01 Jun 2026 at 22:51:50

Long Trade on INJ (BosPullback)

With 23.54 INJ at 7.099$ per unit. Take profit: 7.9487 (11.97 %) & Stop Loss: 6.7591 (4.79 %)

Long BosPullback on INJ (01 Jun 2026 at 22:51:50 to 11:30:00 - 12 hours )

With 23.5376 INJ at 7.099$ per unit.

Position size of 167.0932 $
Take profit at 7.9487 (11.97 %) and Stop Loss at 6.7591 (4.79 %)

That's a 2.5 RR Trade
Duration: 12 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 5.2
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_confirmed

rules_regime_5m : bear_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium_confirmed

tf_aligned : 1

01/06 22:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up transition bullish_transition moderate grind compression bull_high
84%
02/06 00:00
1h ↑ up range range moderate balanced expansion bull_high
80%
02/06 02:00
15m ↑ up range range moderate grind compression bull_high
74%
02/06 02:30
5m ↔ neutral range range moderate fading normal bull_high
73%
02/06 02:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.69
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=7|retests=1|break_atr=0.40|prog=0.59|zone=tested|ob:ask_pressure(-0.10)
  4. stop_price: 6.75911784
  5. tp_price: 7.94870539
  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 : 0.661
  12. trend_strength : 0.1693
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.4864
  15. low_delta_atr : -0.7076
  16. current_swing_amp_atr : 2.7047
  17. current_swing_speed : 0.90157
  18. current_swing_efficiency : 0.5027
  19. retracement_ratio : 1.3429
  20. extension_ratio : 1.757
  21. compression_score : 0.7318
  22. swing_entropy : 1
  23. breakout_strength : -0.9238
  24. distance_to_last_high_atr : -1.14
  25. distance_to_last_low_atr : 1.6313
  26. pivot_count : 36
  27. swing_count : 35
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    6.779
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  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 : volatile_reversal
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.477
  46. state : up_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6491
  49. scores_strength_score:
    0.5094
  50. scores_quality_score:
    0.377
  51. scores_cleanliness_score:
    0.2685
  52. scores_structural_quality:
    0.4658
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2653
  55. scores_continuation_score:
    0.5551
  56. scores_structure_score:
    0.4846
  57. scores_volatility_expansion:
    0.94
  58. scores_momentum_type_score:
    0.6814
  59. scores_risk_score:
    0.8894
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0583
  62. features_ema50_slope:
    0.0557
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.9938
  65. features_price_vs_ema50:
    1.8058
  66. features_recent_hh_hl_score:
    0.7
  67. features_recent_lh_ll_score:
    0.3
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.463
  72. features_trend_efficiency:
    0.5027
  73. features_impulse_strength:
    2.7047
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.3429
  76. features_pullback_depth_atr:
    3.0175
  77. features_extension_from_mean:
    1.8058
  78. features_impulse_decay_score:
    0.1215
  79. features_opposing_wick_pressure:
    0.2349
  80. features_volatility_percentile:
    0.9
  81. features_volatility_delta:
    0.405
  82. features_body_ratio:
    0.6203
  83. features_closes_position_ratio:
    0.5491
  84. features_slope_consistency:
    0.7878
  85. features_range_position:
    0.8894
  86. features_distance_to_recent_high:
    -1.0615
  87. features_distance_to_recent_low:
    8.5334
  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 : -0.3056
  99. obi_top10 : 0.0509
  100. micro_price : 7.10866785
  101. spread_pct : 0.042206
  102. mid_price : 7.1095
  103. bid_wall_price : 7.06
  104. bid_wall_size : 18089.56
  105. bid_wall_dist_atr :
  106. ask_wall_price : 7.13
  107. ask_wall_size : 19635.2
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.3198
  111. obi_top5_std : 0.0154
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 7201
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-29 15:00:00
        [price] => 6.707
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-29 19:00:00
        [price] => 6.296
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-29 20:00:00
        [price] => 6.618
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-30 00:00:00
        [price] => 6.314
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-30 06:00:00
        [price] => 7.05
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-30 08:00:00
        [price] => 6.436
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-30 15:00:00
        [price] => 6.963
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-31 04:00:00
        [price] => 6.435
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-31 05:00:00
        [price] => 6.65
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-31 10:00:00
        [price] => 6.444
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-31 12:00:00
        [price] => 6.742
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-31 17:00:00
        [price] => 6.292
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 23:00:00
        [price] => 6.641
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-01 02:00:00
        [price] => 6.41
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-01 03:00:00
        [price] => 6.702
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-01 08:00:00
        [price] => 6.391
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-01 16:00:00
        [price] => 7.244
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-01 17:00:00
        [price] => 6.923
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 19:00:00
        [price] => 7.343
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 22:00:00
        [price] => 6.779
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-01 02:00:00
        [price] => 6.578
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-01 02:15:00
        [price] => 6.41
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-01 03:30:00
        [price] => 6.702
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-01 04:45:00
        [price] => 6.453
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-01 05:15:00
        [price] => 6.694
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-01 08:00:00
        [price] => 6.391
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-01 11:30:00
        [price] => 6.76
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-01 12:00:00
        [price] => 6.558
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-01 12:45:00
        [price] => 6.865
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-01 13:45:00
        [price] => 6.668
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-01 14:30:00
        [price] => 6.89
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-01 14:45:00
        [price] => 6.691
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-01 16:30:00
        [price] => 7.244
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-01 17:30:00
        [price] => 6.923
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 19:45:00
        [price] => 7.343
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 22:00:00
        [price] => 6.779
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 23:00:00
        [price] => 7.092
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-02 02:00:00
        [price] => 6.833
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 7.244
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    6.779
  165. levels_hl_timestamp: 2026-06-01 22:00:00
  166. levels_hh_price:
    7.343
  167. levels_lh_price:
    7.343
  168. levels_lh_timestamp: 2026-06-01 19:00:00
  169. levels_ll_price:
    6.779
  170. strategy_details
  171. demand_zone_top:
    6.694
  172. demand_zone_bottom:
    6.391
  173. demand_zone_mid:
    6.5425
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.772
  176. strategy_details
  177. supply_zone_top:
    7.343
  178. supply_zone_bottom:
    6.978
  179. supply_zone_mid:
    7.1605
  180. supply_zone_freshness: tested
  181. supply_zone_strength:
    0.7106
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : bull_high
  186. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 22:51 7.09900000 0%
2 22:59 7.09900000 0%
3 23:08 7.12700000 +0.394%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 66%

Trend

Trend Strength
0.169
Persistence
0.500
High Δ ATR
0.486
Low Δ ATR
-0.708

Current Swing

Amp ATR
2.705
Speed
0.902
Efficiency
0.503

Structure

Retracement
1.343
Extension
1.757
Compression
0.732
Entropy
1.000
Breakout Str.
-0.924
Dist High ATR
-1.140
Dist Low ATR
1.631
36 pivots · 35 swings · Last pivot: ↓ 6.7790 @ bar 145

Trend Analyzer 1H

1H ↑ up up_range_balanced
Confidence 48%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility volatile_reversal
risk approaching_resistance
htf unknown
Scores
Direction Score 0.649
Strength Score 0.509
Quality Score 0.377
Cleanliness Score 0.269
Structural Quality 0.466
Pullback Score 1.000
Exhaustion Score 0.265
Continuation Score 0.555
Structure Score 0.485
Volatility Expansion 0.940
Momentum Type Score 0.681
Risk Score 0.889
Features
Ema20 Slope
0.058
Ema50 Slope
0.056
Ema Alignment Score
1.000
Price Vs Ema20
0.994
Price Vs Ema50
1.806
Recent Hh Hl Score
0.700
Recent Lh Ll Score
0.300
Last Bos Direction
-1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.463
Trend Efficiency
0.503
Impulse Strength
2.705
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.343
Pullback Depth Atr
3.018
Extension From Mean
1.806
Impulse Decay Score
0.122
Opposing Wick Pressure
0.235
Volatility Percentile
0.900
Volatility Delta
0.405
Body Ratio
0.620
Closes Position Ratio
0.549
Slope Consistency
0.788
Range Position
0.889
Distance To Recent High
-1.062
Distance To Recent Low
8.533
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 7201ms Confidence avant OB : 79%69%

Order Book Imbalance

OBI Top 5 -0.306
avg -0.320 ± 0.015
OBI Top 10 0.051

Microstructure

Mid Price
7.1095
Micro Price
7.1087
Spread
0.0422%

↑ Bid Wall (Support)

Price
7.0600
Size
18,089.56

↓ Ask Wall (Resistance)

Price
7.1300
Size
19,635.20

📌 Time Data

Start at Closed at Duration
01 Jun 2026
22:51:50
02 Jun 2026
11:30:00
12 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
7.099 6.7591 7.9487 2.5 4.951
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 7.099
  • Stop Loss: 6.7591
  • Take Profit: 7.9487

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.7591 - 7.099 = -0.3399

  • Récompense (distance jusqu'au take profit):

    E - TP = 7.099 - 7.9487 = -0.8497

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.8497 / -0.3399 = 2.4999

📌 Position Size

Amount Margin Quantity Leverage
167.0932 100 23.5376 1.67
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 -0.3399

Taille de position = 8 / -0.3399 = -23.54

Taille de position USD = -23.54 x 7.099 = -167.11

Donc, tu peux acheter -23.54 avec un stoploss a 6.7591

Avec un position size USD de -167.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -23.54 x -0.3399 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -23.54 x -0.8497 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -23.54
  • Taille de position USD -167.11
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.4999

📌 Peformances

TP % Target TP $ Target
11.97 % 20 $
SL % Target SL $ Target
4.79 % 8 $
PNL PNL %
-8 $ -4.79
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.1275 % 107.09 % 34

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.188
            [max_drawdown] => 0.057
            [rr_ratio] => 3.3
            [high] => 7.28700000
            [low] => 7.04200000
            [mfe_pct] => 2.65
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 3.3
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T22:51:50-04:00
            [end_at] => 2026-06-02T00:51:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.188
            [max_drawdown] => 0.2
            [rr_ratio] => 0.94
            [high] => 7.28700000
            [low] => 6.89900000
            [mfe_pct] => 2.65
            [mae_pct] => 2.82
            [mfe_mae_ratio] => 0.94
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T22:51:50-04:00
            [end_at] => 2026-06-02T05:51:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 7.12000000
            [high_after] => 7.28700000
            [low_before] => 6.83300000
            [low_after] => 6.89900000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#33 / n/a OUT
seuil : top 15 · score du 01/06/2026 22:00
Signal Confidence
69 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime