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Short Trade on PEOPLE

Short Trade on PEOPLE

The 17 Oct 2025 at 12:06:13

With 64416.8206 PEOPLE at 0.0117$ per unit.

Position size of 753.6768 $

Take profit at 0.01145 (2.14 %) and Stop Loss at 0.01182 (1.03 %)

That's a 2.08 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.63
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.83
Prediction 3 Probability
0 0.97
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.808961

15m : 0.082973

1H : -0.041835

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 8.279410999E-5
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 0.0115425
  4. ema21 - 0.0117348
  5. ema50 - 0.0121409
  6. ema100 - 0.0125117
  7. price_ema9_diff - 0.0136386
  8. ema9_ema21_diff - -0.0163849
  9. ema21_ema50_diff - -0.033452
  10. price_ema100_diff - -0.0648813
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.459735
  14. ema_slope_21 - -0.396809
  15. ema_slope_50 - -0.281707
  16. ema_slope_100 - -0.187583
  17. rsi - 0.466647
  18. adx - 0.395211
  19. kc_percentage - 0.484923
  20. kc_width_percentage - 0.0976971
  21. volume_ema_diff - -0.422234
  22. volume_ema1 - 121606.89383977
  23. volume_ema2 - 210478.04295127
  24. chop - 37.2175
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0114994
  28. ema21 - 0.0114599
  29. ema50 - 0.0115598
  30. ema100 - 0.0117668
  31. price_ema9_diff - 0.0174388
  32. ema9_ema21_diff - 0.00344652
  33. ema21_ema50_diff - -0.00863923
  34. price_ema100_diff - -0.0056799
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0361034
  38. ema_slope_21 - 0.0125023
  39. ema_slope_50 - -0.0465406
  40. ema_slope_100 - -0.0604218
  41. rsi - 0.642451
  42. adx - 0.145653
  43. kc_percentage - 0.89926
  44. kc_width_percentage - 0.0513536
  45. volume_ema_diff - -0.410786
  46. volume_ema1 - 30346.46734988
  47. volume_ema2 - 51503.310668659
  48. chop - 45.8434
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0115665
  52. ema21 - 0.0114929
  53. ema50 - 0.0114451
  54. ema100 - 0.0113838
  55. price_ema9_diff - 0.0115388
  56. ema9_ema21_diff - 0.00640272
  57. ema21_ema50_diff - 0.00417314
  58. price_ema100_diff - 0.0277684
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.128022
  62. ema_slope_21 - 0.0621964
  63. ema_slope_50 - 0.0299028
  64. ema_slope_100 - 0.0239322
  65. rsi - 0.659344
  66. adx - 0.15509
  67. kc_percentage - 1.1048
  68. kc_width_percentage - 0.0288195
  69. volume_ema_diff - -0.0747981
  70. volume_ema1 - 12699.478065244
  71. volume_ema2 - 13726.169675849
  72. chop - 34.4065
  73. regime - bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 105549
  77. 5m_price_ema100_diff: 0.0149827
  78. 5m_price: 107130
  79. 5m_correlation_with_coin: 0.808961
  80. btc_indicators
  81. 15m_ema100: 107062
  82. 15m_price_ema100_diff: 0.00063616
  83. 15m_price: 107130
  84. 15m_correlation_with_coin: 0.082973
  85. btc_indicators
  86. 1H_ema100: 110403
  87. 1H_price_ema100_diff: -0.0296418
  88. 1H_price: 107130
  89. 1H_correlation_with_coin: -0.041835
    90. ¸

📌 Time Data

Start at Closed at Duration
17 Oct 2025
12:06:13		 17 Oct 2025
17:05:00		 4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0117 0.01182 0.01145 2.08 0.00926
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 0.0117
  • Stop Loss: 0.01182
  • Take Profit: 0.01145

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01182 - 0.0117 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0117 - 0.01145 = 0.00025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00025 / 0.00012 = 2.0833

📌 Position Size

Amount Margin Quantity Leverage
753.6768 100 64416.8206 7.54
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.0117 = 780

Donc, tu peux acheter 66666.67 avec un stoploss a 0.01182

Avec un position size USD de 780$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00025 = 16.67

Si Take Profit atteint, tu gagneras 16.67$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 780
  • Perte potentielle 8
  • Gain potentiel 16.67
  • Risk-Reward Ratio 2.0833

📌 Peformances

TP % Target TP $ Target
2.14 % 16.1 $
SL % Target SL $ Target
1.03 % 7.73 $
PNL PNL %
-7.73 $ -1.03
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5385 % 150.01 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01145
            [entry_price] => 0.0117
            [stop_loss] => 0.011832
            [rr_ratio] => 1.89
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-17 17:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01145
            [entry_price] => 0.0117
            [stop_loss] => 0.011844
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-17 17:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01145
            [entry_price] => 0.0117
            [stop_loss] => 0.011856
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-17 17:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01145
            [entry_price] => 0.0117
            [stop_loss] => 0.01188
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-17 17:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00021
            [max_drawdown] => 4.0E-5
            [rr_ratio] => 5.25
            [high] => 0.01174000
            [low] => 0.01149000
            [mfe_pct] => 1.79
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 5.25
            [candles_analyzed] => 24
            [start_at] => 2025-10-17T12:06:13-04:00
            [end_at] => 2025-10-17T14:06:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00021
            [max_drawdown] => 0.0002
            [rr_ratio] => 1.05
            [high] => 0.01190000
            [low] => 0.01149000
            [mfe_pct] => 1.79
            [mae_pct] => 1.71
            [mfe_mae_ratio] => 1.05
            [candles_analyzed] => 84
            [start_at] => 2025-10-17T12:06:13-04:00
            [end_at] => 2025-10-17T19:06:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01179000
            [high_after] => 0.01190000
            [low_before] => 0.01120000
            [low_after] => 0.01149000
            [is_new_high] => 
            [is_new_low] => 
        )

)