09 Jun 2026 at 10:26:21

Short Trade on TIA (BosPullback)

With 776.57 TIA at 0.319$ per unit. Take profit: 0.2934 (8.08 %) & Stop Loss: 0.3295 (3.23 %)

Short BosPullback on TIA (09 Jun 2026 at 10:26:21 to 00:50:00 - 1 day )

With 776.5686 TIA at 0.3192$ per unit.

Position size of 247.8807 $
Take profit at 0.2934 (8.08 %) and Stop Loss at 0.3295 (3.23 %)

That's a 2.5 RR Trade
Duration: 1 day

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 5.45
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_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low_confirmed

Score : 3

ml_regime : range_high

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high

tf_aligned : 1

09/06 10:07

BTC Correlation Coin Market Regime

1H_regime : range_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral transition bearish_transition moderate fading compression bear_high
70%
08/06 16:00
1h ↑ up transition bullish_transition moderate grind compression bull_high
75%
08/06 21:00
15m ↔ neutral range range moderate balanced compression bull_medium
74%
08/06 21:45
5m ↔ neutral range range moderate grind compression range_low
49%
08/06 21:55

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.72
  3. reason: bos_pullback_short|score=1|shallow|bars_since_bos=12|retests=1|break_atr=0.37|prog=0.46|zone=tested
  4. stop_price: 0.32950173
  5. tp_price: 0.29344567
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
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 : 0.854
  12. trend_strength : 0.0732
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.1662
  15. low_delta_atr : -0.8495
  16. current_swing_amp_atr : 4.3998
  17. current_swing_speed : 0.39998
  18. current_swing_efficiency : 0.3939
  19. retracement_ratio : 1.0429
  20. extension_ratio : 1.3354
  21. compression_score : 1.0381
  22. swing_entropy : 1
  23. breakout_strength : -1.6806
  24. distance_to_last_high_atr : -1.8468
  25. distance_to_last_low_atr : 2.1977
  26. pivot_count : 23
  27. swing_count : 22
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.3289
  31. last_pivot_index:
    148
  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 : balanced
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.482
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.46
  49. scores_strength_score:
    0.5282
  50. scores_quality_score:
    0.4395
  51. scores_cleanliness_score:
    0.2688
  52. scores_structural_quality:
    0.5792
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2079
  55. scores_continuation_score:
    0.4966
  56. scores_structure_score:
    0.2878
  57. scores_volatility_expansion:
    0.6028
  58. scores_momentum_type_score:
    0.4985
  59. scores_risk_score:
    0.5531
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0487
  62. features_ema50_slope:
    0.0305
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    -0.044
  65. features_price_vs_ema50:
    0.2825
  66. features_recent_hh_hl_score:
    0.25
  67. features_recent_lh_ll_score:
    0.75
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    12
  70. features_candle_overlap_ratio:
    0.9474
  71. features_wick_ratio:
    0.515
  72. features_trend_efficiency:
    0.3939
  73. features_impulse_strength:
    4.3998
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.0429
  76. features_pullback_depth_atr:
    4.019
  77. features_extension_from_mean:
    0.2825
  78. features_impulse_decay_score:
    0.3323
  79. features_opposing_wick_pressure:
    0.201
  80. features_volatility_percentile:
    0.6
  81. features_volatility_delta:
    0.0642
  82. features_body_ratio:
    0.5305
  83. features_closes_position_ratio:
    0.5582
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.5531
  86. features_distance_to_recent_high:
    -5.9717
  87. features_distance_to_recent_low:
    7.3894
  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 : 0.0545
  99. obi_top10 : 0.0259
  100. micro_price : 0.31838171
  101. spread_pct : 0.062834
  102. mid_price : 0.3184
  103. bid_wall_price : 0.317
  104. bid_wall_size : 308582.5
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.32
  107. ask_wall_size : 291379.88
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0083
  111. obi_top5_std : 0.0385
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7498
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-06-04 02:00:00
        [price] => 0.3265
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-04 04:00:00
        [price] => 0.36
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-04 11:00:00
        [price] => 0.3273
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-04 15:00:00
        [price] => 0.3526
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-05 06:00:00
        [price] => 0.301
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-05 09:00:00
        [price] => 0.3213
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-05 16:00:00
        [price] => 0.2911
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-05 17:00:00
        [price] => 0.3087
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-05 19:00:00
        [price] => 0.2844
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-05 22:00:00
        [price] => 0.3076
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-06 05:00:00
        [price] => 0.2772
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-07 09:00:00
        [price] => 0.3274
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-07 12:00:00
        [price] => 0.3102
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-07 14:00:00
        [price] => 0.3203
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-07 19:00:00
        [price] => 0.3026
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-07 22:00:00
        [price] => 0.3341
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-08 01:00:00
        [price] => 0.3116
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-08 16:00:00
        [price] => 0.328
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-09 02:00:00
        [price] => 0.307
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-09 13:00:00
        [price] => 0.3289
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-08 15:15:00
        [price] => 0.3266
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-08 15:45:00
        [price] => 0.3221
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-08 16:15:00
        [price] => 0.328
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-08 17:00:00
        [price] => 0.3199
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-08 18:15:00
        [price] => 0.3274
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-08 20:15:00
        [price] => 0.3203
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-08 21:00:00
        [price] => 0.3274
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-09 00:45:00
        [price] => 0.3084
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-09 01:45:00
        [price] => 0.3125
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-09 02:30:00
        [price] => 0.307
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-09 07:00:00
        [price] => 0.3218
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-09 08:00:00
        [price] => 0.3171
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-09 08:30:00
        [price] => 0.3212
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-09 10:00:00
        [price] => 0.3146
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-09 10:45:00
        [price] => 0.3195
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-09 11:15:00
        [price] => 0.3156
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-09 13:00:00
        [price] => 0.3281
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-09 13:30:00
        [price] => 0.3231
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 0
  162. bos_level_short : 0.3116
  163. strategy_details
  164. levels_hl_price:
    0.307
  165. levels_hl_timestamp: 2026-06-09 02:00:00
  166. levels_hh_price:
    0.3289
  167. levels_lh_price:
    0.3289
  168. levels_lh_timestamp: 2026-06-09 13:00:00
  169. levels_ll_price:
    0.307
  170. strategy_details
  171. demand_zone_top:
    0.3125
  172. demand_zone_bottom:
    0.307
  173. demand_zone_mid:
    0.30975
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.8231
  176. strategy_details
  177. supply_zone_top:
    0.328
  178. supply_zone_bottom:
    0.3175
  179. supply_zone_mid:
    0.32275
  180. supply_zone_freshness: tested
  181. supply_zone_strength:
    0.6718
  182. ¸
  183. regimes
  184. 1H : range_high
  185. 15m : range_high
  186. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 10:26 0.31920000 0%
2 10:27 0.31920000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 85%

Trend

Trend Strength
0.073
Persistence
0.500
High Δ ATR
0.166
Low Δ ATR
-0.850

Current Swing

Amp ATR
4.400
Speed
0.400
Efficiency
0.394

Structure

Retracement
1.043
Extension
1.335
Compression
1.038
Entropy
1.000
Breakout Str.
-1.681
Dist High ATR
-1.847
Dist Low ATR
2.198
23 pivots · 22 swings · Last pivot: ↑ 0.3289 @ bar 148

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 48%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion
risk mid_range
htf unknown
Scores
Direction Score 0.460
Strength Score 0.528
Quality Score 0.440
Cleanliness Score 0.269
Structural Quality 0.579
Pullback Score 1.000
Exhaustion Score 0.208
Continuation Score 0.497
Structure Score 0.288
Volatility Expansion 0.603
Momentum Type Score 0.499
Risk Score 0.553
Features
Ema20 Slope
0.049
Ema50 Slope
0.031
Ema Alignment Score
0.667
Price Vs Ema20
-0.044
Price Vs Ema50
0.283
Recent Hh Hl Score
0.250
Recent Lh Ll Score
0.750
Last Bos Direction
-1.000
Bars Since Last Bos
12.000
Candle Overlap Ratio
0.947
Wick Ratio
0.515
Trend Efficiency
0.394
Impulse Strength
4.400
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.043
Pullback Depth Atr
4.019
Extension From Mean
0.283
Impulse Decay Score
0.332
Opposing Wick Pressure
0.201
Volatility Percentile
0.600
Volatility Delta
0.064
Body Ratio
0.531
Closes Position Ratio
0.558
Slope Consistency
0.000
Range Position
0.553
Distance To Recent High
-5.972
Distance To Recent Low
7.389
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7498ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 0.055
avg -0.008 ± 0.039
OBI Top 10 0.026

Microstructure

Mid Price
0.3184
Micro Price
0.3184
Spread
0.0628%

↑ Bid Wall (Support)

Price
0.3170
Size
308,582.50

↓ Ask Wall (Resistance)

Price
0.3200
Size
291,379.88

📌 Time Data

Start at Closed at Duration
09 Jun 2026
10:26:21
11 Jun 2026
00:50:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3192 0.3295 0.2934 2.5 0.3258
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 0.3192
  • Stop Loss: 0.3295
  • Take Profit: 0.2934

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3295 - 0.3192 = 0.0103

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3192 - 0.2934 = 0.0258

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0258 / 0.0103 = 2.5049

📌 Position Size

Amount Margin Quantity Leverage
247.8807 100 776.5686 2.48
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 0.0103

Taille de position = 8 / 0.0103 = 776.7

Taille de position USD = 776.7 x 0.3192 = 247.92

Donc, tu peux acheter 776.7 avec un stoploss a 0.3295

Avec un position size USD de 247.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 776.7 x 0.0103 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 776.7 x 0.0258 = 20.04

Si Take Profit atteint, tu gagneras 20.04$

Résumé

  • Taille de position 776.7
  • Taille de position USD 247.92
  • Perte potentielle 8
  • Gain potentiel 20.04
  • Risk-Reward Ratio 2.5049

📌 Peformances

TP % Target TP $ Target
8.08 % 20.04 $
SL % Target SL $ Target
3.23 % 8 $
PNL PNL %
-8 $ -3.23
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.2895 % 101.94 % 57

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0094
            [max_drawdown] => 0.0028
            [rr_ratio] => 3.36
            [high] => 0.32200000
            [low] => 0.30980000
            [mfe_pct] => 2.94
            [mae_pct] => 0.88
            [mfe_mae_ratio] => 3.36
            [candles_analyzed] => 24
            [start_at] => 2026-06-09T10:26:21-04:00
            [end_at] => 2026-06-09T12:26:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0113
            [max_drawdown] => 0.0089
            [rr_ratio] => 1.27
            [high] => 0.32810000
            [low] => 0.30790000
            [mfe_pct] => 3.54
            [mae_pct] => 2.79
            [mfe_mae_ratio] => 1.27
            [candles_analyzed] => 84
            [start_at] => 2026-06-09T10:26:21-04:00
            [end_at] => 2026-06-09T17:26:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.32890000
            [high_after] => 0.32440000
            [low_before] => 0.31560000
            [low_after] => 0.30790000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
N/A
seuil : top 15 · score du 09/06/2026 10:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
3 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime