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Short Trade on TANSSI

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Short Trade on TANSSI 30 Oct 2025 at 19:59:49

Take profit at 0.02777 (0.72 %) and Stop Loss at 0.02807 (0.36 %)

Short Trade on TANSSI

The 30 Oct 2025 at 19:59:49

With 79522.2621 TANSSI at 0.02797$ per unit.

Position size of 2224.2377 $

Take profit at 0.02777 (0.72 %) and Stop Loss at 0.02807 (0.36 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 6.96
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.86
Prediction 3 Probability
0 0.98
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.360374

15m : -0.044395

1H : 0.028393

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.45
  4. atr: 6.706717326E-5
Details
  1. score: 1.45
  2. 1H
  3. ema9 : 0.0279142
  4. ema21 : 0.0286942
  5. ema50 : 0.0299992
  6. ema100 : 0.0311829
  7. price_ema9_diff : 0.00199614
  8. ema9_ema21_diff : -0.0271813
  9. ema21_ema50_diff : -0.0435031
  10. price_ema100_diff : -0.103036
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.520864
  14. ema_slope_21 : -0.463265
  15. ema_slope_50 : -0.331087
  16. ema_slope_100 : -0.223339
  17. rsi : 0.411477
  18. adx : 0.272264
  19. kc_percentage : 0.29421
  20. kc_width_percentage : 0.115389
  21. volume_ema_diff : -0.476212
  22. volume_ema1 : 98647.651746635
  23. volume_ema2 : 188335.2578781
  24. chop : 53.5196
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0276731
  28. ema21 : 0.0276652
  29. ema50 : 0.0280903
  30. ema100 : 0.0286799
  31. price_ema9_diff : 0.0107261
  32. ema9_ema21_diff : 0.000285679
  33. ema21_ema50_diff : -0.0151324
  34. price_ema100_diff : -0.024754
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0546679
  38. ema_slope_21 : -0.0234545
  39. ema_slope_50 : -0.0893366
  40. ema_slope_100 : -0.0855132
  41. rsi : 0.502504
  42. adx : 0.163313
  43. kc_percentage : 0.879618
  44. kc_width_percentage : 0.0294194
  45. volume_ema_diff : -0.967741
  46. volume_ema1 : 1774.1367775527
  47. volume_ema2 : 54997.710118899
  48. chop : 77.7447
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0278303
  52. ema21 : 0.027741
  53. ema50 : 0.0276639
  54. ema100 : 0.0277726
  55. price_ema9_diff : 0.00501662
  56. ema9_ema21_diff : 0.00321947
  57. ema21_ema50_diff : 0.00278774
  58. price_ema100_diff : 0.0071044
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0520199
  62. ema_slope_21 : 0.0464097
  63. ema_slope_50 : 0.025096
  64. ema_slope_100 : 0.00169804
  65. rsi : 0.681447
  66. adx : 0.172061
  67. kc_percentage : 1.44768
  68. kc_width_percentage : 0.00840174
  69. volume_ema_diff : -0.948123
  70. volume_ema1 : 284.06914751235
  71. volume_ema2 : 5475.8878879063
  72. chop : 43.7976
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107525
  77. 5m_price_ema100_diff: 
    0.00682381
  78. 5m_price: 
    108259
  79. 5m_correlation_with_coin: 
    0.360374
  80. btc_indicators
  81. 15m_ema100: 
    108657
  82. 15m_price_ema100_diff: 
    -0.00442139
  83. 15m_price: 
    108176
  84. 15m_correlation_with_coin: 
    -0.044395
  85. btc_indicators
  86. 1H_ema100: 
    111585
  87. 1H_price_ema100_diff: 
    -0.0298135
  88. 1H_price: 
    108259
  89. 1H_correlation_with_coin: 
    0.028393
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-28 05:00:00
                    [1] => 0.03191
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-28 10:00:00
                    [1] => 0.03402
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 0.03116
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-29 01:00:00
                    [1] => 0.03129
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 04:00:00
                    [1] => 0.03414
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-29 15:00:00
                    [1] => 0.02937
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 02:00:00
                    [1] => 0.03244
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 07:00:00
                    [1] => 0.02779
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-30 15:00:00
                    [1] => 0.02681
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 19:00:00
                    [1] => 0.02797
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 4.3267437523312
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 4.3267437523312
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-29 23:00:00
                    [1] => 0.03087
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-30 00:15:00
                    [1] => 0.02968
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-30 02:15:00
                    [1] => 0.03244
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-30 07:15:00
                    [1] => 0.02779
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-30 09:45:00
                    [1] => 0.03011
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 13:30:00
                    [1] => 0.02698
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 15:45:00
                    [1] => 0.02681
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-30 16:15:00
                    [1] => 0.0278
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 17:30:00
                    [1] => 0.02722
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 19:45:00
                    [1] => 0.02797
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 2.7553269654666
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 2.7553269654666
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-30 14:20:00
                    [1] => 0.02783
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-30 14:45:00
                    [1] => 0.02719
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-30 15:50:00
                    [1] => 0.02681
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-30 16:15:00
                    [1] => 0.0278
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 17:25:00
                    [1] => 0.02722
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 17:35:00
                    [1] => 0.02722
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 18:30:00
                    [1] => 0.02777
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 18:40:00
                    [1] => 0.02777
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 19:20:00
                    [1] => 0.02785
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-30 19:50:00
                    [1] => 0.02797
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 0.82912761355443
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 0.43087971274685
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
0.83%
Bars Since Swing High
1 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
0.43%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.36%
TP to Pivot Distance
0.0010
3.46%
DateTime Price Type
2025-10-30 14:20:00 0.02783 ↑ High
2025-10-30 14:45:00 0.02719 ↓ Low
2025-10-30 15:50:00 0.02681 ↓ Low
2025-10-30 16:15:00 0.0278 ↑ High
2025-10-30 17:25:00 0.02722 ↓ Low
2025-10-30 17:35:00 0.02722 ↓ Low
2025-10-30 18:30:00 0.02777 ↑ High
2025-10-30 18:40:00 0.02777 ↑ High
2025-10-30 19:20:00 0.02785 ↑ High
2025-10-30 19:50:00 0.02797 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
2.76%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
2.76%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0044
15.57%
TP to Pivot Distance
0.0010
3.46%
DateTime Price Type
2025-10-29 23:00:00 0.03087 ↑ High
2025-10-30 00:15:00 0.02968 ↓ Low
2025-10-30 02:15:00 0.03244 ↑ High
2025-10-30 07:15:00 0.02779 ↓ Low
2025-10-30 09:45:00 0.03011 ↑ High
2025-10-30 13:30:00 0.02698 ↓ Low
2025-10-30 15:45:00 0.02681 ↓ Low
2025-10-30 16:15:00 0.0278 ↑ High
2025-10-30 17:30:00 0.02722 ↓ Low
2025-10-30 19:45:00 0.02797 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
4.33%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
4.33%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0061
21.62%
TP to Pivot Distance
0.0010
3.46%
DateTime Price Type
2025-10-28 05:00:00 0.03191 ↓ Low
2025-10-28 10:00:00 0.03402 ↑ High
2025-10-28 17:00:00 0.03116 ↓ Low
2025-10-29 01:00:00 0.03129 ↓ Low
2025-10-29 04:00:00 0.03414 ↑ High
2025-10-29 15:00:00 0.02937 ↓ Low
2025-10-30 02:00:00 0.03244 ↑ High
2025-10-30 07:00:00 0.02779 ↓ Low
2025-10-30 15:00:00 0.02681 ↓ Low
2025-10-30 19:00:00 0.02797 ↑ High

📌 Time Data

Start at Closed at Duration
30 Oct 2025
19:59:49		 30 Oct 2025
20:05:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02797 0.02807 0.02777 2 0.02282
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 0.02797
  • Stop Loss: 0.02807
  • Take Profit: 0.02777

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02807 - 0.02797 = 0.0001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02797 - 0.02777 = 0.0002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0002 / 0.0001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2224.2377 100 79522.2621 22.24
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 0.0001

Taille de position = 8 / 0.0001 = 80000

Taille de position USD = 80000 x 0.02797 = 2237.6

Donc, tu peux acheter 80000 avec un stoploss a 0.02807

Avec un position size USD de 2237.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 0.0001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.0002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 80000
  • Taille de position USD 2237.6
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.72 % 15.9 $
SL % Target SL $ Target
0.36 % 7.95 $
PNL PNL %
15.9 $ 0.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02777
            [stop_loss] => 0.02807
            [rr_ratio] => 2
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.02772
            [stop_loss] => 0.02807
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02767
            [stop_loss] => 0.02807
            [rr_ratio] => 3
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.02762
            [stop_loss] => 0.02807
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.02757
            [stop_loss] => 0.02807
            [rr_ratio] => 4
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.02752
            [stop_loss] => 0.02807
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.02747
            [stop_loss] => 0.02807
            [rr_ratio] => 5
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.02742
            [stop_loss] => 0.02807
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.02737
            [stop_loss] => 0.02807
            [rr_ratio] => 6
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.02732
            [stop_loss] => 0.02807
            [rr_ratio] => 6.5
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.02727
            [stop_loss] => 0.02807
            [rr_ratio] => 7
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00079
            [max_drawdown] => 6.0000000000001E-5
            [rr_ratio] => 13.17
            [high] => 0.02803000
            [low] => 0.02718000
            [mfe_pct] => 2.82
            [mae_pct] => 0.21
            [mfe_mae_ratio] => 13.17
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T19:59:49-04:00
            [end_at] => 2025-10-30T21:59:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00079
            [max_drawdown] => 0.00016
            [rr_ratio] => 4.94
            [high] => 0.02813000
            [low] => 0.02718000
            [mfe_pct] => 2.82
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 4.94
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T19:59:49-04:00
            [end_at] => 2025-10-31T02:59:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02797000
            [high_after] => 0.02813000
            [low_before] => 0.02706000
            [low_after] => 0.02718000
            [is_new_high] => 
            [is_new_low] => 
        )

)