31 May 2026 at 21:10:11

Short Trade on TAO (BosPullback)

With 1.55 TAO at 255.41$ per unit. Take profit: 242.5175 (5.05 %) & Stop Loss: 260.567 (2.02 %)

Short BosPullback on TAO (31 May 2026 at 21:10:11 to 10:20:00 - 1 day )

With 1.5513 TAO at 255.41$ per unit.

Position size of 396.2158 $
Take profit at 242.5175 (5.05 %) and Stop Loss at 260.567 (2.02 %)

That's a 2.5 RR Trade
Duration: 1 day

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 5.69
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 : neutral

rules_regime : range_low

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

31/05 21:01

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 range range moderate grind compression bear_high
71%
31/05 20:00
1h ↔ neutral range range moderate grind expansion range_high
47%
01/06 00:00
15m ↑ up range range strong explosive expansion bull_medium
76%
01/06 00:45
5m ↑ up range range moderate grind normal bull_low
58%
01/06 01:00

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=9|retests=1|break_atr=1.65|prog=0.46|zone=weak
  4. stop_price: 260.56698793
  5. tp_price: 242.51753017
  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 : range
  11. confidence : 0.816
  12. trend_strength : 0.092
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.0107
  15. low_delta_atr : -2.1045
  16. current_swing_amp_atr : 3.7668
  17. current_swing_speed : 0.53812
  18. current_swing_efficiency : 0.4425
  19. retracement_ratio : 2.2688
  20. extension_ratio : 2.2543
  21. compression_score : 0.8456
  22. swing_entropy : 1
  23. breakout_strength : 0.0749
  24. distance_to_last_high_atr : -1.7335
  25. distance_to_last_low_atr : 2.0296
  26. pivot_count : 30
  27. swing_count : 29
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    249.72
  31. last_pivot_index:
    140
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.507
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4082
  49. scores_strength_score:
    0.5598
  50. scores_quality_score:
    0.3151
  51. scores_cleanliness_score:
    0.2297
  52. scores_structural_quality:
    0.385
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.0735
  55. scores_continuation_score:
    0.5162
  56. scores_structure_score:
    0.3511
  57. scores_volatility_expansion:
    0.7333
  58. scores_momentum_type_score:
    0.5411
  59. scores_risk_score:
    0.2764
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0403
  62. features_ema50_slope:
    0.0093
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.0258
  65. features_price_vs_ema50:
    -0.0794
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5406
  72. features_trend_efficiency:
    0.4425
  73. features_impulse_strength:
    3.7668
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    2.2688
  76. features_pullback_depth_atr:
    3.8912
  77. features_extension_from_mean:
    -0.0794
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2662
  80. features_volatility_percentile:
    0.72
  81. features_volatility_delta:
    0.1519
  82. features_body_ratio:
    0.4753
  83. features_closes_position_ratio:
    0.502
  84. features_slope_consistency:
    0.4182
  85. features_range_position:
    0.2764
  86. features_distance_to_recent_high:
    -8.9972
  87. features_distance_to_recent_low:
    3.4373
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    0
  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 : 0.101
  99. obi_top10 : 0.137
  100. micro_price : 255.61373623
  101. spread_pct : 0.019564
  102. mid_price : 255.595
  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 : 0.1026
  111. obi_top5_std : 0.0018
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7269
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 280.11
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-27 18:00:00
        [price] => 267.17
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-27 20:00:00
        [price] => 274.6
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-28 06:00:00
        [price] => 254.69
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-28 09:00:00
        [price] => 262.8
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 253.49
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-28 21:00:00
        [price] => 264.7
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 253.55
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-29 06:00:00
        [price] => 260.94
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 246.41
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-29 15:00:00
        [price] => 260.21
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-29 21:00:00
        [price] => 245.5
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 253.92
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 246.41
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-30 21:00:00
        [price] => 257.41
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-30 22:00:00
        [price] => 253.02
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-31 03:00:00
        [price] => 260.3
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-31 07:00:00
        [price] => 255.62
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-31 09:00:00
        [price] => 260.27
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-31 16:00:00
        [price] => 249.72
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-31 02:15:00
        [price] => 259.14
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 02:45:00
        [price] => 256.43
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 03:30:00
        [price] => 260.3
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 06:00:00
        [price] => 257.01
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 06:45:00
        [price] => 259.89
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 07:30:00
        [price] => 255.62
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-31 09:45:00
        [price] => 260.27
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-31 10:15:00
        [price] => 256.39
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-31 12:15:00
        [price] => 259.58
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-31 14:15:00
        [price] => 252.34
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-31 15:15:00
        [price] => 255.43
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-31 16:45:00
        [price] => 249.72
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-31 17:45:00
        [price] => 253.22
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-31 19:30:00
        [price] => 250.58
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-31 21:45:00
        [price] => 256.47
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-31 22:00:00
        [price] => 254.38
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-31 23:00:00
        [price] => 258.42
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-31 23:30:00
        [price] => 254.04
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-01 00:45:00
        [price] => 258.89
        [kind] => high
        [label] => LH
    )
    
  162. bos_level_long : 0
  163. bos_level_short : 255.62
  164. strategy_details
  165. levels_hl_price:
    249.72
  166. levels_hl_timestamp: 2026-05-31 16:00:00
  167. levels_hh_price:
    260.27
  168. levels_lh_price:
    260.27
  169. levels_lh_timestamp: 2026-05-31 09:00:00
  170. levels_ll_price:
    249.72
  171. strategy_details
  172. demand_zone_top:
    251.89
  173. demand_zone_bottom:
    246.41
  174. demand_zone_mid:
    249.15
  175. demand_zone_freshness: weak
  176. demand_zone_strength:
    0.9208
  177. strategy_details
  178. supply_zone_top:
    260.94
  179. supply_zone_bottom:
    257.23
  180. supply_zone_mid:
    259.085
  181. supply_zone_freshness: weak
  182. supply_zone_strength:
    0.8822
  183. ¸
  184. regimes
  185. 1H : bear_high
  186. 15m : range_medium
  187. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 21:10 255.41000000 0%
2 21:25 255.11000000 -0.117%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 82%

Trend

Trend Strength
0.092
Persistence
0.500
High Δ ATR
-0.011
Low Δ ATR
-2.105

Current Swing

Amp ATR
3.767
Speed
0.538
Efficiency
0.443

Structure

Retracement
2.269
Extension
2.254
Compression
0.846
Entropy
1.000
Breakout Str.
0.075
Dist High ATR
-1.734
Dist Low ATR
2.030
30 pivots · 29 swings · Last pivot: ↓ 249.7200 @ bar 140

Trend Analyzer 1H

1H ↔ neutral neutral_range_grind
Confidence 51%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.408
Strength Score 0.560
Quality Score 0.315
Cleanliness Score 0.230
Structural Quality 0.385
Pullback Score 1.000
Exhaustion Score 0.074
Continuation Score 0.516
Structure Score 0.351
Volatility Expansion 0.733
Momentum Type Score 0.541
Risk Score 0.276
Features
Ema20 Slope
0.040
Ema50 Slope
0.009
Ema Alignment Score
0.333
Price Vs Ema20
0.026
Price Vs Ema50
-0.079
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.541
Trend Efficiency
0.443
Impulse Strength
3.767
Directional Candle Ratio
0.600
Pullback Depth Ratio
2.269
Pullback Depth Atr
3.891
Extension From Mean
-0.079
Impulse Decay Score
0.000
Opposing Wick Pressure
0.266
Volatility Percentile
0.720
Volatility Delta
0.152
Body Ratio
0.475
Closes Position Ratio
0.502
Slope Consistency
0.418
Range Position
0.276
Distance To Recent High
-8.997
Distance To Recent Low
3.437
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7269ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.101
avg 0.103 ± 0.002
OBI Top 10 0.137

Microstructure

Mid Price
255.5950
Micro Price
255.6137
Spread
0.0196%

📌 Time Data

Start at Closed at Duration
31 May 2026
21:10:11
02 Jun 2026
10:20:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
255.41 260.567 242.5175 2.5 196.02
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 255.41
  • Stop Loss: 260.567
  • Take Profit: 242.5175

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 260.567 - 255.41 = 5.157

  • Récompense (distance jusqu'au take profit):

    E - TP = 255.41 - 242.5175 = 12.8925

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 12.8925 / 5.157 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
396.2158 100 1.5513 3.96
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 5.157

Taille de position = 8 / 5.157 = 1.55

Taille de position USD = 1.55 x 255.41 = 395.89

Donc, tu peux acheter 1.55 avec un stoploss a 260.567

Avec un position size USD de 395.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.55 x 5.157 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.55 x 12.8925 = 19.98

Si Take Profit atteint, tu gagneras 19.98$

Résumé

  • Taille de position 1.55
  • Taille de position USD 395.89
  • Perte potentielle 7.99
  • Gain potentiel 19.98
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
5.05 % 20 $
SL % Target SL $ Target
2.02 % 8 $
PNL PNL %
20 $ 5.05
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9318 % 46.15 % 16

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.89
            [max_drawdown] => 2.03
            [rr_ratio] => 2.41
            [high] => 257.44000000
            [low] => 250.52000000
            [mfe_pct] => 1.91
            [mae_pct] => 0.79
            [mfe_mae_ratio] => 2.41
            [candles_analyzed] => 24
            [start_at] => 2026-05-31T21:10:11-04:00
            [end_at] => 2026-05-31T23:10:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 6.97
            [max_drawdown] => 2.38
            [rr_ratio] => 2.93
            [high] => 257.79000000
            [low] => 248.44000000
            [mfe_pct] => 2.73
            [mae_pct] => 0.93
            [mfe_mae_ratio] => 2.93
            [candles_analyzed] => 84
            [start_at] => 2026-05-31T21:10:11-04:00
            [end_at] => 2026-06-01T04:10:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 258.89000000
            [high_after] => 257.79000000
            [low_before] => 253.56000000
            [low_after] => 248.85000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#53 / n/a OK
seuil : top 15 · score du 31/05/2026 21:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime