21 May 2026 at 19:19:02

Long Trade on INJ (BosPullback)

With 64.94 INJ at 5.256$ per unit. Take profit: 5.564 (5.86 %) & Stop Loss: 5.1328 (2.34 %)

Long BosPullback on INJ (21 May 2026 at 19:19:02 to 20:40:00 - 1 hour )

With 64.9444 INJ at 5.256$ per unit.

Position size of 341.3478 $
Take profit at 5.564 (5.86 %) and Stop Loss at 5.1328 (2.34 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.32
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_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : bear_medium

tf_aligned :

21/05 19:03

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 range range strong balanced normal bull_high
81%
21/05 16:00
1h ↑ up transition bullish_transition moderate balanced expansion_after_compression bull_high
84%
21/05 18:00
15m ↑ up range range moderate fading compression bull_high
73%
21/05 19:00
5m ↑ up transition bullish_transition moderate grind normal bull_medium
75%
21/05 19:05

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=5|retests=0|break_atr=1.05|prog=0.56|zone=tested
  4. stop_price: 5.13281771
  5. tp_price: 5.56395573
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : impulse_up
  11. confidence : 1
  12. trend_strength : 0.2694
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.4156
  15. low_delta_atr : 1.9632
  16. current_swing_amp_atr : 1.6375
  17. current_swing_speed : 1.63751
  18. current_swing_efficiency : 0.5811
  19. retracement_ratio : 0.4614
  20. extension_ratio : 1.3681
  21. compression_score : 0.8568
  22. swing_entropy : 1
  23. breakout_strength : -2.9106
  24. distance_to_last_high_atr : -0.7341
  25. distance_to_last_low_atr : 0.9474
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    5.145
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : early_expansion
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.646
  46. state : up_early_expansion_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7673
  49. scores_strength_score:
    0.5963
  50. scores_quality_score:
    0.4023
  51. scores_cleanliness_score:
    0.2238
  52. scores_structural_quality:
    0.5483
  53. scores_pullback_score:
    0.4614
  54. scores_exhaustion_score:
    0.37
  55. scores_continuation_score:
    0.7959
  56. scores_structure_score:
    0.7321
  57. scores_volatility_expansion:
    0.916
  58. scores_momentum_type_score:
    0.6602
  59. scores_risk_score:
    0.8239
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1461
  62. features_ema50_slope:
    0.078
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.2912
  65. features_price_vs_ema50:
    1.9412
  66. features_recent_hh_hl_score:
    0.65
  67. features_recent_lh_ll_score:
    0.35
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    5
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5523
  72. features_trend_efficiency:
    0.5811
  73. features_impulse_strength:
    3.5577
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.4614
  76. features_pullback_depth_atr:
    1.6415
  77. features_extension_from_mean:
    1.9412
  78. features_impulse_decay_score:
    0.3159
  79. features_opposing_wick_pressure:
    0.2951
  80. features_volatility_percentile:
    0.86
  81. features_volatility_delta:
    0.4259
  82. features_body_ratio:
    0.5218
  83. features_closes_position_ratio:
    0.5218
  84. features_slope_consistency:
    0.7263
  85. features_range_position:
    0.8239
  86. features_distance_to_recent_high:
    -1.4034
  87. features_distance_to_recent_low:
    6.5681
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : -0.0403
  99. obi_top10 : 0.0578
  100. micro_price : 5.26503094
  101. spread_pct : 0.037987
  102. mid_price : 5.266
  103. bid_wall_price : 5.24
  104. bid_wall_size : 37408.6
  105. bid_wall_dist_atr :
  106. ask_wall_price : 5.28
  107. ask_wall_size : 31455.44
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0164
  111. obi_top5_std : 0.0334
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7032
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : impulse_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 4.437
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-17 22:00:00
        [price] => 4.68
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 4.504
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 4.719
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 4.542
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-18 21:00:00
        [price] => 5.431
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-18 22:00:00
        [price] => 5.047
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-19 10:00:00
        [price] => 4.833
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-19 12:00:00
        [price] => 5.088
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-19 15:00:00
        [price] => 4.873
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-20 02:00:00
        [price] => 5.094
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-20 04:00:00
        [price] => 4.905
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-20 11:00:00
        [price] => 5.259
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-20 18:00:00
        [price] => 4.725
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-21 00:00:00
        [price] => 5.032
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-21 06:00:00
        [price] => 4.833
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-21 09:00:00
        [price] => 5.059
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-21 10:00:00
        [price] => 4.915
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-21 14:00:00
        [price] => 5.342
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-21 15:00:00
        [price] => 5.145
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-20 18:30:00
        [price] => 4.872
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-20 19:00:00
        [price] => 4.746
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-21 00:45:00
        [price] => 5.032
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-21 01:45:00
        [price] => 4.908
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-21 02:00:00
        [price] => 4.986
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-21 03:00:00
        [price] => 4.901
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-21 05:15:00
        [price] => 5.018
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-21 06:15:00
        [price] => 4.833
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-21 08:00:00
        [price] => 4.99
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-21 08:30:00
        [price] => 4.901
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-21 09:30:00
        [price] => 5.059
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-21 10:15:00
        [price] => 4.915
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-21 11:15:00
        [price] => 5.112
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-21 12:00:00
        [price] => 4.946
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-21 14:15:00
        [price] => 5.342
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-21 14:45:00
        [price] => 5.127
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-21 16:00:00
        [price] => 5.272
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-21 16:45:00
        [price] => 5.16
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-21 18:45:00
        [price] => 5.332
        [kind] => high
        [label] => HH
    )
    
  162. bos_level_long : 5.059
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    5.145
  166. levels_hl_timestamp: 2026-05-21 15:00:00
  167. levels_hh_price:
    5.342
  168. levels_lh_price:
    5.342
  169. levels_lh_timestamp: 2026-05-21 14:00:00
  170. levels_ll_price:
    5.145
  171. strategy_details
  172. demand_zone_top:
    5.059
  173. demand_zone_bottom:
    4.901
  174. demand_zone_mid:
    4.98
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.8334
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bull_high
  181. 15m : bull_high
  182. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 19:19 5.25600000 0%
2 19:56 5.26400000 +0.152%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ impulse_up
Confidence 100%

Trend

Trend Strength
0.269
Persistence
0.500
High Δ ATR
2.416
Low Δ ATR
1.963

Current Swing

Amp ATR
1.638
Speed
1.638
Efficiency
0.581

Structure

Retracement
0.461
Extension
1.368
Compression
0.857
Entropy
1.000
Breakout Str.
-2.911
Dist High ATR
-0.734
Dist Low ATR
0.947
27 pivots · 26 swings · Last pivot: ↓ 5.1450 @ bar 145

Trend Analyzer 1H

1H ↑ up up_early_expansion_balanced
Confidence 65%

Context

phase early_expansion
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion_after_compression
risk approaching_resistance
htf unknown
Scores
Direction Score 0.767
Strength Score 0.596
Quality Score 0.402
Cleanliness Score 0.224
Structural Quality 0.548
Pullback Score 0.461
Exhaustion Score 0.370
Continuation Score 0.796
Structure Score 0.732
Volatility Expansion 0.916
Momentum Type Score 0.660
Risk Score 0.824
Features
Ema20 Slope
0.146
Ema50 Slope
0.078
Ema Alignment Score
1.000
Price Vs Ema20
1.291
Price Vs Ema50
1.941
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
1.000
Bars Since Last Bos
5.000
Candle Overlap Ratio
1.000
Wick Ratio
0.552
Trend Efficiency
0.581
Impulse Strength
3.558
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.461
Pullback Depth Atr
1.642
Extension From Mean
1.941
Impulse Decay Score
0.316
Opposing Wick Pressure
0.295
Volatility Percentile
0.860
Volatility Delta
0.426
Body Ratio
0.522
Closes Position Ratio
0.522
Slope Consistency
0.726
Range Position
0.824
Distance To Recent High
-1.403
Distance To Recent Low
6.568
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7032ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 -0.040
avg -0.016 ± 0.033
OBI Top 10 0.058

Microstructure

Mid Price
5.2660
Micro Price
5.2650
Spread
0.0380%

↑ Bid Wall (Support)

Price
5.2400
Size
37,408.60

↓ Ask Wall (Resistance)

Price
5.2800
Size
31,455.44

📌 Time Data

Start at Closed at Duration
21 May 2026
19:19:02
21 May 2026
20:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.256 5.1328 5.564 2.5 4.862
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 5.256
  • Stop Loss: 5.1328
  • Take Profit: 5.564

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.1328 - 5.256 = -0.1232

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.256 - 5.564 = -0.308

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.308 / -0.1232 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
341.3478 100 64.9444 3.41
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 -0.1232

Taille de position = 8 / -0.1232 = -64.94

Taille de position USD = -64.94 x 5.256 = -341.32

Donc, tu peux acheter -64.94 avec un stoploss a 5.1328

Avec un position size USD de -341.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -64.94 x -0.1232 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -64.94 x -0.308 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -64.94
  • Taille de position USD -341.32
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
5.86 % 20 $
SL % Target SL $ Target
2.34 % 8 $
PNL PNL %
-8 $ -2.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3592 % 100.65 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.564
            [entry_price] => 5.256
            [stop_loss] => 5.12048
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-21 20:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.564
            [entry_price] => 5.256
            [stop_loss] => 5.10816
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-21 20:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.564
            [entry_price] => 5.256
            [stop_loss] => 5.09584
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-21 20:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.039
            [max_drawdown] => 0.162
            [rr_ratio] => 0.24
            [high] => 5.29500000
            [low] => 5.09400000
            [mfe_pct] => 0.74
            [mae_pct] => 3.08
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 24
            [start_at] => 2026-05-21T19:19:02-04:00
            [end_at] => 2026-05-21T21:19:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.039
            [max_drawdown] => 0.189
            [rr_ratio] => 0.21
            [high] => 5.29500000
            [low] => 5.06700000
            [mfe_pct] => 0.74
            [mae_pct] => 3.6
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 84
            [start_at] => 2026-05-21T19:19:02-04:00
            [end_at] => 2026-05-22T02:19:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.33200000
            [high_after] => 5.29500000
            [low_before] => 5.14500000
            [low_after] => 5.07300000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#10 / n/a OK
seuil : top 15 · score du 21/05/2026 19:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime