2859 (1.04 %) and Stop Loss at 0.2909 (0.69 %)

Short Trade on ALGO

The 22 Jul 2025 at 06:57:35

With 3982.6434 ALGO at 0.2889$ per unit.

Position size of 1150.5857 $

Take profit at 0.2859 (1.04 %) and Stop Loss at 0.2909 (0.69 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 80
ML Pullback Score: 2.45
Prediction Score: 0.4
Prediction 1 Probability
Strong Trade
0.51
Prediction 2 Probability
0 0.43
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.830061

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.001339144096
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.288768
  4. ema21 : 0.292663
  5. ema50 : 0.295777
  6. ema100 : 0.297808
  7. price_ema9_diff : 0.00045689
  8. ema9_ema21_diff : -0.0133094
  9. ema21_ema50_diff : -0.0105298
  10. price_ema100_diff : -0.0299135
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.433365
  14. kc_percentage : 0.357898
  15. kc_width_percentage : 0.0859128
  16. volume_ema_diff : 0.0269538
  17. volume_ema1 : 1416437.3845929
  18. volume_ema2 : 1379260.9449195
  19. ¸
  20. 15m
  21. ema9 : 0.285866
  22. ema21 : 0.286694
  23. ema50 : 0.290182
  24. ema100 : 0.294314
  25. price_ema9_diff : 0.0106115
  26. ema9_ema21_diff : -0.00288859
  27. ema21_ema50_diff : -0.0120181
  28. price_ema100_diff : -0.0183959
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.48709
  32. kc_percentage : 0.721946
  33. kc_width_percentage : 0.0361478
  34. volume_ema_diff : -0.526646
  35. volume_ema1 : 178780.68517636
  36. volume_ema2 : 377689.53548348
  37. ¸
  38. 5m
  39. ema9 : 0.287345
  40. ema21 : 0.286257
  41. ema50 : 0.286376
  42. ema100 : 0.288184
  43. price_ema9_diff : 0.00540895
  44. ema9_ema21_diff : 0.00380126
  45. ema21_ema50_diff : -0.000413918
  46. price_ema100_diff : 0.00248113
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.628351
  50. kc_percentage : 1.00355
  51. kc_width_percentage : 0.0178371
  52. volume_ema_diff : -0.696725
  53. volume_ema1 : 33452.924543892
  54. volume_ema2 : 110305.75448417
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    117872
  59. 5m_price_ema100_diff:
    0.00855371
  60. 5m_price:
    118880
  61. 5m_correlation_with_coin:
    0.830061
  62. btc_indicators
  63. 15m_ema100:
    117841
  64. 15m_price_ema100_diff:
    0.00722102
  65. 15m_price:
    118692
  66. btc_indicators
  67. 1H_ema100:
    118123
  68. 1H_price_ema100_diff:
    0.00640887
  69. 1H_price:
    118880
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Jul 2025
06:57:35
22 Jul 2025
09:30:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2889 0.2909 0.2859 1.5 0.0868
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 0.2889
  • Stop Loss: 0.2909
  • Take Profit: 0.2859

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2909 - 0.2889 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2889 - 0.2859 = 0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.003 / 0.002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1150.5857 100 3982.6434 11.51
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.2889 = 1155.6

Donc, tu peux acheter 4000 avec un stoploss a 0.2909

Avec un position size USD de 1155.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 4000
  • Taille de position USD 1155.6
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.04 % 11.95 $
SL % Target SL $ Target
0.69 % 7.97 $
PNL PNL %
11.95 $ 1.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5192 % 75 % 18

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2849
            [stop_loss] => 0.2909
            [rr_ratio] => 2
            [closed_at] => 2025-07-22 09:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2839
            [stop_loss] => 0.2909
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-22 09:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2829
            [stop_loss] => 0.2909
            [rr_ratio] => 3
            [closed_at] => 2025-07-22 09:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2819
            [stop_loss] => 0.2909
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-22 10:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2809
            [stop_loss] => 0.2909
            [rr_ratio] => 4
            [closed_at] => 2025-07-22 10:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2799
            [stop_loss] => 0.2909
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-22 11:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2789
            [stop_loss] => 0.2909
            [rr_ratio] => 5
            [closed_at] => 2025-07-22 11:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.2779
            [stop_loss] => 0.2909
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-22 11:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2769
            [stop_loss] => 0.2909
            [rr_ratio] => 6
            [closed_at] => 2025-07-22 11:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.2759
            [stop_loss] => 0.2909
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-22 11:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2749
            [stop_loss] => 0.2909
            [rr_ratio] => 7
            [closed_at] => 2025-07-22 11:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0024
            [max_drawdown] => 0.0015
            [rr_ratio] => 1.6
            [high] => 0.29040000
            [low] => 0.28650000
            [mfe_pct] => 0.83
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 1.6
            [candles_analyzed] => 24
            [start_at] => 2025-07-22T06:57:35-04:00
            [end_at] => 2025-07-22T08:57:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0084
            [max_drawdown] => 0.0043
            [rr_ratio] => 1.95
            [high] => 0.29320000
            [low] => 0.28050000
            [mfe_pct] => 2.91
            [mae_pct] => 1.49
            [mfe_mae_ratio] => 1.95
            [candles_analyzed] => 72
            [start_at] => 2025-07-22T06:57:35-04:00
            [end_at] => 2025-07-22T12:57:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29220000
            [high_after] => 0.29320000
            [low_before] => 0.27940000
            [low_after] => 0.28050000
            [is_new_high] => 
            [is_new_low] => 
        )

)