Long Trade on LTC 22 Jul 2025 at 16:00:48
Take profit at 118.1473 (0.97 %) and Stop Loss at 116.2518 (0.65 %)
Long Trade on LTC 22 Jul 2025 at 16:00:48
Take profit at 118.1473 (0.97 %) and Stop Loss at 116.2518 (0.65 %)
Position size of 1234.5651 $
Take profit at 118.1473 (0.97 %) and Stop Loss at 116.2518 (0.65 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.66 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.59 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.575964 |
Indicators:
119164
0.000998657
119283
0.575964
118317
0.00816274
119283
118073
0.0102488
119283
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Jul 2025 16:00:48 |
22 Jul 2025 16:20:00 |
19 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 117.01 | 116.2518 | 118.1473 | 1.5 | 55.55 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 116.2518 - 117.01 = -0.7582
Récompense (distance jusqu'au take profit):
E - TP = 117.01 - 118.1473 = -1.1373
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -1.1373 / -0.7582 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1234.5651 | 100 | 10.5509 | 12.35 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / -0.7582 = -10.55
Taille de position USD = -10.55 x 117.01 = -1234.46
Donc, tu peux acheter -10.55 avec un stoploss a 116.2518
Avec un position size USD de -1234.46$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -10.55 x -0.7582 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -10.55 x -1.1373 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.97 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.65 % | 8 $ |
| PNL | PNL % |
|---|---|
| -7.39 $ | -0.60 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5983 % | 100 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 118.1
[entry_price] => 117
[stop_loss] => 116.23
[rr_ratio] => 1.43
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-22 16:25:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 118.1
[entry_price] => 117
[stop_loss] => 116.16
[rr_ratio] => 1.31
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-22 16:25:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 118.1
[entry_price] => 117
[stop_loss] => 116.09
[rr_ratio] => 1.21
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-22 17:20:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 118.1
[entry_price] => 117
[stop_loss] => 115.95
[rr_ratio] => 1.05
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-22 17:20:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 1.64
[max_drawdown] => 0.87
[rr_ratio] => 1.89
[high] => 118.65000000
[low] => 116.14000000
[mfe_pct] => 1.4
[mae_pct] => 0.74
[mfe_mae_ratio] => 1.89
[candles_analyzed] => 24
[start_at] => 2025-07-22T16:00:48-04:00
[end_at] => 2025-07-22T18:00:48-04:00
)
[long_term] => Array
(
[max_gain] => 5.04
[max_drawdown] => 0.87
[rr_ratio] => 5.79
[high] => 122.05000000
[low] => 116.14000000
[mfe_pct] => 4.31
[mae_pct] => 0.74
[mfe_mae_ratio] => 5.79
[candles_analyzed] => 72
[start_at] => 2025-07-22T16:00:48-04:00
[end_at] => 2025-07-22T22:00:48-04:00
)
[breakout] => Array
(
[high_before] => 119.92000000
[high_after] => 122.05000000
[low_before] => 115.70000000
[low_after] => 116.14000000
[is_new_high] => 1
[is_new_low] =>
)
)