01 Jun 2026 at 10:52:47

Long Trade on TON (BosPullback)

With 92.11 TON at 1.957$ per unit. Take profit: 2.1736 (11.1 %) & Stop Loss: 1.8696 (4.44 %)

Long BosPullback on TON (01 Jun 2026 at 10:52:47 to 12:20:00 - 1 hour )

With 92.1121 TON at 1.9565$ per unit.

Position size of 180.2174 $
Take profit at 2.1736 (11.1 %) and Stop Loss at 1.8696 (4.44 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
win
Trade Type:
buy
ML Trade Score: 70
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 : bear

rules_regime : bear_medium

rules_regime_5m : bear_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

01/06 10:01

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 ↔ neutral transition bearish_transition moderate grind expansion bull_high
78%
01/06 04:00
1h ↔ neutral range range moderate grind expansion bull_high
79%
01/06 14:00
15m ↔ neutral transition bearish_transition moderate balanced expansion bull_high
74%
01/06 14:30
5m ↔ neutral range range weak grind normal range_medium
43%
01/06 14:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=10|retests=1|break_atr=1.22|prog=0.56|zone=tested
  4. stop_price: 1.86964932
  5. tp_price: 2.1736267
  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 : 0.866
  12. trend_strength : 0.0672
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.8207
  15. low_delta_atr : -0.5023
  16. current_swing_amp_atr : 3.6089
  17. current_swing_speed : 0.51556
  18. current_swing_efficiency : 0.397
  19. retracement_ratio : 1.1663
  20. extension_ratio : 2.9356
  21. compression_score : 0.9726
  22. swing_entropy : 1
  23. breakout_strength : -1.4633
  24. distance_to_last_high_atr : -1.5575
  25. distance_to_last_low_atr : 1.9656
  26. pivot_count : 31
  27. swing_count : 30
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1.8741
  31. last_pivot_index:
    146
  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 : grind
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.499
  46. state : up_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6097
  49. scores_strength_score:
    0.533
  50. scores_quality_score:
    0.3349
  51. scores_cleanliness_score:
    0.243
  52. scores_structural_quality:
    0.41
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2006
  55. scores_continuation_score:
    0.5587
  56. scores_structure_score:
    0.4268
  57. scores_volatility_expansion:
    0.8915
  58. scores_momentum_type_score:
    0.6163
  59. scores_risk_score:
    0.7921
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0308
  62. features_ema50_slope:
    0.0473
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.7014
  65. features_price_vs_ema50:
    1.5544
  66. features_recent_hh_hl_score:
    0.6
  67. features_recent_lh_ll_score:
    0.4
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5139
  72. features_trend_efficiency:
    0.397
  73. features_impulse_strength:
    3.6089
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.1663
  76. features_pullback_depth_atr:
    3.7438
  77. features_extension_from_mean:
    1.5544
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2584
  80. features_volatility_percentile:
    0.86
  81. features_volatility_delta:
    0.2633
  82. features_body_ratio:
    0.5684
  83. features_closes_position_ratio:
    0.5769
  84. features_slope_consistency:
    0.6419
  85. features_range_position:
    0.7921
  86. features_distance_to_recent_high:
    -1.4655
  87. features_distance_to_recent_low:
    5.5825
  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 : -0.042
  99. obi_top10 : 0.1239
  100. micro_price : 1.946744
  101. spread_pct : 0.015411
  102. mid_price : 1.94685
  103. bid_wall_price : 1.94
  104. bid_wall_size : 351705.52
  105. bid_wall_dist_atr :
  106. ask_wall_price : 1.99
  107. ask_wall_size : 286341.68
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0247
  111. obi_top5_std : 0.0197
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7151
  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 14:00:00
        [price] => 1.7098
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-29 17:00:00
        [price] => 1.8076
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-29 22:00:00
        [price] => 1.7361
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 1.7797
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 1.7236
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-30 18:00:00
        [price] => 1.8539
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-30 19:00:00
        [price] => 1.8218
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-30 23:00:00
        [price] => 1.8054
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-31 00:00:00
        [price] => 1.9045
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-31 02:00:00
        [price] => 1.8363
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-31 06:00:00
        [price] => 1.8936
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-31 08:00:00
        [price] => 1.8455
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 12:00:00
        [price] => 1.924
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-31 14:00:00
        [price] => 1.8529
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-31 15:00:00
        [price] => 1.921
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 1.8333
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 1.9446
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-01 01:00:00
        [price] => 1.8949
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 2.02
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 11:00:00
        [price] => 1.8741
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-31 14:00:00
        [price] => 1.8992
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 14:15:00
        [price] => 1.8529
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 15:30:00
        [price] => 1.921
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 1.8333
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 22:15:00
        [price] => 1.9065
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 23:30:00
        [price] => 1.8822
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-01 00:45:00
        [price] => 1.9446
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-01 01:45:00
        [price] => 1.8949
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 2.02
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-01 04:45:00
        [price] => 1.9508
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-01 05:00:00
        [price] => 2.0003
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-01 06:00:00
        [price] => 1.921
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-01 07:15:00
        [price] => 1.9619
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-01 09:45:00
        [price] => 1.9184
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 10:15:00
        [price] => 1.9592
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 11:45:00
        [price] => 1.8741
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 13:15:00
        [price] => 1.9577
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-01 13:45:00
        [price] => 1.9193
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 1.9446
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    1.8741
  165. levels_hl_timestamp: 2026-06-01 11:00:00
  166. levels_hh_price:
    2.02
  167. levels_lh_price:
    2.02
  168. levels_lh_timestamp: 2026-06-01 04:00:00
  169. levels_ll_price:
    1.8741
  170. strategy_details
  171. demand_zone_top:
    1.8307
  172. demand_zone_bottom:
    1.8054
  173. demand_zone_mid:
    1.81805
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.9142
  176. strategy_details
  177. supply_zone_top:
    2.02
  178. supply_zone_bottom:
    1.9508
  179. supply_zone_mid:
    1.9854
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    0.8209
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : bull_high
  186. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 10:52 1.95650000 0%
2 10:58 1.95650000 0%
3 11:31 1.95230000 -0.215%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 87%

Trend

Trend Strength
0.067
Persistence
0.500
High Δ ATR
1.821
Low Δ ATR
-0.502

Current Swing

Amp ATR
3.609
Speed
0.516
Efficiency
0.397

Structure

Retracement
1.166
Extension
2.936
Compression
0.973
Entropy
1.000
Breakout Str.
-1.463
Dist High ATR
-1.558
Dist Low ATR
1.966
31 pivots · 30 swings · Last pivot: ↓ 1.8741 @ bar 146

Trend Analyzer 1H

1H ↑ up up_range_grind
Confidence 50%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion
risk premium
htf unknown
Scores
Direction Score 0.610
Strength Score 0.533
Quality Score 0.335
Cleanliness Score 0.243
Structural Quality 0.410
Pullback Score 1.000
Exhaustion Score 0.201
Continuation Score 0.559
Structure Score 0.427
Volatility Expansion 0.892
Momentum Type Score 0.616
Risk Score 0.792
Features
Ema20 Slope
0.031
Ema50 Slope
0.047
Ema Alignment Score
1.000
Price Vs Ema20
0.701
Price Vs Ema50
1.554
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
-1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.514
Trend Efficiency
0.397
Impulse Strength
3.609
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.166
Pullback Depth Atr
3.744
Extension From Mean
1.554
Impulse Decay Score
0.000
Opposing Wick Pressure
0.258
Volatility Percentile
0.860
Volatility Delta
0.263
Body Ratio
0.568
Closes Position Ratio
0.577
Slope Consistency
0.642
Range Position
0.792
Distance To Recent High
-1.466
Distance To Recent Low
5.583
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7151ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.042
avg -0.025 ± 0.020
OBI Top 10 0.124

Microstructure

Mid Price
1.9469
Micro Price
1.9467
Spread
0.0154%

↑ Bid Wall (Support)

Price
1.9400
Size
351,705.52

↓ Ask Wall (Resistance)

Price
1.9900
Size
286,341.68

📌 Time Data

Start at Closed at Duration
01 Jun 2026
10:52:47
01 Jun 2026
12:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.9565 1.8696 2.1736 2.5 1.6758
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 1.9565
  • Stop Loss: 1.8696
  • Take Profit: 2.1736

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8696 - 1.9565 = -0.0869

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.9565 - 2.1736 = -0.2171

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.2171 / -0.0869 = 2.4983

📌 Position Size

Amount Margin Quantity Leverage
180.2174 100 92.1121 1.80
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 -0.0869

Taille de position = 8 / -0.0869 = -92.06

Taille de position USD = -92.06 x 1.9565 = -180.12

Donc, tu peux acheter -92.06 avec un stoploss a 1.8696

Avec un position size USD de -180.12$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -92.06 x -0.0869 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -92.06 x -0.2171 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position -92.06
  • Taille de position USD -180.12
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.4983

📌 Peformances

TP % Target TP $ Target
11.1 % 20 $
SL % Target SL $ Target
4.44 % 8 $
PNL PNL %
20 $ 11.10
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.966 % 21.75 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.1303
            [stop_loss] => 1.8696
            [rr_ratio] => 2
            [closed_at] => 2026-06-01 15:40:00+00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.17375
            [stop_loss] => 1.8696
            [rr_ratio] => 2.5
            [closed_at] => 2026-06-01 16:20:00+00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.2172
            [stop_loss] => 1.8696
            [rr_ratio] => 3
            [closed_at] => 2026-06-01 16:35:00+00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.26065
            [stop_loss] => 1.8696
            [rr_ratio] => 3.5
            [closed_at] => 2026-06-01 16:45:00+00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.323
            [max_drawdown] => 0.0189
            [rr_ratio] => 17.09
            [high] => 2.27950000
            [low] => 1.93760000
            [mfe_pct] => 16.51
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 17.09
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T10:52:47-04:00
            [end_at] => 2026-06-01T12:52:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.323
            [max_drawdown] => 0.0189
            [rr_ratio] => 17.09
            [high] => 2.27950000
            [low] => 1.93760000
            [mfe_pct] => 16.51
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 17.09
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T10:52:47-04:00
            [end_at] => 2026-06-01T17:52:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.95920000
            [high_after] => 2.27950000
            [low_before] => 1.87410000
            [low_after] => 1.93760000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#35 / n/a OUT
seuil : top 15 · score du 01/06/2026 10:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime