Short Trade on CTSI 22 Sep 2025 at 16:45:48

Take profit at 0.07391 (0.78 %) and Stop Loss at 0.07478 (0.39 %)

Short Trade on CTSI

The 22 Sep 2025 at 16:45:48

With 27533.4297 CTSI at 0.07449$ per unit.

Position size of 2050.9652 $

Take profit at 0.07391 (0.78 %) and Stop Loss at 0.07478 (0.39 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.42
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.71
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 : 0.491732

15m : 0.002132

1H : -0.018572

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0001937039225
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.0743536
  4. ema21 : 0.0760131
  5. ema50 : 0.079273
  6. ema100 : 0.0820961
  7. price_ema9_diff : 0.0018335
  8. ema9_ema21_diff : -0.0218309
  9. ema21_ema50_diff : -0.0411226
  10. price_ema100_diff : -0.092649
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.325081
  14. ema_slope_21 : -0.405231
  15. ema_slope_50 : -0.314189
  16. ema_slope_100 : -0.21069
  17. rsi : 0.345788
  18. adx : 0.677367
  19. kc_percentage : 0.199258
  20. kc_width_percentage : 0.0613689
  21. volume_ema_diff : -0.732954
  22. volume_ema1 : 37529.851621161
  23. volume_ema2 : 140537.33324298
  24. chop : 71.4123
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0741355
  29. ema21 : 0.0741281
  30. ema50 : 0.0748283
  31. ema100 : 0.0765319
  32. price_ema9_diff : 0.00478085
  33. ema9_ema21_diff : 0.00010068
  34. ema21_ema50_diff : -0.00935776
  35. price_ema100_diff : -0.0266813
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0271258
  39. ema_slope_21 : -0.00854517
  40. ema_slope_50 : -0.0516125
  41. ema_slope_100 : -0.072234
  42. rsi : 0.549981
  43. adx : 0.215166
  44. kc_percentage : 0.752392
  45. kc_width_percentage : 0.0197215
  46. volume_ema_diff : -0.735158
  47. volume_ema1 : 5640.1270856959
  48. volume_ema2 : 21296.236830713
  49. chop : 67.5388
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.0742454
  54. ema21 : 0.0741015
  55. ema50 : 0.0740783
  56. ema100 : 0.0742249
  57. price_ema9_diff : 0.00329332
  58. ema9_ema21_diff : 0.00194274
  59. ema21_ema50_diff : 0.000312382
  60. price_ema100_diff : 0.00357157
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0330036
  64. ema_slope_21 : 0.0123235
  65. ema_slope_50 : 0.00127895
  66. ema_slope_100 : -0.00452263
  67. rsi : 0.663697
  68. adx : 0.232039
  69. kc_percentage : 1.00832
  70. kc_width_percentage : 0.0101036
  71. volume_ema_diff : -0.348744
  72. volume_ema1 : 1953.5079846846
  73. volume_ema2 : 2999.6041904529
  74. chop : 38.9073
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112500
  80. 5m_price_ema100_diff:
    0.000551834
  81. 5m_price:
    112562
  82. 5m_correlation_with_coin:
    0.491732
  83. btc_indicators
  84. 15m_ema100:
    113306
  85. 15m_price_ema100_diff:
    -0.00656158
  86. 15m_price:
    112562
  87. 15m_correlation_with_coin:
    0.002132
  88. btc_indicators
  89. 1H_ema100:
    115046
  90. 1H_price_ema100_diff:
    -0.0215911
  91. 1H_price:
    112562
  92. 1H_correlation_with_coin:
    -0.018572
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:45:48
22 Sep 2025
17:20:00
34 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07449 0.07478 0.07391 2 0.02402
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 0.07449
  • Stop Loss: 0.07478
  • Take Profit: 0.07391

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07478 - 0.07449 = 0.00029

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07449 - 0.07391 = 0.00058

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00058 / 0.00029 = 2

📌 Position Size

Amount Margin Quantity Leverage
2050.9652 100 27533.4297 20.51
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 0.00029

Taille de position = 8 / 0.00029 = 27586.21

Taille de position USD = 27586.21 x 0.07449 = 2054.9

Donc, tu peux acheter 27586.21 avec un stoploss a 0.07478

Avec un position size USD de 2054.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 27586.21 x 0.00029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 27586.21 x 0.00058 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 27586.21
  • Taille de position USD 2054.9
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.78 % 15.97 $
SL % Target SL $ Target
0.39 % 7.98 $
PNL PNL %
-7.98 $ -0.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4296 % 110.35 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07391
            [entry_price] => 0.07449
            [stop_loss] => 0.074809
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07391
            [entry_price] => 0.07449
            [stop_loss] => 0.074838
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07391
            [entry_price] => 0.07449
            [stop_loss] => 0.074867
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07391
            [entry_price] => 0.07449
            [stop_loss] => 0.074925
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 7.0000000000001E-5
            [max_drawdown] => 0.00094
            [rr_ratio] => 0.07
            [high] => 0.07543000
            [low] => 0.07442000
            [mfe_pct] => 0.09
            [mae_pct] => 1.26
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:45:48-04:00
            [end_at] => 2025-09-22T18:45:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0009
            [max_drawdown] => 0.0015
            [rr_ratio] => 0.6
            [high] => 0.07599000
            [low] => 0.07359000
            [mfe_pct] => 1.21
            [mae_pct] => 2.01
            [mfe_mae_ratio] => 0.6
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:45:48-04:00
            [end_at] => 2025-09-22T23:45:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07456000
            [high_after] => 0.07599000
            [low_before] => 0.07315000
            [low_after] => 0.07404000
            [is_new_high] => 
            [is_new_low] => 
        )

)