01 Jun 2026 at 20:26:39

Short Trade on TAO (BosPullback)

With 1.48 TAO at 251.88$ per unit. Take profit: 238.3387 (5.38 %) & Stop Loss: 257.2965 (2.15 %)

Short BosPullback on TAO (01 Jun 2026 at 20:26:39 to 11:25:00 - 14 hours )

With 1.477 TAO at 251.88$ per unit.

Position size of 372.0169 $
Take profit at 238.3387 (5.38 %) and Stop Loss at 257.2965 (2.15 %)

That's a 2.5 RR Trade
Duration: 14 hours

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 7.3
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime BTC Market Regime V2

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

Score : 2

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium_confirmed

tf_aligned : 1

01/06 20:02

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate grind compression bear_high
75%
01/06 20:00
1h ↓ down early_expansion bearish_transition moderate balanced expansion bear_high
76%
01/06 23:00
15m ↔ neutral range range moderate grind normal range_medium
46%
02/06 00:00
5m ↔ neutral range range strong balanced compression range_low
48%
02/06 00:10

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=11|retests=1|break_atr=1.20|prog=0.40|zone=weak
  4. stop_price: 257.29652761
  5. tp_price: 238.33868098
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : pullback_down
  11. confidence : 0.58
  12. trend_strength : -0.0739
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.2495
  15. low_delta_atr : -1.9223
  16. current_swing_amp_atr : 3.5127
  17. current_swing_speed : 0.58545
  18. current_swing_efficiency : 0.4085
  19. retracement_ratio : 0.9385
  20. extension_ratio : 1.784
  21. compression_score : 1.0402
  22. swing_entropy : 1
  23. breakout_strength : -1.7609
  24. distance_to_last_high_atr : -1.5114
  25. distance_to_last_low_atr : 2.295
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    256.94
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.564
  46. state : down_bearish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3065
  49. scores_strength_score:
    0.5583
  50. scores_quality_score:
    0.3678
  51. scores_cleanliness_score:
    0.251
  52. scores_structural_quality:
    0.4633
  53. scores_pullback_score:
    0.9385
  54. scores_exhaustion_score:
    0.1533
  55. scores_continuation_score:
    0.4516
  56. scores_structure_score:
    0.3421
  57. scores_volatility_expansion:
    0.4454
  58. scores_momentum_type_score:
    0.4652
  59. scores_risk_score:
    0.3527
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0174
  62. features_ema50_slope:
    -0.0068
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.1285
  65. features_price_vs_ema50:
    -0.4303
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    11
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4979
  72. features_trend_efficiency:
    0.4085
  73. features_impulse_strength:
    4.1123
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.9385
  76. features_pullback_depth_atr:
    3.8594
  77. features_extension_from_mean:
    -0.4303
  78. features_impulse_decay_score:
    0.108
  79. features_opposing_wick_pressure:
    0.2899
  80. features_volatility_percentile:
    0.58
  81. features_volatility_delta:
    -0.1539
  82. features_body_ratio:
    0.4745
  83. features_closes_position_ratio:
    0.4982
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.3527
  86. features_distance_to_recent_high:
    -4.3058
  87. features_distance_to_recent_low:
    2.3464
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    1
  91. features_htf_trend_strength:
    
                                                                                                                                
  92. features_htf_compression_score:
    
                                                                                                                                
  93. features_htf_entropy_score:
    
                                                                                                                                
  94. features_htf_hh_hl_score:
    
                                                                                                                                
  95. features_htf_state_str:
    
                                                                                                                                
  96. ¸
  97. orderbook_context
  98. obi_top5 : 0.0298
  99. obi_top10 : 0.0855
  100. micro_price : 251.815
  101. spread_pct : 0.019858
  102. mid_price : 251.815
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price :
  107. ask_wall_size :
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0298
  111. obi_top5_std : 0.0006
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7195
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 253.49
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-28 21:00:00
        [price] => 264.7
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 253.55
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-29 06:00:00
        [price] => 260.94
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 246.41
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-29 15:00:00
        [price] => 260.21
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-29 21:00:00
        [price] => 245.5
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 253.92
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 246.41
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-30 21:00:00
        [price] => 257.41
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-30 22:00:00
        [price] => 253.02
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-31 03:00:00
        [price] => 260.3
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 07:00:00
        [price] => 255.62
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-31 09:00:00
        [price] => 260.27
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-31 16:00:00
        [price] => 249.72
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 258.89
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-01 02:00:00
        [price] => 250.52
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-01 03:00:00
        [price] => 257.79
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 13:00:00
        [price] => 243.97
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 19:00:00
        [price] => 256.94
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-01 00:45:00
        [price] => 258.89
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-01 02:00:00
        [price] => 250.52
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-01 03:30:00
        [price] => 257.79
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-01 06:30:00
        [price] => 248.85
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-01 07:15:00
        [price] => 252.1
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-01 08:30:00
        [price] => 248.33
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-01 09:45:00
        [price] => 252.48
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-01 12:00:00
        [price] => 247.79
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-01 12:45:00
        [price] => 251.34
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-01 13:45:00
        [price] => 243.97
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-01 15:30:00
        [price] => 248.93
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-01 16:15:00
        [price] => 245.54
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-01 17:45:00
        [price] => 255.09
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-01 18:00:00
        [price] => 251.44
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 19:45:00
        [price] => 256.94
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 22:30:00
        [price] => 249.66
        [kind] => low
        [label] => LL
    )
    
  159. bos_level_long : 0
  160. bos_level_short : 250.52
  161. strategy_details
  162. levels_hl_price:
    243.97
  163. levels_hl_timestamp: 2026-06-01 13:00:00
  164. levels_hh_price:
    256.94
  165. levels_lh_price:
    256.94
  166. levels_lh_timestamp: 2026-06-01 19:00:00
  167. levels_ll_price:
    243.97
  168. demand_zone :
  169. strategy_details
  170. supply_zone_top:
    260.94
  171. supply_zone_bottom:
    257.23
  172. supply_zone_mid:
    259.085
  173. supply_zone_freshness: weak
  174. supply_zone_strength:
    0.8822
  175. ¸
  176. regimes
  177. 1H : bear_high
  178. 15m : range_medium
  179. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 58%

Trend

Trend Strength
-0.074
Persistence
0.500
High Δ ATR
-0.250
Low Δ ATR
-1.922

Current Swing

Amp ATR
3.513
Speed
0.585
Efficiency
0.409

Structure

Retracement
0.939
Extension
1.784
Compression
1.040
Entropy
1.000
Breakout Str.
-1.761
Dist High ATR
-1.511
Dist Low ATR
2.295
29 pivots · 28 swings · Last pivot: ↑ 256.9400 @ bar 144

Trend Analyzer 1H

1H ↓ down down_bearish_transition_balanced
Confidence 56%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.307
Strength Score 0.558
Quality Score 0.368
Cleanliness Score 0.251
Structural Quality 0.463
Pullback Score 0.939
Exhaustion Score 0.153
Continuation Score 0.452
Structure Score 0.342
Volatility Expansion 0.445
Momentum Type Score 0.465
Risk Score 0.353
Features
Ema20 Slope
0.017
Ema50 Slope
-0.007
Ema Alignment Score
0.000
Price Vs Ema20
-0.129
Price Vs Ema50
-0.430
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
-1.000
Bars Since Last Bos
11.000
Candle Overlap Ratio
1.000
Wick Ratio
0.498
Trend Efficiency
0.409
Impulse Strength
4.112
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.939
Pullback Depth Atr
3.859
Extension From Mean
-0.430
Impulse Decay Score
0.108
Opposing Wick Pressure
0.290
Volatility Percentile
0.580
Volatility Delta
-0.154
Body Ratio
0.475
Closes Position Ratio
0.498
Slope Consistency
0.000
Range Position
0.353
Distance To Recent High
-4.306
Distance To Recent Low
2.346
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7195ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.030
avg 0.030 ± 0.001
OBI Top 10 0.086

Microstructure

Mid Price
251.8150
Micro Price
251.8150
Spread
0.0199%

📌 Time Data

Start at Closed at Duration
01 Jun 2026
20:26:39
02 Jun 2026
11:25:00
14 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
251.88 257.2965 238.3387 2.5 202.82
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 251.88
  • Stop Loss: 257.2965
  • Take Profit: 238.3387

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 257.2965 - 251.88 = 5.4165

  • Récompense (distance jusqu'au take profit):

    E - TP = 251.88 - 238.3387 = 13.5413

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 13.5413 / 5.4165 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
372.0169 100 1.477 3.72
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 5.4165

Taille de position = 8 / 5.4165 = 1.48

Taille de position USD = 1.48 x 251.88 = 372.78

Donc, tu peux acheter 1.48 avec un stoploss a 257.2965

Avec un position size USD de 372.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.48 x 5.4165 = 8.02

Si Stop Loss atteint, tu perdras 8.02$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.48 x 13.5413 = 20.04

Si Take Profit atteint, tu gagneras 20.04$

Résumé

  • Taille de position 1.48
  • Taille de position USD 372.78
  • Perte potentielle 8.02
  • Gain potentiel 20.04
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
5.38 % 20 $
SL % Target SL $ Target
2.15 % 8 $
PNL PNL %
20 $ 5.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2982 % 60.37 % 14

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 7.1
            [max_drawdown] => 0.73000000000002
            [rr_ratio] => 9.73
            [high] => 252.61000000
            [low] => 244.78000000
            [mfe_pct] => 2.82
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 9.73
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T20:26:39-04:00
            [end_at] => 2026-06-01T22:26:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 7.1
            [max_drawdown] => 3.27
            [rr_ratio] => 2.17
            [high] => 255.15000000
            [low] => 244.78000000
            [mfe_pct] => 2.82
            [mae_pct] => 1.3
            [mfe_mae_ratio] => 2.17
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T20:26:39-04:00
            [end_at] => 2026-06-02T03:26:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 255.82000000
            [high_after] => 255.15000000
            [low_before] => 249.66000000
            [low_after] => 244.78000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?

Quality Rank
#85 / n/a OUT
seuil : top 15 · score du 01/06/2026 20:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime