30 Jul 2026 at 13:46:44 hyperliquid

Long Trade on LIT (BosPullback)

With 134.55 LIT at 2.22$ per unit. Take profit: 2.3682 (6.69 %) & Stop Loss: 2.1601 (2.68 %)

LIT LONG BosPullback hyperliquid 30 Jul 2026 13:46 → 08:15 · 18 hours

Position

Entry 2.2196$

Qty 134.5468 LIT

Size 298.64$ (margin 100$) (leverage 3)

Risk Setup

TP 2.3682 (+6.69%)

TP $ 19.99$

SL 2.1601 (-2.68%)

SL $ 8.01$

RR 2.5

Status loss PnL -2.68% / -8.01$ MAE -0.45% MFE +3.20% 1.2R

V3 Shadow Analysis

Filtres V3 : rank, confidence, régime combiné BTC + coin (−10 → +10, seuil ≥ 3), et stop loss ≥ 0.75%.

Quality Rank (id: 53693)
#30 / 45
OUT
seuil : top 15
score du 30/07/2026 13:00

Avg Rank 8h: 0.5293

Quality Score
0.469
score brut du coin
Quality Rank
#30 / 45
OUT
seuil : top 15
Signal Confidence
100 %
OK
seuil : ≥ 40%
BTC Regime Score
+1
−4 → +4 (macro BTC)
Coin Regime Score
+6
−6 → +6 (1D/4H/1H coin)
Combined Regime Score
+7
OK
seuil : BTC + coin ≥ 3
Stop Loss Size
2.68 %
OK
seuil : ≥ 0.75%
Décision V3
WOULD SKIP
rank + confidence + regime + SL size

V4 Shadow Analysis

Filtres V4 : rank, confidence, régime combiné BTC + coin, SL ≥ 0.75%, Supply & Demand multi-TF (1H/4H/1D), Move Maturity multi-TF.

Quality Rank
#30 / 45
OUT
seuil : top 15
Signal Confidence
100 %
OK
seuil : ≥ 40%
Combined Regime Score
+7
OK
seuil : BTC + coin ≥ 3
Stop Loss Size
2.68 %
OK
seuil : ≥ 0.75%
Supply & Demand — near Supply zone (LONG: supply = adverse)
1/3 TF adverse seuil : < 2 TF
TF Near Supply Distance (ATR)
1h clear 1.98×ATR
4h near -0.06×ATR
1d clear —
Move Maturity — move up late = adverse (LONG)
0/3 TF adverse seuil : < 2 TF
TF Direction Maturity Adverse
1h ↓ down early OK
4h ↓ down early OK
1d ↓ down early OK
Décision V4
WOULD SKIP
rank + confidence + regime + SL + S&D + maturity

V5 Shadow Analysis

V5 ne s'applique pas à la stratégie BosPullback. Scope initial : momentum_pullback_v1, momentum_rotation_score, momentum_rotation_v2.

V6 Shadow Analysis

V6 ne s'applique pas à la stratégie BosPullback. Scope initial : momentum_pullback_v1, momentum_rotation_score, momentum_rotation_v2.

Context

Volume 24h (signal)
16.9M $
volume USDT au moment du signal
30/07 13:32
Coin Market Regime V2

Strategic (1D) : bull_high (+3)

29/07 20:00

Operational (4H) : bull_high (+2)

30/07 12:00

Tactical (1H) : bull_high (+1)

30/07 13:00

Score : +6 / ±6

BTC Correlation Coin Market Regime

1H_regime : range_high

15m_regime : range_high

Quality Score

Score composite 0–1 combinant 5 composantes pondérées, calculé sur les bougies 1H
(+ 4H pour la force relative vs BTC).

Momentum (30 %) : retours multi-TF normalisés + pentes EMA 21/50/100.
Force Relative vs BTC (25 %) : surperformance du coin sur 1h/4h/1d/3d + beta 24h.
Volume (20 %) : volume relatif vs SMA20, z-score vs SMA50, tendance EMA5/50.
Qualité de Tendance (15 %) : ADX (force, bon > 25) + Chop Index (trend vs range, bon < 45).
Volatilité (10 %) : ATR% du prix — score optimal entre 0.3 % et 3 %, pénalisé au-delà de 6 %.
Le rank compare le coin à l'univers complet tracké au même instant.

1H
Calculé le 30/07/2026 13:00
Score brut
0.4689
Score SMA
0.4864
Rank
#30 / 45
Rank Norm SMA 8h
0.5293
Rank Norm SMA
0.4641
Calculé le
30/07/2026 13:00
Composante Poids Score Détails
Momentum 30% 0.4854 r1h: -0.613% · r4h: -1.969% · r1d: 1.73% · r3d: 3.38% · ema21_slope: 0.0611% · dist_ema21: 0.296%
Force Relative 25% 0.4683 rs_1h: -0.685% · rs_4h: -1.731% · rs_1d: 0.25% · rs_3d: 3.58% · beta_24h: 2.019
Volume 20% 0.2000 rvol_20: 0.62× · zscore_50: -0.652 · trend: -32.10%
Qualité Tendance 15% 0.4414 ADX: 14.3 (weak) · Chop: 60.2 (neutral)
Volatilité 10% 1.0000 ATR%: 1.858% (optimal 0.3–3 %)

📌 Performance

MAE / MFE Analysis

Strat: BosPullback (★ 4h) Initial Risk: -2.681% (0.0595)
Horizon MFE % MFE R MAE % MAE R MFE/MAE Candles
1h +1.428% 0.5R -0.446% 0.2R 3.2× 12
2h +1.599% 0.6R -0.446% 0.2R 3.6× 24
4h ★ +3.199% 1.2R -0.446% 0.2R 7.2× 48
8h +3.613% 1.4R -0.446% 0.2R 8.1× 96
12h +3.613% 1.4R -0.590% 0.2R 6.1× 144

computed 3 months ago

Prediction

ML Trade Score: -100
ML Pullback Score: 5.35
Prediction Score: N/A

Contexte Multi-Timeframe (au signal)

ⓘ
TF Direction Phase Structure Strength Momentum Volatility Regime Tradability PAQ Move Demand Supply BTC Corr BTC Regime BTC OutPerf RS / BTC Évalué à
1d ↑ up transition bullish_transition moderate grind compression bull_high
56%
noisy_chop 38% early — — — bear_high -3.91% -0.96 29/07 20:00
4h ↑ up range range moderate grind volatile_reversal bull_high
50%
noisy_chop 36% early — near -0.1ATR 0.39 range_high +0.73% +0.01 30/07 12:00
1h ↑ up transition bullish_transition moderate balanced compression bull_high
63%
noisy_chop 44% early near -0.1ATR — 0.46 range_medium +0.74% +0.31 30/07 13:00
15m ↔ neutral range range moderate balanced volatile_reversal range_high
32%
noisy_chop 34% early near -0.5ATR — — bull_low +0.82% +0.02 30/07 13:15
5m —

Move Maturity (au signal)

TF Direction Maturity Age (bars) Age since BOS Amplitude Amp. %ile Extension Ext. %ile
1d ↓ down early 24b — 2.548×ATR p0 +0.198×ATR p21
4h ↓ down early 9b — 1.539×ATR p3 +0.307×ATR p35
1h ↓ down early 3b — 1.071×ATR p0 +0.05×ATR p5
15m ↓ down early 3b — 1.729×ATR p10 -0.589×ATR p47

Maturity — late : Amp ≥ p80 ou Ext/EMA9 ≥ p85 · mid : Amp ≥ p50 ou Ext/EMA9 ≥ p60 · Amp. %ile : amplitude du move depuis le dernier pivot (en ATR) vs historique des swings · Ext. %ile : écart prix/EMA9 normalisé ATR14 vs historique

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 1
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=3|retests=1|break_atr=0.50|prog=0.43|zone=weak|ob:bid_pressure(+0.07)|ob:obi_strong(+0.08)
  4. stop_price: 2.16014112
  5. tp_price: 2.3682472
  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 : pullback_up
  11. confidence : 0.431
  12. trend_strength : 0.0265
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.7704
  15. low_delta_atr : 0.9003
  16. current_swing_amp_atr : 3.0121
  17. current_swing_speed : 0.43031
  18. current_swing_efficiency : 0.4388
  19. retracement_ratio : 1.3414
  20. extension_ratio : 0.9588
  21. compression_score : 1.1437
  22. swing_entropy : 1
  23. breakout_strength : -0.957
  24. distance_to_last_high_atr : -1.7274
  25. distance_to_last_low_atr : 1.2997
  26. pivot_count : 28
  27. swing_count : 27
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    2.2918
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : choppy
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.379
  46. state : neutral_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5436
  49. scores_strength_score:
    0.4929
  50. scores_quality_score:
    0.354
  51. scores_cleanliness_score:
    0.2854
  52. scores_structural_quality:
    0.41
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.278
  55. scores_continuation_score:
    0.509
  56. scores_structure_score:
    0.6696
  57. scores_volatility_expansion:
    0.0999
  58. scores_momentum_type_score:
    0.5488
  59. scores_risk_score:
    0.5204
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0756
  62. features_ema50_slope:
    0.036
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    -0.2712
  65. features_price_vs_ema50:
    -0.0914
  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:
    0.4291
  72. features_trend_efficiency:
    0.4388
  73. features_impulse_strength:
    3.0121
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.3414
  76. features_pullback_depth_atr:
    2.757
  77. features_extension_from_mean:
    -0.0914
  78. features_impulse_decay_score:
    0.5206
  79. features_opposing_wick_pressure:
    0.2472
  80. features_volatility_percentile:
    0.1
  81. features_volatility_delta:
    -0.2401
  82. features_body_ratio:
    0.5327
  83. features_closes_position_ratio:
    0.4789
  84. features_slope_consistency:
    0.3572
  85. features_range_position:
    0.5204
  86. features_distance_to_recent_high:
    -3.9945
  87. features_distance_to_recent_low:
    4.3341
  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 : 0.4371
  99. obi_top10 : 0.5045
  100. micro_price : 2.21897143
  101. spread_pct : 0.045086
  102. mid_price : 2.2185
  103. bid_wall_price : 2.18
  104. bid_wall_size : 70360
  105. bid_wall_dist_atr :
  106. ask_wall_price : 2.25
  107. ask_wall_size : 21631
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.4314
  111. obi_top5_std : 0.004
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7007
  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] => 2026-07-26 15:00:00
        [price] => 2.1107
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-26 19:00:00
        [price] => 2.0644
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-07-26 20:00:00
        [price] => 2.138
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-07-27 10:00:00
        [price] => 2.2878
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-07-27 16:00:00
        [price] => 2.1363
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-07-27 20:00:00
        [price] => 2.2104
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-07-28 01:00:00
        [price] => 2.1071
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-07-28 08:00:00
        [price] => 2.2529
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-07-28 13:00:00
        [price] => 2.1214
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-07-28 16:00:00
        [price] => 2.375
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-07-29 02:00:00
        [price] => 2.2324
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-07-29 05:00:00
        [price] => 2.381
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-07-29 11:00:00
        [price] => 2.185
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-07-29 14:00:00
        [price] => 2.2903
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-07-29 17:00:00
        [price] => 2.1941
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-07-29 18:00:00
        [price] => 2.2766
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-07-29 21:00:00
        [price] => 2.1256
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-07-30 02:00:00
        [price] => 2.2592
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-07-30 07:00:00
        [price] => 2.1637
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-07-30 14:00:00
        [price] => 2.2918
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-07-29 18:30:00
        [price] => 2.2149
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-07-29 19:00:00
        [price] => 2.2666
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-07-29 20:45:00
        [price] => 2.1355
        [kind] => low
        [label] => LL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-07-29 21:15:00
        [price] => 2.185
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-07-29 21:45:00
        [price] => 2.1256
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-07-30 00:00:00
        [price] => 2.1907
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-07-30 00:30:00
        [price] => 2.1527
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-07-30 02:15:00
        [price] => 2.2592
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-07-30 06:00:00
        [price] => 2.175
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-07-30 06:30:00
        [price] => 2.2215
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-07-30 07:30:00
        [price] => 2.1637
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-07-30 08:45:00
        [price] => 2.23
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-07-30 10:45:00
        [price] => 2.1947
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-07-30 12:15:00
        [price] => 2.2437
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-07-30 12:30:00
        [price] => 2.2197
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-07-30 14:00:00
        [price] => 2.2918
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-07-30 14:15:00
        [price] => 2.2566
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-07-30 15:00:00
        [price] => 2.286
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-07-30 16:15:00
        [price] => 2.2372
        [kind] => low
        [label] => LL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-07-30 16:30:00
        [price] => 2.2667
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 2.2592
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    2.1637
  167. levels_hl_timestamp: 2026-07-30 07:00:00
  168. levels_hh_price:
    2.2918
  169. levels_lh_price:
    2.2918
  170. levels_lh_timestamp: 2026-07-30 14:00:00
  171. levels_ll_price:
    2.1637
  172. strategy_details
  173. demand_zone_top:
    2.2014
  174. demand_zone_bottom:
    2.1214
  175. demand_zone_mid:
    2.1614
  176. demand_zone_freshness: weak
  177. demand_zone_strength:
    0.8314
  178. supply_zone :
  179. ¸
  180. regimes
  181. 1H : range_high
  182. 15m : range_high
  183. ¸

Signal Details

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 43%

Trend

Trend Strength
0.027
Persistence
0.500
High Δ ATR
0.770
Low Δ ATR
0.900

Current Swing

Amp ATR
3.012
Speed
0.430
Efficiency
0.439

Structure

Retracement
1.341
Extension
0.959
Compression
1.144
Entropy
1.000
Breakout Str.
-0.957
Dist High ATR
-1.727
Dist Low ATR
1.300
28 pivots · 27 swings · Last pivot: ↑ 2.2918 @ bar 146

Trend Analyzer 1H

1H ↔ neutral neutral_transition_balanced
Confidence 38%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality choppy
strength moderate
exhaustion low
momentum balanced
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.544
Strength Score 0.493
Quality Score 0.354
Cleanliness Score 0.285
Structural Quality 0.410
Pullback Score 1.000
Exhaustion Score 0.278
Continuation Score 0.509
Structure Score 0.670
Volatility Expansion 0.100
Momentum Type Score 0.549
Risk Score 0.520
Features
Ema20 Slope
0.076
Ema50 Slope
0.036
Ema Alignment Score
0.333
Price Vs Ema20
-0.271
Price Vs Ema50
-0.091
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
0.429
Trend Efficiency
0.439
Impulse Strength
3.012
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.341
Pullback Depth Atr
2.757
Extension From Mean
-0.091
Impulse Decay Score
0.521
Opposing Wick Pressure
0.247
Volatility Percentile
0.100
Volatility Delta
-0.240
Body Ratio
0.533
Closes Position Ratio
0.479
Slope Consistency
0.357
Range Position
0.520
Distance To Recent High
-3.995
Distance To Recent Low
4.334
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7007ms Confidence avant OB : 93% → 100%

Order Book Imbalance

OBI Top 5 0.437
avg 0.431 ± 0.004
OBI Top 10 0.505

Microstructure

Mid Price
2.2185
Micro Price
2.2190
Spread
0.0451%

↑ Bid Wall (Support)

Price
2.1800
Size
70,360.00

↓ Ask Wall (Resistance)

Price
2.2500
Size
21,631.00

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.2196 2.1601 2.3682 2.5 3.4391
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 2.2196
  • Stop Loss: 2.1601
  • Take Profit: 2.3682

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1601 - 2.2196 = -0.0595

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.2196 - 2.3682 = -0.1486

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1486 / -0.0595 = 2.4975

📌 Position Size

Amount Margin Quantity Leverage
298.64 100 134.5468 3.00
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 -0.0595

Taille de position = 8 / -0.0595 = -134.45

Taille de position USD = -134.45 x 2.2196 = -298.43

Donc, tu peux acheter -134.45 avec un stoploss a 2.1601

Avec un position size USD de -298.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -134.45 x -0.0595 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -134.45 x -0.1486 = 19.98

Si Take Profit atteint, tu gagneras 19.98$

Résumé

  • Taille de position -134.45
  • Taille de position USD -298.43
  • Perte potentielle 8
  • Gain potentiel 19.98
  • Risk-Reward Ratio 2.4975

📌 Peformances

TP % Target TP $ Target
6.69 % 19.99 $
SL % Target SL $ Target
2.68 % 8.01 $
PNL PNL %
-8.01 $ -2.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.7077 % 101.01 % 20
Entry Stop Loss Take Profit RR Current Price
2.2196 2.1601 2.3682 2.5 3.4391
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 2.2196
  • Stop Loss: 2.1601
  • Take Profit: 2.3682

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1601 - 2.2196 = -0.0595

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.2196 - 2.3682 = -0.1486

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1486 / -0.0595 = 2.4975

📌 ML Extra Data

Extra TP Data

                              Array
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Extra SL data

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MAE / MFE Analysis

Strat: BosPullback (★ 4h) Initial Risk: -2.681% (0.0595)
Horizon MFE % MFE R MAE % MAE R MFE/MAE Candles
1h +1.428% 0.5R -0.446% 0.2R 3.2× 12
2h +1.599% 0.6R -0.446% 0.2R 3.6× 24
4h ★ +3.199% 1.2R -0.446% 0.2R 7.2× 48
8h +3.613% 1.4R -0.446% 0.2R 8.1× 96
12h +3.613% 1.4R -0.590% 0.2R 6.1× 144

computed 3 months ago

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