Long Trade on 1000RATS 27 Sep 2025 at 20:01:43

Take profit at 0.03005 (1.83 %) and Stop Loss at 0.02924 (0.91 %)

Long Trade on 1000RATS

The 27 Sep 2025 at 20:01:43

With 29609.1414 1000RATS at 0.02951$ per unit.

Position size of 873.7658 $

Take profit at 0.03005 (1.83 %) and Stop Loss at 0.02924 (0.91 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.68
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_medium

BTC Correlation Score

5m : -0.011349

15m : -0.03359

1H : -0.010319

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0001801245521
Details
  1. score: 2.1
  2. 1H
  3. ema9 : 0.0297687
  4. ema21 : 0.0292351
  5. ema50 : 0.0283485
  6. ema100 : 0.0275139
  7. price_ema9_diff : -0.0086921
  8. ema9_ema21_diff : 0.0182518
  9. ema21_ema50_diff : 0.0312743
  10. price_ema100_diff : 0.0725466
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.475013
  14. ema_slope_21 : 0.418451
  15. ema_slope_50 : 0.285514
  16. ema_slope_100 : 0.197637
  17. rsi : 0.547326
  18. adx : 0.284678
  19. kc_percentage : 0.57393
  20. kc_width_percentage : 0.106436
  21. volume_ema_diff : -0.463009
  22. volume_ema1 : 110105.96246879
  23. volume_ema2 : 205042.78942434
  24. chop : 40.8375
  25. regime : bull_high
  26. ¸
  27. 15m
  28. ema9 : 0.0298747
  29. ema21 : 0.0299214
  30. ema50 : 0.0295738
  31. ema100 : 0.0289551
  32. price_ema9_diff : -0.0122103
  33. ema9_ema21_diff : -0.0015601
  34. ema21_ema50_diff : 0.0117553
  35. price_ema100_diff : 0.0191622
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0348375
  39. ema_slope_21 : 0.0536129
  40. ema_slope_50 : 0.0858752
  41. ema_slope_100 : 0.0888247
  42. rsi : 0.429803
  43. adx : 0.236145
  44. kc_percentage : 0.193382
  45. kc_width_percentage : 0.0459997
  46. volume_ema_diff : -0.522076
  47. volume_ema1 : 24679.565905811
  48. volume_ema2 : 51639.105288145
  49. chop : 51.9112
  50. regime : bull_high
  51. ¸
  52. 5m
  53. ema9 : 0.0297504
  54. ema21 : 0.029949
  55. ema50 : 0.0300281
  56. ema100 : 0.0300381
  57. price_ema9_diff : -0.00808132
  58. ema9_ema21_diff : -0.00663055
  59. ema21_ema50_diff : -0.0026348
  60. price_ema100_diff : -0.0175842
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : -0.202105
  64. ema_slope_21 : -0.113695
  65. ema_slope_50 : -0.0408491
  66. ema_slope_100 : -0.0178205
  67. rsi : 0.331079
  68. adx : 0.315176
  69. kc_percentage : -0.0980191
  70. kc_width_percentage : 0.0243539
  71. volume_ema_diff : -0.525865
  72. volume_ema1 : 6734.6385292526
  73. volume_ema2 : 14204.060157703
  74. chop : 31.4406
  75. regime : bear_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109427
  80. 5m_price_ema100_diff:
    0.0013426
  81. 5m_price:
    109574
  82. 5m_correlation_with_coin:
    -0.011349
  83. btc_indicators
  84. 15m_ema100:
    109401
  85. 15m_price_ema100_diff:
    0.00158133
  86. 15m_price:
    109574
  87. 15m_correlation_with_coin:
    -0.03359
  88. btc_indicators
  89. 1H_ema100:
    110305
  90. 1H_price_ema100_diff:
    -0.00663442
  91. 1H_price:
    109574
  92. 1H_correlation_with_coin:
    -0.010319
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Sep 2025
20:01:43
27 Sep 2025
20:05:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02951 0.02924 0.03005 2 0.04507
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 0.02951
  • Stop Loss: 0.02924
  • Take Profit: 0.03005

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02924 - 0.02951 = -0.00027

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02951 - 0.03005 = -0.00054

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00054 / -0.00027 = 2

📌 Position Size

Amount Margin Quantity Leverage
873.7658 100 29609.1414 8.74
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 -0.00027

Taille de position = 8 / -0.00027 = -29629.63

Taille de position USD = -29629.63 x 0.02951 = -874.37

Donc, tu peux acheter -29629.63 avec un stoploss a 0.02924

Avec un position size USD de -874.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -29629.63 x -0.00027 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -29629.63 x -0.00054 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -29629.63
  • Taille de position USD -874.37
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.83 % 15.99 $
SL % Target SL $ Target
0.91 % 7.99 $
PNL PNL %
-7.99 $ -0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1688 % 237.05 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03005
            [entry_price] => 0.02951
            [stop_loss] => 0.029213
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-27 20:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03005
            [entry_price] => 0.02951
            [stop_loss] => 0.029186
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-27 20:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03005
            [entry_price] => 0.02951
            [stop_loss] => 0.029159
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-27 20:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03005
            [entry_price] => 0.02951
            [stop_loss] => 0.029105
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-27 20:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.00242
            [rr_ratio] => 0
            [high] => 0.02951000
            [low] => 0.02709000
            [mfe_pct] => 0
            [mae_pct] => 8.2
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-27T20:01:43-04:00
            [end_at] => 2025-09-27T22:01:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.00325
            [rr_ratio] => 0
            [high] => 0.02951000
            [low] => 0.02626000
            [mfe_pct] => 0
            [mae_pct] => 11.01
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2025-09-27T20:01:43-04:00
            [end_at] => 2025-09-28T03:01:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03076000
            [high_after] => 0.02951000
            [low_before] => 0.02938000
            [low_after] => 0.02626000
            [is_new_high] => 
            [is_new_low] => 
        )

)