25 May 2026 at 05:49:36

Long Trade on NEAR (BosPullback)

With 81.27 NEAR at 2.422$ per unit. Take profit: 2.6684 (10.16 %) & Stop Loss: 2.3239 (4.06 %)

Long BosPullback on NEAR (25 May 2026 at 05:49:36 to 10:10:00 - 4 hours )

With 81.2671 NEAR at 2.4223$ per unit.

Position size of 196.8532 $
Take profit at 2.6684 (10.16 %) and Stop Loss at 2.3239 (4.06 %)

That's a 2.5 RR Trade
Duration: 4 hours

Results

Status:
win
Trade Type:
buy
ML Trade Score: 50
ML Pullback Score: 10
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 : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

Score : 2

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : range_medium

tf_aligned : 1

25/05 05:01

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 expansion bull_high
85%
25/05 08:00
1h ↑ up range range weak grind compression bull_high
75%
25/05 09:00
15m ↔ neutral range range moderate balanced compression range_high
45%
25/05 09:30
5m ↑ up transition bullish_transition moderate grind normal range_medium
47%
25/05 09:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=19|retests=1|break_atr=0.98|prog=0.52|zone=tested
  4. stop_price: 2.32385914
  5. tp_price: 2.66840214
  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 : 0.957
  12. trend_strength : -0.0217
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2659
  15. low_delta_atr : -0.0884
  16. current_swing_amp_atr : 2.6124
  17. current_swing_speed : 0.2177
  18. current_swing_efficiency : 0.1793
  19. retracement_ratio : 1.0304
  20. extension_ratio : 1.8227
  21. compression_score : 1.2197
  22. swing_entropy : 1
  23. breakout_strength : -1.4677
  24. distance_to_last_high_atr : -1.4443
  25. distance_to_last_low_atr : 1.5561
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    2.329
  31. last_pivot_index:
    142
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : weak
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.572
  46. state : up_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7335
  49. scores_strength_score:
    0.3786
  50. scores_quality_score:
    0.3907
  51. scores_cleanliness_score:
    0.1593
  52. scores_structural_quality:
    0.58
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2566
  55. scores_continuation_score:
    0.5914
  56. scores_structure_score:
    0.7412
  57. scores_volatility_expansion:
    0.2993
  58. scores_momentum_type_score:
    0.4043
  59. scores_risk_score:
    0.9018
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0119
  62. features_ema50_slope:
    0.0485
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.5961
  65. features_price_vs_ema50:
    1.6339
  66. features_recent_hh_hl_score:
    0.8
  67. features_recent_lh_ll_score:
    0.2
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    19
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6813
  72. features_trend_efficiency:
    0.1793
  73. features_impulse_strength:
    2.6363
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.0304
  76. features_pullback_depth_atr:
    2.7164
  77. features_extension_from_mean:
    1.6339
  78. features_impulse_decay_score:
    0.0887
  79. features_opposing_wick_pressure:
    0.3128
  80. features_volatility_percentile:
    0.16
  81. features_volatility_delta:
    0.0049
  82. features_body_ratio:
    0.3358
  83. features_closes_position_ratio:
    0.4811
  84. features_slope_consistency:
    0.5426
  85. features_range_position:
    0.9018
  86. features_distance_to_recent_high:
    -1.564
  87. features_distance_to_recent_low:
    14.358
  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 : 0.0525
  99. obi_top10 : 0.0525
  100. micro_price : 2.42210784
  101. spread_pct : 0.004129
  102. mid_price : 2.42215
  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 : 0.0629
  111. obi_top5_std : 0.0172
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7066
  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] => 2026-05-20 22:00:00
        [price] => 1.6815
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-21 01:00:00
        [price] => 1.7481
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-21 02:00:00
        [price] => 1.7009
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-21 05:00:00
        [price] => 1.7818
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-21 06:00:00
        [price] => 1.7004
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-21 09:00:00
        [price] => 1.7859
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-21 14:00:00
        [price] => 1.721
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-21 15:00:00
        [price] => 1.8298
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-22 09:00:00
        [price] => 2.3046
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-22 10:00:00
        [price] => 2.1947
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-22 13:00:00
        [price] => 2.3347
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-23 08:00:00
        [price] => 2.0102
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-23 18:00:00
        [price] => 2.4739
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-23 22:00:00
        [price] => 2.3375
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-23 23:00:00
        [price] => 2.472
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-24 06:00:00
        [price] => 2.321
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-24 07:00:00
        [price] => 2.433
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-24 10:00:00
        [price] => 2.3343
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-24 14:00:00
        [price] => 2.5089
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-25 02:00:00
        [price] => 2.329
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-24 09:30:00
        [price] => 2.3962
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-24 10:45:00
        [price] => 2.3343
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-24 11:45:00
        [price] => 2.4025
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-24 12:15:00
        [price] => 2.354
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-24 14:45:00
        [price] => 2.5089
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-24 16:30:00
        [price] => 2.3891
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-24 17:30:00
        [price] => 2.4709
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-24 19:30:00
        [price] => 2.3919
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-24 21:00:00
        [price] => 2.5029
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-24 21:45:00
        [price] => 2.363
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-24 22:00:00
        [price] => 2.4463
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-25 01:45:00
        [price] => 2.345
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-25 02:00:00
        [price] => 2.4149
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-25 05:00:00
        [price] => 2.4047
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-25 05:30:00
        [price] => 2.3556
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-25 06:00:00
        [price] => 2.4138
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-25 07:30:00
        [price] => 2.3573
        [kind] => low
        [label] => HL
    )
    
  160. bos_level_long : 2.433
  161. bos_level_short : 0
  162. strategy_details
  163. levels_hl_price:
    2.329
  164. levels_hl_timestamp: 2026-05-25 02:00:00
  165. levels_hh_price:
    2.5089
  166. levels_lh_price:
    2.5089
  167. levels_lh_timestamp: 2026-05-24 14:00:00
  168. levels_ll_price:
    2.329
  169. strategy_details
  170. demand_zone_top:
    2.4353
  171. demand_zone_bottom:
    2.321
  172. demand_zone_mid:
    2.37815
  173. demand_zone_freshness: tested
  174. demand_zone_strength:
    0.7187
  175. supply_zone :
  176. ¸
  177. regimes
  178. 1H : bull_high
  179. 15m : bull_high
  180. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 05:49 2.42230000 0%
2 05:52 2.42330000 +0.041%
3 05:54 2.42330000 +0.041%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 96%

Trend

Trend Strength
-0.022
Persistence
0.500
High Δ ATR
1.266
Low Δ ATR
-0.088

Current Swing

Amp ATR
2.612
Speed
0.218
Efficiency
0.179

Structure

Retracement
1.030
Extension
1.823
Compression
1.220
Entropy
1.000
Breakout Str.
-1.468
Dist High ATR
-1.444
Dist Low ATR
1.556
29 pivots · 28 swings · Last pivot: ↓ 2.3290 @ bar 142

Trend Analyzer 1H

1H ↑ up up_range_grind
Confidence 57%

Context

phase range
structure range
breakout none
quality volatile
strength weak
exhaustion low
momentum grind
volatility normal
risk premium
htf unknown
Scores
Direction Score 0.734
Strength Score 0.379
Quality Score 0.391
Cleanliness Score 0.159
Structural Quality 0.580
Pullback Score 1.000
Exhaustion Score 0.257
Continuation Score 0.591
Structure Score 0.741
Volatility Expansion 0.299
Momentum Type Score 0.404
Risk Score 0.902
Features
Ema20 Slope
0.012
Ema50 Slope
0.049
Ema Alignment Score
1.000
Price Vs Ema20
0.596
Price Vs Ema50
1.634
Recent Hh Hl Score
0.800
Recent Lh Ll Score
0.200
Last Bos Direction
1.000
Bars Since Last Bos
19.000
Candle Overlap Ratio
1.000
Wick Ratio
0.681
Trend Efficiency
0.179
Impulse Strength
2.636
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.030
Pullback Depth Atr
2.716
Extension From Mean
1.634
Impulse Decay Score
0.089
Opposing Wick Pressure
0.313
Volatility Percentile
0.160
Volatility Delta
0.005
Body Ratio
0.336
Closes Position Ratio
0.481
Slope Consistency
0.543
Range Position
0.902
Distance To Recent High
-1.564
Distance To Recent Low
14.358
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7066ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.053
avg 0.063 ± 0.017
OBI Top 10 0.053

Microstructure

Mid Price
2.4222
Micro Price
2.4221
Spread
0.0041%

📌 Time Data

Start at Closed at Duration
25 May 2026
05:49:36
25 May 2026
10:10:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.4223 2.3239 2.6684 2.5 2.4186
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 2.4223
  • Stop Loss: 2.3239
  • Take Profit: 2.6684

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.3239 - 2.4223 = -0.0984

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.4223 - 2.6684 = -0.2461

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.2461 / -0.0984 = 2.501

📌 Position Size

Amount Margin Quantity Leverage
196.8532 100 81.2671 1.97
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 -0.0984

Taille de position = 8 / -0.0984 = -81.3

Taille de position USD = -81.3 x 2.4223 = -196.93

Donc, tu peux acheter -81.3 avec un stoploss a 2.3239

Avec un position size USD de -196.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -81.3 x -0.0984 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -81.3 x -0.2461 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -81.3
  • Taille de position USD -196.93
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.501

📌 Peformances

TP % Target TP $ Target
10.16 % 20 $
SL % Target SL $ Target
4.06 % 8 $
PNL PNL %
20 $ 10.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4128 % 10.16 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.6191
            [stop_loss] => 2.3239
            [rr_ratio] => 2
            [closed_at] => 2026-05-25 13:50:00+00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.6683
            [stop_loss] => 2.3239
            [rr_ratio] => 2.5
            [closed_at] => 2026-05-25 14:10:00+00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0511
            [max_drawdown] => 0.0099999999999998
            [rr_ratio] => 5.11
            [high] => 2.47340000
            [low] => 2.41230000
            [mfe_pct] => 2.11
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 5.11
            [candles_analyzed] => 24
            [start_at] => 2026-05-25T05:49:36-04:00
            [end_at] => 2026-05-25T07:49:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.3755
            [max_drawdown] => 0.0099999999999998
            [rr_ratio] => 37.55
            [high] => 2.79780000
            [low] => 2.41230000
            [mfe_pct] => 15.5
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 37.55
            [candles_analyzed] => 84
            [start_at] => 2026-05-25T05:49:36-04:00
            [end_at] => 2026-05-25T12:49:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.42810000
            [high_after] => 2.70280000
            [low_before] => 2.35730000
            [low_after] => 2.41230000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#15 / n/a OK
seuil : top 15 · score du 25/05/2026 05:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime