Short Trade on SAPIEN 29 Aug 2025 at 09:37:16

Take profit at 0.1303 (2.18 %) and Stop Loss at 0.1352 (1.5 %)

Short Trade on SAPIEN

The 29 Aug 2025 at 09:37:16

With 4051.2965 SAPIEN at 0.1332$ per unit.

Position size of 539.8353 $

Take profit at 0.1303 (2.18 %) and Stop Loss at 0.1352 (1.5 %)

That's a 1.45 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 2.84
Prediction Score: 4.9433
Prediction 1 Probability
Strong Trade
0.58
Prediction 2 Probability
1 0.57
Prediction 3 Probability
1 0.57
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.174983

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.001316450985
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.131091
  4. ema21 : 0.135337
  5. ema50 : 0.144864
  6. ema100 : 0.160329
  7. price_ema9_diff : 0.0164623
  8. ema9_ema21_diff : -0.0313671
  9. ema21_ema50_diff : -0.065768
  10. price_ema100_diff : -0.168897
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.440725
  14. adx : 0.295078
  15. kc_percentage : 0.405745
  16. kc_width_percentage : 0.14081
  17. volume_ema_diff : -0.177342
  18. volume_ema1 : 919002.40086012
  19. volume_ema2 : 1117113.9911095
  20. ¸
  21. 15m
  22. ema9 : 0.129657
  23. ema21 : 0.128778
  24. ema50 : 0.131973
  25. ema100 : 0.135316
  26. price_ema9_diff : 0.0277097
  27. ema9_ema21_diff : 0.00682041
  28. ema21_ema50_diff : -0.0242044
  29. price_ema100_diff : -0.0152744
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.613209
  33. adx : 0.395291
  34. kc_percentage : 0.979761
  35. kc_width_percentage : 0.0708705
  36. volume_ema_diff : -0.085453
  37. volume_ema1 : 220418.93028268
  38. volume_ema2 : 241014.33483009
  39. ¸
  40. 5m
  41. ema9 : 0.132142
  42. ema21 : 0.129957
  43. ema50 : 0.128356
  44. ema100 : 0.129697
  45. price_ema9_diff : 0.00838003
  46. ema9_ema21_diff : 0.0168118
  47. ema21_ema50_diff : 0.0124766
  48. price_ema100_diff : 0.0273934
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.704667
  52. adx : 0.476374
  53. kc_percentage : 1.10456
  54. kc_width_percentage : 0.0390909
  55. volume_ema_diff : -0.253738
  56. volume_ema1 : 63777.679293158
  57. volume_ema2 : 85462.961639009
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    110345
  62. 5m_price_ema100_diff:
    -0.00176834
  63. 5m_price:
    110150
  64. 5m_correlation_with_coin:
    0.174983
  65. btc_indicators
  66. 15m_ema100:
    111312
  67. 15m_price_ema100_diff:
    -0.0103084
  68. 15m_price:
    110165
  69. btc_indicators
  70. 1H_ema100:
    111368
  71. 1H_price_ema100_diff:
    -0.0109366
  72. 1H_price:
    110150
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
09:37:16
29 Aug 2025
09:40:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1332 0.1352 0.1303 1.45 0.08774
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 0.1332
  • Stop Loss: 0.1352
  • Take Profit: 0.1303

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1352 - 0.1332 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1332 - 0.1303 = 0.0029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0029 / 0.002 = 1.45

📌 Position Size

Amount Margin Quantity Leverage
539.8353 100 4051.2965 5.40
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 0.1332 = 532.8

Donc, tu peux acheter 4000 avec un stoploss a 0.1352

Avec un position size USD de 532.8$

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 0.0029 = 11.6

Si Take Profit atteint, tu gagneras 11.6$

Résumé

  • Taille de position 4000
  • Taille de position USD 532.8
  • Perte potentielle 8
  • Gain potentiel 11.6
  • Risk-Reward Ratio 1.45

📌 Peformances

TP % Target TP $ Target
2.18 % 11.75 $
SL % Target SL $ Target
1.5 % 8.1 $
PNL PNL %
11.75 $ 2.18
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.1292
            [stop_loss] => 0.1352
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

    [2.5] => Array
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            [take_profit] => 0.1282
            [stop_loss] => 0.1352
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

    [3] => Array
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            [take_profit] => 0.1272
            [stop_loss] => 0.1352
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

    [3.5] => Array
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            [take_profit] => 0.1262
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            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 0.1352
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 09:55:00
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    [4.5] => Array
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            [take_profit] => 0.1242
            [stop_loss] => 0.1352
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1232
            [stop_loss] => 0.1352
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1222
            [stop_loss] => 0.1352
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

    [6] => Array
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            [take_profit] => 0.1212
            [stop_loss] => 0.1352
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

    [6.5] => Array
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            [take_profit] => 0.1202
            [stop_loss] => 0.1352
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

    [7] => Array
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            [take_profit] => 0.1192
            [stop_loss] => 0.1352
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 09:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.0032
            [max_drawdown] => 0.00288
            [rr_ratio] => 1.11
            [high] => 0.13608000
            [low] => 0.13000000
            [mfe_pct] => 2.4
            [mae_pct] => 2.16
            [mfe_mae_ratio] => 1.11
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T09:37:16-04:00
            [end_at] => 2025-08-29T11:37:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0094
            [max_drawdown] => 0.00288
            [rr_ratio] => 3.26
            [high] => 0.13608000
            [low] => 0.12380000
            [mfe_pct] => 7.06
            [mae_pct] => 2.16
            [mfe_mae_ratio] => 3.26
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T09:37:16-04:00
            [end_at] => 2025-08-29T16:37:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13435000
            [high_after] => 0.13608000
            [low_before] => 0.12095000
            [low_after] => 0.12401000
            [is_new_high] => 
            [is_new_low] => 
        )

)