Short Trade on ALGO 04 Oct 2025 at 09:11:31

Take profit at 0.2192 (0.63 %) and Stop Loss at 0.2213 (0.32 %)

Short Trade on ALGO

The 04 Oct 2025 at 09:11:31

With 11175.8666 ALGO at 0.2206$ per unit.

Position size of 2465.3962 $

Take profit at 0.2192 (0.63 %) and Stop Loss at 0.2213 (0.32 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 8.54
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
1 0.63
Prediction 3 Probability
0 0.54
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.559673

15m : 0.071991

1H : 0.049109

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0004772187699
Details
  1. score: 1.16
  2. 1H
  3. ema9 : 0.220258
  4. ema21 : 0.221606
  5. ema50 : 0.221746
  6. ema100 : 0.218855
  7. price_ema9_diff : 0.00155197
  8. ema9_ema21_diff : -0.00608266
  9. ema21_ema50_diff : -0.000633483
  10. price_ema100_diff : 0.00797305
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.154892
  14. ema_slope_21 : -0.102398
  15. ema_slope_50 : -0.0284084
  16. ema_slope_100 : 0.0179658
  17. rsi : 0.447603
  18. adx : 0.253712
  19. kc_percentage : 0.37842
  20. kc_width_percentage : 0.0347387
  21. volume_ema_diff : -0.459681
  22. volume_ema1 : 183642.43253048
  23. volume_ema2 : 339878.23345683
  24. chop : 54.1665
  25. regime : range_high
  26. ¸
  27. 15m
  28. ema9 : 0.219335
  29. ema21 : 0.219812
  30. ema50 : 0.221024
  31. ema100 : 0.221943
  32. price_ema9_diff : 0.0057664
  33. ema9_ema21_diff : -0.00217329
  34. ema21_ema50_diff : -0.00547971
  35. price_ema100_diff : -0.00605489
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0503019
  39. ema_slope_21 : -0.0536612
  40. ema_slope_50 : -0.0438116
  41. ema_slope_100 : -0.0286058
  42. rsi : 0.535552
  43. adx : 0.335193
  44. kc_percentage : 0.722817
  45. kc_width_percentage : 0.016993
  46. volume_ema_diff : -0.322753
  47. volume_ema1 : 45018.071690588
  48. volume_ema2 : 66472.190620965
  49. chop : 55.9432
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.219559
  54. ema21 : 0.219285
  55. ema50 : 0.219592
  56. ema100 : 0.220214
  57. price_ema9_diff : 0.00473959
  58. ema9_ema21_diff : 0.0012475
  59. ema21_ema50_diff : -0.00139573
  60. price_ema100_diff : 0.00175211
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0298482
  64. ema_slope_21 : 0.00947906
  65. ema_slope_50 : -0.00637153
  66. ema_slope_100 : -0.00945176
  67. rsi : 0.636409
  68. adx : 0.224199
  69. kc_percentage : 1.16053
  70. kc_width_percentage : 0.00899381
  71. volume_ema_diff : -0.510044
  72. volume_ema1 : 9420.4298519154
  73. volume_ema2 : 19227.115599322
  74. chop : 32.6249
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    122220
  80. 5m_price_ema100_diff:
    0.00169242
  81. 5m_price:
    122427
  82. 5m_correlation_with_coin:
    0.559673
  83. btc_indicators
  84. 15m_ema100:
    121890
  85. 15m_price_ema100_diff:
    0.004408
  86. 15m_price:
    122427
  87. 15m_correlation_with_coin:
    0.071991
  88. btc_indicators
  89. 1H_ema100:
    119088
  90. 1H_price_ema100_diff:
    0.0280339
  91. 1H_price:
    122427
  92. 1H_correlation_with_coin:
    0.049109
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Oct 2025
09:11:31
04 Oct 2025
10:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2206 0.2213 0.2192 2 0.0866
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 0.2206
  • Stop Loss: 0.2213
  • Take Profit: 0.2192

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2213 - 0.2206 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2206 - 0.2192 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00070000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2465.3962 100 11175.8666 24.65
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 0.2206 = 2521.14

Donc, tu peux acheter 11428.57 avec un stoploss a 0.2213

Avec un position size USD de 2521.14$

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 2521.14
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.63 % 15.65 $
SL % Target SL $ Target
0.32 % 7.82 $
PNL PNL %
-7.82 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3173 % 100 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2192
            [entry_price] => 0.2206
            [stop_loss] => 0.22137
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-04 10:45:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.2192
            [entry_price] => 0.2206
            [stop_loss] => 0.22144
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-04 10:45:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.2192
            [entry_price] => 0.2206
            [stop_loss] => 0.22151
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-04 10:45:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.2192
            [entry_price] => 0.2206
            [stop_loss] => 0.22165
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-04 10:45:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0028
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 4
            [high] => 0.22130000
            [low] => 0.21780000
            [mfe_pct] => 1.27
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 4
            [candles_analyzed] => 24
            [start_at] => 2025-10-04T09:11:31-04:00
            [end_at] => 2025-10-04T11:11:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0047
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 6.71
            [high] => 0.22130000
            [low] => 0.21590000
            [mfe_pct] => 2.13
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 6.71
            [candles_analyzed] => 84
            [start_at] => 2025-10-04T09:11:31-04:00
            [end_at] => 2025-10-04T16:11:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22150000
            [high_after] => 0.22130000
            [low_before] => 0.21820000
            [low_after] => 0.21590000
            [is_new_high] => 
            [is_new_low] => 1
        )

)