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Short Trade on PEOPLE

Short Trade on PEOPLE

The 16 Oct 2025 at 17:57:32

With 92303.6384 PEOPLE at 0.01207$ per unit.

Position size of 1114.1049 $

Take profit at 0.0119 (1.41 %) and Stop Loss at 0.01216 (0.75 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.93
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.57
Prediction 2 Probability
1 0.66
Prediction 3 Probability
1 0.59
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 : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.816234

15m : -0.046234

1H : -0.000655

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 5.778031533E-5
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 0.0122039
  4. ema21 - 0.0124254
  5. ema50 - 0.0126759
  6. ema100 - 0.0128672
  7. price_ema9_diff - -0.0109766
  8. ema9_ema21_diff - -0.0178243
  9. ema21_ema50_diff - -0.0197623
  10. price_ema100_diff - -0.0619609
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -0.300088
  14. ema_slope_21 - -0.198254
  15. ema_slope_50 - -0.133231
  16. ema_slope_100 - -0.0876079
  17. rsi - 0.393129
  18. adx - 0.409953
  19. kc_percentage - 0.200531
  20. kc_width_percentage - 0.0946609
  21. volume_ema_diff - 0.139027
  22. volume_ema1 - 224839.85161271
  23. volume_ema2 - 197396.3777537
  24. chop - 39.1321
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0119648
  28. ema21 - 0.0120682
  29. ema50 - 0.0122767
  30. ema100 - 0.0124071
  31. price_ema9_diff - 0.00878844
  32. ema9_ema21_diff - -0.00856768
  33. ema21_ema50_diff - -0.0169863
  34. price_ema100_diff - -0.0271759
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.190137
  38. ema_slope_21 - -0.191541
  39. ema_slope_50 - -0.140606
  40. ema_slope_100 - -0.0851158
  41. rsi - 0.446661
  42. adx - 0.340103
  43. kc_percentage - 0.523708
  44. kc_width_percentage - 0.0400662
  45. volume_ema_diff - -0.557216
  46. volume_ema1 - 27659.575693369
  47. volume_ema2 - 62467.424526955
  48. chop - 49.3209
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0120006
  52. ema21 - 0.0119645
  53. ema50 - 0.0120302
  54. ema100 - 0.0121871
  55. price_ema9_diff - 0.00577847
  56. ema9_ema21_diff - 0.00302136
  57. ema21_ema50_diff - -0.00546776
  58. price_ema100_diff - -0.00961455
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.108162
  62. ema_slope_21 - 0.0330738
  63. ema_slope_50 - -0.0240426
  64. ema_slope_100 - -0.040272
  65. rsi - 0.606873
  66. adx - 0.277277
  67. kc_percentage - 1.00587
  68. kc_width_percentage - 0.0172427
  69. volume_ema_diff - -0.166525
  70. volume_ema1 - 14751.516639696
  71. volume_ema2 - 17698.828934855
  72. chop - 49.0339
  73. regime - range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 108740
  77. 5m_price_ema100_diff: -0.00354534
  78. 5m_price: 108354
  79. 5m_correlation_with_coin: 0.816234
  80. btc_indicators
  81. 15m_ema100: 109837
  82. 15m_price_ema100_diff: -0.0137385
  83. 15m_price: 108328
  84. 15m_correlation_with_coin: -0.046234
  85. btc_indicators
  86. 1H_ema100: 111855
  87. 1H_price_ema100_diff: -0.031299
  88. 1H_price: 108354
  89. 1H_correlation_with_coin: -0.000655
    90. ¸

📌 Time Data

Start at Closed at Duration
16 Oct 2025
17:57:32		 16 Oct 2025
19:20:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01207 0.01216 0.0119 1.89 0.00922
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 0.01207
  • Stop Loss: 0.01216
  • Take Profit: 0.0119

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01216 - 0.01207 = 9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01207 - 0.0119 = 0.00017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00017 / 9.0E-5 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
1114.1049 100 92303.6384 11.14
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 9.0E-5

Taille de position = 8 / 9.0E-5 = 88888.89

Taille de position USD = 88888.89 x 0.01207 = 1072.89

Donc, tu peux acheter 88888.89 avec un stoploss a 0.01216

Avec un position size USD de 1072.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 88888.89 x 9.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 88888.89 x 0.00017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 88888.89
  • Taille de position USD 1072.89
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
1.41 % 15.69 $
SL % Target SL $ Target
0.75 % 8.31 $
PNL PNL %
-8.31 $ -0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9114 % 122.22 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0119
            [entry_price] => 0.01207
            [stop_loss] => 0.012169
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 19:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0119
            [entry_price] => 0.01207
            [stop_loss] => 0.012178
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 19:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0119
            [entry_price] => 0.01207
            [stop_loss] => 0.012187
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 19:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0119
            [entry_price] => 0.01207
            [stop_loss] => 0.012205
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 20:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00011
            [max_drawdown] => 0.00012
            [rr_ratio] => 0.92
            [high] => 0.01219000
            [low] => 0.01196000
            [mfe_pct] => 0.91
            [mae_pct] => 0.99
            [mfe_mae_ratio] => 0.92
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T17:57:32-04:00
            [end_at] => 2025-10-16T19:57:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00011
            [max_drawdown] => 0.00034
            [rr_ratio] => 0.32
            [high] => 0.01241000
            [low] => 0.01196000
            [mfe_pct] => 0.91
            [mae_pct] => 2.82
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T17:57:32-04:00
            [end_at] => 2025-10-17T00:57:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01229000
            [high_after] => 0.01241000
            [low_before] => 0.01171000
            [low_after] => 0.01196000
            [is_new_high] => 
            [is_new_low] => 
        )

)