Short Trade on ALGO 22 Sep 2025 at 16:58:29

Take profit at 0.2103 (0.71 %) and Stop Loss at 0.2125 (0.33 %)

Short Trade on ALGO

The 22 Sep 2025 at 16:58:29

With 10870.0756 ALGO at 0.2118$ per unit.

Position size of 2302.282 $

Take profit at 0.2103 (0.71 %) and Stop Loss at 0.2125 (0.33 %)

That's a 2.14 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.77
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
1 0.53
Prediction 3 Probability
1 0.78
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.547111

15m : 0.011725

1H : -0.033825

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0004906436276
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.211977
  4. ema21 : 0.215993
  5. ema50 : 0.223516
  6. ema100 : 0.230593
  7. price_ema9_diff : -0.00083756
  8. ema9_ema21_diff : -0.0185923
  9. ema21_ema50_diff : -0.0336564
  10. price_ema100_diff : -0.081501
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.280601
  14. ema_slope_21 : -0.336165
  15. ema_slope_50 : -0.258818
  16. ema_slope_100 : -0.17896
  17. rsi : 0.33338
  18. adx : 0.695257
  19. kc_percentage : 0.129775
  20. kc_width_percentage : 0.0491152
  21. volume_ema_diff : -0.30706
  22. volume_ema1 : 357642.64671433
  23. volume_ema2 : 516124.15170425
  24. chop : 72.1478
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.210605
  29. ema21 : 0.210959
  30. ema50 : 0.212983
  31. ema100 : 0.217082
  32. price_ema9_diff : 0.00567275
  33. ema9_ema21_diff : -0.00167793
  34. ema21_ema50_diff : -0.00950629
  35. price_ema100_diff : -0.0243352
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0272329
  39. ema_slope_21 : -0.0473479
  40. ema_slope_50 : -0.0632529
  41. ema_slope_100 : -0.0697963
  42. rsi : 0.494162
  43. adx : 0.403209
  44. kc_percentage : 0.74277
  45. kc_width_percentage : 0.0172501
  46. volume_ema_diff : -0.473133
  47. volume_ema1 : 62703.703409188
  48. volume_ema2 : 119012.61876598
  49. chop : 60.0366
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.211183
  54. ema21 : 0.210723
  55. ema50 : 0.210808
  56. ema100 : 0.211273
  57. price_ema9_diff : 0.00291934
  58. ema9_ema21_diff : 0.00218073
  59. ema21_ema50_diff : -0.000400847
  60. price_ema100_diff : 0.00249187
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0584352
  64. ema_slope_21 : 0.0278145
  65. ema_slope_50 : 0.00289954
  66. ema_slope_100 : -0.00420139
  67. rsi : 0.666742
  68. adx : 0.250618
  69. kc_percentage : 1.0525
  70. kc_width_percentage : 0.00904549
  71. volume_ema_diff : -0.281605
  72. volume_ema1 : 20235.146513148
  73. volume_ema2 : 28167.184788857
  74. chop : 35.7876
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112506
  80. 5m_price_ema100_diff:
    0.0023984
  81. 5m_price:
    112776
  82. 5m_correlation_with_coin:
    0.547111
  83. btc_indicators
  84. 15m_ema100:
    113306
  85. 15m_price_ema100_diff:
    -0.00635826
  86. 15m_price:
    112586
  87. 15m_correlation_with_coin:
    0.011725
  88. btc_indicators
  89. 1H_ema100:
    115050
  90. 1H_price_ema100_diff:
    -0.019768
  91. 1H_price:
    112776
  92. 1H_correlation_with_coin:
    -0.033825
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:58:29
22 Sep 2025
17:35:00
36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2118 0.2125 0.2103 2.14 0.0822
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 0.2118
  • Stop Loss: 0.2125
  • Take Profit: 0.2103

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2125 - 0.2118 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2118 - 0.2103 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00070000000000001 = 2.1429

📌 Position Size

Amount Margin Quantity Leverage
2302.282 100 10870.0756 23.02
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 0.2118 = 2420.57

Donc, tu peux acheter 11428.57 avec un stoploss a 0.2125

Avec un position size USD de 2420.57$

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 0.0015 = 17.14

Si Take Profit atteint, tu gagneras 17.14$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 2420.57
  • Perte potentielle 8
  • Gain potentiel 17.14
  • Risk-Reward Ratio 2.1429

📌 Peformances

TP % Target TP $ Target
0.71 % 16.31 $
SL % Target SL $ Target
0.33 % 7.61 $
PNL PNL %
-7.61 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4249 % 128.56 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2103
            [entry_price] => 0.2118
            [stop_loss] => 0.21257
            [rr_ratio] => 1.95
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2103
            [entry_price] => 0.2118
            [stop_loss] => 0.21264
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2103
            [entry_price] => 0.2118
            [stop_loss] => 0.21271
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2103
            [entry_price] => 0.2118
            [stop_loss] => 0.21285
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00059999999999999
            [max_drawdown] => 0.0017
            [rr_ratio] => 0.35
            [high] => 0.21350000
            [low] => 0.21120000
            [mfe_pct] => 0.28
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:58:29-04:00
            [end_at] => 2025-09-22T18:58:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0025
            [max_drawdown] => 0.0031
            [rr_ratio] => 0.81
            [high] => 0.21490000
            [low] => 0.20930000
            [mfe_pct] => 1.18
            [mae_pct] => 1.46
            [mfe_mae_ratio] => 0.81
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:58:29-04:00
            [end_at] => 2025-09-22T23:58:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.21190000
            [high_after] => 0.21490000
            [low_before] => 0.20880000
            [low_after] => 0.21040000
            [is_new_high] => 
            [is_new_low] => 
        )

)