07 Jun 2026 at 21:57:04

Long Trade on NEAR (BosPullback)

With 79.65 NEAR at 2.048$ per unit. Take profit: 2.2991 (12.26 %) & Stop Loss: 1.9476 (4.9 %)

Long BosPullback on NEAR (07 Jun 2026 at 21:57:04 to 17:10:00 - 2 days )

With 79.6516 NEAR at 2.048$ per unit.

Position size of 163.1266 $
Take profit at 2.2991 (12.26 %) and Stop Loss at 1.9476 (4.9 %)

That's a 2.5 RR Trade
Duration: 2 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 8.15
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_high

rules_regime_5m : bull_low

Score : 1

ml_regime : range_low

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high

tf_aligned : 1

07/06 21:02

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bull_high

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
63%
07/06 20:00
1h ↑ up early_expansion bullish_transition moderate grind expansion range_high
57%
08/06 00:00
15m ↑ up range range moderate grind expansion bull_high
73%
08/06 01:30
5m ↔ neutral range range strong balanced expansion_after_compression bull_high
73%
08/06 01:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=9|retests=1|break_atr=1.11|prog=0.67|zone=tested
  4. stop_price: 1.94756265
  5. tp_price: 2.29909338
  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_up
  11. confidence : 0.98
  12. trend_strength : 0.1428
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.0776
  15. low_delta_atr : 1.5586
  16. current_swing_amp_atr : 2.3955
  17. current_swing_speed : 0.59887
  18. current_swing_efficiency : 0.4341
  19. retracement_ratio : 0.5944
  20. extension_ratio : 1.2941
  21. compression_score : 1.0834
  22. swing_entropy : 1
  23. breakout_strength : -3.0806
  24. distance_to_last_high_atr : -0.7618
  25. distance_to_last_low_atr : 1.5221
  26. pivot_count : 30
  27. swing_count : 29
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1.9539
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : early_expansion
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  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 : 0.583
  46. state : up_early_expansion_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6291
  49. scores_strength_score:
    0.5477
  50. scores_quality_score:
    0.3499
  51. scores_cleanliness_score:
    0.2379
  52. scores_structural_quality:
    0.4417
  53. scores_pullback_score:
    0.5944
  54. scores_exhaustion_score:
    0.2918
  55. scores_continuation_score:
    0.7641
  56. scores_structure_score:
    0.65
  57. scores_volatility_expansion:
    0.8874
  58. scores_momentum_type_score:
    0.6246
  59. scores_risk_score:
    0.1865
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1069
  62. features_ema50_slope:
    0.035
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    0.8945
  65. features_price_vs_ema50:
    0.8908
  66. features_recent_hh_hl_score:
    0.5
  67. features_recent_lh_ll_score:
    0.5
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5243
  72. features_trend_efficiency:
    0.4341
  73. features_impulse_strength:
    3.9953
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.5944
  76. features_pullback_depth_atr:
    2.3748
  77. features_extension_from_mean:
    0.8908
  78. features_impulse_decay_score:
    0.353
  79. features_opposing_wick_pressure:
    0.2907
  80. features_volatility_percentile:
    0.82
  81. features_volatility_delta:
    0.2931
  82. features_body_ratio:
    0.5033
  83. features_closes_position_ratio:
    0.5138
  84. features_slope_consistency:
    0.8966
  85. features_range_position:
    0.1865
  86. features_distance_to_recent_high:
    -15.6096
  87. features_distance_to_recent_low:
    3.5776
  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 : 0.0656
  99. obi_top10 : 0.0656
  100. micro_price : 2.04990392
  101. spread_pct : 0.004878
  102. mid_price : 2.04995
  103. bid_wall_price : 2.04
  104. bid_wall_size : 267873
  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 : 0.0835
  111. obi_top5_std : 0.0102
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7044
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-06-03 15:00:00
        [price] => 3.0843
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-04 02:00:00
        [price] => 2.6301
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-04 03:00:00
        [price] => 2.8334
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-04 09:00:00
        [price] => 2.2919
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-04 12:00:00
        [price] => 2.488
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-05 03:00:00
        [price] => 2.0902
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-05 05:00:00
        [price] => 2.2339
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-05 16:00:00
        [price] => 1.8216
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-05 17:00:00
        [price] => 2.0026
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-05 19:00:00
        [price] => 1.8524
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-05 21:00:00
        [price] => 2.0441
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-06 04:00:00
        [price] => 1.8279
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-06 06:00:00
        [price] => 1.9707
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-06 15:00:00
        [price] => 1.8254
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-07 01:00:00
        [price] => 1.9529
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-07 03:00:00
        [price] => 1.8127
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-07 09:00:00
        [price] => 1.9669
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-07 12:00:00
        [price] => 1.8557
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-07 16:00:00
        [price] => 2.0978
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-07 20:00:00
        [price] => 1.9539
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-07 01:45:00
        [price] => 1.9529
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-07 03:30:00
        [price] => 1.8127
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-07 07:15:00
        [price] => 1.9493
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-07 08:00:00
        [price] => 1.8975
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-07 09:15:00
        [price] => 1.9669
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-07 10:45:00
        [price] => 1.8794
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-07 11:30:00
        [price] => 1.9371
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-07 12:30:00
        [price] => 1.8557
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-07 15:30:00
        [price] => 2.0594
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-07 15:45:00
        [price] => 1.994
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-07 16:30:00
        [price] => 2.0978
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-07 16:45:00
        [price] => 2.0182
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-07 20:00:00
        [price] => 1.9539
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-07 20:30:00
        [price] => 2.0168
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-07 21:45:00
        [price] => 1.9713
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-07 22:15:00
        [price] => 2.0999
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-07 22:45:00
        [price] => 2.0167
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-08 00:45:00
        [price] => 2.092
        [kind] => high
        [label] => LH
    )
    
  161. bos_level_long : 1.9669
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    1.9539
  165. levels_hl_timestamp: 2026-06-07 20:00:00
  166. levels_hh_price:
    2.0978
  167. levels_lh_price:
    2.0978
  168. levels_lh_timestamp: 2026-06-07 16:00:00
  169. levels_ll_price:
    1.9539
  170. strategy_details
  171. demand_zone_top:
    1.9371
  172. demand_zone_bottom:
    1.8557
  173. demand_zone_mid:
    1.8964
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.8972
  176. strategy_details
  177. supply_zone_top:
    2.2485
  178. supply_zone_bottom:
    2.0902
  179. supply_zone_mid:
    2.16935
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    0.7402
  182. ¸
  183. regimes
  184. 1H : bear_high
  185. 15m : bull_high
  186. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 98%

Trend

Trend Strength
0.143
Persistence
0.500
High Δ ATR
2.078
Low Δ ATR
1.559

Current Swing

Amp ATR
2.396
Speed
0.599
Efficiency
0.434

Structure

Retracement
0.594
Extension
1.294
Compression
1.083
Entropy
1.000
Breakout Str.
-3.081
Dist High ATR
-0.762
Dist Low ATR
1.522
30 pivots · 29 swings · Last pivot: ↓ 1.9539 @ bar 144

Trend Analyzer 1H

1H ↑ up up_early_expansion_grind
Confidence 58%

Context

phase early_expansion
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.629
Strength Score 0.548
Quality Score 0.350
Cleanliness Score 0.238
Structural Quality 0.442
Pullback Score 0.594
Exhaustion Score 0.292
Continuation Score 0.764
Structure Score 0.650
Volatility Expansion 0.887
Momentum Type Score 0.625
Risk Score 0.187
Features
Ema20 Slope
0.107
Ema50 Slope
0.035
Ema Alignment Score
0.667
Price Vs Ema20
0.895
Price Vs Ema50
0.891
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.524
Trend Efficiency
0.434
Impulse Strength
3.995
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.594
Pullback Depth Atr
2.375
Extension From Mean
0.891
Impulse Decay Score
0.353
Opposing Wick Pressure
0.291
Volatility Percentile
0.820
Volatility Delta
0.293
Body Ratio
0.503
Closes Position Ratio
0.514
Slope Consistency
0.897
Range Position
0.187
Distance To Recent High
-15.610
Distance To Recent Low
3.578
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7044ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.066
avg 0.084 ± 0.010
OBI Top 10 0.066

Microstructure

Mid Price
2.0500
Micro Price
2.0499
Spread
0.0049%

↑ Bid Wall (Support)

Price
2.0400
Size
267,873.00

📌 Time Data

Start at Closed at Duration
07 Jun 2026
21:57:04
10 Jun 2026
17:10:00
2 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.048 1.9476 2.2991 2.5 2.019
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 2.048
  • Stop Loss: 1.9476
  • Take Profit: 2.2991

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9476 - 2.048 = -0.1004

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.048 - 2.2991 = -0.2511

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.2511 / -0.1004 = 2.501

📌 Position Size

Amount Margin Quantity Leverage
163.1266 100 79.6516 1.63
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 -0.1004

Taille de position = 8 / -0.1004 = -79.68

Taille de position USD = -79.68 x 2.048 = -163.18

Donc, tu peux acheter -79.68 avec un stoploss a 1.9476

Avec un position size USD de -163.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -79.68 x -0.1004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -79.68 x -0.2511 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -79.68
  • Taille de position USD -163.18
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.501

📌 Peformances

TP % Target TP $ Target
12.26 % 20 $
SL % Target SL $ Target
4.9 % 8 $
PNL PNL %
-8 $ -4.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.9082 % 120.52 % 55

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0602
            [max_drawdown] => 0.0145
            [rr_ratio] => 4.15
            [high] => 2.10820000
            [low] => 2.03350000
            [mfe_pct] => 2.94
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 4.15
            [candles_analyzed] => 24
            [start_at] => 2026-06-07T21:57:04-04:00
            [end_at] => 2026-06-07T23:57:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1473
            [max_drawdown] => 0.0313
            [rr_ratio] => 4.71
            [high] => 2.19530000
            [low] => 2.01670000
            [mfe_pct] => 7.19
            [mae_pct] => 1.53
            [mfe_mae_ratio] => 4.71
            [candles_analyzed] => 84
            [start_at] => 2026-06-07T21:57:04-04:00
            [end_at] => 2026-06-08T04:57:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.09990000
            [high_after] => 2.19530000
            [low_before] => 1.98680000
            [low_after] => 2.01670000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#12 / n/a OK
seuil : top 15 · score du 07/06/2026 21:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime