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Short Trade on TANSSI

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Short Trade on TANSSI 30 Oct 2025 at 19:31:01

Take profit at 0.02765 (0.72 %) and Stop Loss at 0.02795 (0.36 %)

Short Trade on TANSSI

The 30 Oct 2025 at 19:31:01

With 79945.4216 TANSSI at 0.02785$ per unit.

Position size of 2226.48 $

Take profit at 0.02765 (0.72 %) and Stop Loss at 0.02795 (0.36 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 4.41
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
0 0.4
Prediction 3 Probability
0 0.64
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 : bull_low
BTC Correlation Score

5m : 0.370923

15m : 0.02091

1H : 0.008373

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.3
  4. atr: 6.671217969E-5
Details
  1. score: 1.3
  2. 1H
  3. ema9 : 0.0278902
  4. ema21 : 0.0286833
  5. ema50 : 0.0299945
  6. ema100 : 0.0311806
  7. price_ema9_diff : -0.00144419
  8. ema9_ema21_diff : -0.0276481
  9. ema21_ema50_diff : -0.0437168
  10. price_ema100_diff : -0.106816
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.527581
  14. ema_slope_21 : -0.466257
  15. ema_slope_50 : -0.332342
  16. ema_slope_100 : -0.223957
  17. rsi : 0.400305
  18. adx : 0.274492
  19. kc_percentage : 0.256956
  20. kc_width_percentage : 0.114162
  21. volume_ema_diff : -0.478164
  22. volume_ema1 : 98256.001843302
  23. volume_ema2 : 188289.18141888
  24. chop : 53.4956
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0276784
  28. ema21 : 0.0276678
  29. ema50 : 0.0281165
  30. ema100 : 0.0287563
  31. price_ema9_diff : 0.00619734
  32. ema9_ema21_diff : 0.000384483
  33. ema21_ema50_diff : -0.0159603
  34. price_ema100_diff : -0.0315177
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.05911
  38. ema_slope_21 : -0.0291021
  39. ema_slope_50 : -0.0954507
  40. ema_slope_100 : -0.0918272
  41. rsi : 0.528805
  42. adx : 0.168638
  43. kc_percentage : 0.718949
  44. kc_width_percentage : 0.0312491
  45. volume_ema_diff : -0.95555
  46. volume_ema1 : 2541.4229796624
  47. volume_ema2 : 57175.142525126
  48. chop : 79.3202
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0277631
  52. ema21 : 0.0276774
  53. ema50 : 0.0276245
  54. ema100 : 0.0277605
  55. price_ema9_diff : 0.0031283
  56. ema9_ema21_diff : 0.00309689
  57. ema21_ema50_diff : 0.00191558
  58. price_ema100_diff : 0.00322166
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0369685
  62. ema_slope_21 : 0.0429884
  63. ema_slope_50 : 0.0200266
  64. ema_slope_100 : -0.00265217
  65. rsi : 0.655639
  66. adx : 0.159696
  67. kc_percentage : 1.29845
  68. kc_width_percentage : 0.00750038
  69. volume_ema_diff : -0.913364
  70. volume_ema1 : 601.14649329691
  71. volume_ema2 : 6938.8166689022
  72. chop : 66.4795
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107476
  77. 5m_price_ema100_diff: 
    0.00161277
  78. 5m_price: 
    107650
  79. 5m_correlation_with_coin: 
    0.370923
  80. btc_indicators
  81. 15m_ema100: 
    108722
  82. 15m_price_ema100_diff: 
    -0.00986253
  83. 15m_price: 
    107650
  84. 15m_correlation_with_coin: 
    0.02091
  85. btc_indicators
  86. 1H_ema100: 
    111573
  87. 1H_price_ema100_diff: 
    -0.0351678
  88. 1H_price: 
    107650
  89. 1H_correlation_with_coin: 
    0.008373
    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] => 0.02785
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 3.8791495710556
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 3.8791495710556
            [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 19:15:00
                    [1] => 0.02785
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 2.3144746509919
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 2.3144746509919
            [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 19:30:00
                    [1] => 0.02785
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 2.3144746509919
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 23
            [ms_last_swing_amplitude_pct] => 0
            [ms_bos_up] => 0
            [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
2.31%
Bars Since Swing High
0 bars
Bars Since Swing Low
23 bars
Last Swing Amplitude Pct
0.00%
Bos Up
0
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
0.0008
3.04%
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 19:30:00 0.02785 ↑ 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
2.31%
Bars Since Swing High
1 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
2.31%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0045
16.06%
TP to Pivot Distance
0.0008
3.04%
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 19:15:00 0.02785 ↑ 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
3.88%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
3.88%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0062
22.15%
TP to Pivot Distance
0.0008
3.04%
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 0.02785 ↑ High

📌 Time Data

Start at Closed at Duration
30 Oct 2025
19:31:01		 30 Oct 2025
19:50:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02785 0.02795 0.02765 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 0.02785
  • Stop Loss: 0.02795
  • Take Profit: 0.02765

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02795 - 0.02785 = 9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02785 - 0.02765 = 0.0002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0002 / 9.9999999999999E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
2226.48 100 79945.4216 22.26
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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.02785 = 2228

Donc, tu peux acheter 80000 avec un stoploss a 0.02795

Avec un position size USD de 2228$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 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 2228
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.72 % 15.99 $
SL % Target SL $ Target
0.36 % 7.99 $
PNL PNL %
-7.99 $ -0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4309 % 119.99 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02765
            [entry_price] => 0.02785
            [stop_loss] => 0.02796
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-30 19:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02765
            [entry_price] => 0.02785
            [stop_loss] => 0.02797
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-30 19:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02765
            [entry_price] => 0.02785
            [stop_loss] => 0.02798
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.02765
            [entry_price] => 0.02785
            [stop_loss] => 0.028
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-30 20:05:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00067
            [max_drawdown] => 0.00018
            [rr_ratio] => 3.72
            [high] => 0.02803000
            [low] => 0.02718000
            [mfe_pct] => 2.41
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 3.72
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T19:31:01-04:00
            [end_at] => 2025-10-30T21:31:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00067
            [max_drawdown] => 0.00028
            [rr_ratio] => 2.39
            [high] => 0.02813000
            [low] => 0.02718000
            [mfe_pct] => 2.41
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 2.39
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T19:31:01-04:00
            [end_at] => 2025-10-31T02:31:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02785000
            [high_after] => 0.02813000
            [low_before] => 0.02681000
            [low_after] => 0.02718000
            [is_new_high] => 
            [is_new_low] => 
        )

)